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Sunday, May 17, 2026

The Pitfalls and Paradoxes of Central Planning

 

Socialism Has a Future. Central Planning Doesn’t.

INTERVIEW WITH VIVEK CHIBBER

Central planners had a rational vision: replace the anarchy of the market with conscious coordination. Vivek Chibber explains why calculation and incentive problems undermined that vision, but a different sort of socialism can still flourish.

INTERVIEW BY MELISSA NASCHEK

MELISSA NASCHEK: Over time, the Soviet Union developed a system of centralized planning that became synonymous with socialism. How did the system work? What did it get right? And why did it ultimately become so associated with shortages and stagnation?

On the latest episode of the Jacobin Radio podcast Confronting Capitalism, Vivek Chibber and Melissa Naschek discuss the ambitions and challenges of economic planners, and why the defects may be hardwired into the structure of central planning. Confronting Capitalism with Vivek Chibber is produced by Catalyst: A Journal of Theory and Strategy and published by Jacobin.

MELISSA NASCHEK: We’re talking about the dilemmas of having a fully planned economy. This is something you introduced in our previous episode on market socialism. It might be counterintuitive for listeners to hear that you’re going to be critical of a planned economy, especially because socialists have often equated socialism with a planned economy. Why do you disagree or take issue with that?

VIVEK CHIBBER: The basic reason is that it failed. We ought to be skeptical, as any rational person ought to be, because when you see something failing over and over again, it means that there might be intrinsic problems with it. Some problems not just with how it was implemented but the very idea of the thing.

MELISSA NASCHEK: We’re going to spend a lot of time specifically on the Soviet Union, because that’s the most important, canonical example. There were other planned economies besides the Soviet Union’s. But I think this will also give us a good anchor for exploring what a planned economy is, what planned economies were able to accomplish, and why ultimately they pretty much all failed.

To start with the Soviet Union, what were the goals the Soviets had in mind when they were trying to use the state to plan the economy?

VIVEK CHIBBER: It’s good to study the Soviet example, first of all, because it was the most ambitious of all the planning efforts. It was also the one that was tried the longest. The Eastern European attempts really started in the 1950s, but the Soviet Union had about a twenty-year head start on them. Its attempts at planning unfolded over half a century. So it’s a wider canvass on which we can draw to make our assessments.

The picture that emerges from the Soviet experience is that planning was made extremely difficult because of the difficult conditions in which it was carried out. But it’s also the case that when you look at the institutional features of how they planned, the problems that emerged from it are probably going to be general, wherever it’s attempted, whether it’s in a poor country or rich country.

Whatever you think about the Soviet example, the single most important thing for the Left today is that you cannot afford to ignore it. There is a feeling among many socialists that because the Soviet Union was a dictatorship or because it wasn’t a rich country, because planning was tried in an agrarian country, the conditions in which it was carried out were so forbidding, were so difficult, and were so far removed from the traditional vision that Karl Marx and Marxists had about how socialist planning should be institutionalized, that that experience doesn’t count.

And my view — and this is not just my view, much of the economic and historical literature from left and right also says this — while many features of Soviet planning were organic to that country at that time, there are very many more features that are going to be intrinsic to any attempt at planning. Therefore, studying the Soviet experience really is a must for anyone who is thinking about a non-market-based, alternative society.

MELISSA NASCHEK: So what you’re saying is that the issues that the Soviet Union experienced with a planned economy weren’t just because of the historical circumstances they were in; there are fundamental issues with trying to implement a fully planned economy.

VIVEK CHIBBER: Yes, exactly. The conditions — the facts about Russian history and the conditions in which the Soviet Union was built — made things worse, but they are not what made planning fail per se.

Defining Soviet-Style Planning

MELISSA NASCHEK: When we say “planned economy,” we’re trying to contrast it to a capitalist economy. What are the key differences there?

VIVEK CHIBBER: If you take planning at its word — if you take the vision that planners had — what it amounts to or what it is trying to achieve is replacing all the instruments and mechanisms for allocation of goods and services and for the dynamic development of an economy, taking all the signals that the market has and replacing them with a conscious, coordinated planning in terms of directives coming from a central authority as to what to make, how much of it to make, and where to send it.

Think of it as replacing the price signals of the market and the profit motive with conscious directives coming from authoritative bodies, a planning commission in the federal government and localized planning committees.

MELISSA NASCHEK: In the Soviet Union, that authoritative body was the one-party state.

VIVEK CHIBBER: Yes, it was the centralized state. Now in principle, you could have many political parties in a planned economy, so it doesn’t have to be a one-party state. But one thing that the Soviet Union had, which probably any other one would also have to have, is a central planning body or commission, which coordinates the economic activities of the economy as a whole.

If you don’t have a centralized commission, you’re going to have some kind of decentralized independent planning bodies in, say, every state of the country. But if every planning body in the fifty states of America plans for its own state, you don’t have a planned economy — you have fifty planned economies. So if you’re going to plan in a country, you can have decentralized planning institutions like local committees, statewide committees, planning commissions at the level of the state. But any viable planning of a national economy has to be centered in a nation-level body, like a national planning commission. So whatever local bodies you have will have to be accountable to the central one.

MELISSA NASCHEK: I’ll use the term “communist” just because the Soviet Union’s ruling party was called the Communist Party. What was communist about this way of running the economy?

VIVEK CHIBBER: Let’s make a distinction here. On the Left, we often say there’s a difference between “big-‘C’ communism” and “small-‘c’ communism.” So what you’re saying is you’re going to call it “communist” because it was a Communist Party. That’s Communist Party with a big “C.” What’s communist about the Soviet Union in that sense is trivial: it’s communist in the sense that it was ruled by a communist party.

But that’s not what you mean. What you’re asking me is, in what sense did this align with the Marxist vision or the socialist vision of communism? That’s small-“c” communism, which betokens a society that’s an alternative to a capitalist market-based society.

So what was communist about the Soviet Union in that sense, small-“c” communism? The Soviet economy was communist in that it was an attempt, if not to eliminate the market altogether, to at least push it back as far as it could. And the truth is the planners never entirely eliminated it. They couldn’t.

What they did achieve was a substantial reduction of reliance on the anonymous signals of the market. And they did in fact put into place a system where the people running the factories and the agricultural cooperatives essentially decided what to make and how to make it by taking directives from the plan, at least in theory. Now, one of the reasons it fails is that they didn’t, in fact, do what the planners were telling them to do. We’ll get into why that was the case.

MELISSA NASCHEK: These are the famous five-year plans. What did the planning process, as directed by those five-year plans, actually look like?

VIVEK CHIBBER: One way to start is by asking, why have five-year plans? The reason is that if you’re trying to direct the economy as a whole, you need to have a vision of the direction in which you want it to move. You’re trying to industrialize. You’re trying to become more technologically dynamic. So you have to have a moving horizon for assessing whether the actual investments and production decisions that are taking place are in line with where you’d like the economy to go. You need to have a rolling budget, as it were.

Think of your household. When you have an income coming in and you’re trying to figure out what to do with it, you always say, “Let’s have a monthly budget.” Or you say, “Let’s try to have a sense of where we want to go week to week, month to month.” Every consciously planned entity in the world has some kind of plan for itself, whether it’s the household, you as an individual, or whether it’s the national economy.

The Soviets, you might say, arbitrarily decided, “Let’s have a horizon of rolling five-year plans.” It could have been seven; it could have been three. They settled on five. The main thing is that they settled on a rolling horizon.

The five-year plan essentially was taking the economy as it is now, and then looking at what the gross domestic product is, what proportion of the labor force is in this sector or that sector, how the weight of agriculture in the economy compares to the weight of industry, and then saying, in five years, we’d like to be in a different position — maybe with fewer agricultural workers, maybe with more of a machine goods industry, maybe with more consumer goods.

So then you ask, how can we get there?’ And then, to get from here to there, you lay out what proportions you’ll have to reinvest your national savings in. How much should we invest in textiles? How much should we invest in steel? How much should we invest in the consumer goods industry? Then you have to operationalize that.

The way they operationalized it was by having, within the five-year plans, rolling one-year plans. In order to meet your five-year objectives, you say, “That means for each year, we need to have X amount of progress in our investment, in the production of these goods, in the production of those goods.” Therefore, they would revisit every year how much progress they had made toward the five-year plan. The annual plan is broken down into monthly endeavors, et cetera, et cetera. That’s what planning essentially was.

Planning was consciously directing the flows of investment into the sectors that you deemed to be the priority sectors, discouraging investment from sectors that you deemed to be superfluous or unimportant. Then the key — the really hard part — was figuring out how to incentivize the managers of your factories, the managers of the agricultural cooperatives that you had, to follow the dictates of the plan, because you cannot rely on price signals.

Normally in capitalism, what do managers do? They want to make profits. The way to make a profit is by trying to sell, at the lowest price possible, the best-quality good that you can. Nobody’s telling you what to do. You’re just saying, let me look at the prices. Let me look at my costs, and let me now judge how much to produce and where to send it, given the cost that I’m having to pay and given the demand for this good.

MELISSA NASCHEK: Friedrich Engels talks about how one of capitalism’s defining features is the anarchy of the market, which is the opposite of the planning that you’re describing — thinking through, strategically, where would we want to invest in our economy, versus what parts of the economy are not really producing the things we want in our society. In capitalism, money goes where people think it’s going to make a profit.

VIVEK CHIBBER: One way to think of it is there’s no we in capitalism. The we is just every individual firm, every individual enterprise. And the only planning they’re doing is, “How can we best make our profits?” They don’t have a vision of the broader economy. So they just do what it takes to make their profit.

The broader economy moves along its grooves through the unintended consequences of all these individual producers making their profit-making decisions. So nobody knows where it’s going to go.

What planning does is it takes on this enormous burden of saying, “We’re going to actually try to move this economy in a specific direction.” It’s like an orchestra with millions and millions of moving parts. How do we get all of these millions of parts to coordinate their activities, like an orchestra coordinates its music? The conductor in this case is the central planner. That planner has to get everybody else to follow his directions because it only works if they listen to what he is saying.

The Information Problem

MELISSA NASCHEK: So how did all of this work in the Soviet Union?

VIVEK CHIBBER: As I said, the five-year plan is translated into one-year plans. And the one-year plans have to be translated into immediate directives that go from the central planning commission, located in Moscow, let’s say, to the appropriate bodies that oversee production. Now it’s too big a leap to go from the central planning body directly down to each individual factory, because there are only so many people in a central planning body and there are tens of thousands of factories.

So what are they going to do? The first thing you have to do is make regional planning commissions. There’s a centralized planning commission. Then you make regional and state-level ones. And then you go from state-level ones to district ones. What happens is the directives of the plan are first conveyed from the centralized body to the regional ones. And then the regional planning bodies, however many layers they are, finally reach all the way down to workplaces, whatever those happen to be.

The managers of those workplaces — typically the manager will be elected or appointed, but whoever it is inside your workplace that does what managers in capitalism do, which is basically make the decisions — they are then told what they need to make. That’s either done in monetary terms: “You need to make a thousand dollars worth of steel.” But typically it was done in physical terms: “You need to make one hundred steel ingots. You need to make this many corkscrews. You need to make this many ball bearings.” And they’re given a time horizon. We want it by the end of the year, or we might want it by the end of eighteen months, something like that.

So there’s a flow of commands going from the central authority down to the regional ones, and from the regional ones down to the individual workplace. The workplace then is expected to make exactly that good, in that quantity, in that period of time.

MELISSA NASCHEK: Did that actually happen?

VIVEK CHIBBER: No. So let’s get into what has to happen for it to work.

The first thing is, how does the central planner know how much to tell the workplace to make? Because they can’t just pull it out of their hat. So before you actually issue your directives, there has to be a prior process in which you send your people out and get a lay of the land. What are the productive capacities of every individual workplace in the country?

You have to first draw up some kind of assessment of productive capacities. Now, how are you going to do that? You cannot have factory inspectors in such large numbers that they go out to tens of thousands of workplaces and figure it out. And how would they figure it out? How would they know what the productive capacity of each individual workplace is? There’s no way to do it except by eliciting the cooperation of the managers themselves and asking them, “What’s your production record? How have you done in the past?”

You can’t rely on aggregate figures. You can’t rely on national income accounts the way we do now, because that only tells you what the national level of production is. This is an important point. You have to know how much investment there’s been going into this sector or that sector. But if you want to be able to manipulate the investment, you also have to know how much can be done by this firm, and that firm, in that workplace.

MELISSA NASCHEK: Right, because you need data on who’s succeeding, who’s lagging, trying to figure out what factors are going into making certain workplaces successful or not.

VIVEK CHIBBER: Exactly. So planners have to first figure out how much each workplace is capable of making. They do it by gathering information through the workplaces themselves. The workplaces have to voluntarily tell the planners, here’s what we’re capable of.

In the state of Wisconsin, there are this many factories. And according to what they’re telling us, they can make this much steel. In the state of Florida, they can grow this many oranges — things like that. On the basis of that, they now come up with an aggregate picture of where the economy is and what the productive capacities of individual workplaces are. Then they say, given these productive capacities, how much can we ask them to make over the next year? And those directives are sent down to the workplaces.

There’s information that comes up from the workplace to the planners, and then directives that flow down from the planners to the individual workplaces. That’s first carried out at the level of this one-year plan. Then each one-year plan is folded into an evolving five-year plan. And once a five-year plan is done, you make a new five-year plan. And that’s then broken down into individual one-year plans.

That’s a very pretty picture. Logically, it makes a lot of sense to do it that way. For it to work, you need two things. First, that the information coming up from those workplaces is accurate. Second, that the directives that go down from the planners are actually followed.

In between the first process and the second, the planners have to be able to process all that information that’s come to them, and then, in a timely fashion, collate all of that information so that they can figure out how that entire economy is laid out geographically and things like that.

This did not work. The question is, why not? One traditional answer, and it’s not wrong, is that there’s just so much complexity in this economy — there are so many moving parts, there are so many workplaces and factories — when all that information comes up, how are you going to ever know how it all fits together?

MELISSA NASCHEK: Because economies are integrated. If you’re making ball bearings here, that’s connected to how many cars you’re going to make out of the ball bearings.

VIVEK CHIBBER: Right — how do they know what to put in the directives?

MELISSA NASCHEK: Exactly.

VIVEK CHIBBER: When you start with saying, “We need so much steel,” in order to make that steel, you have to know everything that goes into making steel. And it’s all integrated. In order to have all those things go into the steel, you have to ask, “Well, how many blast furnaces do we need?” For the blast furnaces, you have to ask, “How much coal do we need?” For the steel to be made, you have to ask, “Okay, once all that steel is made, where’s it going to go? Who’s going to use it?” Trains, automobiles, and so on.

In economics, these are called complementarities or linkages. Everything is linked. If you screw up one of those links, it radiates all across the economy. So you have to be able to handle complexity at a level that just boggles the mind.

MELISSA NASCHEK: Did that happen in the Soviet economy?

VIVEK CHIBBER: It did not. They were not able to handle all that complexity. They were not able to in fact come up with adequately integrated models.

When there are not adequately integrated models, here’s what’s going to happen. The directives you’re sending down to the regional bodies, and from the regional bodies to the workplaces, are going to be based on faulty information. Assume for a second that those workplaces follow to a letter everything you’ve asked them to do. If it’s based on faulty information, they will be following to a letter tremendously skewed and ineffective plans.

The number of ball bearings you’ve made is going to be inadequate in some way, because the planner didn’t fully appreciate what the links are between the ball bearings and the cars that they’re going to make, between the cars and the steel that’s going to be demanded by the cars, and so on.

Once that informational chasm overwhelms planning, planning becomes essentially like a blind man trying to figure out where to go in a very large room. He’s stumbling around. That’s the first problem. That historically has been why many analysts think planning failed.

Now, there’s a response to this, and the response is, well, computers. Of course, if you have an actuary sitting with a marble plate in a room somewhere trying to figure out the numbers, he’s going to be overwhelmed with all this stuff. But what about once you have supercomputers that can take reams and reams of information and literally within a second process all of it into an input-output matrix in some kind of integrated model? Surely that will enable you to overcome this.

Certainly, I think there’s a lot to this. In my view, if information processing were the only reason that planning failed, I think the advent of computers should enable us to have much rosier expectations about planning.

The Incentives Problem

MELISSA NASCHEK: You said that was the first problem. What’s the second problem?

VIVEK CHIBBER: If information processing were the only issue, we could probably solve it. But while the information problem is one leg of the dilemma, there’s a second one, which I would describe as the incentives issue. The incentives issue has an independent logic and an independent bearing on planning, which cannot be solved with supercomputers or something like that.

The incentives issue is this. If you’re giving directives to individual workplaces, those workplaces are going to be held accountable: once we’ve given you an order, you’ve got to produce exactly what we told you. If they understand that they’re going to be punished for not coming through with whatever the plan tells them, they are going to do the best that they can to follow the plan if they can be assured that everything they need to be successful will also be provided to them.

So if you’re a car maker and you’ve been told, “I want you to make 10,000 units of this car,” you have to also be assured that you’ll get the steel, the rubber, the ball bearings, everything that goes into making the car for which the planner is responsible.

I talked earlier about complementarities. In the Soviet case, because there were so many moving parts to every plan — there were so many things that had to come together for any individual workplace to be able to deliver on what it was told — if any one of them broke down, the manager at the workplace would be unable to fulfill whatever his directives were. If you don’t get the steel you need, not just in the right quantity but at the right time; if you don’t get the ball bearings you need, not just in the right quantity but at the right time . . . if anything goes wrong, you’re going to be held accountable for that.

As it happens in the Soviet Union, everything went wrong all the time. Because transportation would break down; you wouldn’t have enough cars in the railway to deliver things. And because, at that time, information wasn’t being processed fast enough.

Suppose you’re the factory manager, and you’ve been told to do this, that, and the other, but because of all these imponderables, you’re not getting the inputs you need. What do you do? You start adjusting your expectation: you’re not going to get what you need, but you’re going to be held accountable for the plan. So how do you adjust yourself? If I’m a workplace manager and you’re the planner, if I told you my factory can make 1,000 cars a year, you then tell me, “Cool, for next year, make 1,050, because we need a growing economy,” I’m going to be held responsible for making 1,050 cars.

But my inputs don’t come in on time. And now, I’m going to be punished if I don’t come up with 1,050. I’m only capable of making 800 because of all these breakdowns. So what do I do? I think, I’m probably not going to get everything I need. It’s probably going to mean I can only make 800. So I’m going to tell them that I’m capable of making 600. Why 600? Because if I make more than 600, I’ll be rewarded. But if I don’t meet the 1,050, I won’t be punished.

MELISSA NASCHEK: What effect did that have on the economy?

VIVEK CHIBBER: Remember I said there has to be a two-way process of information flowing from the workplaces to the planners, and then directives going from the planners to the workplaces. For it to work, the information coming from the workplaces has to be accurate.

Because of the uncertainty and the possibility of breakdown in the provision of inputs, manpower, things like that, managers have an incentive to lie when they give the information to the planners. That means then that the information coming in is itself skewed. Even if you can process it with supercomputers, now the information is going to be unconnected to the actual productive capacities of the economy.

Of course, the planner is going to be giving directives with only a notional connection to what’s out there in the economy. That means some part of your productive capacity is going to go to waste, which means that you’re not going to be growing at the level you can.

But it gets worse. Everybody’s smart. After a certain period of time, planners figure out that they’re being lied to. Once they figure out they’re being lied to, they have to build into their directions some coefficient or level of expectation of what the quantity of the lying is. So it becomes what you might call an educated guess: Melissa is telling me she can make 600 cars. I think she can make 800. So I’m going say, “Make 900.”

MELISSA NASCHEK: It sounds like game theory.

VIVEK CHIBBER: That’s exactly what it is. It’s a game-theoretical situation in which each person is strategically lying to the other.

But this means planning is not planning at all. It’s a strategic game between two people about how much they can outthink the other. It’s the opposite of planning. It’s a kind of war.

If this is true, look what we’ve uncovered. The possibility of processing all that information doesn’t help you if the information coming in is garbage. And the information that’s coming in is garbage because the incentives of those workplace managers are not aligned with the incentives of the planners. That means that there’s a mismatch in the incentive structure of the economy.

Furthermore, whatever bad information is coming in is coming in as a consequence of the misalignment of the incentives, which means that a big part of what I call the information problem is actually a downstream consequence of the incentive problem.

So unless you can get the incentives laid correctly, you’re not ever going to get the correct information in order to be able to plan adequately. Planning will never be fixed until you get the incentives fixed. The question for us then is, can you get the incentives aligned so that managers stop lying to planners and planners stop trying to outflank the managers?

MELISSA NASCHEK: Why not just let some firms fail, then, in a planned economy?

VIVEK CHIBBER: One possibility is, “Listen, if you’re not doing what the plan asked you to do, and if I know you’re lying to me, I’m just going to let you fail.” The interesting question is, why didn’t they do that? If the idea occurs to us, surely it occurred to them, and it did.

The problem is this: If the directives you’ve been given are directives that you cannot reasonably follow because the inputs you were promised were not delivered to you, the question is, who’s responsible for the failure to produce as directed? Surely some of the responsibility falls on the planners, because they didn’t get you the inputs you needed.

I said to you, in my capacity as a planner, “Here’s your responsibility, make these cars, and the plan will give you the inputs you need.” Part of the plan is our assurance to you — because we’re not allowing you to go out and buy them on your own. I’m telling you, “Hey, just do what you’re told. You will get the inputs.”

Now, suppose you didn’t get the inputs. And then, on top of that, I tell you I’m going to let your firm go out of business. It’s not just you now; every other worker in that firm is going to suffer. And all those workers are going to say, because you’re going to tell them, “This is not my fault. If those inputs had arrived on time, I could have done what I needed to do.”

Well, the workers are going to ask, “Why didn’t they arrive on time?” You’re going to turn around and say, “Because the planner, and whoever the planner had organized to provide me the inputs, failed.” And that means you cannot be forced to take all the punishment if you do not bear all the responsibility for the outcome.

In a planned system, when the needed inputs, raw materials that every enterprise needs are not forthcoming, planners cannot be shielded from the responsibility of that enterprise or workplace not delivering and coming through. That means planners are in a difficult situation where they can’t come and say, “I’m going to let you fail.” Because now in that region, every worker, and every worker in connected enterprises who will suffer from yours being shut down is going to turn around and get really angry at that planner, at the planning bodies, and so on. You could have a constant civil war going on.

So for the planner, it’s easier to say, “Look, just do better next time. I’m not going to let you go under.” This is called a soft budget constraint.

Firms were able to say, “It’s not my fault.” So when they couldn’t make profits, when they couldn’t make the right amount of the good, they were not allowed to go under. They were just plied with more money, with more resources, in the expectation and the hope that they would do better the next time around.

MELISSA NASCHEK: I imagine so much investment money was wasted propping up firms that should have been allowed to fold.

VIVEK CHIBBER: Enormously. The aggregate outcome of all this is stagnation. It’s very, very low growth. Because the managers of the workplaces don’t have an incentive to innovate — they’re afraid to do so. The planners don’t have an incentive to innovate, because now they’ll throw their rules of thumb all out of whack. On top of that, money is being sunk into failing enterprises.

You put those two things together, it’s a recipe for stagnation, which after the 1960s, you really had. The entire Khrushchev–Brezhnev era, from the 1960s through the late 70s, was one of very low, slow economic growth.

The Short Twentieth Century

MELISSA NASCHEK: In the beginning, we talked about trying to disentangle what was historically specific about the Soviet economy versus what was general, or an intrinsic problem with a planned economy. One thing I’m wondering, as you’re talking about this informational problem, is why they were lying. Was it because of problems that were specific to the Soviet Union?

VIVEK CHIBBER: The misalignment of incentives happens because of the wariness of the managers about getting directives that they won’t be able to fulfill. And that worry comes from the fact that they think there’s going to be a breakdown where they won’t get everything they need, but they’ll be held responsible for not living up to the standards of the plan.

In a very poor country, with poor transportation and poor logistics and poor information, the chances for breakdown really increase. The question for us is, imagine a richer country like the United States, where there’s more reliable electricity, more reliable transportation, and things like that. Would that solve the problem of uncertainty and the possibility of breakdown in provisions of inputs?

To some extent, it would, but not to the extent that you need in order for planning to work. There are all kinds of reasons why the provision of inputs can break down, even in advanced settings. There can be random fires; people get sick; certain factories produce suboptimal goods.

MELISSA NASCHEK: Someone could start a war.

VIVEK CHIBBER: Someone could start an unprovoked war. If you’re in the United States today, there’s a war every few years.

There are all kinds of reasons things break down. When you have no slack, when you have no cushions, every time a breakdown occurs in one sector, in one factory, in one region, it affects ten, twenty, or thirty others because everything’s connected. As soon as that becomes a predictable part of the system, every player in the system starts acting strategically to protect their butt from getting punished.

Once that starts at the level of the enterprise, planners are also going to do the same. Part of it is going to be, they’re going to try to outflank the operators, but then they’re also going to start lying to the higher bodies up because planners are also held accountable for what the results of planning are. As long as there is an expected and baseline level of uncertainty, which there has to be in every economic system, you will get this kind of strategic bargaining.

In economics, they call it a principal-agent problem. You will get this problem where workplaces are not following the directives of the plan and instead are simply trying to protect themselves by strategically lying, by hoarding resources, by keeping stuff to themselves, by cutting secret deals at the local level with workers and suppliers. There is no reason to think this will ever be solved.

The dilemma is this. There is a problem of information. Supercomputers will in fact help process information better. But if the information coming in is junk, and if that junk is built into the system because of the incentives that operators have in workplaces to lie, you will not have a planning system that can be put on its feet through the advent of computers or artificial intelligence or anything like that. I don’t see any reason to think that that strategic misalignment of incentives is simply there because of Russian backwardness or poverty.

MELISSA NASCHEK: Or Joseph Stalin.

VIVEK CHIBBER: Or Stalin. It is intrinsic to the system. I don’t see any way around it.

MELISSA NASCHEK: What role do you think Stalin and authoritarianism within the Soviet Union played in the planned economy not working?

VIVEK CHIBBER: It played an important though not decisive role. How was it important? Ignore for a second the general atmosphere of fear and intimidation and terror and all that. Let’s just think about the planners.

Because the planners feared reporting to the party that there were deep problems inside the plan. They had to fudge the figures to try to keep Stalin and the Politburo happy, because they didn’t know what kind of punishment they’d be getting. If there’d been a more open atmosphere, they could have more openly and adequately debated among themselves, and perhaps at the higher levels of the party, what was and what was not working.

MELISSA NASCHEK: Did anyone try?

VIVEK CHIBBER: They absolutely did try. But it was not a regular part of the system. It happened when there was a shake-up.

When Stalin dies, there was an opening when Nikita Khrushchev first comes to power, where these things were discussed quite frankly. And when Khrushchev came to power, there was in fact a loosening of the plan and the plan directives to acknowledge that we just can’t have such a tightly controlled economy because it’s not working. But that soon dried up. When Leonid Brezhnev replaced Khrushchev, there was some opening again, but that soon dried up. You needed it to be a regular part of the political system, and it just wasn’t.

But imagine that there was an open system. Imagine that there was more space for pluralism and for discussion. The fact of the matter is, you can discuss it till you’re blue in the face. As long as there are these misaligned incentives between operators of the firms and the planners, you’re not going to solve the problem. Because planners can openly talk about how they’re being systematically lied to, but they can’t create an incentive to not be lied to as long as there’s this level of uncertainty that the enterprise managers are facing. And as long as they’re held accountable for outcomes that they cannot themselves control, they will lie to you. And if they’re lying to you, all the supercomputers in the world aren’t going to be able to solve that problem.

MELISSA NASCHEK: How did the Soviet Union last as long as it did?

VIVEK CHIBBER: A system like this is good at treading water, and that’s what they were able to do.

Suppose the planner knows that he’s being lied to. What he does is say, “I know that with our productivity levels and our technology, if it’s used wisely, it can probably increase production by about 4 percent a year. But I know Melissa is lying to me. So whatever number she gives me, I’m just going to add 3 percent to that. It’s less than the 4 percent that I think we can do, but 3 percent is probably manageable.” It’s called a rule of thumb.

The economy moves forward by this rule of thumb that takes whatever junk information I’m getting and add a certain coefficient to it and convey that back to the workplace as what they have to do. So the economy can keep chugging along at 1 percent, 2 percent, 3 percent a year, because those rules of thumb suit both people — you know at the workplace that this is what I’m probably going to get, so if I lie enough, I can calculate what the directive is going to be. I know that Melissa is lying to me, but if I just use this rule of thumb, I’ll keep the higher-level planners off my head, and I can get it out of her.

So the economy chugged along, but it chugged along using outmoded technology. There was no incentive to bring in new technology because every time new technology comes in, it throws all the calculations out of whack.

MELISSA NASCHEK: We talked in a previous episode about how even capitalist economies sometimes struggle to integrate new technology.

VIVEK CHIBBER: If in capitalism, managers are kind of conservative and they’re afraid to bring in new technology unless they absolutely have to because it’s an imponderable — you don’t quite know how it’s going to fit in in your existing system — for Soviet managers, everybody had an incentive to try to just do the baseline level of production.

MELISSA NASCHEK: One of the problems with new technology is that it’s disruptive. So if you’re talking about this economy where everything is so heavily dependent on everybody producing these exact but also kind of bullshit figures, then a huge disruption like the introduction of new technology or new machinery could be devastating temporarily.

VIVEK CHIBBER: There was a very strong disincentive to innovate in that system. Any system like that you can imagine, it’ll chug along for a while. But if there are big exogenous shocks, if there’s a big disruption of the global economy, it becomes harder for it to recover.

Not surprisingly, when the oil shocks hit in the 1970s, when there was a big currency crisis in the wake of the oil shock, that’s when you saw the Soviets take a really big hit. They had a very hard time recovering from that.

MELISSA NASCHEK: But it’s not just that the Soviet Union chugged along, right? They were a world superpower for decades.

VIVEK CHIBBER: It was a fictitious superpower. The Soviet economy was about a quarter the size of the US economy, but they had to have a military budget that could rival the Americans’. You could predict that in the long run that system would fail because so much of their money was going into a sinkhole to fund that huge military.

Now, here’s a thought experiment: Suppose they hadn’t had to fight this Cold War with the United States, what would have happened? They probably would have lasted longer, but you still had the problem that with this basically stagnant economy, with not much technological innovation, over time per capita incomes and standards of living are going to stagnate and even start going down. That is a system that’s not going to last very long.

Until you can solve the problems of innovation, growth, and technological change, no economy in a global capitalist system is going to be able to survive. And any attempt at socialism is going to be incremental. You’re not going to have a global shift to socialism simultaneously. That’s why any country that tries is going to have to figure out how to innovate, be dynamic, be productive. And that’s one big reason why myself and others say your best bet is market socialism.

Planning in Capitalism

MELISSA NASCHEK: You’re talking a lot about the problems with the integration of the economy in a planned economy. But wouldn’t a capitalist economy have the same sorts of issues?

VIVEK CHIBBER: Every economy has linkages. Every economy has complementary firms: one firm produces for another and consumes from another or so and so. That’s true in capitalism as well.

The difference between the centralized planned economy and a capitalist economy is that in a capitalist economy, if I fail to get the parts that I need from somebody, I can turn around and get it from somebody else. And if I fail in all of that, I’m allowed to sink. I’m allowed to go under.

What happened in socialism was the whole essence of planning is, every part in the whole is consciously directed and connected to another part in the whole. They were in fact geared toward not having any slack. Because if you have slack, you’re wasting your resources. And the whole point of planning was to not have waste.

In the minds of the Soviet planners, capitalism was rife with waste. Capitalists invested blindly. They may or may not sell their stuff. If they don’t sell it, their factory goes under, even though it’s productive, but you mothball it because it’s not making the profits you want. And that’s a waste. Even John Maynard Keynes agreed with that.

The difference is that in capitalism, because workers are forced to bear all the costs, nobody in the ruling echelons worries about it very much if a factory goes under because the people who own the factory liquefy those resources and put them somewhere else. And somebody is going to bear the cost. In planning, everything was tightly integrated precisely because you did not want to have resources sitting idle.

In capitalism, as a producer, if you don’t get the inputs you need, you can just say, “Screw it. I won’t go back to that guy to whom I subcontracted. I’ll just get them from somewhere else.” And that person you got them from now says, “Great, I’m just going to sell my stuff to Melissa. I won’t sell it to the other person.” People suffer, some firms go under, but that’s life. It’s what Joseph Schumpeter called “creative destruction”: you’re destroying a lot of assets, but you’re doing it in a way that the aggregate outcome is technological dynamism.

Centrally planned economies were built not to have slack. So when one thing broke down, there was no avenue for that manager, at least on paper, to get stuff from elsewhere. What they did was they jerry-rigged it. The managers of firms informally cut deals with other providers so that they could get the parts that they needed.

And because this is informal and they can’t tell the truth, they’re undermining the plan while they’re doing it. Because now, if somebody else is giving you the parts clandestinely that you couldn’t get from me, that person who’s giving you the parts can’t provide those parts to somebody else. Every adjustment throws the plan out of whack.

MELISSA NASCHEK: Is this why you’re so in favor of market socialism, to provide a little bit more of a cushion?

VIVEK CHIBBER: What happens in market socialism is you plan in those areas where planning is known to work and where you don’t have this kind of complexity, and you leave to the market those areas where planning really has a hard time. You learn through experience what those are going to be. But what you’re doing in this process is dramatically reducing the burden on the planner about the information that they’re getting.

Suppose you’re planning in utilities. Because the time horizon of power generation is so much longer, it also means that the ability to adjust is that much greater. If something goes wrong, you have months to adjust to it. Whereas if you’re making, for example, automobiles, the time horizon is a lot shorter. You’ve got to make adjustments on the fly, and you don’t have the time to do it. So when the plan goes askew, you can’t adjust the plan.

Market socialism, in essence, is reducing the burden on the planner and in so doing is reducing the incentive for them to be lied to. Because of that, the plans have a greater chance of succeeding in those sectors of the economy where we will actually have planning. And that’ll be a fraction of what it was in the centrally planned economy.

MELISSA NASCHEK: A lot of capitalist states have implemented aspects of what we would call a planned economy. What parts of the model have capitalist states tended to incorporate and why?

VIVEK CHIBBER: This is best understood if you divide the world up into the Global South and the more developed economies. In the Global South, from, say, 1945 to the 1980s, there was a huge initiative toward planning, even though they were all capitalist countries. They tried very hard to do what centrally planned economies do, which is to direct the flows of investment from one sector to another, from low-priority sectors to high-priority sectors.

That’s what they were trying to do. They used many of the planning models that the Soviets had, constructing these very elegant input-output matrices of the economy that showed in what proportions sectors were connected to each other, and how once you have those proportions, you can figure out the quantities of investment that each sector should be given in order to get a growth rate of the kind you want. On paper, that’s pretty much what the central planned economies were doing too.

The difference here was, in a capitalist economy, the people controlling investment were private operators. The state had no control. So in the developing world, planners had to figure out how to get profit-maximizing firms to do what the planners wanted, rather than what the market was telling them to do. They were moderately successful at that at best, but surprisingly successful given that it’s capitalism.

In the Global North, planning of that kind, economy-wide planning, was really never attempted — except for maybe a brief period in France from, I would say, the late 1940s into the mid-1960s. No other capitalist country really tried anything like comprehensive planning.

What you had in the advanced world was what you might call sectoral planning. States planned power generation; they planned the growth of health care. These are sectors in which you were able to replace private capital or you were able to direct private capital because the way in which demand growth occurs and the ways in which the supply conditions relate to each other have a time horizon and have an ability for slack that other ones don’t. So in capitalism, you do have some degree of de facto planning in these sectors.

MELISSA NASCHEK: Would you put something like the CHIPS Act in this category?

VIVEK CHIBBER: I wouldn’t call that planning. What the CHIPS Act tried to do was to essentially hothouse greater levels of investment and research and design in that sector. But that’s a kind of subsidization of the sector.

For it to have been planning, you also needed to have some control and influence over output, the timing of the output, and the proportions in which it’s being done. And Joe Biden and Donald Trump before him never really tried to do that. It was basically saying to them, “We’re going to give you a whole bunch of money, a whole bunch of inputs, please use these wisely.” And they have no control over what’s being done with it.

MELISSA NASCHEK: You mentioned in the market socialism episode that you’re very skeptical of our ability to plan in consumer sectors. But on the flip side, there are these massive corporations like Amazon and Walmart that are basically the size of a country. How do they function if not by some measure of planning?

VIVEK CHIBBER: It’s not just Amazon and Walmart. Any firm above a baseline size engages in what we might call planning. They plan for future growth. They have to plan for the arrival of inputs. They have to plan for their manpower needs, all that sort of stuff. And you can call that planning.

You might say then that, if these firms are already doing it now, why not just translate that into economy-wide planning down the line? And that means that my verdict on the failures of planning might be a little too pessimistic.

But I think this is a misconception. It’s true that Amazon and Walmart plan on how fast they want to grow, where their inputs are going to come from, and they reach out to the input providers and make sure they’re delivered. But two things. They’re the size of small countries, but they’re a very small part of the American economy. For the economy as a whole, they’re not very large. If you just look in terms of overall profits and value-added, it’s not like they account for a third of the economy or something.

So even if these firms had solved their internal planning problem, it’s a real stretch to say that a significant part of the American economy is now planned.

Second, they plan, but in a very un-Soviet-like way. What are they doing? They have a sense of where their inputs are coming from, what their input-output matrix is going to be, what their growth rates are going to be. But the whole point is this: if something breaks down in Walmart’s delivery services or in Amazon’s, what do they do? They immediately turn around and find another supplier on the market. They immediately turn around and create redundancies for themselves. They’re free to do that.

They are planning in a notional way, but they are freed from the essential dilemmas that enterprises had inside planning in the Soviet style, which was that if your inputs break down, there are no redundancies. You don’t have the freedom to go and find something on your own because now you’re disrupting the plan. Because Amazon and Walmart are functioning in a nonplanned economy, if something in their individual plans break down, they go on the fly and create a new plan and find new suppliers and new buyers. That is not going to be possible in a fully integrated planned economy.

The point is, first, Amazon and Walmart are just individual firms that do their own vertically integrated planning — planning from the provision of raw materials and the ground-level suppliers all the way up into the planning of their warehouses and where they sell. A planned economy has many vertically integrated firms that then have to coordinate horizontally with tens of thousands of other firms. There’s no way on earth you can say Walmart and Amazon do that kind of horizontal planning.

Second, when that horizontal planning breaks down, to the extent that they do it, they just turn around and find someone else to [supply their inputs] because that’s the essence of a market economy. That’s not going to be how a planned economy works. If it is, then you’re not planning anymore.

I think the idea that what they’re doing is planning is wrong. It’s planning by changing the meaning of the word “planning.” Even if you had adequately vertically integrated planned firms, you still would have to coordinate tens of thousands of them in a planned economy. That’s a qualitatively different dilemma than what Amazon and Walmart face.

Lessons Learned?

MELISSA NASCHEK: What do you think leftists should learn from the failure of fully planned economies?

VIVEK CHIBBER: What they should learn is that the burden of proof is on us, on the Left, if we want to continue with this slogan of replacing the market with the plan. The burden of proof is on us to show that it can work. You might say that along with this ought to come a kind of humility about facts and about the world.

One of the consequences of the abject defeat of the Left over the past forty years is that it’s retreated into these very tiny little groupuscules, or even worse, online chats. Because they have no power, because they can’t change anything, they have the luxury of sticking to beliefs as religious commitments. They stick to their guns because they really are just seeking affirmation.

But if you’re going to start moving things in the world, if you’re actually going to get to the point where you can think about shaping society, it would be criminally negligent to ignore the experience of decades upon decades of planning and say to yourself, “Well, that wasn’t what my vision of socialism is, so I’m going to ignore it.”

Because if you do that, I can guarantee 100 percent you will end up repeating many of the mistakes and falling into the same dilemmas that the planners did. And you’re going to waste what will probably be the last opportunity we will ever get to try to build an alternative society. Because in history, you don’t get three strikes. You typically only get one strike. You’ll be very lucky to get a second strike.

MELISSA NASCHEK: This is one of the things that I time and again come back to about why Marxist analysis is so satisfying and provides such a great guide for political strategy. The distinction that you provided, of what is historically specific versus what is an intrinsic problem with planning is essential to evaluating: Did something not work because of a historical situation that would have no bearing on the present day? Or are there intrinsic problems with this, which means no matter what historical situation you put it in, it’s not going to work?

VIVEK CHIBBER: If we’re actually serious about changing the world, people on the Left, Marxist or non-Marxist, but people who are actually trying to fight for socialism, should be the most remorseless and the most merciless when it comes to facts. Unfortunately, we’re a long way from that right now.

CONTRIBUTORS

Vivek Chibber is a professor of sociology at New York University. He is the editor of Catalyst: A Journal of Theory and Strategy.

Melissa Naschek is a member of the Democratic Socialists of America.

Newspaper Summary 180526

 The article titled “Govt spark likely for long energy storage” (continued on page 6 as “India races to build long-duration energy storage”) from the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Govt spark likely for long energy storage

Support for long-duration energy storage to aid green power

By Manas Pimpalkhare & Rituraj Baruah New Delhi

India is scrambling to solve a growing clean-energy paradox: the country is adding renewable power at a record pace, but it lacks the storage capacity needed to use that energy when the sun sets and wind generation drops.

To bridge that gap, the Union government is preparing a financial support scheme for long-duration energy storage (LDES) technologies, according to three people aware of the discussions.

The proposed scheme—part of the government’s ‘India Battery Storage Vision 2047’—is being worked out by the ministries of power and heavy industries, and is expected to be rolled out by fiscal year 2028 (FY28) under the administrative control of the power ministry, the people said on condition of anonymity.

The push comes as policymakers increasingly acknowledge that India cannot fully leverage its rapidly expanding renewable-energy capacity without large-scale storage infrastructure.

Unlike battery energy storage systems (Bess), which typically store electricity for one to four hours, LDES technologies can supply power for eight hours or more. These include pumped hydro storage, flow batteries, compressed air energy storage (CAES), and sensible heat storage.

A viability gap funding (VGF) mechanism for LDES is currently being worked out, one of the officials said, adding that the government could also consider interest subvention support to improve liquidity access and accelerate adoption.

“Heavy reliance on short-duration storage could reduce energy security, increase system costs, and limit the feasibility of achieving 100% green power penetration,” another official said, adding that long-duration storage is critical for optimal integration of renewable energy, “thereby achieving energy transition in the true sense”.

The first official added that the high cost of storage and lower technological maturity compared with lithium-ion battery systems have so far delayed large-scale deployment of LDES technologies.

“There has been consideration for support to these new-age technologies for a long time now, but commercial viability has been a concern,” the first person said. “Now, it is high time to work to accelerate LDES adoption. This includes creating a technology-agnostic definition for LDES, incorporating storage targets into the National Electricity Plan (NEP) and Energy Storage Obligation (ESO) framework, and developing a national deployment roadmap”.

Pilot projects are also being planned to test LDES technologies across different grid conditions and establish commercial use cases.

The policy push comes amid an aggressive renewable-energy expansion drive. India has added 178.88 gigawatts (GW) of renewable-energy capacity over the past five years, taking clean energy’s share in the. However, India’s storage infrastructure has failed to keep pace with the rapid expansion of renewable generation capacity. India would have required about 47GWh of battery storage capacity by FY27 to support renewable integration, but only 795 megawatt hours (MWh)—with interstate transmission system (ISTS) charge waivers for pumped storage and renewable-linked battery storage projects until June 2028.

Queries emailed to the Union ministries of power and heavy industries remained unanswered till press time.

India’s push mirrors a broader global shift toward LDES solutions as countries look to balance renewable-energy capacity with grid stability. According to an April 2026 whitepaper by policy advocacy group Long Duration Energy Storage Council, the governments of UK, Germany, California and New York in the US, and New South Wales in Australia are in various stages of work to accelerate LDES adoption.


POWER PLAY: BATTERY VISION

  • LDES technologies can supply power for eight hours or more.
  • These include flow batteries, pumped hydro storage, and CAES.
  • A VGF mechanism for LDES is currently being worked out.

The article titled “Intel-Apple: Why AI chips are a big deal” from the Plain Facts section of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


INTEL-APPLE: WHY AI CHIPS ARE A BIG DEAL

BY HOWINDIALIVES.COM

Intel has reportedly signed a preliminary deal with Apple to make some chips for its devices. While the details are not yet clear, this reflects the semiconductor industry’s evolving landscape, driven by commercial and geopolitical interests. The deal is expected to benefit both companies. The partnership offers a validation to Intel’s foundry business, a key pillar of its turnaround strategy. It also helps Apple diversify its supply chain, which has been increasingly strained by demand from AI chipmakers such as Nvidia. The agreement, in which the US government reportedly played a significant role, also highlights how deeply geopolitics is becoming intertwined with the global chip business.

THE AI SQUEEZE

Demand for AI chips is expected to rise in coming years. Hyperscaler-driven AI infrastructure spending has surged since 2023. Combined capital expenditure reached hundreds of billions in 2025 and is projected to climb further in 2026. Nvidia rules the AI accelerator market with over 80% share, its data centre growth enabling it to overtake Apple as TSMC’s largest customer in 2025.

At TSMC, Apple’s revenue share declined to around 17%, while Nvidia’s rose to 19% for 2025. Capex on chips and servers is projected to cross $483 billion by 2028, from an estimated $280 billion in 2025, per Morgan Stanley Research. For Apple, which secured a large part of TSMC’s newest production capacity for its M-series chip, this competition creates pressure. The firm has accelerated diversification, including a preliminary manufacturing pact with Intel and discussions with Samsung, to cut reliance on TSMC amid capacity shortages.

CAPACITY CRUNCH

For Apple, the logic is different. It remains deeply dependent on TSMC for manufacturing nearly all of its custom-designed chips. It also had leverage on the company. Every time TSMC developed a new, more advanced chip-making process, Apple was the first major customer, sometimes buying up nearly all of the initial production.

In the past few years, demand for TSMC’s capacity has grown among AI chipmakers such as Nvidia and AMD. AI chips also occupy far more physical space on silicon wafers and generate higher profit margins than traditional consumer electronics chips. Apple, despite selling millions of devices each year, is losing its historical leverage over TSMC’s advanced manufacturing capacity, and has started facing shortages. In January, Apple CEO Tim Cook said advanced chips shortage affected some products. Apple is in supply chase mode to meet customer demand and is “currently constrained” by advanced node availability.

FOUNDRY VALIDATION

Intel’s deal with Apple could help the US chipmaker regain its standing in the sector. For many years, Intel was an industry leader. By mid-to-late 2010s, it lagged Taiwan Semiconductor Manufacturing Company (TSMC) whose factories now produce some of the world’s most advanced chips for companies. Intel outsources some production to TSMC.

Under former chief executive Pat Gelsinger, Intel unveiled its IDM (Integrated Device Manufacturing) 2.0 strategy, set up new fabrication plants and launched Intel Foundry Services to compete with TSMC. The turnaround effort, now led by chief executive Lip-Bu Tan, has been costly and uneven. Its foundry business has faced delays and financial losses. Securing Apple as a customer could rebuild Intel’s credibility as a chip manufacturer and pave the way for more customers. Investors have been positive on Intel in recent months, with its stock price doubling since April. The deal reports on 8 May led to a further rise.

A FULL CIRCLE

The deal also represents a key phase in Intel’s long ties with Apple. During the 1980s and 1990s, Intel was on the opposing side of Apple. It anchored the Wintel ecosystem (with Microsoft Windows as the operating system and Intel supplying the key hardware). Apple positioned itself as an alternative, relying on the PowerPC chip developed with IBM and Motorola. That changed in 2005, when Steve Jobs announced Apple had shifted Macs to Intel processors.

In the mobile era, Intel missed the smartphone wave while Apple built in-house chip design expertise using ARM-based architectures. By 2020, Apple had designed its own processors for Macs and relied on TSMC to manufacture them. Intel’s revenues have been shrinking since 2021 as the company missed out on AI-boom opportunities. The current deal marks a fresh beginning for Intel. While it will not be supplying its own chips for Apple devices, it will manufacture Apple-designed chips.

SILICON SOVEREIGNTY

Geopolitics is also a major driver. Reducing dependence on TSMC also means managing Taiwan-related risks amid tensions between the US and China. The deal with Intel promises Apple greater flexibility during uncertainty. The deal also highlights how deeply governments are shaping the semiconductor industry.

According to reports, federal officials encouraged the tie-up, leveraging influence they gained after the US took a 10% stake in Intel last year. For decades, the US led the world in technology, with firms dominating the semiconductor market, but making them mostly in Asia. Now, it wants more advanced chip production back into the country. Intel remains central to that ambition. Manufacturing advanced chips is difficult and expensive. The larger question is whether Intel can turn renewed attention into a sustainable manufacturing comeback.


The article titled “The oil shock is causing a $45 billion rupture in the economy” from the Global section (page 8) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


The oil shock is causing a $45 billion rupture in the economy

Surging prices at the pump are eating an outsize share of low- and middle-income consumers’ salaries.

By David Uberti

The largest oil disruption in history is widening a divide in the economy. Americans have cumulatively spent about $45 billion more on gasoline and diesel during the war with Iran than they did during the same period a year ago, according to an analysis of OPIS pricing data and federal demand figures. The surging costs are eating an outsize share of low- and middle-income consumers’ paychecks, darkening their outlook relative to the well-off.

At the same time, investors in oil-and-gas companies are watching their portfolios swell. Big energy returns bolstered a blockbuster corporate-earnings season and added momentum to the artificial-intelligence-led rally that has pushed the stock market to records. While higher inflation and borrowing costs have added stress on less-affluent Americans, many economists believe high earners will continue powering the U.S. ahead.

President Trump campaigned on cutting Americans’ energy costs in half. Now, as higher prices contribute to sagging poll numbers and some of the lowest consumer-sentiment readings on record, he has argued that the oil shock is benefiting the energy-rich U.S. in the form of record exports.

“The question is, of course, who is the U.S.?” said Isabella Weber, an economics professor at the University of Massachusetts, Amherst. “If we look at the different income groups in the United States, it’s really the richest of the rich who benefit”. Tax refunds have helped many Americans weather the early stages of the shock. “But the flow of refunds will taper dramatically in May, leaving consumers far more exposed to the surge in fuel costs,” Oliver Allen, senior U.S. economist at Pantheon Macroeconomics, told clients Thursday.

In March alone, U.S. airlines spent almost $1.3 billion more on jet fuel than they did a year earlier, according to the Transportation Department. If gasoline prices stay near their current levels through 2026, JPMorgan estimates Americans will shell out $172 billion more than they did last year. That figure doesn’t include additional diesel costs.

The resulting hit to wallets is already exacerbating a split between groups. While year-over-year spending by middle- and higher-income Americans on airlines, lodging and other tourism has grown, according to the Bank of America Institute, lower-income households are pulling back. Fast-food chain Wingstop, pawnshop operator Ezcorp and other companies that often cater to those customers similarly cited the pain of high pump prices during recent earnings calls.

Gas stations themselves are also feeling the impact. As prices surged in March, households earning less than $125,000 a year cut how much they collectively fueled up, according to Federal Reserve Bank of New York research. Higher-income motorists’ consumption barely budged that month, a departure from how they pulled back during the 2022 shock, said Maxim Pinkovskiy, an economic research adviser at the New York Fed.

One thing that is different in the current situation is that research on the fallout from Russia’s war on Ukraine found roughly 50% of the huge profits from U.S. energy firms in 2022 flowed to the wealthiest 1% of Americans. This year, a 32% gain in the S&P 500 energy sector is shielding shareholders from some of inflation’s bite. Oil-and-gas companies’ collective earnings climbed in the first quarter to their highest levels in years, according to analytics firm Geologic’s Evaluate Energy data. With few signs of new drilling in the American oil patch, a continued closure of the Strait of Hormuz signals even bigger profits and dividends in the months ahead.

The current price run-up is pumping tax revenues into communities stretching from Alaska to North Dakota to the small towns speckling West Texas and New Mexico. But a tepid response from American energy producers, as well as technological advances in drilling, suggest the go-go days of the shale boom creating armies of high-paying jobs are over. The number of oil-drilling rigs nationwide dropped 11% over the past year, according to Baker Hughes.

Free-cash flow across Exxon Mobil, Chevron, BP, Shell and TotalEnergies in the first quarter ballooned 84% from fourth-quarter levels, to $36 billion, according to Geologic’s Evaluate Energy data. The firm’s analysis of 37 smaller U.S. oil-and-gas producers found a 53% collective climb during the period, to $17 billion.

That hasn’t translated to booming dividends or share buybacks just yet. The start of the wartime price run-up “was so late in the quarter,” said Mark Young, senior analyst at Geologic. “If you extrapolate that out [into the second quarter], cash flow must be coming in pretty quickly for them”.

U.S. crude prices have averaged almost $99 a barrel since April 1, up 59% from the year-earlier period, and there are few signs energy shipments are beginning to move in earnest through the Persian Gulf. The ripple effect through the globe-spanning supply chain is also boosting shares of U.S. pipeline operators that ferry oil to refineries, fuel makers that turn crude into products and tanker operators that carry petroleum around the world.


The article titled “Why Bollywood stars are buying rights to their old hit movies” from the Corporate section (page 5) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Why Bollywood stars are buying rights to their old hit movies

By Lata Jha NEW DELHI

Actors long associated with iconic film roles are increasingly acquiring rights to older hits, betting that nostalgia-driven intellectual property can generate fresh value through remakes, sequels, streaming, licensing and franchise extensions in an overcrowded content market.

Recently, actor Sanjay Dutt acquired the rights to his 1993 hit Khal Nayak that he plans to reimagine along with Jio Studios and Aksha Kamboj’s Aspect Entertainment. In the past, stars like Shah Rukh Khan too have bought rights to older hits from original producers, reflecting a broader shift in how value is captured in the content economy. Khan has bought rights to older hits such as Kabhi Haan Kabhi Naa and One 2 Ka 4 from original producers.

For producers, selling rights can provide immediate liquidity, reduce risk and monetize legacy content that may otherwise remain underexploited. For actors with enduring brand equity, ownership offers long-term upside tied to audience recall and personal association, especially as an overcrowded market has made monetization harder for most titles, increasing the premium on films with lasting cultural resonance.

“The original producer has typically recouped their investment through box office, satellite deals, and music licensing long before an actor comes knocking. What remains is residual value, which for an older film is modest at best. The producer is essentially sitting on a depreciating asset,” said Avadhi Joshi, founding partner, Minara Legal. In such deals, the producer monetizes a windfall they couldn't have generated alone, and the actor acquires an asset whose value they themselves can grow, Joshi added.

Film producer Anand Pandit said nostalgic IP remains a premium asset, whether repurposed as a remake or extended into a sequel. “On YouTube alone, classic songs and films have millions of views. When blockbusters from the past are screened, sometimes they do better business than the latest [releases],” he said.


The article titled “Balancing creativity and practicality” from the Monday Motivation section (page 14) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Balancing creativity and practicality

Neha Gupta, the co-founder of Beyond Designs, on the art of listening

By Shail Desai

Art has always been Neha Gupta’s quiet escape. She would spend hours sketching and painting, exploring her creativity as a little girl. Over time, she gained interest in a deeper understanding of spaces and buildings. “Architecture felt like art that people could actually live in and interiors were what made those spaces warm, inviting and personal,” says New Delhi-based Gupta, co-founder, principal designer and restaurateur at Beyond Designs.

As a student of architecture and design, she first realised that functionality was as crucial as aesthetics. It defined her approach at the luxury interior design studio that she runs alongside her husband, Sachin.

“The smallest details can make the biggest difference. That balance between creativity and practicality continues to guide my work even today,” she says.

Beyond the studio, Gupta has extended her design sensibilities to experiential dining and has launched six establishments so far.

Gupta talks to Mint about mentorship and what she’s learned through motherhood.

Who do you consider your mentor? I deeply value mentors who encourage growth and honest feedback. I have learned from seniors in the industry, from collaborative experiences and from life itself. Every phase teaches you something new if you are open to learning.

One major insight you worked on with your mentor’s guidance? One key lesson was that good design begins with listening. Keeping your ego aside allows you to truly understand the client and evolve creatively. Growth happens when you remain open to feedback.

What are some productivity principles you follow? I prioritise what truly matters each day and avoid unnecessary complications. Delegation and clarity are very important to me. Consistency and organisation are the foundations of productivity.

How do you unwind? Do you pursue any serious hobbies? I unwind by listening to Bollywood music and watching movies—they instantly lift my mood. Spending time with friends and family helps me recharge. I absolutely love dancing, it’s my favourite stressbuster. And of course, a little shopping now and then always adds joy!

How have you managed your work commitments alongside the family? Motherhood has taught me efficiency and presence. I focus on being fully present wherever I am—whether at work or with my family. A strong support system and clear priorities make all the difference. It’s about balance, not perfection.


Monday Motivation is a series in which business leaders discuss their mentors and their work ethics.


The article titled “Like it or not, AI is likely to transform capitalism” from the Views section (page 12) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Like it or not, AI is likely to transform capitalism

This is not just another tech revolution. AI could alter how output is generated, resources are allocated and the ratio of what capital and labour earn. Let’s not get blindsided by it

OUR VIEW

Two centuries and a half ago, Adam Smith used the example of a pin factory in The Wealth of Nations to explain how capitalism uses division of labour to boost productivity by splitting production into specialized tasks done by workers paid to work in close coordination for efficiency. But what happens to this model if AI agents run factories and companies?

Andon Labs, a US-based startup, runs a cafe where tasks like inventory control, hiring, scheduling and operations are supervised by Mona, an AI agent powered by Google Gemini, even as human baristas brew and serve coffee. Anthropic’s Claude Sonnet 3.7, OpenClaw artifacts and other tools have also shown an ability to run businesses. How long before complex firms turn CEO roles over to artificial intelligence (AI)? Could AI-run startups emerge? And if Agentic AI systems designed to optimize resources find human behaviour hard to grasp, would they opt for fellow machines that do not tire, let alone unionize, seek meaning in their jobs and demand a work-life balance? Clearly, capitalism is headed for uncharted territory.

It is not just pricing, procurement, logistics, hiring and advertising that AI could take over, but capital allocation too. Zoom out, and that logic can apply to how capital markets allot funds. Algorithmic trading has been around for years. Despite differing systems at play, they often act in sync—as we saw in the US ‘flash crash’ of 2010. Rival algorithms can respond in unison to the same signals. That is also why ride-hailing services are found to mirror each other. Markets, however, are supposed to thrive on diverse views; humans disagree, speculate, make irrational bets, invest on emotional cues and succumb to fear or greed.

Consumers behave all too human too. So, are we staring at a future of people being force-fit into a framework of digital templates? At this juncture, all we can count on is hyper-efficiency. With business operations stripped of slack by AI, optimists expect output per worker to soar. While new jobs will surely be generated, it could spell a scenario in which capital dominates labour so thoroughly as a factor of production that the state will need to intervene in the latter’s favour.

This is less of an anxiety in India than in the tech-suffused West, where fears have arisen of an industrial compact being broken. Since the time of Henry Ford’s assembly line that gave productivity a leap, capitalism has sought to create demand by paying people enough to buy all that it churns out. Should AI enrich business shareholders and push salaried folks out of jobs, many reckon, overall demand would have to be sustained by a redistributive policy that taxes capital heavily to fund a universal basic income. So far, regulatory talk has focused on AI safety, given how agentic systems left to their own devices could blunder or go rogue. Soon, social safety nets may need policy-level attention.

The jury is out on how well an AI-optimized free market will serve society, which, let’s be clear, is why capitalism exists in the first place. Efficiency is a worthy aim, but its gains are finite, and while AI can be ‘inventive,’ it’s doubtful if it can create value from true originality. It takes intuition, curiosity, obsession and more; think of the out-of-the-box ideas of Steve Jobs at Apple. It takes leaps of thought that are not yet documented; think of Archimedes, who said he could move the world with a lever that’s long enough and a place to stand. In short, it takes imagination, without which capitalism would be too dreary to uplift human lives.


The article titled “Why some people put on poverty as though it’s make-up” from the Modern Times section of the Views page (page 12) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Why some people put on poverty as though it’s make-up

By Manu Joseph

In his first speech as chief minister of Tamil Nadu, Joseph Vijay said in Tamil, “I have known poverty; I’ve known hunger. I am not from some royalty.” This whole country seems to be filled with self-made men. Except that most of them may not be at all.

I happened to be Vijay’s classmate when we were around eight years old. Oddly, the reason why I remember him at all and could later recognize him as the same guy on film posters, is that he was the first rich boy I knew, at least rich by the standards of the Kodambakkam suburb of Chennai. Years later, when he was eighteen, he was cast in the lead role of a film that his father made. Some of the biggest yarns of our times are tales of rags-to-riches. Often, they are exaggerations of some hard gives them some extraordinary advantages.

The imagined poverty of public figures has created a disease in society. It’s called inspirational stories. In such a story, a man who claims to have “known hunger” or “slept in a railways station” hints that he made it through stellar human qualities. This cements the notion in every generation that there is a path to escape an impoverished life, and if you have not managed to, maybe there is something wrong with you. And most poor people probably feel there is indeed something wrong with them, their minds, their character or perhaps in their stars.

The rejection of luck’s outsized role in the lives of the upper class is one of the weirdest aspects of human nature. Recently, when thousands of househelps from West Bengal across Indian metros vanished to vote in their state elections, Gurugram was particularly hard hit. On a WhatsApp chat group in my colony, affluent people cursed maids for sloth and unprofessionalism. One of them said, “(we) These are very different things. Poverty is not a temporary misfortune of the fortunate. Poverty is not only the absence of money, but also immersion in a whole environment that is cut off from money. It is the amnesia of money, where there is no recollection or evidence at all among those who suffer it that their kind once had money. To be poor is to be stuck in time, to live in a different era from luckier people. Poverty is always in relation to the rest of society.

Yet, not only in India but across the world, people are quick to claim poverty. They put on “poverty like you put on makeup,” as Lennard Davis, a professor at the University of Illinois, once said of US vice-president J.D. Vance, whose claims of growing up poor appear to be exaggerated. No one wants to be poor but everyone wants a poor past, especially public figures for it shows them as gritty people who came up the hard way. It is an oddly attractive quality in a person to a crowd, even though it is unattractive at a personal level. Its point this out, Indians I know in America respond with rage. This makes me wonder how they ever cleared the analytical reasoning and reading comprehension sections of those objective-type tests. Or maybe they are truly naive about how poor their country of origin actually is.

This seems to be a problem that afflicts even Google CEO Sundar Pichai. Once, as though in response to claims such as mine, he said, “My father spent... a year’s salary on my plane ticket to the US so I could attend Stanford.” Considering the Indian per capita income in the early 90s and the price of a ticket to the US, the fact that his father’s annual salary was as much as the airfare points to the probability that his household was in India’s top 5% they made it against severe odds. Most people who have triumphed are ‘nepo-babies’ with some ‘my-dad-had-bad-days’ stories. And there appear to be numerous old men who “came to Bombay with ten-rupees in my pocket.” Yet, somehow, just months later they are in rooms full of influential people.

Many Indian immigrants in America are belligerent about the notion that they had made it the ‘hard way.’ Yet, their ability to reach America is in fact evidence not of their brilliance, but that they hail from luckier Indian households. In the 80s only the upper middle class and the rich could make it to the rarefied places that eventually gave one a shot at America. There might be exceptions but exceptions say nothing. Those who claim hardscrabble pasts probably confuse being broke with being poor. They’re not the same.


Manu Joseph is a journalist, novelist and screenwriter. His latest book is ‘Why the Poor Don’t Kill Us.’


The article titled “Talking of a ‘people’s dividend’ can hurt Korea’s stock market” from the Views section (page 13) of the May 18, 2026, edition of Mint Bengaluru is reproduced below:


Talking of a ‘people’s dividend’ can hurt Korea’s stock market

Socialist rhetoric or policies could get in the way of an AI windfall

By Shuli Ren

South Korea has the world’s best-performing stock market this year. It has now been thrust to the forefront of a global discussion over whether artificial intelligence (AI) widens wealth inequality—and how governments can ensure that society at large benefits from this revolutionary technology.

In a Facebook post on Monday, Kim Yong-beom, a veteran economist and chief of policy for President Lee Jae Myung, floated the idea of a “people’s dividend”. His goal is to encourage the idea that profits made by the few winners are shared with those who lack AI-related skills or access to capital.

This is reminiscent of President Xi Jinping’s “common prosperity” drive in 2021, a socialist push to broaden China’s middle class. Dividing up the AI corporate windfall aside, Seoul has also focused on Korea’s elevated apartment prices. It has followed Xi’s line of “housing is to be lived in, not speculated on,” reinstating a heavy capital gains tax on multiple-home owners.

While this may be political posturing ahead of local elections in June, investors are not taking any risks. The benchmark Kospi index tumbled as much as 5.1% on Tuesday after Kim’s post, before paring losses. The influential policy advisor has since clarified that he would like to see tapped “excess tax revenue” generated from the AI boom, rather than the rollout of a new windfall levy on corporate profits.

In the eye of the storm are the two semiconductor giants, Samsung and Hynix, which sell memory chips to AI data centres. As we move to the agentic world, allowing the likes of OpenClaw to book travel and reply to e-mails, these models need a lot of memory chips to recall our preferences and past transactions. As a result, the two chipmakers are generating the kind of profits that Korea Inc has never seen before.

Samsung and Hynix are expected to be among the world’s five most profitable companies this year, earning as much as Alphabet and Microsoft. Considering free cash flow, they are doing even better, because the US hyperscalers have to spend big on infrastructure—including buying memory chips. In April, Korea’s chip exports jumped 174% year-on-year and total exports to the US rose by 54%.

While the government’s intentions are good, isn’t it a bit early to talk about sharing the corporate windfall? The president has been making a concerted effort to narrow the notorious Korea discount, and offered capital-gains-tax exemptions to retail investors that sell their overseas holdings and invest domestically.

At around 7,850, the benchmark index has gone well above Lee’s “Kospi 5,000” slogan. But Korea’s stock market is by no means out of the woods yet. Samsung and Hynix are only the world’s 11th and 15th largest companies by market value, respectively, despite their outsized profit outlook and the pervasive narrative of a semiconductor supercycle. The Kospi is valued at 8.3 times 12-month forward earnings, below its 10-year historical average. In other words, the index’s sharp rise this year is due entirely to upward earnings revisions, not an expansion of valuation multiples.

Politicians injecting a socialist tone is not conducive to fostering a healthy stock market, which after all is a celebration of corporate profits and capitalism. China learnt this the hard way, having witnessed a years-long bear run shortly after Xi’s common prosperity push. Beijing has practically abandoned this slogan.

Korea’s stock market is at an interesting inflection point. This month, Interactive Brokers said it would give US retail investors direct access to the nation’s equities, making it the first major US-based broker to offer such a service. The government would do well to take a market-friendly tone.

There’s also the argument that profits won’t just stay with the two chipmakers’ shareholders. There will be economic trickle-downs. For instance, Samsung and Hynix can’t make their chips without tools. As AI craves more memory capacity and factory expansion, equipment vendors such as Wonik IPS and Eugene Technology can expect bigger orders, as can chemicals makers like Hansol. These smaller, under-the-radar firms are likely the ones that the government is keen to foster.

Or how about those working along the AI supply chain? Hynix has agreed to allocate 10% of annual operating profit to a performance bonus pool, resulting in an average payout of about 1.5 times annual salary last year. Samsung has been haggling with its labour union over compensation. But one thing is clear, companies need to cough up to retain engineering talent.

The Lee administration should be patient and let Korean chipmakers flourish. Socialist rhetoric can only be a road to common poverty.


Shuli Ren is a Bloomberg Opinion columnist covering Asian markets.

The Elusive Quest to End Congo’s War

 Not all Donald Trump’s peacemaking boasts are empty But to end Congo’s terrible war, America must remain neutral

When Donald Trump boasts about all the wars he has supposedly ended, he often mentions one in central Africa. In December he brought together the leaders of Rwanda and the Democratic Republic of Congo, whose on-again, off-again conflict has been one of the continent’s bloodiest, and persuaded them to sign a peace deal called the Washington Accords. “They’ve spent a lot of time killing each other and they’re going to spend a lot of time hugging,” he said.

But there is still a lot more killing than hugging. Most of the 8m or so Congolese who have fled from their homes are too scared to return. Over the past year the battlefield has expanded in the eastern Congolese provinces of South and North Kivu, leading to hundreds more civilian deaths. As we report, m23, a Rwandan-backed rebel group that controls most of the region, is building a statelet there and is eager to cut its own deals with America.

To its credit, the Trump administration has tried to enforce the Washington Accords. In March it put sanctions on Rwanda’s armed forces to try to persuade Paul Kagame, Rwanda’s president, to reduce support for m23. Yet it seems unwilling to exert similar pressure on his Congolese counterpart, Félix Tshisekedi. Many locals fear that Mr Trump cares more about getting his hands on Congo’s abundant minerals than he does about peace.

Eastern Congo is as bewildering as it is blighted. The state’s authority barely exists. More than a hundred armed groups thrive in its absence. m23 is the strongest of them. It is led by Congolese Tutsis who say they want to topple the government in Kinshasa, Congo’s capital 1,500km away. It is also a tool used by Rwanda to create a buffer zone in Congo. Rwanda denies this, but also claims that any “defensive measures” it undertakes are justified because it is threatened by Congo—and by a militia known as fdlr whose origins go back to the ethnic Hutus who carried out the Rwandan genocide in 1994. The region’s minerals give everyone a lucrative extra reason to fight.

So it is too soon to celebrate the Washington Accords. But they are a good foundation to build on. They reaffirm previous commitments by Rwanda to stop supporting m23 and to respect Congo’s territory, and by Congo to end any support for fdlr and other armed groups that threaten Rwanda. Both sides have said they will make it easier for aid agencies to deliver humanitarian supplies in eastern Congo, which are desperately needed.

American sanctions on the Rwanda Defence Force (rdf) will influence Mr Kagame, who was once seen by Western governments as an enlightened autocrat with whom it was easy to do business. Having the rdf subject to similar restrictions as the armed forces of Iran and North Korea is not good for “Brand Rwanda”. And since Rwanda’s Ministry of Defence has huge interests in construction, agriculture and other sectors, the sanctions will also force foreign investors to rethink whether it is legally safe to do business in the country.

Pressing Rwanda is necessary to stop the war. But it is not sufficient, since m23 has a degree of autonomy. Talks between Congo and m23, brokered by Qatar with American support, have stalled. All parties to the discussions, including African governments, need to do more to persuade the sides to return to the table and agree on a ceasefire.

There is a risk that America is emboldening Mr Tshisekedi. When Mr Trump brokered the Washington Accords he also struck a “strategic partnership” with Congo. The upshot was that America would bolster Congo’s president in exchange for preferential access to minerals. America has intervened in Congolese politics in ways that benefit Mr Tshisekedi; last month it put sanctions on Joseph Kabila, a rival and former president, ostensibly for backing m23.

To some in the Trump administration, backing Mr Tshisekedi is sensible realpolitik. But, like miners digging without a plan, they risk the edifice crashing down on them eventually. America’s new deals with Congo are shockingly non-transparent—a criticism America once made of Congo’s dealings with China. Mr Tshisekedi became president with America’s endorsement in 2019 after a fraudulent election. So long as he cuts mining deals with Americans, he may think he can shirk his obligations under the accords.

America should disabuse him of that idea. The Trump administration has done more than any other foreign government to try to bring a measure of peace to this war-scorched part of Africa. It is right to be tough on Rwanda, whose support for m23 is the proximate cause of the conflict. But America now needs to ensure that it acts as an impartial mediator, rather than as a cheerleader for one side.

The Credit Consequences of Banking Consolidation

 The primary research question addressed by the sources is whether banking consolidation harms households, specifically within the mortgage market,,. Over the last few decades, the number of active banks has dropped by nearly 70%, while asset concentration has risen significantly, leading to regulatory concerns that such consolidation might erode competition and harm consumers,. However, the sources conclude that bank mergers do not systematically harm household borrowers,.

The following sections detail the findings within the broader context of banking consolidation and its impact on household credit:

Impact on Borrowing Costs and Mortgage Rates

The sources find no evidence of persistent, post-merger increases in mortgage rates. While a simple pre-post comparison might suggest rates rise after a merger, the study identifies this as a "mechanical composition effect" rather than a strategic exercise of market power,.

  • Mechanical Averaging: If a large bank offering low rates acquires a community bank that charged higher rates, the combined entity’s average rate will mechanically rise even if the bank's underlying pricing strategy remains unchanged,.
  • Pricing Stability: When examining rate distributions and using a difference-in-differences (DiD) design, the researchers found that acquiring banks generally maintain their pre-merger pricing strategies,.

Credit Access and Loan Performance

The research indicates that mergers do not lead to tighter credit conditions for households in terms of access or quality.

  • Approval Rates: There are no statistically significant changes in mortgage approval rates following bank mergers once compositional factors and local economic conditions are taken into account.
  • Delinquency Rates: Post-merger loan performance remains stable, with no evidence that mergers alter risk-taking behavior or underwriting quality in a way that leads to higher delinquency.

The Competitive Landscape of Local Markets

A key reason households are not harmed is that local mortgage markets remain remarkably competitive despite national-level consolidation,,.

  • Lender Density: The typical U.S. county hosts over 130 active lenders in any given quarter.
  • Market Concentration: Most local markets are "unconcentrated" by regulatory standards, with the median lender holding just 0.4% of the market,.
  • Dynamic Competition: Surprisingly, competition often intensifies around mergers; in "Large-Community" mergers, the count of active lenders in affected counties typically rises while market concentration (HHI) declines,. Non-bank mortgage companies also provide substantial competitive discipline.

Strategic Motives and Merger Selection

The sources reveal that merger types are driven by different strategic goals, which often relate to efficiency rather than market power,.

  • Community–Community Mergers: These often involve "weaker and less efficient" target banks merging to gain scale and compete,.
  • Large–Community Mergers: Large banks tend to target "profitable, relationship-intensive" community banks to gain access to established customer bases while providing the scale needed for securitization and funding,.

Overall, the study challenges the prevailing view that banking consolidation inevitably leads to market power that harms the welfare of household borrowers,.


The key findings of the provided source indicate that banking consolidation does not systematically harm household borrowers within the mortgage market,,. Despite a 70% reduction in the number of active banks since 1985 and a massive increase in national asset concentration, the researchers find no evidence that these mergers lead to the exercise of market power at the expense of consumers,,.

The following are the specific key findings within the context of banking consolidation and household credit:

1. Stability of Mortgage Rates and "Mechanical" Effects

The sources demonstrate that mortgage rates do not increase following bank mergers once compositional factors are controlled for,.

  • The Composition Illusion: Simple pre-post merger comparisons may show a rise in average rates, but this is identified as a "mechanical composition effect" rather than a strategic price hike,. For instance, if a large bank offering low rates acquires a community bank that previously charged higher rates, the combined entity’s average rate will mechanically appear higher even if the bank's underlying pricing strategy remains unchanged,.
  • Pricing Strategy: Using a difference-in-differences (DiD) design, the study finds that acquiring banks generally maintain their pre-merger pricing distributions,,.

2. Continued Access to Credit and Loan Performance

The research finds that mergers do not lead to tighter credit standards or worse outcomes for borrowers:

  • Approval Rates: There are no significant changes in mortgage approval rates after mergers,. Any observed fluctuations are generally attributed to time-varying local economic conditions rather than merger-induced policy changes,.
  • Delinquency Rates: Post-merger loan performance remains stable,. There is no evidence of systematic shifts in risk-taking behavior or underwriting quality that would result in higher delinquency or foreclosure rates,.

3. The Competitive Reality of Local Markets

A major finding is that local mortgage markets remain highly competitive despite national consolidation,.

  • Lender Density: The typical U.S. county is served by over 130 active lenders in any given quarter,,.
  • Market Fragmentation: Market shares are highly fragmented, with the median lender holding only 0.4% of the local market,.
  • Decline in Concentration: Surprisingly, in many cases, competition actually intensifies around mergers. For large-bank acquisitions of community banks, the number of active lenders in the affected counties typically rises, while the Herfindahl-Hirschman Index (HHI)—a standard measure of concentration—actually declines,.

4. Efficiency-Driven Strategic Motives

The sources suggest that mergers are driven by efficiency considerations rather than motives to gain market power,.

  • Community–Community Mergers: These often involve "weaker and less efficient" target banks merging to gain the scale necessary to compete in an evolving landscape,,.
  • Large–Community Mergers: Large banks tend to target highly profitable, relationship-intensive community lenders,. This allows the large bank to access established customer bases while providing the operational scale needed for securitization and funding,.

In conclusion, the source challenges the prevailing regulatory concern that bank mergers erode competition, finding instead that the presence of numerous competitors—including non-bank lenders—disciplines bank pricing and maintains borrower welfare,,.


The sources argue that while national banking consolidation has been significant, local mortgage markets remain remarkably competitive, which serves as a primary reason why consolidation does not systematically harm household borrowers,,. The research suggests that the competitive reality at the local level is often overlooked in broader discussions about national asset concentration,.

The following key aspects of local market structure are highlighted in the sources:

High Lender Density and Fragmented Market Shares

Contrary to the perception that a few dominant lenders control local access to credit, the typical U.S. county is characterized by a high number of active mortgage providers.

  • Lender Counts: The typical county hosts over 130 active lenders (median 132) in any given quarter,,. Even in rural counties, which are the least competitive, there are typically dozens of active lenders.
  • Market Share Fragmentation: Market shares are extremely fragmented; the median lender captures just 0.4% of its local market,. Even at the 90th percentile, individual lenders control only about 3.6% of their county markets.
  • Concentration Metrics: Local markets are generally "unconcentrated" by regulatory standards. The median Herfindahl-Hirschman Index (HHI) is approximately 400, which is significantly below the 1,000 threshold the Department of Justice uses to classify a market as unconcentrated,.

Dynamic Competition and Entry Post-Merger

A surprising finding in the sources is that competition often intensifies following a merger, rather than eroding,.

  • Increasing Lender Counts: In "Large–Community" mergers, the number of active lenders in affected counties typically rises from approximately 150 to 185,.
  • Declining Concentration: Market concentration (HHI) often declines after a merger—for example, dropping from about 560 to 470–510 in Large–Community events,. This occurs because the entry of new competitors frequently dominates the "mechanical" consolidation effect of the merger.

The Role of Non-Bank Lenders

The sources emphasize that the competitive landscape includes a significant presence of non-bank mortgage companies, which provide substantial discipline on bank pricing,. Non-banks account for approximately 28% to 30% of the local market share,. These lenders ensure that even if traditional banks consolidate, borrowers still have numerous alternative sources for mortgage financing.

Geographic Variation

While there is substantial "spatial heterogeneity," the research notes that even the areas with the least competition still maintain a healthy number of providers.

  • Metropolitan Areas: These regions often have 150 to 200+ active lenders.
  • Rural Areas: While less densely populated with lenders, these areas still host 25 to 75 providers, ensuring that they are not monopolized by a single institution.

Conclusion on Household Welfare

Because the local market structure is so robust and fragmented, the sources conclude that individual bank mergers are unlikely to generate substantial market power. This intense competition acts as a "discipline" on pricing behavior, preventing merged institutions from raising mortgage rates or restricting credit access for households,.


Banking consolidation in the mortgage market is driven by distinct strategic motives that vary significantly based on the size of the institutions involved. The sources emphasize that these merger selection motives are rooted in efficiency and survival rather than a pursuit of market power intended to harm household borrowers.

The research categorizes these motives into two primary patterns:

1. Community–Community Mergers: Scale and Survival

Mergers between two community banks are the most common, representing 55% of all cases studied.

  • Target Profile: Target banks in these mergers are characterized as "weak and operationally inefficient". They typically exhibit near-zero profitability, with an average return on assets (ROA) of just 0.001, and very high expense ratios, where non-interest expenses account for approximately 90% of their total income.
  • Motive: These institutions appear to merge primarily to gain scale and remain competitive in a landscape increasingly dominated by larger banks with superior technology and funding advantages. These mergers are a mechanism for survival rather than an attempt to consolidate market power.

2. Large–Community Mergers: Relationship Synergies

When large banks acquire community banks, the selection process is highly strategic and targets a fundamentally different type of institution.

  • Target Profile: Large banks target "profitable, relationship-intensive" community lenders. These targets are significantly more efficient and productive per employee than those in community–community mergers.
  • Motive: The primary goal is to access established customer bases and specialized relationship-banking models. Notably, these targets keep about 41% of their mortgages in their own portfolios—more than ten times the rate of community–community targets (4%). The large acquirer then provides the operational scale and infrastructure necessary for securitization and funding.

Implications for Household Borrowers

The sources argue that these selection patterns help explain why consolidation does not systematically harm households.

  • No Exercise of Market Power: Because mergers are driven by efficiency (targeting inefficient peers) or synergy (targeting specialized relationship lenders), they do not typically lead to strategic price hikes.
  • Portfolio Composition Effects: The researchers note that while post-merger mortgage rates might appear to rise in simple comparisons, this is often a "mechanical" result of a large bank acquiring a community bank that already charged higher rates due to its relationship-heavy business model.
  • Stable Welfare: After accounting for these selection motives and the competitive local market structure, the study finds that mortgage rates, approval rates, and delinquency rates remain stable following mergers.

Ultimately, the evidence suggests that bank mergers occur because institutions are seeking to rationalize costs or create operational synergies, and the intense competition from numerous other lenders ensures these strategic shifts do not result in higher costs or reduced credit access for household borrowers.


The researchers employ a highly granular, large-scale empirical approach to determine whether decades of national banking consolidation have resulted in the exercise of market power that harms household borrowers. The methodology is designed specifically to separate strategic bank behavior from compositional shifts that occur when two institutions merge.

The following sections detail the core components of the study's methodology:

1. Unique Integrated Dataset

The study constructs a comprehensive dataset by merging several confidential and public sources to track 44 million mortgages across nearly 5,000 merger events from 1994 to 2023.

  • HMDA Data: Provides the universe of mortgage applications and originations, including applicant demographics and loan outcomes.
  • McDash Analytics: Adds loan-level contract terms (interest rates, LTV) and dynamic performance records (delinquency, foreclosure) throughout the loan lifecycle.
  • Call Reports (TINY Database): Provides merger-adjusted financial ratios (ROA, expense ratios) for the involved banks.
  • Institutional Linking: Uses specialized files (Robert Avery’s linking file) to map individual bank charters to their parent holding companies, ensuring that mergers reflect genuine changes in ownership rather than internal restructuring.

2. Residualized Interest Rate Measure

To ensure that changes in mortgage rates are not simply due to differences in borrower risk or market conditions, the researchers calculate a residual interest rate ($r^*$).

  • Controls for Risk: They regress raw mortgage rates against comprehensive loan characteristics, including FICO scores, LTV ratios, loan amounts, and occupancy status.
  • Market Fixed Effects: They include county $\times$ year-quarter fixed effects to absorb all time-varying local market factors. This isolates the specific pricing variation attributable to the bank's strategy rather than the economic environment.

3. Stacked Panel Event Study (DiD)

The primary analytical framework is a stacked panel event study difference-in-differences (DiD) design.

  • Counterfactual Comparison: For each merger, the researchers compare the merging banks (acquirer and target) to control banks operating in the same local market during the same time period.
  • Event Window: They track these institutions over a 17-quarter window (eight quarters before the merger, the merger quarter, and eight quarters after).
  • Addressing Negative Weighting: The "stacked" nature of the design prevents technical issues common in staggered DiD studies where early-treated units might serve as controls for late-treated units, which can bias results.

4. Isolating the "Mechanical Composition Effect"

A key methodological innovation is the use of bank-county-merger fixed effects to solve the "mechanical averaging" problem.

  • The Problem: If a low-rate large bank acquires a high-rate community bank, the combined entity's average rate will appear higher post-merger even if neither bank changed its pricing strategy.
  • The Solution: By using fixed effects that absorb the pre-merger level of the "pro-forma" combined entity, the researchers can detect whether the merger caused a strategic shift in pricing behavior relative to that baseline.

5. Multi-Dimensional Welfare Indicators

The methodology evaluates household harm through three distinct lenses:

  • Pricing: Using the residualized mortgage rates to identify market power.
  • Credit Access: Examining approval rates to see if mergers lead to tighter underwriting standards.
  • Loan Quality: Analyzing delinquency rates (loans 90+ days overdue) to determine if mergers alter the risk-taking or performance profile of newly originated credit.

6. Local Market Structure Analysis

Finally, the researchers construct a county-quarter panel to measure local competition. They calculate the Herfindahl-Hirschman Index (HHI) and lender counts by aggregating the universe of loan originations from both bank and non-bank lenders. This allows them to verify if local markets actually become more concentrated following a merger, or if the entry of other competitors offsets the consolidation.