Newspaper Summary 170626

 

Tata Motors FY26 free cash flow ‘negative’ on JLR woes

Amit Vijay Mohile Mumbai

Tata Motors reported negative free cash flow of ₹26,823 crore in FY26, compared with positive free cash flow of ₹22,236 crore a year earlier, as challenges at Jaguar Land Rover (JLR) weighed heavily on the group’s finances. The company’s consolidated balance sheet moved from a net cash position of ₹1,018 crore to net debt of ₹30,710 crore, reflecting weaker cash generation at JLR and continued investment across the business.

ANNUAL REPORT

Despite the financial pressure, Tata Motors maintained a strong investment programme, committing ₹36,236 crore in capital expenditure and ₹34,562 crore in research and development during the year, according to its 81st Integrated Annual Report. The biggest drag on performance came from JLR, where a cyber incident led to a five-week production shutdown and tariff-related pressures affected key export markets.

Wholesale volumes declined 23.2 per cent year-on-year to 307,915 units, excluding the China joint venture, while revenue fell 20.9 per cent to £22.9 billion from £29 billion in FY25.

The impact was visible at the group level. Consolidated revenue stood at ₹3,35,582 crore, while profit before tax before exceptional items dropped sharply to ₹2,519 crore from ₹28,650 crore a year earlier. Even as profitability weakened, Tata Motors continued to invest in future products and technologies.

Intangible assets under development, covering vehicle programmes and technologies across JLR and Tata Motors Passenger Vehicles, rose to ₹76,154 crore as of March 31 from ₹48,182 crore a year earlier.

“Rapid global advances in digital technologies and AI are transforming how mobility products are designed, experienced and supported,” said Chairman N Chandrasekaran in his message to shareholders. He noted that clean-energy transition, safety requirements and supply-chain shifts are reshaping competitiveness in the global auto industry.

RECOVERY SIGNS

There were signs of recovery towards the end of the year. Following the resumption of production, Q4 revenue reached ₹1,05,447 crore and profit before tax before exceptional items improved to ₹7,167 crore.

While JLR struggled, Tata Motors’ domestic passenger vehicle business provided support. Revenue rose 20.7 per cent to ₹58,465 crore and profit before tax before exceptional items increased 32.6 per cent to ₹1,436 crore. Electric vehicle sales climbed 43.4 per cent to 92,179 units, helping the company retain a 40.2 per cent share of India’s EV market.

Meeting on G7 sidelines, Modi and Trump to discuss FTA, sailors’ deaths

Amiti Sen New Delhi

When US President Donald Trump meets Prime Minister Narendra Modi on the sidelines of the G7 summit in Evian, France, on Wednesday, the push for an expeditious conclusion of the India-US interim trade deal will take centre stage. However, New Delhi will still wait to ensure that sticky issues, including the US’ penal tariffs on Indian exports and India’s competitive edge over rivals, are satisfactorily addressed.

“India is in favour of an interim deal but it has to first know what the US tariffs on its goods would be. Moreover, the deal has to be such that it gives Indian exporters a guaranteed edge over competitors such as Vietnam, Bangladesh and Indonesia. The Modi-Trump meet will at best result in an exchange of good intentions on the deal,” a source tracking the matter told businessline.

KEY ISSUES Significantly, the leaders, who will meet face-to-face after 16 months, are also expected to discuss the situation in West Asia in the light of the recent killing of three Indian sailors by US forces in the Gulf of Oman and the proposed US’ deal with Iran to end the war and the Strait of Hormuz blockade. Other issues likely to be taken up include partnership in critical minerals and securing supply chains, increased trade in energy, co-operation in AI and digital infrastructure, and securing navigation.

SJM’S ANGER There is pressure on Modi from several quarters, including Opposition leaders, bodies such as the seafarers’ association and family members of the victims, to take up the matter with Trump.

Swadeshi Jagran Manch (SJM), the economic wing of the RSS (the ruling BJP’s ideological mentor), lashed out against the US action that resulted in the mariners’ deaths, in a letter to the US Ambassador to India Sergio Gor on Monday.

“These incidents have sent a wave of disbelief and anger among the people of India. US administration added insult to injury by an insensitive and irresponsible response, hurting Indian sentiments further, who had always considered US to be a great friend... It is a serious violation of the international law governing the seas, armed conflict and human rights,” wrote Ashwini Mahajan, Co-convenor, SJM.

Centre’s foodgrain reserves at a record high as El Nino threatens kharif production

Prabhudatta Mishra New Delhi

Foodgrain reserves in the Central Pool surged to a record high of 122 million tonnes (mt) as of June 1. Equal to the country’s entire annual rice consumption, this massive stockpile gives the government a critical buffer just as El Nino risks disrupting the 2026 kharif crop.

Given that the country’s free foodgrain schemes for over 80 crore beneficiaries require an annual offtake of 56 mt (based on 2025-26 data), the current reserves are sufficient to comfortably sustain these welfare programmes for at least two years.

“The stock in the Central Pool, although higher than requirement, assures the country of food security. There is no cause of concern as far as basic food availability is concerned even if the monsoon is below normal. The stocks can also be off-loaded under the open market sale scheme to bulk consumers, including State governments,” said Union Food Secretary Sanjeev Chopra.

OMSS PROGRAMME

What Chopra is saying suggests that the Centre may release grains to the States for bulk consumers under the Open Market Sale Scheme (OMSS). Despite the “below normal” monsoon forecast, at 90 per cent of the long period average, the government is targeting a kharif foodgrain production during 2026-27 of 176.16 mt, against the actual output of 176.04 mt in 2025-26.

The target for 2026-27 also includes 123.15 mt of rice, 8.4 mt of pulses, 28.92 mt of oilseeds, 13.56 mt of nutri cereals and 31.04 mt of maize.

“We may need higher allocation under OMSS also to check food inflation. So, the allocation of rice for ethanol at highly subsidised price of ₹2,320 per quintal needs to be drastically reduced from about 5.2 mt announced earlier,” said former Agriculture Secretary Siraj Hussain.

FIA backs SEBI’s options strike framework

Our Bureau Mumbai

The Futures Industry Association (FIA) has stated that SEBI’s proposal to allow exchanges to add strike prices in line with market movement will improve price discovery and risk management for participants.

“We support the proposal to introduce new strikes intra-day in the direction of price movement. This would address a long-standing operational and risk-management issue for market participants,” the FIA said in its submission to the regulator.

STRIKE PREDICTABILITY

The association, which represents clearing firms, exchanges, trading firms, and other derivatives market participants globally, noted that the framework would improve the predictability and availability of option strikes, especially during periods of heightened volatility. It added that a consistent approach across exchanges would enhance operational efficiency.

However, the FIA emphasized that the effectiveness of this framework depends on a “high degree of consistency” in implementation. It recommended that SEBI prescribe minimum common standards for:

• Strike publication timing and terminology.
• File formats and intra-day notification protocols.
• Transparency in strike addition rules.
• Uniform minimum requirements on the range and number of in-the-money (ITM) and out-of-the-money (OTM) strikes across products.

Without these standards, the FIA warned that exchange-level discretion could lead to uneven outcomes and increased operational complexity.

MARGIN EFFICIENCY

A primary concern for the association relates to existing positions. The FIA cautioned against removing or disabling strikes where open interest continues to exist, as this could force participants into inefficient exits.

“If a strike is purged, disabled, removed or otherwise made unavailable while open interest remains, participants may be left with exercise or expiry as the only practical means of exit,” the association stated.

It recommended that these strikes should remain available for trading, hedging, or closing out positions until open interest is extinguished. This approach would avoid unnecessary margin lock-ups and preserve risk management flexibility.

The FIA further suggested that intra-day strike additions be disseminated via existing automated exchange channels, such as FIX and binary market data feeds, to ensure seamless integration into trading systems without manual intervention.

Finally, the association called for an annual review mechanism for strike frameworks involving market participants and suggested that SEBI provide a reasonable transition period for implementation so that systems and processes can be properly upgraded.

‘India’s 5G subscription to reach 1.1 b by 2031’

S Ronendra Singh New Delhi

5G subscriptions are expected to reach more than 1.1 billion by the end of 2031, reaching 81 per cent subscription penetration as adoption in the country continues to grow rapidly, according to the Ericsson Mobility Report (EMR) released on Tuesday.

The growth is driven by the availability of affordable 5G-enabled smartphones and devices, expanded network coverage across almost all districts, and the increasing rollout of 5G fixed wireless access (FWA) services.

The report stated that 5G subscriptions reached 430 million at the end of 2025, accounting for 35 per cent of total mobile subscriptions. While 4G remains the dominant technology at 46 per cent, subscriptions are forecast to decline from around 570 million in 2025 to nearly 160 million by 2031 as users migrate to 5G.

GLOBAL LEAD

India continues to lead globally in mobile data consumption per smartphone, with average monthly usage already at 37 GB and expected to nearly double to 70 GB by 2031.

“India’s rapidly growing 5G adoption based on enhanced mobile broadband and 5G FWA is transforming consumer experiences. The robust and secure 5G infrastructure in the country is driving inclusion, governance and innovation at scale, and is serving as a powerful foundation for digital India,” said Nitin Bansal, Managing Director, Ericsson India.

NETWORK SLICING

In a significant development, a service provider (Bharti Airtel) in India recently launched differentiated connectivity services based on network slicing for its postpaid 5G customers, signalling the evolution of advanced 5G use cases in the market.

The June 2026 report covered the same period (2025-2031) as the November 2025 edition, but with updated statistics and forecasts. It further noted that global 5G mobile subscriptions passed the three-billion mark during the first quarter of 2026. This global figure is expected to grow rapidly and is forecast to more than double to 6.4 billion by the end of 2031.

Western Europe, North America, North-East Asia and the GCC countries are forecast to have 5G mobile subscription adoption close to, or above, 90 per cent by the end of 2031.

6G OUTLOOK

The report also touched upon the future, stating that the first implementable 6G specifications are expected to be finalised by the end of 2028 or early 2029. The first commercial 6G services are expected to follow around 2030, with the US, China, Japan, South Korea and the GCC countries expected to be early adopters.

‘Poor data quality is hurting AI ambitions’

Vallari Sanzgiri Mumbai

Low quality of data is the biggest hindrance in the enterprise leap from pilot stage AI-systems to production ready AI agents, said Anand Ramamoorthy, Director APAC Data Governance and Quality at Informatica from Salesforce, in an exclusive conversation with businessline.

Following the company’s Data and AI Summit in Mumbai on June 11, Ramamoorthy said many enterprises had voiced concern about the quality of their data, with one company flagging 73 per cent of its data as “bad”.

DATA GOVERNANCE

“Data quality is the biggest impediment to translating these agents that you’re building to make it production-ready. It’s critical to have a data governance capability. The problem is the manual effort slows things down. So, even though it’s critical, they lose patience thinking that they’re not getting the value,” said Ramamoorthy.

Despite this hurdle, Ramamoorthy pointed out that traditional data management norms expect humans to be in the loop of workflows or in the interpreting of data. This means that the context when using data needs to be set by a human that can understand nuance rather than an AI agent that is liable to hallucinate.

“Data itself is not always incorrect. It is sometimes ambiguous, depending on the usage, the interpretation can be different. So, when you apply the agents on top of that, it amplifies that problem. That can lead to hallucination, the outcomes can be different,” he said.

THREE KEY PILLARS

To address these concerns, Ramamoorthy suggested three key pillars in the world of agentic AI:

• Machine readable metadata with trusted context.
• AI-ready data products.
• AI-assisted data stewards that take up the task of providing governance policies around ownership, accountability, definitions, etc.

“It’s about how do we unlock the value of these data stewards who are good at functional and business-oriented conversations. How do we instil that into the manual effort rather than focus on mundane, repeatable manual tasks?” he said.

‘States’ own taxes grow to more than half of total revenue receipts’

Shishir Sinha New Delhi

The share of States’ own tax revenue in their revenue receipts grew to over 50 per cent during FY25 but with lower buoyancy, said the office of the Comptroller & Auditor General (CAG) in its report on State finances. Meanwhile, the States are getting more from the Centre as part of devolution.

CAG K Sanjay Murthy released the third edition of the Publication on State Finances 2024-25 on Tuesday. According to the report, States Own Tax Revenue (SOTR), the largest component of revenue receipts, increased significantly in absolute terms and its share to 50.13 per cent in FY25 from about 49.55 per cent in FY24.

However, its buoyancy — the ratio of change in tax revenue in relation to change in gross state domestic product — weakened to 0.67 in FY25 over 0.92 of FY24 and 1.43 of FY23. During FY25, the top seven States whose SOTR contributed up to 60 per cent of revenue receipts were Gujarat, Haryana, Karnataka, Kerala, Maharashtra, Tamil Nadu and Telangana. On the other hand, Arunachal Pradesh, Manipur, Mizoram, Nagaland, Sikkim and Tripura had SOTR of less than 20 per cent of their total revenue receipts. The average annual growth of SOTR of all the States combined was 11.05 per cent during the period 2018-19 to 2024-25.

UDAY IMPACT

According to the report, in FY25, capital expenditure of ₹8.49 lakh crore constituted 16.59 per cent of the total expenditure by the States, the remaining 83.41 per cent being revenue expenditure.

During the 10-year period, a spurt in share of capital expenditure was evident in FY 2015-16 and FY 2016-17. “The rise in capital expenditure during these two financial years was mainly driven by States investing in the equity of State power undertakings and by the extension of loans to power utilities, following the takeover of 75 per cent of the debt of State-owned power distribution companies by 14 State governments under the Ujwal Discom Assurance Yojana (UDAY),” the report said.

SHARE OF SUBSIDIES

On an average, capital expenditure of the States has remained in the range of 13–20 per cent of the total budgetary spending in the 10-year period of FY16 and FY25.

The report highlighted that subsidies at ₹4.37 lakh crore was one of the major components of revenue expenditure in several States. The principal subsidy outgo was to energy utilities and agriculture. The decadal trend shows that in most years the share of subsidy expenditure has been in the region of 8-10 per cent of the total revenue expenditure of all States combined.

On liabilities, as on March 31, 2025, there was a wide variation from 15.79 per cent of GSDP in case of Odisha to 52.84 per cent of GSDP in case of Arunachal Pradesh. During the period FY16 to FY25 as a percentage of GSDP, total liabilities increased to 27.89 per cent from 24.19 per cent. In FY25, all States were in fiscal deficit ranging from 1.66 per cent of GSDP in the case of Goa to 8.69 per cent in Meghalaya.

TRENDS IN STATES’ EXPENDITURE

• Committed + Subsidies + GIA Salary: ₹26.12 lakh crore (61.17% of revenue expenditure).
• Subsidy growth: Grew 214 per cent from ₹1.39 lakh crore in FY16 to ₹4.37 lakh crore in FY25.
• Growth parity: Both revenue and committed expenditure grew 137 per cent.
• Committed expenditure: 14 States had committed expenditure more than 50 per cent of their revenue expenditure.

Beyond the wage: Building a workforce for Viksit Bharat

R Balasubramaniam

Ravi, a young worker in Coimbatore, six months into his first formal job at a small manufacturing unit, recently received credit of ₹7,500 in his bank account, separate from his monthly salary. The amount was disbursed automatically following completion of six months of continuous employment. His family had previously been engaged only in informal work, without contracts, provident fund contributions or any documented record of employment, and this was the first occasion on which his employment had been formally recorded and accompanied by a benefit of this kind.

The payment he received is his first installment under Part A of the Pradhan Mantri Viksit Bharat Rozgar Yojana (PM-VBRY), introduced in the Union Budget 2024-25 as part of the Prime Minister’s Package for Employment and Skilling. Under this provision, first-time employees joining EPFO-registered establishments with monthly earnings below ₹1 lakh receive a cash incentive of up to ₹15,000, disbursed in two installments, the first after six months of work and the second after twelve months. The payment is made via direct benefit transfer, linked to the worker’s Universal Account Number on the EPFO portal, and deposited into a savings instrument to build a financial cushion for the worker.

For Ravi, these six months were not merely a qualifying period. They were the months in which he gained familiarity with his workplace, acquired the basic skills of his trade and began to build an employment record where none had existed before.

BENEFITING SMALL BIZ

This period mattered for his employer too, a small manufacturing unit that had taken him on as part of its expansion. Part B of PM-VBRY provides that employers who create employment above their existing baseline receive a government contribution of up to ₹3,000 per additional employee per month, over two years across sectors and over four years in manufacturing. The contribution offsets part of the cost that a firm bears in the early months of a new hire, when onboarding and training are underway and a worker without prior formal experience is still becoming productive.

By easing this initial cost, the provision extends the scheme’s reach to small businesses of the kind that employed Ravi. For a country with India’s demographic profile, a young and growing workforce presents an opportunity to drive economic growth through employment-led development toward a Viksit Bharat by 2047. The extent to which new entrants enter formal employment, with access to social security and institutional protections, will influence how the benefits of growth are experienced across households and communities. PM-VBRY aims to strengthen the bridge from Swatantra Bharat to Samriddha Bharat and seeks to incentivise the creation of more than 3.5 crore formal jobs over two years.

Since becoming operational, 60 lakh first-time employees have joined the formal workforce through the scheme. Of these, 43.26 lakh, nearly 71 per cent, are in the 18 to 30 age group, and 18.04 lakh, close to 30 per cent, are women entering formal employment for the first time. These workers span expert services, engineering, trading, construction, education, healthcare, textiles and hospitality, reflecting uptake across a wide spread of formal establishments.

SOCIAL SECURITY

Beyond the incentive itself, what Ravi has gained is access to a broader net of social security — through provident fund contributions, insurance protections and statutory employment benefits. For many first-time formal workers like him, this represents an entry into social security coverage and a structured employment relationship. The six-month continuous employment condition is intended to ensure that jobs created under the scheme translate into genuine career foundations. Sustained formal employment builds transferable skills, instils professional norms and strengthens future employability, generating benefits that extend beyond the period of support provided under the scheme.

The creation of employment opportunities is an important policy objective. Equally important is ensuring that workers like Ravi are able to establish a sustained presence within the formal economy, where employment is accompanied by social security coverage and institutional protections.

As more workers complete six months, a year, and beyond in formal jobs, a larger share of the workforce enters the social security net, and small establishments build the habit of formal hiring. With more than 3.5 crore jobs projected under the scheme, this gradual widening of the formal economy represents a critical step toward building a workforce capable of powering India’s development journey.

In a first, US pips Qatar as India’s largest LNG supplier during March-May

Rishi Ranjan Kala New Delhi

The first 90 days of the West Asia conflict significantly altered India’s liquefied natural gas (LNG) imports trade, albeit in the short term, with the US emerging as the largest supplier for the first time, piping Qatar.

Data from Kpler show that during the March-May 2026 quarter, Washington supplied 1.5 million tonnes (mt) of LNG to India, compared to a mere 0.1 mt by Qatar. This is against Qatar supplying 3 mt during March-May 2025 against 0.5 mt by the US.

The global real time data and analytics provider pointed out that LNG imports weakened in March 2026 before recovering in April-May. Qatar’s share dropped sharply in recent months, while the US, Oman, Nigeria and Angola became more important sources of supply.

CUMULATIVE IMPORTS

India’s cumulative LNG imports for the first 90 days (March-May 2026) stood at 5.8 mt, a decline of 6.5 per cent on an annual basis.

In terms of import share, Washington surged to the top, accounting for more than one-fourth (25.86 per cent) of India’s cumulative LNG imports during March to May this year, compared to a little over 8 per cent in the year-ago period. On the other hand, Qatar’s share slipped from more than 48 per cent during March-May 2025 to just 1.72 per cent during March-May 2026.

The conflict also significantly impacted the share of top suppliers in West Asia (Qatar, the UAE, Saudi Arabia and Kuwait), which fell to 29.31 per cent in March-May 2026 from a whopping 74.2 per cent a year ago. Asian buyers were forced to secure higher-priced volumes to offset disrupted long-term LNG deliveries from Qatar and the UAE.

In March–April 2026, nearly 100 spot cargo tenders were issued in Asia, up from 89 in the same period in 2025, with India issuing tenders for 44 cargoes, double a year earlier, the Gas Exporting Countries Forum (GECF) said.

KEY SUPPLIER

Analysts and trade sources said that Washington emerged as the key balancing actor in the global LNG market after the West Asia conflict led to closure of the Strait of Hormuz (SoH), effectively choking half of India’s natural gas requirement.

As per Gastech, the world’s fourth-largest importer of LNG purchased 27 mt of LNG in FY25, of which 11.2 mt were sourced almost entirely from Ras Laffan. The attack on QatarEnergy’s Ras Laffan facility by Iran in April caused wide-scale damages and choked almost half of India’s LNG consumption. For comparison, about 93 per cent of Qatar’s and 96 per cent of the UAE’s LNG exports transited through the SoH, representing almost one-fifth of global LNG trade in 2025. There are no alternative routes to bring these volumes to market, said the International Energy Agency (IEA).

In 2025, Ras Laffan produced 112 billion cubic metres (bcm) of LNG, as well as 300,000 barrels per day of liquefied petroleum gas (LPG) and 180,000 barrels per day of condensate, the IEA said.

The GECF said that US LNG exports increased by 2.4 mt and 1.6 mt year-on-year in March and April 2026, respectively, supported by the ramp-up of production at recently commissioned LNG facilities. While Europe remained the largest destination, incremental volumes were increasingly redirected to Asia, reflecting tighter regional balances and stronger price signals in Asian spot markets. Destination flexibility of US LNG enables off-takers to redirect cargoes to markets offering the highest netback prices, enhancing short-term supply responsiveness, it added.

INDIA'S LNG IMPORTS (MARCH-MAY 2026 VS MARCH-MAY 2025)

Country	March-May 2026 (mt)	Import Share (%)	March-May 2025 (mt)	Import Share (%)
US	1.5	25.86	0.5	8.07
Oman	1.4	24.14	0.5	8.07
Nigeria	1.3	22.41	0.5	8.07
Angola	0.9	15.52	0.1	1.60
UAE	0.2	3.45	1.1	17.74
Qatar	0.1	1.72	3.0	48.39

Source: Kpler; MT: Million Tonnes; %: Percentage Share

Ageing population and rising debt could push TN towards a fiscal trap, warns White Paper

Sindhu Hariharan Chennai

Tamil Nadu’s fiscal position has deteriorated sharply since 2021, marked by rising debt, record revenue deficits, slowing growth in own-tax revenues and mounting committed expenditure, according to a White Paper on State finances released by the newly elected TVK government on Tuesday.

The report identifies plugging revenue leakages through better administration as a key priority even as the government seeks to restore fiscal health while honouring its welfare-oriented electoral commitments. Releasing the report, Finance Minister N Marie Wilson said the deterioration for fiscal correction was particularly urgent as Tamil Nadu is ageing faster than any other large State, leading to a shrinking tax base and rising social security and healthcare obligations.

6 KEY FINDINGS

Among its six principal findings, the report noted that Tamil Nadu’s total debt was projected to cross ₹10 lakh crore in FY26. Including off-Budget liabilities, contingent liabilities and guarantees, the State's total fiscal exposure had risen to ₹13.18 lakh crore.

The debt-GSDP ratio stood at 28.3 per cent, remaining consistently elevated and higher than that of peers. Furthermore, committed expenditure had risen from about 60 per cent of revenue receipts to 64 per cent, leaving limited fiscal space for capital expenditure.

REVENUE DEFICIT

The White Paper estimated the revenue deficit in FY26 at 2.22 per cent of the GSDP, the highest in six years and, in absolute terms, higher even than during the Covid-hit FY21. This deficit is estimated to be approximately 2.5 times that of Karnataka and Maharashtra.

According to the report, the widening revenue deficit since FY23 is attributable to the introduction of new recurring expenditure commitments without corresponding revenue mobilisation, the deferral of certain own-tax reforms, and other structural fiscal pressures.

PEER COMPARISON: OUTSTANDING DEBT AND LIABILITIES (AS % TO GSDP)

State	2021-22	2025-26 RE
Tamil Nadu	28.8	28.3
Karnataka	23.8	23.4
Maharashtra	19.8	19.7
Gujarat	19.3	17.6

Source: White Paper on the Fiscal Management of Tamil Nadu

Regulating the Digital Frontier: Evidence from Online Adult Content

 The regulatory context for online adult content is part of a broader global trend where governments are increasingly targeting digital platforms to restrict access to content, often motivated by concerns regarding addiction, misinformation, or harms to minors. This larger landscape of online activity regulation includes diverse efforts such as China’s broad censorship regime, targeted bans on specific platforms like TikTok in India or Twitter/X in Brazil, and social media restrictions for minors in Australia.

Within this broader environment, the regulation of online pornography in the United States has recently shifted toward state-level age verification mandates, which represent some of the most aggressive attempts to regulate online content in the country.

The U.S. Regulatory Framework

The current regulatory push began in earnest with Louisiana’s House Bill 142 on January 1, 2023, which established a template subsequently adopted by 24 additional states. Key features of this regulatory model include:

• Verification Requirements: "Commercial entities" that distribute material "harmful to minors" on websites where such content constitutes a "substantial proportion" must implement reasonable age verification methods. These methods typically involve uploading a government-issued ID, providing credit card information, or using biometric tools like facial recognition.
• Enforcement and Penalties: Enforcement primarily occurs through the court system, where state attorneys general or private individuals can sue non-compliant websites. Penalties for failure to comply are substantial, often reaching thousands of dollars per day of violation.
• Legal Precedent: While previous attempts to protect minors from online obscenity were struck down (e.g., Reno v. ACLU in 1997), the legal landscape shifted in June 2025 when the Supreme Court upheld Texas's age verification law in Free Speech Coalition, Inc. v. Paxton, affirming the government's interest in protecting minors.

Regulatory Challenges and "Leakage"

The sources highlight that regulating online activity presents unique challenges not found in offline markets, leading to various forms of "leakage" that can mute a policy's impact:

• Platform Non-compliance: Dominant sites like Pornhub have chosen to block access entirely in many states to lead legal battles and avoid public relations crises. Conversely, other major competitors like XVideos and XNXX, headquartered abroad, have continued to operate without verification requirements, relying on the practical difficulties of cross-border enforcement.
• Technological Circumvention: Digital consumers can often bypass state-level restrictions using Virtual Private Networks (VPNs) to mask their location. The sources find that roughly 30% of pre-restriction browsing time persisted through such circumvention.
• Alternative Paradigms: Due to these challenges, some proponents—including Pornhub’s parent company, Aylo—advocate for "device-based" age verification. In this model, smartphones or computers would collect and transmit verified age information directly to websites, potentially reducing VPN-based evasion, though this would not prevent users from substituting to non-compliant sites.

Ultimately, the effectiveness of these regulations depends heavily on the ease of technological circumvention and the availability of non-compliant substitutes, factors that policymakers must consider when designing digital regulations for any content category.

Platform responses to age verification laws vary significantly, often dictated by a site's market position, geographic location, and history of legal scrutiny. In the broader context of regulating online activity, these diverse responses create a fragmented landscape that significantly affects the efficacy of any given policy.

The sources identify three primary categories of platform response:

1. Total Access Blocking

The most prominent response was led by Pornhub, the world's most visited adult website, which chose to block access entirely for all users (both adults and minors) in most states that enacted these laws.

• Motivations: The sources suggest Pornhub chose this "aggressive" stance to lead the industry's legal battle against the mandates and to avoid high-profile public relations crises, especially given its history of scrutiny regarding content moderation.
• Legal Strategy: By blocking access, the company could more clearly challenge the laws' constitutionality without risking the massive daily fines (up to $5,000–$10,000 per violation) stipulated in state legislation.

2. Active Compliance

Other platforms chose to remain accessible by implementing the "reasonable age verification methods" required by the laws.

• Mechanism: These sites typically utilize third-party verification providers to handle government-issued IDs, credit card data, or biometric age estimation (such as facial recognition).
• Rationale: This approach allows sites to maintain their user base and revenue streams in regulated states while shifting some of the legal and data-privacy risks to specialized verification firms.

3. Strategic Noncompliance

The sources highlight that a major portion of the adult content market—notably XVideos and XNXX, the second and third most visited sites—chose not to implement any verification systems.

• The "Enforcement Gap": These sites often rely on the practical difficulty of cross-border enforcement. For instance, Pornhub’s parent company (Aylo) is based in Canada, while the parent company of XVideos and XNXX (WGCZ Holding) is based in the Czech Republic, creating jurisdictional hurdles for state attorneys general.
• Impact on Regulation: This noncompliance is a primary driver of "leakage." The study found that 49% of pre-law browsing time was spent on websites that never restricted access, meaning nearly half of the regulated activity continued completely unaffected by the new laws.

Implications for Online Regulation

These varied platform responses demonstrate the difficulty of regulating a global digital frontier with local laws. When a dominant, compliant platform like Pornhub exits a local market, users do not necessarily stop the behavior; instead, they often substitute toward noncompliant competitors (accounting for 10% of baseline consumption) or use VPNs to access the blocked sites (accounting for 31% of baseline consumption). Consequently, the effectiveness of digital regulation depends less on the law itself and more on the uniformity of platform compliance and the ease with which users can find substitutes.

In the broader context of regulating online activity, the sources highlight that digital consumers have a unique ability to adapt to restrictions, making the ultimate impact of such policies uncertain. When U.S. states implemented age verification laws for adult websites, user behavioral responses were characterized by four distinct channels: noncompliance, circumvention, substitution, and cessation.

According to the study, for every 100 hours of pornography consumed before the laws took effect, the breakdown of post-law behavior was as follows:

1. Noncompliance (50 Hours)

The largest share of consumption persisted simply because many websites did not implement the required restrictions. Approximately 49% of pre-law browsing time was spent on websites like XVideos and XNXX that chose not to comply with state mandates, allowing users to continue their habits without interruption.

2. VPN-Based Circumvention (30 Hours)

Users frequently bypassed geographic blocks by using Virtual Private Networks (VPNs) to mask their physical location.

• Persistent Access: Roughly 31% of baseline consumption persisted through this method.
• Young Adult Adoption: The sources find that young adults (aged 18–24) engaged in more VPN-based circumvention than older age groups, likely due to higher technological sophistication.

3. Platform Substitution (10 Hours)

When dominant sites like Pornhub blocked access, users often migrated to noncompliant competitors.

• Market Shift: Approximately 10% of baseline consumption was substituted from compliant sites to those that remained open.
• Concentrated Migration: Most of this traffic flowed to the remaining top-tier noncompliant sites rather than "fringe" adult websites.

4. Cessation (10 Hours)

A minority of users stopped visiting adult websites altogether in response to the regulations.

• Overall Impact: The sources estimate that total pornography consumption fell by approximately 10% (or roughly 0.5 minutes per week for the average user).
• Subgroup Differences: Cessation was notably higher in households with children when using desktop computers, which may suggest that the laws were more effective at reducing access for minors or that parents were more likely to stop using the sites on shared devices. Conversely, cessation was lower among young adults compared to those aged 25–44.

Implications for Digital Regulation

These behavioral responses demonstrate that "leakage"—the continuation of targeted activity through alternative means—significantly mutes the impact of online regulations. Across every subgroup studied, total consumption fell by 15% or less, indicating that while access restrictions did reduce overall activity, the majority of pre-existing behavior persisted through technological workarounds or shifting to alternative platforms. This suggests that the effectiveness of digital regulation depends heavily on the cost of circumvention and the availability of non-compliant substitutes.

In the larger context of regulating online activity, the methodology employed in the sources stands out by using high-frequency, individual-level panel data to overcome the limitations of previous studies that relied on aggregate traffic or search trends. This approach allows for a granular decomposition of user behavior—specifically noncompliance, circumvention, substitution, and cessation.

The research methodology can be broken down into three main components:

1. Data Source and Scope

The study utilizes data from Comscore, a media measurement firm, covering a rotating panel of approximately 550,000 U.S. internet users from January 2022 through December 2024.

• Individual-Level Tracking: The data tracks specific "machines" (desktop and mobile devices), recording the exact timestamp, duration, and number of pages for every website visit.
• Stable Geographic Assignment: Crucially, geographic location is assigned based on stable demographic information rather than contemporaneous IP addresses. This allows researchers to observe browsing activity even when a user is using a VPN, a capability missing from methodologies that rely on IP-based tracking like Google Trends.
• Comprehensive Categorization: Researchers tracked activity across more than 200,000 adult websites, manually coding the top 25 sites as "compliant" or "noncompliant" based on whether they implemented state-level restrictions.

2. Empirical Strategy: Stacked Difference-in-Differences

To identify the causal effect of regulation, the authors employ a stacked difference-in-differences (DiD) design.

• Exploiting Staggered Rollouts: The model takes advantage of the fact that age verification laws and subsequent website shutdowns (primarily Pornhub's) occurred at different times across 25 states.
• Event Study Framework: The analysis compares trends in pornography consumption in treated states to control states (those where shutdowns had not yet occurred or never occurred) during a window ranging from 16 weeks before to 8 weeks after a shutdown.
• Fixed Effects and Clustering: The researchers include machine-by-cohort and calendar-week-by-cohort fixed effects to control for individual habits and time-varying shocks. Standard errors are clustered at the state level to ensure statistical robustness.

3. Data Cleaning and Limitations

The methodology includes specific technical choices to ensure data quality and acknowledges inherent limitations:

• Winsorization: To prevent results from being skewed by extreme outliers (unusually long browsing sessions), all session durations were winsorized at the 95th percentile.
• The "Private Browsing" Gap: A noted limitation is that the data does not capture visits made in private browsing modes (e.g., Chrome’s Incognito Mode). However, the authors argue this does not bias their results because private browsing does not circumvent state-level IP blocks.
• Adult-Only Focus: Because the panel consists entirely of adults, the methodology measures how intended users (adults) respond to laws meant to protect minors.

Methodological Advantages over Prior Research

The sources emphasize that this methodology improves upon existing literature in several ways:

• Quantifying Minutes: Unlike Google Trends, which uses normalized search intensity, this study measures the exact number of minutes spent on platforms.
• Substitution Patterns: It can track substitution to the "full set" of alternative websites rather than just a few popular ones.
• Demographic Heterogeneity: The individual-level data allows researchers to see how responses differ by age, gender, and the presence of children in a household.

The sources perform a heterogeneity analysis to understand how different subgroups of users and device types respond to age verification mandates. This analysis is critical because it examines whether the regulations—intended to protect minors—actually affect users differently based on their age, technological literacy, or household environment.

Key findings from the heterogeneity analysis include:

Age and Technological Sophistication

The researchers focus on young adults (aged 18–24) as a proxy for how minors might respond, given that direct data on minors was unavailable.

• Lower Cessation: Young adults exhibited less cessation (stopping usage) compared to the 25–44 age group.
• Higher Circumvention: This group engaged in significantly more VPN-based circumvention, which the authors attribute to their likely higher level of technological sophistication.

Households with Children

To assess the impact on potential minor access, the study compared desktop machines in households with children to those without.

• Increased Effectiveness: Cessation was larger in households with children present than in those without.
• Interpretations: This could suggest the laws were more effective at reducing access for minors on shared family computers, or that parents in these households were more likely to cease usage altogether once the barriers were implemented.

Device Type and Usage Intensity

The analysis also looked at how the platform (mobile vs. desktop) and the user's baseline habits influenced their reaction:

• Mobile vs. Desktop: Mobile devices showed significantly higher baseline usage (18.8 minutes per week) compared to desktops (2.3 minutes per week). However, desktop users showed higher rates of cessation (approximately 13%) compared to mobile users (approximately 4%) [Figure 3, 95].
• Heavy vs. Moderate Users: Users categorized as "Heavy" Pornhub consumers showed greater cessation in percentage terms than "Moderate" users [Figure 3, 95].

Core Takeaway: The "Leakage" Consistency

Despite these variations, a primary takeaway from the heterogeneity analysis is the consistent attenuation of the law's impact across all groups.

• Universal Persistence: In every subgroup studied—including different genders, income levels, and household types—total pornography consumption fell by 15% or less.
• The Power of Substitutes: Regardless of the demographic, the availability of noncompliant sites and the ease of VPN circumvention provided enough "leakage" to ensure that the vast majority of pre-law browsing behavior persisted.

Ultimately, while certain groups (like young adults) are more adept at circumvention, the presence of close substitutes with low circumvention costs effectively muted the policy's impact across the entire user base.

The sources acknowledge several limitations inherent in their analysis of online adult content regulation, primarily stemming from data constraints and the scope of the study. These limitations are critical for understanding how the findings—such as the observed 10% reduction in total consumption—apply to the broader landscape of digital regulation.

Data Representation and Tracking Constraints

The study relies on a panel from Comscore, which presents specific challenges regarding how accurately it reflects the general population:

• Sample Selection: The Comscore panel is a selected sample of internet users and may not be perfectly representative of the U.S. population in terms of demographics and device-type usage.
• Awareness of Tracking: Because panelists are aware they are being tracked, their browsing behavior—specifically for sensitive content like pornography—might differ from that of the average unobserved user.
• Private Browsing Gap: The data does not capture visits made in private browsing modes (e.g., Google Chrome’s Incognito Mode). While the researchers argue this does not bias the results because private browsing cannot bypass geographic IP blocks, it does mean the study understates total consumption both before and after the laws took effect.

The "Minor" Data Gap

Perhaps the most significant limitation given the regulatory intent is the absence of direct data on minors.

• Primary Target Missing: The age verification laws were specifically designed to protect children under 18, yet the Comscore panel consists entirely of adults.
• Indirect Proxies: Researchers had to use young adults (18–24) and households with children as indirect proxies to infer how minors might react to the mandates. Consequently, the study's estimates reflect the impact on adult users rather than the primary population the laws aim to protect.

Geographic and Technical Measurement

The methodology for assigning users to specific states introduced potential for minor measurement errors:

• Market Mapping: Comscore Markets do not align perfectly with state lines. Researchers had to assign "machines" to states based on population majorities within overlapping markets, which could lead to errors in geographic assignment.
• VPN Identification: While the study can observe browsing activity even when a VPN is used (because geographic assignment is based on stable demographic data), it does not have a direct indicator for whether a VPN is active during a specific session. The persistence of activity on blocked sites like Pornhub is used as a proxy for circumvention.

Scope and External Validity

The sources also highlight limitations regarding the scope of their economic conclusions:

• Welfare Effects: The study documents a reduction in consumption but does not assess the welfare effects of these changes on either the consumers or society at large.
• Supply-Side Exclusion: The analysis focuses exclusively on the demand side (user behavior) and does not examine how these regulations affect the production of adult content or the performers involved.
• Generalizability: While the study identifies universal "leakage" channels like substitution and circumvention, the quantitative estimates are local to the adult website market and may vary in other regulated digital sectors like social media or online gambling.

Sportswashing: The Global Mechanics of Soft Power Reputation Management

 The term sportswashing describes a sophisticated form of reputation management where actors use sports as a medium to redirect public attention away from ethical misconduct or legal infractions. While the term was coined in 2015 and gained significant media traction during major events like the 2022 Beijing Winter Olympics and the Qatar World Cup, academic literature has recently moved beyond media rhetoric to establish a more rigorous conceptual framework.

Origins and Core Definition

Linguistically, sportswashing is derived from "whitewashing" (glossing over contentious facts) and "greenwashing" (overstating environmental commitments). The fundamental dynamic involves a tension between a public ethical infraction and an actor's desire to receive less negative media attention. Sports are a uniquely powerful tool for this because they engage fans' deep emotional attachments, community identities, and "induced tribalism," which can compel supporters to defend or excuse an actor's violations.

The Three Functional Mechanisms

According to the sources, sportswashing functions through three primary mechanisms:

• Distraction: Saturating the digital environment with sports-related content so that news of misconduct is buried in search results.
• Minimization: Reducing the perceived urgency of infractions by coupling reports of misconduct with the excitement of major global sporting events.
• Normalization: Using information strategies to make ethical or legal violations appear routine or insignificant, eventually making them seem unworthy of public scrutiny.

Strategic Narrative and "Fetishistic Disavowal"

Beyond mere distraction, sportswashing is used to strategically engineer narratives. This can include the use of "dis- and misinformation" to shape the social and political context in ways that benefit the actor.

From a psychological perspective, researchers use the concept of "fetishistic disavowal" to explain fan behavior. This suggests that sports function as a "fetish" that allows fans to consciously or unconsciously overlook a team owner's or host nation's misconduct—such as human rights violations—in order to continue their support.

The Larger Context: Soft Power and Diplomacy

In the broader landscape of international relations, sportswashing is categorized as a subcategory of sport diplomacy, which itself is a tool of public diplomacy. Its ultimate goal is often not just the diversion of attention, but the accumulation of soft power—the ability to shape the preferences and opinions of others without coercion. For example, Saudi Arabia’s sports investments are explicitly linked to its "Vision 2030" project, intended to establish the nation as a global destination and diversify its economy.

Expanding the Scope of Actors

Crucially, the sources emphasize that sportswashing is not exclusive to authoritarian regimes.

• Democratic Nations: Nations like the United States engage in these practices; for instance, Los Angeles may use the 2028 Olympics to shift the narrative away from its domestic homelessness crisis.
• Corporations: Private entities, such as the cryptocurrency exchange FTX, have used sports arena naming rights and athlete associations to build business credibility.
• Duration: Strategies are divided into "one-off event-based" (hosting a World Cup) and "longer term investment-based" (owning a club like Manchester City or Newcastle United).

By defining sportswashing broadly to include all potential actors and violations, academic discourse aims to hold all entities accountable for using sports to redirect undesired attention.

In the larger context of sportswashing, understanding its context and application requires moving beyond the common media perception that these practices are exclusive to authoritarian regimes. Academic research emphasizes that a broad definition—encompassing various actors and types of misconduct—is necessary to hold all entities accountable and to avoid misidentifying the scope of the problem.

Expansion of Actors: Beyond Authoritarian States

While media discourse frequently links sportswashing to authoritarian host nations, the sources highlight that democratic nations and private entities also utilize these strategies.

• Democratic Nations: Western democracies use sports to manage domestic and international narratives. For example, the city of Los Angeles is noted as likely using the 2028 Summer Olympics to shift focus away from its significant homelessness crisis.
• Corporations: Private companies use sports associations to build credibility or "wash" reputations following ethical or legal concerns. A cited example is the cryptocurrency exchange FTX, which associated with high-profile athletes and secured naming rights for the Miami Heat arena to promote its business before its collapse.
• Individual Actors: The application of sportswashing can also extend to individual persons seeking reputation management.

Strategic Application: Internal vs. External Audiences

Sportswashing is often framed as an external messaging tool, but it frequently targets domestic audiences to build "internal soft power". A primary example provided is the 2014 Sochi Winter Olympics, which functioned as a domestic reputation-builder for President Vladimir Putin rather than an exercise in foreign diplomacy.

Diverse Infractions and Subjective Interpretations

The sources argue that the application of the term should not be restricted to human rights violations alone. Instead, it should encompass a wide range of "negative information" or legal and ethical infractions. Furthermore, the assessment of what constitutes misconduct can be based on subjective interpretation, making it vital to include all types of actors—including Western nations and corporations—within the academic discourse to ensure comprehensive accountability.

Distinction in Practical Strategies

Research further distinguishes between two primary ways sportswashing is applied in practice:

• One-off Event-based Strategies: Large-scale, temporary events such as hosting the FIFA World Cup or the Olympic Games.
• Longer-term Investment-based Strategies: Sustained engagement through team or club ownership, such as the acquisition of Manchester City, Newcastle United, or Chelsea.

This distinction is crucial because long-term investments allow actors to leverage fan loyalty and devotion, which can be more effective at normalizing an actor’s image than a single global event. For instance, Chelsea fans’ support for Roman Abramovich remained high due to the trophies he delivered, even amidst significant international conflict.

Reframing sportswashing involves moving the term beyond media rhetoric to establish it as a rigorous analytical concept within the fields of international relations and diplomacy,. The sources highlight two primary ways this is achieved: situating it within the framework of sport diplomacy and redefining the concept of soft power.

Sport Diplomacy and Public Policy

Academic literature reframes sportswashing as a specific subcategory of sport diplomacy, which itself is a component of broader public diplomacy,.

• Definition of Sport Diplomacy: This practice involves using sporting events and people to engage foreign publics, create a favorable image, and shape perceptions to achieve specific foreign policy goals.
• The "Toolbox" Approach: Rather than viewing it as an isolated incident of reputation management, researchers argue that sportswashing is one tool in a larger "toolbox" of foreign policy. For example, Saudi Arabia’s bid for the 2034 FIFA World Cup is framed as being inextricably linked to its Vision 2030 project, which aims for economic diversification and global tourism,.
• Strategic Integration: The immediate purpose of sportswashing—deflecting attention from ethical infractions—is rarely the end goal; instead, it serves the higher function of sport diplomacy to build long-term international influence.

Redefining Soft Power

A critical part of reframing involves expanding the traditional definition of soft power, which is the ability to shape the preferences of others through appeal rather than coercion.

• Moving Beyond Western-Centric Views: Early definitions of soft power often implied that only liberal democratic nations could achieve it. Reframing this concept allows academics to recognize the growing influence of non-democratic states like China, Russia, Qatar, and Saudi Arabia.
• The Power of Opinion: By adopting a definition that characterizes soft power as "the power of opinion," researchers can focus on a nation's skill in crafting its own image and shaping global opinions, regardless of its political system.
• Inclusion of All Actors: Reframing soft power ensures that the analytical framework for sportswashing accounts for all possible actors. This prevents the "detrimental" exclusion of genuine cases from academic discourse simply because they do not fit an outdated, democratic-only model of influence.

Strategic Narratives and Image-Building

Reframing these concepts allows sportswashing to be understood as a sophisticated method of image-building. By utilizing the "goodwill" inherent in sports, actors can support overarching national visions and economic objectives. Consequently, redirecting attention from misconduct is seen as just one possible mechanism within a broader, multi-pronged strategy to build a positive global reputation.

Measuring the impact of sportswashing is a complex task that has only recently moved from media terminology to rigorous academic study. While media discourse often frames it as an effective tool for image-building, academic research indicates that its actual impact on public opinion remains understudied and often challenged.

The Challenge of Empirical Measurement

Measuring the effectiveness of sportswashing is difficult because research has historically been dominated by qualitative methods.

• Methodological Gaps: A review of scholarly studies found that the vast majority use qualitative methods like case studies and discourse analysis, with very few employing quantitative or empirical approaches.
• Correlation vs. Causation: Researchers find it much harder to isolate the specific effects of sportswashing efforts than simply noting a correlation between sports investment and certain outcomes.
• Need for Specificity: Rather than formulating a grand theory, impact is currently best measured through empirical studies of specific case studies, such as the 2022 World Cup in Qatar or the ownership of individual clubs.

"Soft Disempowerment": When Sportswashing Backfires

A significant finding in the sources is that sportswashing can have the opposite effect of its intended goal, a phenomenon known as "soft disempowerment".

• Unintended Scrutiny: Instead of suppressing negative information, hosting major events can act as a catalyst for global media to uncover it. For example, Qatar’s hosting rights led to widespread international exposure of its kafala system.
• Reputational Harm: Attempts to accumulate soft power through sports can invite greater international scrutiny, potentially leading to long-term reputational harm rather than improvement.

Media as the "First Obstacle"

The effectiveness of sportswashing is highly dependent on media discourse, which serves as the primary medium for its mechanisms.

• Information Manipulation: News outlets determine whether an actor's message reaches a sufficient audience and how that message is framed.
• Framing Effects: Survey experiments show that how an event is framed—whether focusing on human rights violations or event efficiency—has a substantial impact on how the public evaluates the host.
• Counter-narratives: Traditional media outlets often establish counter-narratives that conflict with the actor's intended message, as seen in the coverage of LIV Golf highlighting Saudi Arabia's human rights record.

Measuring Fan Reactions and Social Media

Analyzing fan behavior, both in person and online, provides a "real-time" view of sportswashing’s operation.

• Diverging Sentiments: Research shows that social media sentiment can improve more rapidly than traditional news coverage during an event.
• Social Identity Theory: Fans may prioritize their fandom over ethical concerns to protect their club’s reputation. For example, Chelsea fans were found to be less likely to discuss the Russia-Ukraine conflict online following the announcement that owner Roman Abramovich would relinquish control.
• Unchanged Perceptions: Some studies indicate that while fans may enjoy the experience of a sporting event in a host country, their underlying perceptions of that country may remain largely unchanged.

Locked in Low Gear: Mexico’s Struggling Economy

 Mexico’s economic growth performance is characterized as being "locked in low gear," marked by persistent underperformance and a recent downward trend in growth rates.

Long-Term and Recent Growth Trends

• Historical Average: Since 1990, Mexico’s average economic growth has remained stagnant at approximately 2.2% per annum.
• Recent Decline: Between 2018 and 2024, the average growth rate dropped further to approximately 0.9%, representing the lowest levels seen since the 1980s.
• Current Status: In 2025, growth stood at only 0.8%, and current forecasts for 2026 indicate that the trend will continue with growth expected to not exceed 1.3%.

Structural Barriers to Growth

The sources argue that this poor performance is driven by deep-seated structural factors rather than temporary fluctuations.

• Informality and Productivity: Approximately 54.4% of the workforce operates in the informal economy, which generally lacks the capital, skills, and technology necessary for high productivity. This disparity is stark; while the formal sector employs less than half the workforce, it generates 74.6% of the country’s total GDP.
• Declining Investment: Both public and private investment have struggled, with public spending on fixed investment decreasing by 28.4% in 2025. Gross fixed investment saw a 7% year-to-date decline through November 2025, a contraction typically seen only during major economic recessions.
• Fiscal Rigidity: The federal budget is increasingly rigid, with 70% of tax revenue in 2025 committed to social programs, pensions, and debt servicing, leaving very little for infrastructure, education, or health. Consequently, the national debt is projected to approach 60% of GDP by 2030.
• "Sticky" Inflation: Inflation remains above the central bank’s 3% target, reaching 3.79% in January 2026, which restricts domestic consumption and hampers short-term growth.

Institutional and External Influences

• Structural Reforms: Recent judicial and regulatory reforms—such as making all judges popularly elected and dissolving independent regulatory agencies—have introduced considerable uncertainty for investors, likely reducing the flow of capital into the country.
• Trade Vulnerabilities: While Mexico benefits from the USMCA, it is heavily dependent on the United States, with 83% of goods exports sent there. Shifts in trade, such as the decline in automotive exports relative to computer equipment, may offer less economic stimulus because computer manufacturing often involves transshipment with fewer domestic jobs and lower capital expenditure.
• Public Insecurity: Private sector economists currently rank public insecurity as the primary factor threatening economic growth, surpassing concerns about foreign trade policy.

The sources describe Mexico as an economy operating at two very different "speeds," where the stark divide between the formal and informal sectors acts as a primary structural barrier to national growth.

The Productivity Gap

The most significant issue highlighted is the massive disparity in productivity between the two sectors.

• Workforce Distribution: As of 2024, approximately 54.4% of Mexico’s workforce operates in the informal economy.
• GDP Contribution: Despite employing more than half of all workers, the informal sector contributes only 25.4% of the country’s total GDP.
• The Formal Powerhouse: Conversely, the formal sector—which comprises only 45.6% of workers—generates 74.6% of total GDP.

Informal workers are generally less productive because they lack the necessary capital, skills, and technology to integrate into the modern economy, and they do not benefit from standard employment protections.

Drivers of Increasing Informality

The sources suggest that the informal sector is currently expanding due to several domestic pressures that are pushing businesses and workers out of the formal economy:

• Regulatory and Tax Pressures: Aggressive revenue collection practices have led many small businesses to transfer their activities to the informal sector to avoid the tightening fiscal environment.
• Rising Labor Costs: Significant minimum wage increases (rising over 145% in real terms since 2018) and constitutional reforms—such as reducing the work week from 48 to 40 hours—have increased business costs without a corresponding gain in productivity.
• Public Insecurity: There is a strong hypothesis that organized crime and extortion are driving small- and medium-sized enterprises (SMEs) to operate "underground" to reduce their visibility to criminal groups.
• Judicial Uncertainty: Recent judicial reforms are expected to increase litigation costs, potentially making the formal market too expensive for mid-sized firms, further encouraging a migration to the informal sector.

Broader Economic Consequences

This high level of informality creates a damaging cycle for Mexico’s struggling economy. Because a majority of workers are in an untaxed sector, the government’s ability to raise revenue is severely limited. This results in:

• Underinvestment: There is insufficient funding for vital growth drivers like infrastructure, education, and science and technology.
• Fiscal Rigidity: With a limited tax base, the federal budget has become extremely rigid, with 70% of tax revenue already committed to social programs, pensions, and debt servicing.
• Declining Formal Employment: In 2025, Mexico saw a decline in formal job creation, with the number of employers registered with the Mexican Social Security Institute (IMSS) contracting for 19 consecutive months as of early 2026.

The sources conclude that without addressing these structural barriers—particularly the lack of investment in skilling and infrastructure that would allow informal workers to transition—Mexico will remain "locked in low gear".

Mexico’s workforce productivity is a critical structural barrier that keeps the economy "locked in low gear," with the country currently ranked near the bottom of the OECD productivity list, followed only by Colombia.

The Informal-Formal Productivity Gap

A major driver of low national productivity is the deep divide between the formal and informal sectors.

• Concentration of Labor: The informal sector employs 54.4% of the workforce but contributes only 25.4% of Mexico’s GDP.
• Efficiency Disparity: In contrast, the formal sector employs just 45.6% of workers but generates 74.6% of the country’s total GDP.
• Barriers to Integration: Informal workers are significantly less productive because they generally lack the capital, technology, and advanced skills required to integrate into the modern economy.

The Wage and Productivity Mismatch

The sources highlight a growing "gap" between rising labor costs and stagnant output that threatens Mexico's competitiveness.

• Rising Costs: Since 2018, the real minimum wage has increased by an average of 13.02% per year.
• Declining Output: During the same period (2019–2024), labor productivity actually diminished by an average of 0.04% per year.
• Impact on Businesses: This disconnect increases operating costs and discourages investment, particularly for small- and medium-sized enterprises (SMEs) that cannot absorb these costs without corresponding productivity gains.

Underinvestment as a Structural Constraint

Mexico's low productivity ranking is attributed to significant underinvestment in three key areas: education and skills, technology and innovation, and infrastructure.

• Fiscal Rigidity: Productivity remains stunted because the federal budget is highly rigid, leaving little flexibility to shift resources toward strategic sectors like education or science and technology.
• Infrastructure Deficits: A lack of investment in basic infrastructure—such as power grids, water systems, and highways—increases business costs and further diminishes total productivity.
• Declining Efficiency: In 2024, Total Factor Productivity (TFP), a measure of structural efficiency and innovation capacity, contracted by 0.35%.

Consequences for the Struggling Economy

The sources conclude that these productivity challenges create a damaging cycle for the broader economy. Reduced productivity compromises worker well-being, limits the national tax base, and jeopardizes long-term GDP growth. Furthermore, as productivity fails to keep pace with wage increases, Mexico risks losing its status as a competitive manufacturing hub and its potential to remain the United States’ most important trading partner. To unlock the economy, the sources recommend channeling resources away from consumption-based social programs toward skilling programs and critical infrastructure to boost future output.

The investment landscape in Mexico is currently characterized by a cycle of underinvestment and economic doubt, which the sources identify as a primary structural factor keeping the country’s economy "locked in low gear".

General Investment Trends

• Stagnant Growth: Mexico has faced a lack of both private and public investment since 2016. While there was a temporary uptick at the end of the previous administration to complete major infrastructure projects, recent productive investment has failed to meet expectations.
• Declining Fixed Investment: Gross fixed investment, which includes both public and private sectors, saw a 7% year-to-date decline through November 2025. This level of contraction is historically associated only with major economic recessions, such as those in 1995, 2009, and 2020.
• Public Sector Reductions: Public spending on fixed investment plummeted by 28.4% in 2025, the largest reduction since 2021. Although the 2026 budget proposes an increase, it remains below 2024 spending levels.

Foreign Direct Investment (FDI) Shifts

While total FDI for 2025 reached $40.87 billion, the underlying data reveals a "subdued" and concerning trend:

• Record Divestment: The fourth quarter of 2025 saw a net divestment of $5.02 billion, the first such occurrence on record.
• Collapse of New Investment: New investments accounted for only 18.05% of total FDI in 2025, a sharp decline from the 45–50% levels seen just a few years earlier in 2021 and 2022. Most current FDI is driven by the reinvestment of profits (brownfield) rather than the entry of new companies (greenfield).
• Strategic Gaps: Despite high U.S. demand for computer equipment, this has not yet translated into increased FDI in that sector, suggesting Mexico is failing to capitalize on robust U.S. investment trends.

Barriers and Deterrents

The sources highlight several domestic and external factors that have created a climate of "economic doubt":

• Public Insecurity: Private sector economists rank public insecurity as the top factor threatening growth, surpassing concerns about foreign trade. Uncertainty regarding organized crime and extortion is even pushing some small businesses to move their operations "underground".
• Institutional Reforms: Reshaping the judicial system—making judges popularly elected—and dissolving independent regulatory agencies have introduced considerable uncertainty for investors. Investors now face a weakened ability to fairly appeal government decisions.
• Energy Sector Constraints: The government’s decision to restrict private investment in strategic sectors like energy and power generation acts as a "structural brake" on growth. Without reforms to invite private capital, Mexico may struggle to meet the energy needs of new investors.
• Trade Uncertainty: Companies are currently in a "holding pattern" due to uncertainty regarding U.S. tariff policies and the upcoming 2026 USMCA review.

Investor Sentiment and Outlook

As of December 2025, 49% of private sector forecasters considered it an inopportune time to invest in Mexico, and 51% were uncertain. Notably, zero respondents viewed it as an advantageous moment. The sources conclude that unless Mexico restores legal certainty, opens its energy markets, and shifts its budget from consumption toward productive infrastructure, the types of investment needed to unlock the economy are unlikely to materialize in the near term.

The sources indicate that Mexico is facing a declining fiscal position characterized by extreme budgetary rigidity, rising debt levels, and a shift in spending toward consumption rather than productive investment.

The Rigidity of the Federal Budget

The central challenge identified in the sources is that the Mexican government has very little flexibility to manage its finances.

• Committed Revenue: In 2025, 70% of all tax revenue was already committed to social programs, pensions (both contributory and noncontributory), and debt servicing.
• Crowding Out Strategic Sectors: This rigidity leaves only a small fraction of the budget for vital sectors that drive long-term growth, such as health care, education, infrastructure, and science and technology.
• Ineffective Spending: While social programs and pensions provide liquidity, the sources argue these funds are largely used for consumption, which does not contribute to sustainable, long-term economic growth.

Rising Debt and Deficits

Despite efforts to collect more revenue through aggressive tax enforcement, Mexico is struggling with an expanding budget deficit.

• Debt Thresholds: The gross debt-to-GDP ratio reached 55.8% in 2025 and is projected to approach 60% by 2030. Crossing this 60% threshold is viewed as a critical point that may lead international markets to view Mexico's fiscal position negatively.
• Nonproductive Borrowing: A major concern raised is that additional debt is being used primarily to finance current expenditures and nonproductive investments rather than mid- or long-term productive projects.
• Fixed Investment Declines: Public spending on fixed investment dropped by 28.4% in 2025. While the 2026 budget proposes an increase, the sources warn that the target remains at risk because the government’s revenue and expenditure assumptions are likely overvalued.

Subsidies to State-Owned Corporations

Budgetary pressure is further exacerbated by the government’s commitment to state-owned enterprises.

• Pemex and CFE: Substantial resources are drawn from the federal budget to subsidize the national oil company (Pemex) and the national power utility (CFE).
• Discouraging Private Capital: Current regulatory conditions disincentivize private investment in the energy sector, leaving the government to shoulder the massive costs of meeting the country’s energy demands alone.

Broader Economic Risks

The sources conclude that this fiscal environment acts as a "structural brake" on the economy. The budgetary rigidity not only limits economic growth but also heightens the risk of credit rating downgrades. To unlock the economy, the sources recommend a major revision of budget priorities, specifically channeling resources away from cash transfer programs toward skilling, critical infrastructure, and health care to boost future productivity.

The sources indicate that Mexico's economic performance is significantly hindered by a combination of internal social challenges and external trade-related vulnerabilities, both of which serve to keep the economy "locked in low gear".

Social Barriers: Insecurity and Inequality

The most prominent social barriers involve the impact of crime on business operations and the structural limitations of the domestic market.

• Public Insecurity and Organized Crime: Between December 2025 and February 2026, private sector economists ranked public insecurity as the primary factor threatening Mexico’s economic growth, even surpassing concerns about foreign trade. There is a strong hypothesis that organized crime and extortion have forced many small- and medium-sized enterprises (SMEs) to move their operations "underground" to the informal sector to reduce their visibility to criminal groups. Furthermore, recent judicial reforms that make judges popularly elected are viewed as a risk that could open the judiciary to the influence of organized crime.
• Persistent Labor Informality: Approximately 54.4% of the workforce remains in the informal economy. This sector is characterized by low productivity because workers lack the necessary capital, skills, and technology. This high level of informality creates a cycle where the government cannot raise enough tax revenue to invest in strategic social areas like education, health care, and skilling programs, which are essential for long-term growth.
• Weak Internal Market: While domestic consumption represents about 71% of Mexico’s GDP, it is described as "volatile". Growth is limited because income and wealth are unevenly distributed, and most households rely on subsidies and remittances just to maintain basic consumption rather than increasing their spending power.

External Barriers: U.S. Overdependence and Trade Risks

Mexico’s economy is defined by a state of "asymmetric interdependence" with the United States, which provides significant advantages but also creates extreme vulnerability.

• Extreme Export Concentration: Mexico is heavily dependent on the U.S. market, which receives 83% of its goods exports. Over the last decade, nearly 40% of all Foreign Direct Investment (FDI) has come from the U.S.. This overexposure means that shifts in U.S. commercial policy, such as protectionist tariffs or trade threats, have a disproportionate impact on Mexican economic stability.
• The "Holding Pattern" of Uncertainty: Uncertainty surrounding the 2026 USMCA review and shifting U.S. tariff schedules has placed many investors in a "holding pattern". This has led to a collapse in "greenfield" (new) investment, with most current FDI coming only from the reinvestment of existing profits.
• Trade-Offs in Export Sectors: In 2025, computer equipment overtook automotive exports as Mexico's top export to the U.S.. However, the sources note this as a negative structural shift; while the automotive industry is deeply integrated and drives domestic jobs and productivity, the computer sector involves a high degree of transshipment, which generates less economic spillover and fewer domestic jobs.
• Pressure Regarding China: To mitigate pressure from Washington regarding China's potential use of Mexico as a "backdoor" to U.S. markets, Mexico imposed a 50% import tariff on over 1,400 goods from countries without trade agreements, specifically targeting China. While intended to raise revenue and protect trade relations with the U.S., these tariffs are expected to increase costs for Mexican industries that rely on Chinese intermediate inputs.

A Door just opened on a street -

 A Door just opened on a street  —

I — lost — was passing by  —
An instant’s Width of Warmth disclosed -
And Wealth — and Company.

The Door as sudden shut — And I  —
I — lost — was passing by —
Lost doubly — but by contrast — most -
Informing — Misery.

     -F914, J953, sheet 10, 1865

 

Nineteen thoughts on AI and Europe

Protectionism and industrial policy won't fix our problems

PIETER GARICANO AND SIMON GRIMM JUN 15, 2026

After the events of last weekend, here are some thoughts on where Europe is with AI. This post is coauthored with my colleague Simon Grimm.

1. The reporting so far seems to indicate that foreign citizens were banned from using Anthropic’s model Fable because the Trump administration needed a way to shut down access to the model for everyone – including American citizens – and export controls were the easiest way to do so. As American model regulations become more sophisticated, we should expect more narrowly targeted restrictions.

2. American control over models is no greater than American control over consumer and enterprise software. That arrangement has not worked so badly for Europe: Google earned a lot of money over the last twenty years, but European consumers and business enjoyed Maps, Drive, Gmail, YouTube, and Search. Artificial intelligence may be quantitatively much more important to the economy, but qualitatively the dependence is no different.

3. Economic convergence across history has always depended on the importation and adoption of foreign technology, not its rejection. Mexico, Argentina, and Brazil lost much of the twentieth century pursuing import substitution; Singapore, Taiwan, and South Korea have become rich by integrating themselves into global manufacturing. Even the Chinese have gritted their teeth for decades and accepted dependence on the Americans.

4. Dependence on American technology does not imply permanent vassalage. It seems unlikely that AI will be the only technology, or Anthropic the only company. Superhuman intelligence may make progress in plasma physics, but that will create a need for companies that build fusion reactors. Those could be German as much as they could be American.

5. Becoming major users of American models makes restrictions less likely because of the cost to American companies of losing European customers. Nvidia is lobbying the Trump administration to allow it to sell chips to China because of its importance as a market.

6. Champions of a European AI model should ask themselves if a European effort would be more effective than Meta, which this year will spend more on chips ($125 billion) than Germany spends on defense ($114 billion) and offer salaries of over $100 million to attract the best researchers, and is still failing to catch up. Elon Musk tried and failed to build a good AI model.

7. European governments tried to build their own Google in 2005, a Franco-German alternative called Quaero. After Franco-German disagreements, the Germans spun off Theseus. Both Quaero and Theseus were discontinued by 2013.

8. Fable teaches us something general about the ‘intelligence commoditization’ thesis and the ability of worse models (whether Chinese or European) to substitute for the frontier ones. Having experienced a better model, Opus 4.8 is painful to use even on tasks where it previously felt helpful.

9. New models can do things that old models could not do: no amount of GPT-4 prompts could solve an Erdos problem. But the preference for better models is also because returns in life are non-linear: competition between firms, applications for jobs, financial trading, and legal work share the characteristic that a tiny increase in performance can deliver enormous increases in payoffs.

10. In a world of highly skewed returns to capabilities, the second mover earns nothing. The revenue that Mistral reported earlier this year is less than one percent of Anthropic’s today. Any European sovereign AI effort would have to invest billions to catch up without making any money along the way.

11. The response to the revenue problem should not be the Buy European Tech Act, if ‘Buy European’ means buying worse models, baking in security vulnerabilities and less useful responses.

12. The above is all true if we are in a world of increasing returns to model capabilities, where companies with better models can use them internally – and the revenue they earn from them – to pull away from weaker labs. For now, this seems true: the gap between Google DeepMind on the one hand and Anthropic and OpenAI on the other has increased over the last year. In the increasing returns world, it is enormously hard for any company, whether European, American, or Chinese, to catch up with the current leaders.

13. This world of increasing returns is not guaranteed. Many smart people don’t believe in it: Google is selling millions of chips to Anthropic rather than giving them to DeepMind, because Anthropic’s willingness to pay for the chips — their belief in near-term progress — is currently greater than Google’s. If progress did slow down, other providers, including European ones, would be able to catch up.

14. We interviewed a number of European data centers over the last two months; all said that European data centers would not be built at scale without subsidies. Part of this is due to Europe’s high power prices and population density. In the areas where these problems are less pressing – Scandinavia and Iberia – smaller data centers are being built by commercial providers.

15. A reason why American companies don’t want to build their biggest data centers in Europe is political risk. The companies worry that the European Union will change its rules on copyright, fine them, and come up with extractive taxes once the investments are committed.

16. It may seem implausible for a democracy to commit economic self-harm on that scale. But, through the energy transition, Europe has signaled that governments will tolerate destroying industries as important as the German car and chemical industries. It is not clear how you rebuild this trust.

17. If it does come down to a transatlantic stand-off for model access, the upside of combining forces in the European Union may be lower than the downside of increased coordination costs. There are many members of the EU with conflicted interests who might yield to pressure: Eastern Europe needs the American military presence in Europe to deter Russia. Having countries like these involved in decisions may diminish total European leverage.

18. It would be helpful for national leaders in Europe to think about AI from the perspective of their national interest. The member states are the ones that control the factors that matter: labor markets, taxes, permitting, and energy. The Netherlands could choose to loosen the planning laws that are slowing the expansion of ASML; Germany could lower its electricity costs enormously with a nuclear restart. They have far more control over their individual destinies than does the European Commission.