Famous quotes

"Happiness can be defined, in part at least, as the fruit of the desire and ability to sacrifice what we want now for what we want eventually" - Stephen Covey

Sunday, January 25, 2026

Uncertain Future for Korea’s Rescued Meat Dogs

 Based on the sources provided, here is a reproduction of the article "Fate of half million dogs unclear as dog meat ban nears" by Ko Dong-hwan, as published in The Korea Times on January 22, 2026.


Fate of half million dogs unclear as dog meat ban nears

Welfare remains loophole despite closing farms By Ko Dong-hwan

INCHEON — A declining number of dog meat farms in Korea, driven by government efforts to root out the centuries-old practice of dog meat consumption, has raised questions about what will happen to the dogs currently in the system between now and when the ban takes effect in February 2027.

The Ministry of Agriculture, Food and Rural Affairs has confirmed that at least 468,000 dogs are currently kept on farms in cages nationwide, or at some 5,900 related businesses, including slaughterhouses, distributors, and restaurants. Following the ban, there are few clear plans about how the dogs will be cared for, raising the possibility of some being left to fend for themselves in the wild. State-run canine shelters, often operated by local governments, are already at full capacity, according to Humane World for Animals Korea, a non-governmental organization dedicated to animal welfare. They say the country is far from prepared to provide a safe new life for the massive number of dogs expected to be freed.

“The meat farm owners, facing the government ban, are willing to give up their dogs and want to be done with them. At the same time, local governments cannot take in these animals due to a shortage of space at their shelters. Facilities nationwide are literally at full capacity right now,” said Lee Sang-kyung, a campaign team leader for Humane World for Animals Korea, speaking from the group’s Seoul office in Mapo District on Tuesday. The agency is a regional branch of an international organization headquartered in Washington.

According to Lee, the government is currently prioritizing the eradication of the dog meat industry and supporting business operators in transitioning to other ventures, while neglecting the welfare of the caged dogs. Lee said that eliminating the dog meat trade was a commendable achievement, but emphasized that equal attention must be given to ensuring the well-being of the dogs that remain in captivity.

“The ban’s ultimate goal is to safeguard the welfare of the dogs. But the government has not issued any guidelines to ensure this. They have simply notified meat farm owners to shut down their businesses by the deadline and told them to ‘process’ their dogs during the grace period before the ban. In practice, the farmers’ methods of ‘processing’ their dogs are apparently lethal, and their ways of killing are far from humane,” Lee said.

“The government and private animal advocacy groups must now begin discussing ways to care for the dogs once they are freed,” Lee said. He believes that rescuing caged dogs from farms that cease operations should occur simultaneously with the government’s dog meat eradication plan.

“The declining number of dog meat farms is certainly a notable key performance indicator (KPI) for the government. On the other hand, I have witnessed firsthand the lack of government welfare measures for the dogs. Public-private collaboration is urgently needed on this issue,” Lee said.

Lee and two other members of Humane World for Animals Korea were at Incheon International Airport Logistics Center on Tuesday to send 16 rescued dogs to a rehabilitation center in Vaudreuil-Dorion, Canada. The dogs, which included Stella, a three-year-old Jindo and husky mix, and her five puppies, traveled in the cargo hold of an Air Canada passenger flight to Toronto. From there, they will be transferred by truck to their final destination. After being checked for health conditions at the rehabilitation center, the dogs will be placed under the care of local agencies for the adoption process.

The dogs are part of a group of 68 dogs and puppies rescued from a farm in Cheongju, North Chungcheong Province, in February last year. The farm had been caught secretly supplying animals to the dog meat market and eventually relinquished ownership of the dogs to Humane World for Animals Korea. The rescued dogs were first sent to Washington, D.C., in May. Lee said he met with the farm owner weekly until May to discuss how his organization would care for the animals.

The agency is currently searching for another dog meat farm in Korea for a new rescue mission. “Now that all farms are required to submit their business closure plans to the government, I plan to work with the authorities to identify the locations of other farms with dogs that need rescuing,” Lee said.

Financial Stocks and Flow of funds of the Indian Economy

Financial Stocks and Flow of Funds of the Indian Economy 2023-24

by Suraj S, Ishu Thakur, and Mousumi Priyadarshini

Abstract: The financial resource balance of the domestic economy improved by narrowing the deficit to 0.9 per cent of GDP in 2023-24 from 2.3 per cent in 2022-23. The strengthening of financial balance sheets of households, general government and non-financial corporations has driven the net financial wealth of domestic sectors to 28.6 per cent of GDP in 2023-24 from 24.8 per cent in 2022-23. The financial assets of the domestic economy expanded by 13.9 per cent, while liabilities grew by 12.7 per cent during the year. The government’s fiscal consolidation, coupled with improved corporate profitability and deleveraging, supported healthier financial net positions and rise in financial wealth.

I. Introduction

The flow of funds (FoF) refers to a comprehensive financial accounting framework to understand the fund flows across various institutional sectors of the economy. It provides consistent and homogenous information for analysing financial transactions and outstanding positions of financial assets and liabilities. The FoF accounts have evolved globally as a critical tool for assessing financial interconnectedness and potential vulnerabilities consistent with macroeconomic developments.

Following the System of National Accounts (SNA) 2008 framework and India’s G20 Data Gaps Initiative (DGI) commitments, the Reserve Bank of India’s financial accounts compilation framework, known as the Financial Stocks and Flow of funds (FSF), presents a detailed view of sectoral and instrument-wise stocks and flows.

The current FSF mirrored the macroeconomic developments of 2023-24, characterized by robust economic growth of 12.0 per cent at current prices and private final consumption expenditure (PFCE) growth of 9.7 per cent. Influencing factors included favorable inflation, the prospect of Indian bonds joining global indices, and domestic equity market capitalization crossing the US$ 4 trillion-mark. Overall capital flows remained robust, with net capital inflows outpacing the current account deficit (CAD).

The financial assets of the domestic economy expanded by 13.9 per cent in 2023-24, while liabilities grew by 12.7 per cent. The net financial wealth (NFW) of domestic sectors rose to 28.6 per cent of GDP, up from 24.8 per cent in 2022-23, signaling a broad-based strengthening of financial balance sheets.

II. Financial Flows: Sector and Instrument-wise

Reflecting the uptick in economic growth, financial assets of the domestic sectors grew by 13.9 per cent. Households (HH) and financial corporations (FCs) remained the dominant sectors, together accounting for around 73 per cent of total financial assets in 2023-24.

  • FCs: Constituted 46.2 per cent of total financial assets and 41.9 per cent of total liabilities, reflecting higher resource mobilisation.
  • NFCs: Assets and liabilities declined, reflecting slower expansion in business activity and continued deleveraging.
  • General Government (GG): Progress in fiscal consolidation led to a marginal contraction of liabilities, with its share in total liabilities reducing to 18.0 per cent.
  • Rest of the World (RoW): Assets and liabilities increased, indicating increasing openness on the external front.

Instrument preferences remained stable. Currency and deposits, along with loans and advances, continued to be the major instruments used for holding assets and liabilities. For FCs, loans and advances to households and private NFCs were the predominant assets, while currency and deposits were the major liabilities. Households preferred currency and deposits as assets, though the shares of insurance, pension, and equity investments have been gradually increasing.

III. Financial Resource Balance

The financial resource deficit of the domestic economy decreased to 0.9 per cent of GDP in 2023-24 from 2.3 per cent in 2022-23. This was driven by higher growth of financial assets over liabilities, supported by strengthening balance sheets of NFCs and improved net financial positions of the general government and households.

IV. Sectoral Financial Linkages

The mapping of sectoral flows offers a view of interlinkages and interconnectedness.

IV.1 Financial Corporations

  • Central Bank (RBI): Growth in financial assets and liabilities increased to 11.1 per cent and 12.6 per cent, respectively. Loans and advances to financial institutions outside India increased by 59.9 per cent due to reverse repo transactions. Currency liability growth moderated to 3.9 per cent amidst increasing preference for digital payments.
  • Other Depository Corporations (ODCs): Financial asset growth increased to 13.2 per cent. Scheduled Commercial Banks (SCBs) dominated the segment with an 87.1 per cent share. The loan-to-deposit ratio rose to 84.5 per cent, and holdings of central government securities grew by 13.8 per cent.
  • Other Financial Corporations (OFCs): Assets grew by 19.7 per cent. Within this sector, the insurance sector accelerated by 17.4 per cent, and mutual funds witnessed a 35.5 per cent increase in assets and liabilities, with the AUM-to-GDP ratio reaching an all-time high of 17.7 per cent.

IV.2 Non-financial Corporations (NFCs)

Growth of financial assets moderated to 7.1 per cent, while liabilities fell by 6.7 per cent. PuNFCs (Public) became net lenders in 2023-24, showing improved liquidity and financial resilience supported by higher profits. PvNFCs (Private) ramped up borrowing for capacity expansion and inventory accumulation.

IV.3 General Government (GG)

The gross fiscal deficit of the Union Government fell to 5.5 per cent of GDP. The financial resource gap narrowed to 5.5 per cent of GDP from 6.0 per cent. Total GG debt reduced to 83.7 per cent of GDP from 84.5 per cent.

IV.4 Households (HH)

The financial surplus remained unchanged at 5.2 per cent of GDP. Assets grew to 11.4 per cent of GDP, while liabilities rose to 6.2 per cent, indicating higher borrowings from banks and NBFCs. The household debt-to-GDP ratio increased to 41.5 per cent, while net financial wealth increased to 87.8 per cent of GDP.

IV.5 Rest of the World (RoW)

India remained a net borrower. Flow of financial assets of RoW increased to 2.9 per cent of GDP, driven by higher equity investments in private corporate businesses. RoW liabilities increased to 2.2 per cent of GDP, primarily due to an increase in foreign investments by the RBI (foreign exchange reserve accretion).

V. Conclusion

The sectoral financial landscape in 2023-24 reflected balanced assets and liabilities expansion and improved financial health. FCs and households remained net lending sectors. The general government’s fiscal consolidation and improved corporate balance sheets contributed to healthier sectoral net positions and a rise in net financial wealth. Overall, the 2023-24 financial accounts highlight a robust and resilient financial balance sheet of domestic sectors supported by strong fundamentals and deepened financial intermediation.


References:

  • Copeland, M. A. (1947). "Tracing Money Flows through the United States Economy."
  • Government of India (2025). Union Budget 2025-26.
  • National Statistical Office (2025). National Accounts Statistics 2025.
  • OECD (2017). Understanding Financial Accounts.
  • Prakash, A., et al. (2023). "Financial Stocks and Flow of Funds of the Indian Economy 2020-21."
  • RBI (2024a, b, c). Annual Report, Trends and Progress of Banking, and State Finances.

RBI - Speeches

 Regulation and Supervision – Adapting to the Digital Age

Shri Sanjay Malhotra

Keynote Address by Shri Sanjay Malhotra, Governor, Reserve Bank of India at the Third Annual Global Conference of the College of Supervisors, Mumbai, January 9, 2026.

Good morning and Namaskar. It is my privilege to address the third annual global conference of the College of Supervisors.

Advancement in technology is impacting all spheres of human activity – personal, business and public. Financial system is no exception. Technology has revolutionised banking over the years. Yet, today’s landscape is distinct - the pace and scale of change are unprecedented. Technology has introduced new products, partners, and processes.

Digitalisation is widening access, enhancing efficiency, improving convenience, and enabling far more tailored financial services. At the same time, it is reshaping the nature and scale of risks. It is also accelerating the transmission of disruptions and risks underscoring the need for agility in regulatory and supervisory response. This makes the theme of the conference very apt.

I want to focus on five key messages today in my address: i) Systemic resilience as a collaborative effort ii) Supervisory action and enforcement as corrective measures iii) Effective use of data iv) Customer-centricity v) Capacity building

I. Systemic resilience as a collaborative effort

First, I want to emphasise that we in RBI view our regulatory and supervisory roles vis-a-vis the regulated entities as collaborative and not adversarial. We measure our success as a regulator not only in terms of stability but also the dynamism and vibrancy in the financial sector. Similarly, for the regulated entities to succeed in the long term, stability is essential. Essentially, the objectives and purposes of the regulator and the regulated are the same viz. to ensure the long term growth, advancement, stability, integrity, and credibility of the financial system.

The regulators and the regulated are in the same team and not opposite camps. We are partners in the nation’s development. Therefore, we have to work together to strike the right balance between growth and systemic stability on the one hand and between responsible innovation and consumer protection on the other hand.

I may mention that even the function of regulation and supervision is a collaborative effort. Almost every regulation is finalised through a consultative approach. Moreover, regulated entities also self-regulate through their own internal rules, controls, checks and procedures. Regulated entities have their own, if one can say so, in a broad sense, supervision - through their boards, senior management and assurance teams – both internal and external. Thus, while the statutory mandate to regulate and supervise lies with RBI, the obligation to uphold systemic resilience, to better serve the customers and facilitate the growth of the economy are shared responsibilities. It is a collaborative work with a collective aspiration.

Let us all remember that regulation works best when banks and other regulated entities view supervisors not as fault-finding inspectors, but as partners in resilience. For a country like India, where banks play a critical role in financial intermediation and inclusive growth, this collaborative approach is not just desirable—it is essential.

II. Supervisory action and enforcement as corrective measures

I now come to my second point. Supervisory action and enforcement are often viewed as the most visible aspect of regulation and supervision. It is therefore important to clarify that such actions by the Reserve Bank must be seen as part of a continuum of supervisory tools, not as a standalone response. This continuum begins with training and capacity building and moves through dialogue and guidance, off-site and on-site supervision.

Enforcement, restrictions and penalties are measures of last resort. Our endeavour is to have a robust financial ecosystem where supervision encourages self-correction and enforcement acts only as backstop. Moreover, the purpose of enforcement actions undertaken by the Reserve Bank is generally not punitive. The intent is largely to correct. They serve two purposes - (i) signal to those against whom such measures have been initiated; and (ii) make others aware of our acceptable standards of conduct and expectations.

III. Effective use of data

My third point is related to reports that the regulated entities submit and the data that we collect for various purposes including supervision and regulation. We have undertaken several initiatives in the past to streamline the reporting mechanisms and improve the quality of data. We collect large amounts of data through platforms like CIMS and DAKSH. While some amount of burden is placed on all of you in this process, our supervisory capabilities have been strengthened because of your support.

I am happy to note that the quality of data has improved recently, following introduction of the Supervisory Data Quality Index (SDQI) last year. I am confident that we will continue to collaborate for improving the system while reducing the burden placed on regulated entities.

While we have made good use of this data, there is scope for more effective use of this data. For example, Department of Supervision can build stronger analytics and supervisory dash boards for enhanced off-site surveillance, to support more continuous monitoring and early risk detection. Our endeavour should be to make supervision more off-site than on-site and as near real-time and not periodic. Increasingly, this will also mean using SupTech and AI-enabled tools more deeply, while retaining judgment and accountability, firmly with supervisors. Similarly, Department of Regulation can use this for evidence based regulation making. It should be our endeavour to make better and effective use of data.

IV. Customer-centricity

I will now turn my attention to the use of technology for the benefit of customers. For all of us, protecting customers’ interest is not just a priority – it has to become the cornerstone of a sustainable and resilient financial system. Digital channels facilitate our efforts by improving inclusion and convenience. But, without guardrails, they can also facilitate opaque pricing, weak disclosures and inappropriate recovery practices. Our aim should be to ensure that digitalisation and innovations are aligned with fair outcomes for consumers.

A key element of this endeavour should be to protect customers from the menace of rising digital frauds, which has engaged national attention. While banks and other regulated entities individually should continue to improve their tools, techniques and processes in preventing and tackling digital frauds, this is an area where we need to collaborate with each other to build analytics and tools to detect mule accounts and suspicious transactions timely and pre-emptively.

V. Capacity building

Before I conclude, let me acknowledge that there are huge expectations from all of us in financial system. To deliver on these expectations, and on our broader mandate, we must improve our effectiveness. This can only be achieved when we have the right mix of skills not only within the Reserve Bank across regulatory and supervisory domains but also within the financial institutions.

Moreover, a strong financial system needs supervisors, regulators as also the regulated entities to provide feedback and learn continuously from each other. Regulated entities need to better understand regulatory expectations and requirements, particularly in the areas where models, partners, data, and digital delivery create new forms of risk. They need to imbibe the essence of regulation and follow the spirit of it and not merely follow a tick-box based compliance culture. Our endeavour, rather, should be to develop common understanding which can reduce frictions and improve outcomes.

Supervisors and regulators need to provide timely inputs and clarifications. Supervision should not only enforce existing regulations, but also help refine them by flagging regulatory gaps and inconsistencies observed during supervisory engagements. The amendments to the co-lending directions and lending against gold & silver jewellery last year were few recent examples where feedback from all the stakeholders helped us refine regulations. This feedback process is not just limited to supervisory engagement but also includes regulatory or supervisory reporting of data.

We need to intensify our engagement and capacity building efforts. This is where institutions like the College of Supervisors (CoS) can contribute immensely. CoS is not only a training institution. It is a platform for building a shared language of oversight, learning from case studies and practical scenarios. It provides a forum for skill upgradation and bridging the information gap between the Reserve Bank and our regulated entities. I urge all of you to collaborate and utilise the facilities offered by the CoS, more often.

Conclusion

As I conclude my address, I want to emphasise that the fundamental architecture of regulation and supervision remains the same even in the digital era. They still follow the guiding principle of risk sensitivity. Regulated entities still have their stakeholders’ interest topmost in mind. Nonetheless, digitalisation has altered the landscape in many ways.

I will leave you with a few key points to ponder and deliberate upon:

  • First, regulation and supervision must remain risk-based, proportionate, and technology-neutral;
  • Second, technology must embed compliance, not bypass it; and
  • Third, accountability must remain human, and automation should not dilute accountability—it should sharpen it.

I am confident that your deliberations during the day will yield actionable insights on how regulation and supervision should adapt, and how we can forge stronger pathways for cooperation with our key stakeholders and peers.

I thank the CoS team for organising this conference and giving me the opportunity to share my thoughts. I wish you a very productive and successful conference.

Thank you. Namaskar.


Based on the sources provided, here is the full text of the speech by Shri Swaminathan J., Deputy Governor of the Reserve Bank of India.


Issues and Challenges in Banking Supervision in the Digital Era Shri Swaminathan J.

Speech by Shri Swaminathan J, Deputy Governor, Reserve Bank of India, on Friday, January 9, 2026, at the Third Annual Global Conference of the College of Supervisors, RBI, Mumbai.

Respected Governor; Deputy Governor, Shri S C Murmu; Chairman, Academic Council, College of Supervisors, Shri Arijit Basu; and members of the Academic Council of CoS; Director, CoS, Shri R. Subramanian; Distinguished speakers, panellists and Managing Directors & CEOs of Regulated Entities; My fellow colleagues from RBI, Ladies and Gentlemen.

A very good morning to all of you. It is a pleasure to be with you today at the third edition of the annual global conference of the College of Supervisors of the Reserve Bank of India. As we all know, banking is becoming more digital, more connected, and more complex. So, I will use this opportunity to take this one step further and speak about what “Supervision in the digital age” really means on the ground, for us and the supervised entities. How our questions change?. How our engagement will change, and what we expect boards and management to demonstrate—before the next incident tests the system!.

What changes on the ground for supervisors?

Let me start with a simple thought. For decades, supervisors were trained to read balance sheets and inspect processes. We still do that. But today, a bank can look perfectly healthy on paper and still be one incident away from severe disruption. The reason is that the centre of gravity is shifting from the “branch and product” to the “pipes and code”. In other words, stability now depends as much on operational resilience, data integrity, and third-party dependencies as much it does on capital and liquidity.

Therefore I would like to dwell upon how has the risk landscape changed in the digital age:

a. The first is speed. In the digital world, both growth and stress can travel faster. Customer acquisition can be exponential, but so can misinformation, panic, and outflows. Risks that used to take weeks to build can now crystallise in hours. This means supervisory feedback loops must tighten, with early triggers, faster follow-up, and clear escalation.

b. Secondly, concentration and interdependence. Many institutions may rely on the same core service providers, cloud platforms, payment rails, data vendors, and cybersecurity tools. This creates a new form of common exposure. It is not always visible in traditional financial ratios, but it is very real. For supervision, we need to map dependencies more actively and assess concentration risk at the ecosystem level, not only at the individual institution level.

c. Third is the growing role of algorithms. AI and machine learning are entering credit underwriting, fraud detection, customer service, treasury, and even internal control functions. This improves efficiency but also raises new questions of accountability, explainability, and fairness. Supervisors need to be able to ask, and entities need to be able to answer, a simple question: who owns the outcome when a model drives a decision?.

d. The fourth is an expanded threat surface and cyber risk. Digital banking increases points of entry, and the adversary is no longer a random hacker. It is often organised, well-funded, and persistent. Even when a bank’s internal controls are strong, a weakness at a vendor, a partner, or a common technology component can spill over. Resilience and recovery must be treated as core capabilities.

e. Lastly and perhaps most importantly, there are conduct risks in a digital wrapper. Digital lending, embedded finance, and platform-based distribution have significantly improved access and convenience. But we have also seen risks of mis-selling, opaque charges, aggressive recovery practices, and data misuse. In a digital environment, customer harm can quickly become a confidence issue, and that can quickly transform into a liquidity issue.

How supervision must respond: principles before tools

Let me now turn to the supervisory response. We certainly need better tools, but we must start with a few fundamental principles that keeps supervision grounded even as technology evolves.

The first is technology-neutral, risk-based supervision. We should regulate and supervise activities and risks, not technology brand names. Innovation will keep changing. Our objectives do not and there is no real replacement to human judgement.

The second is proportionality. Not every institution has the same complexity, systemic footprint, or technology maturity. The supervisory approach must be risk-based, calibrated and proportional, but without lowering expectations for basic controls, such as cybersecurity hygiene, data protection, and governance.

The third is clear accountability. Digital systems can diffuse responsibility between bank, vendor, fintech partner, and so on and so forth. The supervisory approach must be clear: the supervised entity remains accountable for activities conducted in its name and on its rails.

The fourth principle is forward-looking supervision. In a fast-changing environment, backwards-looking compliance checks are necessary but not sufficient. We have to be able to spot weak signals early, test resilience before incidents occur, and intervene before vulnerabilities become events.

New Supervisory Focus Areas

These principles are not new. What is new is the supervisory mindset we need around them. Supervision must shift from periodic snapshots to continuous awareness. It also needs to move beyond a single institution and take a sharper view of its ecosystem. And finally, we need to move from asking only “did you comply?” to also asking “can you withstand stress, recover quickly, and protect customers when things go wrong?”.

Let me translate that mindset into four supervisory focus areas that are becoming central in the digital age: i. operational resilience and cyber readiness, ii. ecosystem and third-party dependencies, iii. governance of data, models and AI, and iv. technology-enabled, continuous supervision, including better use of SupTech and analytics.

Operational resilience and cyber readiness The first shift is in how we view operational disruptions. In the past, operational risk was often treated as a support function issue. In the digital world, it can become the main event. A few hours of outage, a serious cyber incident, or a breakdown at a key service provider can impair critical services. This calls for deeper engagement with boards and senior management on cyber governance, crisis playbooks, recovery capability, and learning from near-misses. It also means simulations that test decision-making under pressure, not just documentation.

Ecosystem and third-party dependencies The second focus area is the ecosystem around the supervised entity. Critical functions may be hosted by cloud providers, technology vendors, payment intermediaries, outsourced service centres, fintech partners, and data service providers. Collectively, the system can become exposed to a small number of common points of failure. The cross-border element adds another layer. Many providers operate globally, and incidents do not respect jurisdictional lines. The global IT outage in July 2024 is a useful reminder. The lesson is not about any one firm, but about how quickly third-party incidents can transmit disruption at scale, including to well-run institutions. This calls for near real-time cooperation among supervisors.

Governance of data, models, and AI The third focus area is the rise of data-driven decision-making, including AI. From a supervisory standpoint, the question is not whether a bank uses AI. The question is whether it can demonstrate governance and accountability around its use. Two issues deserve particular attention. One is reliance on vendor models and embedded tools, in which the institution may use the output without fully understanding the underlying engine. The second is fairness and unintended exclusion, where data proxies can produce outcomes that appear efficient but are unacceptable. Governance is what allows innovation to scale safely.

Technology enabled continuous supervision The fourth focus area is the supervisory transformation itself. If banking is becoming always-on, supervision cannot remain episodic. This requires on-site and off-site teams to work more closely together, to pick up early signals and for faster follow-up. SupTech can help supervisors identify patterns early, detect anomalies, and focus attention where it matters most. But data quality and data governance remain critically important. With better data quality and right analytics, supervisors can increasingly connect dots across silos.

A sharper customer lens: grievance redress as an early warning indicator

Before I conclude, let me add one more point: customer service and grievance redress. In a digital environment, a weak grievance system is not a minor irritation. It is often an early warning. From a supervisory angle, we need to look not only at whether a bank has a grievance framework, but at how it performs. Are complaints resolved on time?. Do institutions identify root causes and close them, or do they only manage closures on paper?. Do boards see a clear dashboard of complaint trends, repeat failures, and customer pain points?. And, is there a proactive and swift remediation?. A mature digital financial system does not have zero complaints. Instead, it learns and fixes quickly, and customers can get fair outcomes without running from pillar to post.

Conclusion

Let me conclude by summing up what the digital age means for supervised entities and their supervisors.

For supervised entities, three messages are important: i. First, compliance cannot be treated as a quarter-end activity. With faster cycles, banks will need stronger operational discipline and data governance throughout the year. When an anomaly is flagged, the ability to explain it and fix it quickly becomes a marker of control maturity. ii. Second, third-party management must be treated as risk management. Institutions will need better oversight of partners, clearer accountability for incidents, and contracts that support audit, access, and resilience. The regulated entity cannot outsource responsibility. iii. Third, as AI and analytics become more embedded, institutions should be prepared for more intensive supervisory questions on model risk, explainability, and fairness.

For supervisors, the bar is also rising. We need to remain rooted in the basics while also becoming more familiar with new risk areas. That means building the right mix of skills, including cyber, IT, data, and model expertise, alongside core prudential judgement.

This is where the role of College of Supervisors (CoS) becomes central. The College is not only about training programmes. It is about building a shared supervisory language, practical comfort through casework and simulations, and the confidence to ask the right questions in new areas. The College also has a broader role as a platform for peer learning, particularly with supervisors from the Global South. Sharing practical experience on what works and what does not is one of the quickest ways to raise supervisory effectiveness.

Finally, capacity building is not a one-time effort. Technology and business models will continue to evolve. Threat actors will keep adapting. Our training and supervisory methods must continue to grow as well.

In the digital era, supervision must remain prudent but also become more vigilant, more ecosystem-aware, and more outcome-focused. The intent is not to impede innovation. Instead, it is to ensure that innovation rests on trust, resilience, and customer fairness. I am confident that the deliberations in this conference will help us sharpen our thinking on these issues. I wish you all a productive conference, and I look forward to the discussions.

Thank you. Jai Hind.

Based on the sources provided, here is the full text of the speech by Shri Shirish Chandra Murmu, Deputy Governor of the Reserve Bank of India.


Regulation in the Digital Era – Issues, Opportunities and Challenges Shri Shirish Chandra Murmu

Special Address delivered by Shri Shirish Chandra Murmu, Deputy Governor, Reserve Bank of India on January 9, 2026, at the 3rd Annual Global Conference of the College of Supervisors, Reserve Bank of India on the theme of ‘Adapting the Regulation and Supervision to the Digital Age’, in Mumbai.

Distinguished guests and my colleagues, Namaste and a very good afternoon! It is a privilege to address this illustrious gathering at College of Supervisors’ Third Annual Global Conference convened around the theme of ‘Adapting the Regulation and Supervision to the Digital Age’.

Digitalisation has brought significant benefits such as efficiency and productivity gains, improved transparency, enhanced competition and expanded access to financial services. At the same time, it is also creating new categories of risk and reshaping familiar risks in unfamiliar ways, altering their transmission, visibility, and controllability. The digital transverses beyond products, platforms, or processes to organizational structures, partnerships, and information flows, and with enhanced speed and scale, fundamentally altering the nature of how risks emerge and spread, and how trust is built or undermined. These shifts compel regulators to revisit the operating assumptions of their regulatory approaches. Trust, a cornerstone of financial stability, is increasingly being forged through digital channels, presenting regulators with the challenge of balancing innovation against risk.

Building on this, I will first touch upon some issues and challenges that digitalisation presents for regulators, and I will then turn to the opportunities it offers for developing more effective and forward-looking regulatory approaches. I will conclude by outlining a set of guiding principles that, in my view, should anchor regulation in the digital age.

I. Issues and Challenges for Regulation in the Digital Era

A. Regulatory Agility Digitalisation has compressed the time dimension in finance. Transactions settle instantly, services operate continuously, and decisions across payments, credit, and markets are executed automatically at machine speed. This has narrowed the time available between early warning and realised impact; with the risk that operational incidents, fraud, or loss of confidence may scale rapidly, even before conventional indicators register meaningful deterioration. Accordingly, the regulatory processes historically designed around reporting cycles and post-facto remediation must also evolve towards proactive detection and agile interventions without sacrificing prudence and quality of regulatory judgement.

New applications and business models are emerging with increasing frequency, thus challenging the regulators on the appropriateness and speed of regulatory response. Frequent changes to regulations can create uncertainty and compliance fatigue, while delayed adaptation risks leaving material developments inadequately addressed. Regulation must therefore maintain an optimal balance between durability and responsiveness.

B. Regulatory Perimeter and Fragmentation Digitalisation is also blurring traditional regulatory boundaries. Many of the financial activities are now being unbundled and delivered through non-financial platforms and arrangements involving both regulated and un-regulated entities, that do not fit neatly within the existing regulatory scope of RBI. Oversight of such activities is often fragmented among multiple financial and non-financial regulators with no single authority having a comprehensive, end-to-end view of the entire activity chain and risk transmission pathways. Hence, regulatory actions taken within individual mandates may be sound in isolation yet collectively may not fully address such cross-cutting risks.

The challenge lies in the ability of sector-specific regulatory frameworks to remain coherent when digital financial activity cuts across them by design. Reflecting this, international experience indicates a range of approaches—from legally anchored extensions of regulatory reach to collaborative forums with industry experts. RBI has adopted a hybrid approach that integrates elements of both activity-based and entity-based supervision. It is complemented by inter-regulatory platforms under the aegis of the Financial Stability and Development Council, which help in combined assessment of risks from the financial stability perspective. Fragmentation across jurisdictions further complicates the oversight of digital financial activity. Difference in legal frameworks, institutional mandates, and domestic policy priorities can lead to divergent regulatory approaches which may create scope for regulatory arbitrage and uneven risk management, thereby underscoring the importance of effective cross-border co-operation.

C. Nature of Regulation It is often seen that prescriptive regulations become misaligned as technologies and business models evolve. Conversely, principle-based regulation introduces scope for interpretation and uneven application, if not supported by strong governance and supervisory engagement. The challenge of regulators lies in calibrating regulation to have clarity without rigidity and flexibility without ambiguity. As international experience suggests, principle-based regulation, accompanied by a mature industry with strong governance structures, yields more successful results.

D. Financial Stability Digital innovations like usage of cloud and decentralised finance introduce new and potentially systemic risks, owing to increased interconnectedness with unregulated entities like technology providers, single points of failure, opacity of underlying arrangements and diluted accountability. As systemic fragility can emerge without any single entity appearing vulnerable, regulators are required to look beyond entity-level soundness to systemic effects of concentration and limited substitutability.

The increasing use of models, algorithms, and code across the financial industry is reshaping how outcomes are generated. However, their limitations such as explainability, embedded bias, and model drift may not be immediately apparent. The overarching framework such as in the report of Committee on Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) may be helpful but needs to be translated into appropriate regulation with the underlying principle that the accountability from usage of such technologies lies with the regulated entity.

E. Operational Resilience In today’s financial system, data has become a core asset. As financial institutions collect and process vast amounts of sensitive personal and transactional information, they have become increasingly attractive targets for cyberattacks. The use of technologies for fraudulent activities like impersonation and fabricated identities is reducing the reliability of traditional checks. Another emerging challenge for regulators is the veracity of information, as digital platforms enable information, whether accurate or distorted, to circulate rapidly. In such environment, a clear, targeted and timely regulatory communication assumes greater significance for anchoring stakeholders’ confidence.

F. Capacity Digitalisation has materially expanded the scope and sophistication of issues that fall under the regulatory domain. Regulatory judgement increasingly requires understanding technology-enabled business models and data-driven decision systems, which place sustained demands on regulatory capacity. Regulators should proactively attract, retain, and effectively deploy talent ensuring that expertise is well embedded across regulatory teams.

II. Opportunities for Regulation in the Digital Era

The same forces that generate challenges for regulation in the digital era also create opportunities for the regulator by enabling them to continually assess and adaptively calibrate their approaches.

A. Proactive Regulation Digital financial activity generates granular, high-frequency information, creating the opportunity for early and deeper regulatory assessments of emerging issues. RBI’s machine learning tool- MuleHunter.ai is an example of its digital intervention to tackle the problem of mule bank accounts.

B. System Wide Visibility Advances in data availability and analytical tools can be used by regulators to look through complex chains of dependencies and interconnections to identify critical nodes and assess concentration risks. This helps in not only having a more coherent view of risk but also anticipating system wide disruptions even though individual entities appear resilient.

C. Regulatory Calibration Digitalisation creates scope for the regulator to become more adaptive. A granular understanding of activities facilitates an opportunity to operationalise proportionality with greater precision. At the same time, digital tools help regulators incorporate feedback from incidents and market developments more systematically into regulations.

D. Reducing Regulatory Burden The availability of richer data enables regulators to undertake regulatory impact assessments and cost–benefit analysis in a more structured manner. RBI has been actively working on embedding digital processes within its functions to reduce compliance burden. All regulatory services are now delivered through an end-to-end centralized digital portal PRAVAAH. DAKSH, an end-to-end supervisory workflow application, enables focused monitoring of compliance and cyber incident reporting.

E. Regulatory Capabilities The use of technology by both regulators (SupTech) and regulated entities (RegTech) supports more efficient supervisory processes. RBI’s Advanced Supervisory Analytics Group is increasingly using digital techniques for microdata analytics, social media monitoring, and assessing borrowers’ fraud vulnerability models. Furthermore, the Complaint Management System of RBI is progressively making use of tools to assess consumer grievances and mis-selling.

F. Regulatory Cooperation Digital tools can support faster information sharing and joint analysis for consistent regulatory outcomes in cross-border and cross-sectoral contexts. RBI has been continuously engaging with domestic and international regulators to further such collaborative efforts.

III. Principles for Regulation in the Digital Era

I would like to end by laying down some guiding principles about how a regulator should think, decide, and act in the digital era:

  • a. Primacy of Public Interest: Regulation must remain anchored in its core objective of financial stability and customer protection.
  • b. Risk-based Focus: Regulatory focus should be directed at the risks beyond institutional form, legal structure, or delivery channels.
  • c. Enforce Accountability: Technological intermediation must not dilute accountability of regulated entities.
  • d. Proportionate Calibration: Regulatory intensity should be calibrated to the materiality, complexity, and systemic relevance of activities.
  • e. Data, Experience, and Foresight: Regulatory decision-making should draw on data, supervisory experience, and forward-looking judgement.
  • f. Adaptive Refinement: Regulation should continually evolve.
  • g. Outcome Orientation: Expectations should focus on desired outcomes and risk controls, allowing flexibility while avoiding the prescription of specific technologies.
  • h. Resilience by Design: Frameworks should focus on the ability of entities and systems to absorb shocks and maintain continuity.
  • i. Effective Communication: Regulatory communication should be clear to support confidence and stability.

Conclusion

Let me conclude with a reflection that extends beyond regulation. The digital era is steadily compressing the distance between action and consequence. Actions now travel faster, interact more widely, and compound more quickly than before. In such a setting, the central challenge is not uncertainty itself, but the quality of judgement exercised while outcomes are still unfolding.

In this environment, the value of regulation lies in its ability to serve as a stable reference point while everything else is in motion. When it is grounded in evidence, experience and is forward-looking, regulation can shape the trajectory of change rather than merely respond to it. That is how innovation moves forward with confidence, and how trust in the financial system is endured.

Thank you and wishing constructive deliberations and exchange of views.



Saturday, January 24, 2026

Oral history of Sophie Wilson - 2012

 Based on the sources provided, the following is a reproduction of the oral history of Sophie Wilson, recorded on January 31, 2012.


Oral History of Sophie Wilson 2012 Computer History Museum Fellow Interviewed by: Douglas Fairbairn Recorded: January 31, 2012, Cambridge, United Kingdom

Fairbairn: Okay, Sophie, can you hear me? Wilson: Yes. Fairbairn: Sophie? Are you there? Wilson: Well, I’m here. Fairbairn: Oh good. It’s working both ways now. My name is Doug Fairbairn and it’s January 31st, 2012 and I’m in discussion with Sophie Wilson, a primary architect of the ARM microprocessor which over the last 18, 20 years has become probably the most widely used microprocessor throughout the world. Delighted to be here, Sophie, welcome. Wilson: Hello. Fairbairn: Before we get into the general flow of the interview, could you spend a few minutes talking about what the ARM processor is; what’s unique and special about it and what impact it has had?

Wilson: Okay. So, I’d like to take you back to 1983. At the time, Acorn Computers was a reasonably successful producer of small microcomputers, a sort of British company like Apple. We had a machine, the BBC Microcomputer, that had been franchised by the British Broadcasting Corporation; it was, in some ways, quite like an Apple II. It had a 6502 microprocessor in it though we ran it faster, it had higher resolution graphics. It was mainly TTL logic but it had two custom integrated circuits inside it; a video processor and a serial processor.

The BBC Microcomputer was designed as a two processor system from the outset to get past an impasse in the company where some people wanted a cheap machine and others wanted a workstation. By having an IO processor and a second processor for heavy lifting, we could make all of that happen. We made lots of second processors based on existing microprocessors like the 80286, 6809, and NS32016. We could see what all these processors did and what they didn’t do. They didn’t make good use of the memory system, they weren’t fast, and they weren’t easy to use. They were too slow. Between the two things we felt we needed a better processor in order to compete with the flood of IBM PC compatibles.

We gave ourselves a project slogan: “MIPS for the masses”—Millions of Instructions Per Second for masses of people. Unlike RISC research at Berkeley or Stanford aimed at high-end workstations, we wanted the same thing at the low end. ARM kept Acorn alive for another 16 years. As a side effect of making it cheap and simple, we also ended up making it power efficient; that wasn’t intentional. We only had 25,000 transistors in the first one. We were worried about power dissipation for mass manufacture in cheap plastic cases without heat sinks. As the world has gone increasingly mobile, that aspect of ARM has mattered as well.

Fairbairn: That’s a great summary. Now I’d like to understand how you arrived at Cambridge. Tell me about your childhood and parents.

Wilson: I was born in Leeds in Yorkshire. My parents moved to a small village called Burn Bridge. My parents were both teachers, and if they had one ambition for their children it was “Don’t be a teacher.” My father was an English teacher, my mother a physics teacher. We all went off to university to do mathematics. My father did an immense amount of construction. He built the family car, boats, and half the furniture in the house. When my mother’s Physics Department needed instruments, we built them. We’d have a dining room table and everybody in the house would be sitting around building Heathkit multimeters. My father once had a 26-foot boat mast in the living room. Making things and making things work was a routine thing.

We had long summer holidays in the Lake District where we lived in tents or camper vans my dad built. There was no real limit to what my parents could do. We were a very “ready” family. We went to the library every week and pooled our tickets to get 12 books and read them all by the next weekend. There wasn't much electronics available, but when I was 13, we were given mechanical calculators—metal tablets with slidey things.

I was an unexceptional student in a streamed grammar school. I did modestly at O Levels. Secretly I hated chemistry but was fond of the math teacher. My parents expected me to follow math/physics/chemistry, but I revolted at the last moment and picked Maths, Further Maths, and Physics. I applied to Cambridge University and passed the entrance exams. Out of six pupils in the further maths group, only two of us got into Oxford or Cambridge.

I was extraordinarily naïve about why I was going to university. I did a year of maths, but it was clear Cambridge maths was substantially harder than the entrance exams. In my second year, I failed.

Between school and university, I had worked for ICI Fibres Research. They put me in a department outfitting production lines. I built a “wrap detector,” but I was told by the Union steward that I built it too quickly. Then I built a machine that counted droplets using an infrared beam. I wasn’t impressed with their RTL logic blocks, so I read the RCA CMOS book cover to cover. I rebuilt the drop counter with CMOS because it was noise immune and low power.

After my first year of university, I worked for a guy who had set up an electronics business. He wanted an electronic cow feeder. I bought a 6502—my first—for 76 quid. I designed the electronics to be waterproof and wrote the programs in machine code. I used Electrical Erasable ROMs (EEROMs) for storage, which was very advanced for the time. I had taught myself programming by using a PDP-8 at ICI, teaching it to play noughts and crosses.

When I failed maths in my second year at university, my Tutor suggested a one-year course in Computing Science. I resisted at first but did it. During that summer, I worked for Hermann Hauser. He wanted an "electronic pocket diary." I showed him my folder of designs for my home computer and cow feeder. He said, “Will you build one of those for me?” That became the Acorn System 1. I built the Verowire prototype and wrote the 512-byte monitor by hand.

Hermann had a consultancy called Cambridge Processor Unit (CPU). They won a contract to build an electronic fruit machine. Steve Furber and Chris Turner were working on it. I built circuitry to stop the machines from paying out when someone sparked a Piezo electric lighter near them. We passed the tests even when they struck electric arcs with a welding machine next to it. We changed the production machine to use my 6502 instead of Steve's 2650.

I spent most of my time at CPU Limited building stuff and a fraction of my time at university. I broke Martin Richard’s BCPL compiler with an elegant recursive program. Hermann attended my graduation and negotiated my job; I got paid 1200 pounds a year.

In the summer of '79, I went to work full time. I spent time writing an automatic assembler and then, over Christmas, wrote the first BASIC interpreter. For the Acorn System 1, I did everything: software, manual, PCB design, and shipping. We built a whole range of parts—memory cards, video displays, disk interfaces.

Then came the BBC Micro. Chris Curry wanted something for the home hobbyist. We were discussing a design called the Proton. The BBC wanted a computer for a TV series. Chris Curry told the BBC they should see our prototype, even though we hadn't built one yet. Hermann hoodwinked Steve and me by telling each of us that the other had agreed to build the prototype by Friday.

We started Monday. It was a 100-IC machine. We needed special Hitachi DRAMs for a high-performance memory system. We wire-wrapped the thing by Thursday night, but it didn't work. I went home at 2:00 AM to sleep so I could write the software. Hermann decided to take the in-circuit emulator out and put a native processor in, and it worked. I adapted the OS and bootstrapped BBC BASIC just hours before the BBC arrived. While Hermann delayed them on the stairs, I was poking registers to get a screen display. We sold 1.25 million of them.

By 1983, we were disappointed with processors like the 80286 and 68000. They were slower than the 6502 because they didn't use memory bandwidth effectively. We visited Western Design Center in Phoenix. We saw bungalows and college kids sticking Rubylith tape on things. We became convinced that if they could build a processor, we could too.

Andy Hopper put the first RISC papers from Berkeley and Stanford on my desk. I started designing an instruction set. Steve researched pipelines. We had a team of fewer than 10 people. We put a lot of effort into verification. Steve wrote a behavioral model in BBC BASIC. We sent the ARM to VLSI Technology; the first silicon came back on April 26, 1985. We plugged it in, and it worked the first time.

In 1990, ARM spun out of Acorn as a separate company with investment from Apple and VLSI Technology. I stayed at Acorn as a consultant to ARM. I wrote the "Acorn Replay" multimedia system and worked on set-top boxes and the StrongARM with DEC.

Eventually, Acorn was taken over because of the value of its ARM shares. I had been developing a 64-bit processor called ALARM (A Long ARM). We used that as the seed for a startup called Element 14. ALARM was renamed FirePath. We became a multi-core chip company for DSL modems and were bought by Broadcom.

I have two wildly successful microprocessor designs. I’ve always had the pleasure of seeing things I design used in volume. Now they’ve shipped over 32 billion ARM cores. It’s a bit scary to have 20 billion copies of a little bit of your brain running around the world. But I have the satisfaction of seeing my stuff be in things. Things are made to work.


End of Interview

Thinking fast slow and slower

Based on the sources provided, the following is the full text of the article "Thinking fast, slow, and super slow" by David Bessis, which explores how mathematicians train their intuition.

Thinking fast, slow, and super slow: How mathematicians train their intuition

A ball and a bat cost a total of $1.10. The bat costs $1 more than the ball. How much does the ball cost?. Borrowed from Daniel Kahneman’s Thinking, Fast and Slow, most people incorrectly answer 10¢ because if the ball cost 10¢, the bat would cost $1.10, totaling $1.20. Even when corrected, people often find excuses not to calculate the right answer, which is .

This problem illustrates cognitive biases and Kahneman's theory of two cognitive systems. System 1 provides immediate, instinctive, and sometimes incorrect responses, while System 2 is used for rigorous calculations but is tiresome and consumes significant mental energy. Biologically, humans have a preference for intellectual laziness, often relying on System 1 without verification. Kahneman recommends fighting this inclination by memorizing cognitive biases and forcing the use of System 2.

David Bessis suggests a better way. When he first took the test, he instinctively answered “5¢” without conscious calculation. His friend, a cognitive science student, called this "cheating" because he was a mathematician, implying it was impossible to see the answer immediately. Bessis was surprised that others struggled to see the answer as "visually evident" and investigated why. He found that most non-mathematicians would choose intuition over reason in a personal conflict, yet their intuitions failed them on this simple math problem.

Bessis disagrees with Kahneman’s assumption that the "intuitive answer" is necessarily false and that we must simply "resist" it. He argues that top students at elite universities have faulty intuitions because they have not trained them, whereas students who "see" the answer have a massive competitive advantage. He critiques the idea that intuition is hardwired and unchangeable, comparing it to the belief that ancient Romans couldn't mentally represent large numbers.

Instead of just resisting intuition, Bessis proposes System 3, which involves introspection and meditation techniques to establish a dialogue between intuition and rationality. This system focuses on resolving the dissonance between one's gut feeling and logic. In practice, this means:

  • Translating intuition into a simple, intelligible story.
  • Picturing logical reasoning to experience it in the body.
  • Acting as a referee to understand where the misalignment occurs.

While logic is "inert like a pebble," intuition is organic, living, and growing. Intuition is the tangible manifestation of synaptic connections—a network of mental associations containing all your experience. Bessis argues that an error in intuition is not a sign of intellectual inferiority but an opportunity for mental representations to reconfigure.

To solve the ball and bat problem intuitively, Bessis visualizes prices as lengths. By seeing the bat as a "ball plus $1" and placing them together, it becomes visually obvious that two balls plus $1 equals $1.10, meaning the ball must be 5¢. He recommends that others reprogram their intuition by constructing pictures that work for them. His key principles for this are:

  1. Reprogram your intuition.
  2. Use misalignment as an opportunity to create new ways of seeing.
  3. Allow the process to happen at an organic pace.
  4. Don’t force it; play with what you already understand.
  5. Strengthen intuitive capacities through short, regular practice.

Bessis concludes that nothing is counterintuitive by nature; it is only temporarily so until you find a way to make it intuitive. Understanding is the act of making a concept intuitive for yourself.

Summary of the Three Systems:

FeatureSystem 1System 2System 3
NameIntuitionRationalityThought / Reflection / Meditation
VerbSeeFollow the rulesReflect / Meditate
AdjectiveInstinctiveProceduralIntrospective
OutputMental imageCalculated valueUpdating System 1
SpeedFast (Immediate)Slow (Seconds/Minutes)Super slow (Days/Months/Years)
MetaphorElectricalMechanicalOrganic
BenefitsSpeed, sincerityAccuracyStrength, self-confidence
LimitationsImpreciseNot humanAsynchronous

System 2 reasoning often feels like acting like a robot, which humans are biologically poor at sustaining. System 3 is a meditation constrained by the principle of noncontradiction, aimed at revising System 1. Just as surfers habituate System 1 to Newtonian physics, practitioners of System 3 habituate System 1 to logical consistency. For those who use System 3, math does not feel like work; they are simply seeing pictures in their heads and asking naive questions.


This post is adapted from Chapter 11 of "Mathematica: A Secret World of Intuition and Curiosity" by David Bessis.

Newspaper Summary 250126

 Based on the sources provided, here is the reproduced article regarding the dividend rankings of the Nifty 500.

Nifty 500 Ranks Lowest Globally in Dividends

The Paradox: India’s dividend yield is the lowest among major markets, yet its 13.6 per cent CAGR ranks it among the world’s top three equity markets over the last 20 years.

The Dividend Shortfall

Over the past two decades, India’s equity market has recorded the lowest average dividend yield among major global markets. According to Bloomberg data, the 20-year average dividend yield for Nifty 500 constituents was just 1.3 per cent. This is significantly lower than developed markets such as the UK (3.84 per cent), Japan (2 per cent), and the US (1.9 per cent), as well as emerging peers like Indonesia (2.4 per cent) and China (1.9 per cent).

Strong Growth Outcomes

Despite the low yields, India has delivered some of the strongest long-term equity growth outcomes globally. Over the same 20-year period, the Nifty 500’s Price Return Index (PRI) saw a compound annualised return (CAGR) of slightly over 12 per cent. When dividends are reinvested, the Total Return Index (TRI) rises to nearly 13.6 per cent CAGR, placing India in the top three performing equity markets globally.

The gap between the PRI and TRI in India is approximately 1.6 percentage points, which is the narrowest among major markets. By comparison, countries like New Zealand, Australia, and Singapore have gaps of nearly 4 percentage points, reflecting much higher dividend yields. Consequently, reinvested dividends account for only about 25 per cent of India’s total equity returns, whereas they contribute up to 56 per cent in several other global markets.

Why India Pays the Least Dividends

Several factors contribute to this trend:

  • Premium Valuation: India has historically commanded a premium valuation due to strong growth prospects, stability, and a diversified index.
  • Concentrated Ownership: Many listed firms are controlled by promoter families who prioritizestrategic flexibility and balance-sheet strength over cash payouts. Unlike Western markets, these promoters face less pressure from institutional investors to distribute surplus cash.
  • Tax Considerations: Until recently, many Indian companies chose share buy-backs over dividends because they received more favorable tax treatment.
  • Investor Preferences: Indian investors are largely return-oriented rather than income-oriented, driven by strong price appreciation and favorable capital gains taxation. The rise of SIP-led mutual fund flows has further entrenched a growth-first mindset.

The Sectoral Divide

There is a notable divide in dividend payouts across different sectors of the NSE 100. Higher yields (4-6 per cent) are typically found in mining and metals firms (such as Vedanta and Hindustan Zinc) and oil and gas PSUs (such as ONGC, BPCL, and IOC). Conversely, sectors like private banking, capital goods, pharma, and telecom are characterized by low yields.

Stocks with Higher/Lower Dividend Yields (20-Year Average):

Higher Dividend PayoutsYield (%)Lower Dividend PayoutsYield (%)
Vedanta6.45Kotak Mahindra Bank0.09
Hindustan Zinc5.55United Spirits0.29
ONGC4.25ABB India0.37
BPCL4.22UltraTech Cement0.45
Indian Oil Corp4.19Bharti Airtel0.56









Based on the sources provided, here is the reproduced article regarding the current state of the Indian steel industry and the impact of trade tariffs.

THE RED HOT STEEL-TARIFF TANGO

INFLECTION POINT: Steel stocks are hinged on safeguard duties to deliver everything from EBITDA margins to future expansion.

Market Performance and Drivers

Steel stocks have experienced a strong year, with returns for four major players ranging from 20 per cent to 45 per cent, significantly outperforming the Nifty50’s 9 per cent returns. The primary drivers for this performance have been strong domestic demand and stable raw material prices, even amidst a volatile global backdrop of trade disruptions and slowing growth. Industry participants are currently targeting higher capacity while maintaining stronger balance sheets compared to previous upcycles.

Demand Dynamics: Capex vs. Consumption

The demand outlook for the sector is a mix of government capital expenditure (capex) and public consumption. While the capex budget for FY25-26 remained flat at ₹11.2 lakh crore, the government appears to be shifting focus toward consumption. This shift is supported by:

  • Moderating Interest Rates: Rates fell 125 basis points in the last year, making debt financing cheaper.
  • Tax Relief: Moderated personal income taxes and reduced GST rates on sectors like cement are expected to boost cash surplus for consumers.
  • Sectoral Support: Stronger consumption in auto and real estate—the largest steel users—is expected to drive 8-9 per cent growth for the steel and cement sectors in FY27.

The Challenge of Chinese Exports

A critical monitorable for the sector is the worldwide tariff structure and Chinese steel exports. China, with a capacity of 1,000 million tonnes per annum (mtpa), accounts for over half of global production, compared to India’s 150 mtpa in 2025. Chinese exports have surged from 52 mtpa in 2020 to 120 mtpa in 2025, which consistently suppresses steel prices in India. Unless the Chinese economy and its real estate sector recover, this peak export scenario is expected to continue.

Tariffs as a Strategic Solution

To protect domestic manufacturers from cheap imports, India recently followed a global "tariff domino" effect. The government levied safeguard duties on steel imports from China and Vietnam for the next three years, starting at 12 per cent and gradually reducing to 11 per cent by FY28.

However, these tariffs are assessed in relativity; while India has a 12 per cent duty, the US and Europe have imposed duties as high as 50 per cent. This disparity may still leave India vulnerable to excess Chinese production diverted from more heavily protected markets.

Commodity Prices and Expansion Plans

In H1FY26, top steel firms reported an average realization growth of 0.8 per cent, the first such growth since prices peaked in FY22. While benign input costs for coking coal and iron ore supported an EBITDA margin of 15.7 per cent, these raw material prices are expected to stabilize or rise in the next year. This puts the focus squarely on tariff effectiveness to sustain stock momentum.

Major players are currently in an expansionary mode:

  • Tata Steel: Aims to expand capacity from 30 mtpa to 40 mtpa by 2030E. It is also anticipating a tariff-based uplift in its European operations due to upcoming CBAM (Carbon Border Adjustment Mechanism) regulations.
  • JSW Steel: Plans to reach 42 mtpa by September 2027 and is working to de-lever its balance sheet through a joint venture with Japan’s JFE Steel.
  • Jindal Steel: Targeting a 60 per cent growth in crude steel capacity, moving from 9.6 mtpa to 15.6 mtpa.
  • SAIL: Expansion plans have been announced but execution and debt reduction remain key areas for monitoring.

Based on the provided sources, here is the reproduced article regarding the profit margins of Indian corporations.

India Inc’s High Margins May Hit a Brick Wall

BOTTOM LINE: Part of the growth problem in India Inc’s revenue can be attributed to the lack of innovation and investments.

The Profitability Paradox

As January arrives, so does the "as long as the tail of Angada" budget wish-list from India Inc. While some sectors like textiles and chemicals require support due to tariff wars or dumping, the broader question remains: does India Inc need more incentives to invest when it already enjoys some of the highest profitability across major global economies?

At a pre-tax profit margin of 14.8 per cent and a post-tax margin of 11 per cent, the Nifty 50 ranks right next to the Dow Jones Industrial Average (DJIA). However, if the four dominant "Big Tech" firms (Apple, Microsoft, Nvidia, and Amazon) are excluded from the DJIA, its margins shrink to a 14 per cent pre-tax and 11 per cent post-tax level—putting India Inc on par with or even ahead of the US.

India’s margins are significantly superior to other major economies:

  • Germany (DAX 40): 8% pre-tax / 5% post-tax.
  • UK (FTSE 100): 11% pre-tax / 7% post-tax.
  • Japan (Nikkei 225): 10% pre-tax / 7% post-tax.

Even among broader indices, the Nifty 500 (13% pre-tax) holds its own against the S&P 493 (12.17% pre-tax), meaning that once the most innovative US tech companies are removed from the equation, India has the best pre-tax profit margins globally.

The Margin Trap

The challenge now is that high profitability often attracts competition, leading to mean reversion. As veteran fund manager Jeremy Grantham noted, profit margins are the most mean-reverting series in finance; if they don't revert, "something has gone badly wrong with capitalism".

Signs of this squeeze are already appearing:

  • FMCG: Net profit margins for Hindustan Unilever (17.3%) and Nestle India (14.2%) remain superior to their parent companies, but quick commerce is beginning to nibble away at these margins as brand clout over supply chains weakens.
  • IT Services: Larger players, obsessed with maintaining high margins, have lost market share to mid-cap players over the last five years.

The Revenue Growth Problem

India Inc’s revenue has only grown at a CAGR of approximately 10.5 per cent over the last six years (since pre-Covid FY19). This lack of aggressive revenue growth is tied to a lack of innovation and R&D investment.

For earnings to meet consensus projections of 15–17 per cent growth, profit margins would need to expand from 10.9 per cent to 11.4 per cent. Without revenue acceleration, this would require squeezing expenses—such as employee costs—or exercising more pricing leverage over households whose savings are already at multi-year lows.

Innovation as the Only Moat

The superior margins of the US indices are driven solely by Big Tech firms that dominate globally through the moat of intellectual property and scale.

  • IT Contribution to Profits: In the US (S&P 500), high-margin IT companies contribute 33 per cent of total profits.
  • India’s Mix: IT companies contribute only 8 per cent of Nifty 500 profits, while nearly 40 per cent is contributed by the highly cyclical financial services sector.

Without a push into R&D to unleash productivity and capture global market share, India Inc’s margins are likely to hit a brick wall. A prime example of this struggle is TCS, which has unsuccessfully aspired for 26–28 per cent EBIT margins for nearly a decade.

Investor Takeaway: With margins at near-peak levels, long-term wealth creation will depend on identifying companies that can scale through innovation rather than those sitting on high margins with limited moats that will eventually be driven down by competition.


Based on the sources provided, here is the reproduced article regarding the resilience of the mutual fund industry and the investment outlook for HDFC Asset Management Company (HDFC AMC).

Leading Play on MF Resilience Story

ASSET MANAGEMENT: Solid AUM growth, a steep rise in systematic transactions, and an expanding customer base are significant positives for HDFC AMC.

Market Context and Industry Resilience

The broader financial markets have remained in a state of flux for the past 16 months, driven by US trade tariffs, geopolitical escalations, and significant FPI outflows. While mid- and small-cap stocks have experienced periodic slides, the asset and wealth management segment has remained remarkably resilient, continuing to receive steady inflows.

The Indian mutual fund industry, now valued at ₹80.2-lakh crore, continues to grow at a healthy pace. In the last year, equity fund AUM rose 19.2 per cent to ₹58.7 lakh crore, while debt fund assets grew 21.9 per cent to ₹21.5 lakh crore. Notably, SIP AUM has surged 22 per cent over the past 12 months, reaching ₹16.6 lakh crore.

HDFC AMC: A Key Beneficiary

As the third-largest company in the mutual fund space, HDFC AMC managed ₹9.2 lakh crore as of December 2025. The company's stock has corrected approximately 18 per cent from its August 2025 high, currently trading at the ₹2,430-level. At this price point, the stock trades at roughly 31 times its projected earnings per share for FY27.

On a market-capitalization-to-AUM basis, HDFC AMC is available at around 11 per cent, representing a discount compared to the 13 per cent multiple of ICICI Prudential AMC. Given these valuation multiples, investors may consider accumulating shares from a three-year perspective, particularly during broader market declines.

Financial Performance and Operational Strength

HDFC AMC maintains some of the highest profitability metrics in the industry, with an EBITDA margin ranging between 77 per cent and 80 per cent. For the first nine months of FY26, the company reported:

  • Total Revenue: ₹3,556 crore (up 17 per cent year-on-year).
  • Net Profit: ₹2,236 crore (up 23 per cent year-on-year).

Despite regulatory efforts by SEBI to reduce mutual fund charges as asset sizes swell, HDFC AMC managed a revenue-to-average-AUM yield of 46 basis points. Its operating margin has remained stable or marginally increased at 36 basis points.

Growth Drivers and Dominance

The company’s strength lies in its diversified and large-sized fund offerings. Several of its schemes are category leaders, including HDFC Balanced Advantage (₹1.08-lakh crore AUM), HDFC Flexicap (₹96,295 crore), and HDFC Midcap (₹92,642 crore).

Other key performance indicators include:

  • Equity Mix: Equity assets now comprise 66 per cent of the company’s AUM, significantly higher than the industry average of 56.5 per cent.
  • SIP Growth: SIP AUM reached ₹2,21,200 crore in December 2026, growing at 24.5 per cent year-on-year, which outperformed the industry growth rate of 22 per cent.
  • Investor Base: Unique investors grew to 15.4 million, representing 26 per cent of the total industry.
  • Digital Efficiency: Operational costs remain low as 96 per cent of transactions are performed digitally.
  • Alternatives Expansion: AUM for PMS and AIF businesses increased from ₹5,000 crore to ₹8,400 crore in a single year, bolstered by new mandates from the EPFO.

Investment Verdict: ACCUMULATE Current Price: ₹2,433 Key Reasons: Higher share of better-yielding equity assets, an expanding SIP book, and solid operating margins.

Based on the sources provided, here is the reproduced article regarding the outlook for the major Indian stock indices.

More Pain Before Gain

INDEX OUTLOOK: Further fall is going to be a long-term buying opportunity.

Market Sentiment and FPI Activity

The Nifty 50, Sensex, and Nifty Bank index were all beaten down badly last week, proving previous suggestions of a bounce-back from support levels incorrect. The market sentiment is currently weighed down by trade tariff tensions and strong foreign money outflows.

Foreign Portfolio Investors (FPIs) have been on a selling spree for five consecutive weeks, pulling out approximately $1.21 billion from the equity segment last week alone. Total net outflows for January have reached about $3.72 billion, which is expected to keep continued pressure on the Nifty and Sensex.

Weekly Index Performance

All major and sectoral indices ended the week in the red:

  • Nifty 50: Down 2.5 per cent.
  • Sensex: Down 2.4 per cent.
  • Nifty Bank: Down 2.7 per cent.
  • Nifty Midcap 150: Down 4.4 per cent.
  • Nifty Smallcap 250: Down 5.5 per cent.
  • BSE Realty: Tumbled the most, falling 11.3 per cent.

Index-Specific Projections

Nifty 50 (25,048.65)

  • Short-term: Nifty has immediate support at 25,000 but remains vulnerable to a break that could lead to 24,300 or 24,000. Any corrective bounces are likely to be capped at 25,400 or 25,600.
  • Medium to Long-term: Crucial support is identified between 24,000 and 23,500. The bullish view remains intact unless Nifty declines below 23,500, with medium-term targets of 27,500–28,000 and long-term targets of 30,000–31,000.

Nifty Bank (58,473.10)

  • Short-term: Having broken the 58,650–60,450 range, the index is now negative and could fall to 58,000 or 57,600. A break below 57,600 could result in a steeper decline to 56,000 or 55,500.
  • Medium to Long-term: Strong support exists in the 54,000–53,800 region. Above this, the upside remains open to 63,000–63,500 (medium-term) and 68,000–69,000 (long-term).

Sensex (81,537.70)

  • Short-term: The picture turned negative after falling below 82,800. Potential declines to 80,000 or 79,500 are possible before a return to 82,000.
  • Medium to Long-term: Support at 79,500 is crucial. Broad targets remain 89,000–90,000 in the medium term and 98,000–99,000 in the long term.

Crucial Support Zones to Watch

IndexKey Support Levels
Nifty 5024,300, 24,000
Sensex80,000, 79,500
Nifty Bank58,000, 57,600

While the immediate charts look weak, the sources emphasize that from a long-term perspective, this fall is providing a very good buying opportunity.


Based on the sources provided, here is the reproduced article regarding US Treasury Secretary Scott Bessent’s comments on Indian trade tariffs.

Bessent Hints at Tariff Relief for India, Citing ‘Collapse’ in Russian Oil Inflows

OPTIMISTIC: Scott Bessent mentions a path forward for rolling back penalties, though New Delhi remains firm on its energy policy and strategic autonomy.

Potential Rollback of Tariffs

US Treasury Secretary Scott Bessent has signaled a potential rollback of the 25 per cent tariffs imposed on India as a penalty for purchasing Russian oil. Speaking in a media interview at the World Economic Forum in Davos, Bessent cited a “collapse” in New Delhi’s purchases from Moscow as the primary reason for the shift.

“The purchases of Russian oil by their refineries has collapsed, so that is a success," Bessent stated. "The 25 per cent Russian oil tariffs are still on. I would imagine there is a path to take them off".

Impact on India-US Trade Deal

Reversing these duties is seen as a critical step toward unlocking the long-stalled India-US bilateral trade agreement. Indian officials have previously indicated that negotiations cannot progress effectively while the 25 per cent penalty remains in place. Furthermore, the current tariff burden—which reached a cumulative 50 per cent for some sectors after duties were doubled in late August 2025—has left Indian exports highly uncompetitive against rivals such as Vietnam and Bangladesh, who face significantly lower rates.

Purchase Trends and Sanctions

While Bessent claimed purchases have collapsed, data and analytics from firms like Kpler suggest that while inflows have declined, they have not stopped entirely.

  • December Stats: India’s purchase of Russian crude declined 22 per cent to 1.38 million barrels per day following US sanctions.
  • January Stats: Imports averaged 1.18 million barrels per day during the first half of January.
  • Active Buyers: US sanctions have narrowed India’s purchasing pool to primarily Indian Oil, Nayara, and BPCL.

Sources tracking the matter note that while India has cut back on Russian oil and increased US energy purchases, it cannot officially stop all Russian imports due to its long-standing alliance with Moscow.

Criticism of European Refined Oil

During his remarks, Bessent also criticized European countries for buying refined petroleum products from Indian refineries that use Russian crude. He described this as an act of "irony and stupidity," arguing that by doing so, Europeans are indirectly financing the Russian war effort against themselves.

Current Monitoring

Despite the hints of relief, trade tensions remain high. New Delhi continues to monitor a proposed US Congressional Bill that could potentially hike duties to as high as 500 per cent. For now, India remains firm on its “India First” energy policy, prioritizing economic feasibility and strategic autonomy.


Based on the sources provided, here is the reproduced article regarding the shifting landscape of STEM fresher hiring in India.

STEM Fresher Hiring Takes a Hit as India Inc Scouts for Skilled Talent

India Inc is sharpening its focus on industry-ready, skilled talent over an expansive workforce, leading to a selective approach in entry-level hiring.

Hiring Projections and Trends

India Inc is currently cherry-picking freshers, particularly those with science, technology, engineering, and mathematics (STEM) backgrounds, as they seek talent that is immediately productive. A study by staffing firm TeamLease shows that while approximately 200,000 to 220,000 STEM freshers were hired in FY25, that number is projected to drop to little over 150,000 this fiscal year. This decline underscores a broader move toward leaner workforces with a primary focus on building AI strength and data analytics teams.

Higher Expectations for Graduates

The criteria for "fresher" roles have evolved, with startup founders noting that even new graduates are now expected to have immediate proficiency in cloud platforms, data pipelines, automation, and AI tools. Consequently, only 70-74 per cent of firms have plans to hire freshers this fiscal year. Neeti Sharma, CEO of TeamLease Digital, stated that there is a visible reset in tech hiring as companies move away from traditional volume coding roles in favor of AI-adjacent, data-first profiles.

Corporate Consolidation

Several companies are actively trimming their headcounts to prioritize strategic roles:

  • Leverage Edu: The edtech firm has reduced its staff to approximately 900 from a peak of over 1,400, focusing on deepening AI talent and senior business development.
  • CashKaro.com: The company is intentionally limiting new hires to focus on strategic roles such as UI, UX, customer experience, and data, specifically where AI utilization is high.

Entry-Level Salary Growth

While the volume of hiring has decreased, entry-level compensation for STEM roles is on the rise, reflecting the value of targeted skills.

  • Average STEM pay: Rose to approximately ₹4 lakh in 2025, up from ₹3 lakh in 2024.
  • Software and Data roles: These specialized profiles saw the highest increases, reaching ₹5 lakh annually in 2025 compared to ₹3.5 lakh in 2020.

Historical Context

STEM hiring has seen significant volatility in recent years. According to the TeamLease study, hiring slipped from 400,000 in FY22 to 230,000 in FY23, and further down to 150,000 in 2023-24. Although the last fiscal year saw a recovery of 15-18% driven by AI and cloud demand, the current fiscal year represents another reset as companies prioritize skill over scale.


Based on the sources provided, here is the reproduced article regarding the future of on-device artificial intelligence.

On-Device AI is the Way Ahead

How India and the Global South can circumvent the high walls of cost and connectivity of artificial intelligence.

By Jaspreet Bindra

The AI Barrier in the Global South

Developments in AI currently carry a sense of supersized inevitability: models grow larger, demonstrations become flashier, and venture capital reaching its limits. While this scale is primarily built in and for the developed world, there is a false pretense that it will simply "trickle down" to the rest of the globe.

In reality, AI adoption in India and the Global South is restricted by physics and geopolitics, including patchy connectivity, unreliable power, high latency, and the high costs of cloud computing. Furthermore, there is a growing unease regarding data sovereignty. This was underscored last year when Microsoft suspended services to Nayara Energy, reminding India that its utilities are often at the mercy of big tech companies following the laws of different nations.

The Shift to Edge AI

To overcome these hurdles, the focus is shifting from who has the largest model to who can deliver the most reliable results. The logical path forward is Edge AI, also known as on-device AI, which moves intelligence closer to where life happens rather than sending all data to the cloud.

On-device AI involves running models directly on a device—such as a phone, laptop, PoS terminal, or medical sensor—instead of shipping every transaction to a remote data center for processing. This follows a historical pattern of technology decentralization: from mainframes to PCs, and from servers to smartphones. Just as the Walkman allowed users to carry their own music rather than relying on a broadcaster’s radio signal, Edge AI makes intelligence faster and more private.

Key Advantages and Trade-offs

The benefits of on-device AI are particularly relevant for India:

  • Reduced Latency: Responses are near-instant because the model runs locally.
  • Offline Functionality: It works even without an internet connection, which is often the difference between adoption and abandonment.
  • Enhanced Privacy: Raw data remains on the device.
  • Lower Costs: Users avoid cloud inference fees for every interaction.

However, there are trade-offs: devices have limited memory, updates are more difficult to manage, and battery usage accelerates.

Better Chips, Better Models, Better Maths

Recent technological convergences have made on-device AI more practical. Mobile processors are now increasingly equipped with dedicated neural processing units (NPUs) designed specifically for AI tasks. Simultaneously, the industry is moving toward Small Language Models (SLMs), such as Microsoft’s Phi and Google’s Gemini Nano, proving that a trillion parameters aren't always necessary for intelligence. Techniques like quantisation (compressing models) and distillation (training small models to mimic large ones) allow "good enough" intelligence to fit into smaller devices.

Inclusive AI and Real-World Use Cases

Constraints can act as a "design superpower," forcing practicality over scale. Potential applications for smarter, smaller devices include:

  • Frontline Tools: On-device translation and voice assistance in local Indian languages.
  • Education: Offline tutoring and personalized learning on low-cost tablets.
  • Infrastructure & Finance: Real-time visual inspection of pipelines and fraud detection on PoS devices in areas with low connectivity.
  • Healthcare: Triage support tools to guide village nurses.

The Way Ahead: A Hybrid Future

The most effective strategy is a hybrid approach. Routine, frequent, and privacy-sensitive tasks should be handled by the device, while heavy reasoning or large contexts are escalated to the cloud. This hybrid architecture offers the best of both worlds: local speed and resilience combined with cloud-based depth and scale.

India should prioritize local-language models optimized for device deployment, as language represents the "last mile" of AI inclusion. Treating edge-ready innovation as a national advantage will allow India to lead with solutions that work not only in Bihar but also in regions like Kenya or Indonesia. While the cloud remains irreplaceable, real AI democratization will only occur when it moves onto the device.


Pulp Diction

Seven podcasts to indulge the bibliophile in you, or to help you discover your next read.

The Crisis of Reading

Reading rates are currently on the decline. A recent study conducted in the US revealed that the number of people reading for pleasure has nearly halved over the last two decades. Simultaneously, average reading scores for students are plummeting, largely attributed to the myriad of digital distractions competing for limited human attention. However, for those who still enjoy a good book, several podcasts offer critical analysis, recommendations, and strategies to break through reader's block.

The Recommended Podcasts

  • What Should I Read Next?: Best described as a “literary matchmaking podcast,” this show is hosted by Anne Bogel, creator of the ‘Modern Mrs Darcy’ blog. Bogel interviews guests about their specific habits and pet peeves to provide tailored recommendations. A recurring theme is the importance of prioritizing what you actually love to read rather than chasing literary prestige or social media trends.
  • Backlisted: Hosted by author Andy Miller and publisher John Mitchinson, this podcast aims to “give new life to old books.” It focuses on overlooking or underappreciated non-contemporary titles, exploring their historical context, legacy, and specific passages to introduce listeners to hidden gems and new perspectives on classics.
  • If Books Could Kill: This series features delightfully snarky takedowns of popular non-fiction bestsellers often found in airports, such as self-help, pop psychology, and financial advice. Hosts Michael Hobbes and Peter Shamshiri deconstruct these "mass-market juggernauts" that are often laden with pseudoscience and questionable data, exploring how they feed into harmful cultural narratives.
  • Reading Glasses: This show is dedicated to optimizing the literary life, focusing as much on the logistics of reading as the books themselves. Hosts Brea Grant and Mallory O’Meara discuss how to overcome reading slumps, utilize local libraries, and give up on books without guilt. They also review reading technology, such as e-readers and reading lights.
  • Lolita Podcast: Comedian Jamie Loftus provides an immersive breakdown of Vladimir Nabokov’s 1955 novel Lolita. The podcast explores the troubling gap between the author's intent and the novel's reception, specifically how the abusive central relationship has been romanticized in male-directed adaptations and literary criticism.
  • Literature and History: Host Douglas Metzger presents a chronological history of civilization told through literature, beginning in ancient Sumeria and moving through Egypt, Greece, and Rome. The show remains accessible to non-academics while providing deep sociocultural context for ancient texts like the Egyptian Book of the Dead and the Odyssey.
  • Currently Reading: Best friends Meredith Monday Schwartz and Kaytee Cobb deliver weekly episodes devoted to the pure pleasure of reading. They discuss their recent reads and offer practical advice on topics like reading while sick or performing a "bookshelf purge." The feed also includes a mini-series, Popcorn in the Pages, which reviews movie adaptations of classic books.

Based on the sources provided, Indian supper clubs differ from traditional restaurant dining primarily through their focus on intimacy, social connection, and pace.

The following comparisons highlight the differences between the two dining formats:

Intimacy and Setting

  • Private Spaces: Unlike restaurants, which are commercial venues, supper clubs are often hosted in private homes. They are designed to feel like an invitation into someone's home rather than a managed venue.
  • Small Scale: Supper clubs are small by design, typically hosting between 8 and 15 guests. Some, like Kolkata's Marinate, cap their tables at just six strangers to encourage deeper conversation.

The Social Experience

  • Connection Over Cuisine: While food is the anchor, the primary "pull" of a supper club is conversation and community. As noted by one host, "restaurants are built for turnover," whereas "supper clubs are built for time".
  • Eating Together vs. Eating Out: Supper clubs focus on the act of eating together with strangers, whereas traditional restaurants often provide little room for conversation beyond one's own table.
  • Disarming Guests: To facilitate friendships, some clubs use small games or storytelling to disarm strangers. Courses may arrive with specific context, music, and mood-setting to share regional stories.

Atmosphere and Intent

  • Slow Dining: Supper clubs are "slow by intent". Guests often linger long after the last course is cleared, participating in gestures like bringing gifts or walking fellow diners to the metro—behaviors more common at a friend's house than a business establishment.
  • Lower Performance Pressure: They provide a "third place" for those tired of noisy pubs or rushed restaurants. They offer a way to meet people without the performance pressure found in networking or dating.

Economics and Access

  • Cost and Prep: Pricing typically ranges from ₹1,000 to ₹4,500 per person. Hosts argue that while this may seem high, it covers nearly a week's worth of planning, multi-course meals, and the use of a private space.
  • Guest Screening: Unlike the open access of a restaurant, supper club hosts often screen guests through social profiles, referrals, or waitlist forms to protect the table's dynamics and ensure safety.
  • Volume vs. Intimacy: Hosts generally resist scaling up or increasing volume, as they believe chasing higher numbers of guests would turn the table into a transactional event and break the intimate format.