What to Read in The Hindu Editorial ( Topic and Syllabus wise)

 

Article 1: ​End in sight

Why in news: The India–U.S. trade deal has boosted markets and industries, but uncertainty over timelines, strategic commitments, and energy implications persists, underscoring the need for transparency and parliamentary scrutiny.

Key Details

India–U.S. trade deal announcement has boosted confidence across Indian industries

U.S. tariffs on Indian goods reduced from 50% to 18%, but implementation timeline unclear

Conflicting statements: U.S. says tariffs cut immediately, India says details coming soon

Nature of the deal uncertain : mini-deal, tariff-only pact, or part of a larger agreement

Claim on stopping Russian oil imports remains unaddressed by the Indian government

Ending Russian oil purchases could impact energy security and India–Russia ties

India’s commitments to the U.S. on tariffs, investments, and purchases not disclosed

Agriculture and dairy sectors assured protection

Markets reacted positively:  stronger rupee and rising stock indices

Labour-intensive sectors like textiles, apparel, leather, and engineering gain most

India–EU trade deal and Union Budget 2026 expected to further improve competitiveness

Relief, but unanswered questions

Positive sentiment across many Indian industries following news of the India–U.S. trade deal

Key uncertainties remain, even after the Commerce Minister’s press statement

Several details are still unclear, raising policy and strategic concerns

Unconventional announcement

Initial announcement via social media, in line with U.S. President Donald Trump’s style

Departure from India’s usual practice, as earlier trade deals were announced through formal channels

Marks a shift in how major economic decisions are being communicated

Tariff reduction: welcome but vague

U.S. tariffs on Indian imports cut to 18%, down from 50%, offering major relief

No clarity on implementation timeline

U.S. side says “immediate”

Indian side says details will be shared “soon”

Uncertainty over the nature of the deal

First tranche or mini-deal

Purely tariff-focused agreement

Or part of a larger Bilateral Trade Agreement

Russian oil issue: a serious omission

Claim that India will stop buying Russian oil needs urgent clarification

Not addressed in the Commerce Minister’s statement

Stopping Russian oil imports would

Affect nearly one-third of India’s oil supply

Strain India–Russia relations, including defence ties

Such a strategic shift should be debated in Parliament

Alternative sources like Venezuelan crude bring refining and logistical challenges

India’s commitments to the U.S.: still unclear

No transparency yet on what India has agreed to in return

Tariff concessions

Investments

Purchase commitments

Only assurance given: sensitive agriculture and dairy sectors excluded

Multiple claims by the U.S. side remain unanswered by the Indian government

Market reaction and sectoral impact

Positive market response

Stock markets buoyed

Rupee strengthened

Major boost to labour-intensive sectors

Textiles

Apparel

Footwear

Leather

Engineering goods

These sectors were hit hard by the 50% tariffs earlier

Link with other trade agreements

Additional gains expected from the upcoming India–EU trade deal, likely effective this year

U.S. tariffs may still be slightly higher than those faced by South-East Asian competitors due to MFN status

Overall competitiveness improves, despite the remaining gap

Union Budget 2026 measures are expected to help narrow this gap further

Conclusion

The India–U.S. trade deal has undeniably lifted economic sentiment and offered timely relief to key Indian industries. However, the lack of clarity on implementation, strategic commitments, and geopolitical implications – especially on energy and foreign policy-raises concerns. Transparent disclosures and parliamentary discussion are essential to ensure economic gains do not come at the cost of long-term national interests.

Descriptive question:

1. Discuss the significance of the India–U.S. trade deal for India’s economy. (!50 words, 10 marks)

 

 

 

Article 2: AI’s next investment cycle belongs to applications

Why in news: The AI industry is shifting from infrastructure hype to application-led profitability, highlighting investor focus on real revenues, enterprise adoption, and sustainable business models, similar to how the internet was monetised through applications rather than raw capacity.

Key Details

Profitability, not performance, is now the key AI challenge

Massive infrastructure spending has not ensured sustainable returns

Foundation models face high inference costs and intense competition

AI applications account for the majority of generative AI spending

Enterprises are deploying AI at scale, not just experimenting

Revenue concentration is emerging in a small number of successful AI products

Investors favour real customers over speculative technology

Departmental AI, especially coding tools, creates measurable value

Applications drive demand for models and infrastructure

Vertical-specific AI solutions offer the strongest long-term potential

AI at a Turning Point

The AI industry is moving from a phase of heavy investment to one focused on profitability

The debate is no longer about whether AI works, but whether it can generate sustainable returns

Future success depends on practical AI applications, not bigger models or more GPUs

AI Infrastructure vs AI Applications

In 2025, around $320 billion was spent globally on AI infrastructure

Despite massive spending, foundation model companies operate on thin margins

High inference costs and intense competition keep profits low

Even with $13 billion in annualised revenue, OpenAI recorded a $5 billion loss in 2024

This model relies heavily on venture capital and corporate funding, making it unsustainable long-term

Why AI Applications Are Winning

Spending on AI applications reached $19 billion in 2025

Applications accounted for over half of all generative AI spending

This represented more than 6% of the global software market, just three years after ChatGPT’s launch

Companies have moved from experimentation to large-scale adoption

Over 10 AI products now earn more than $1 billion in annual recurring revenue

Around 50 products generate over $100 million annually

Signals from the Investment Market

Meta’s $2 billion acquisition of Manus highlights the shift toward applications

Manus reached $125 million in annual revenue within nine months by delivering task-oriented AI, not just conversational tools

Investors increasingly prioritise real customers and revenue

By Q3 2025, there were 265 private equity deals in AI applications

65% growth in such deals compared to the previous year

78% were add-on acquisitions strengthening existing businesses

Strategic M&A activity in AI rose sharply, with deal values up 242% year-on-year

Where Real Value Is Emerging

The departmental AI market is becoming the most valuable segment

In 2025, AI coding tools made up $4 billion of the $7.3 billion departmental AI market

Around 50% of developers now use AI coding tools daily

In top-performing firms, usage rises to 65%

Major acquisitions, such as ServiceNow–Moveworks, focus on business outcomes, not infrastructure

Applications Drive Models, Not the Reverse

Anthropic now controls 40% of enterprise LLM spending

Its rise is driven by dominance in coding applications, with a 54% market share

OpenAI’s enterprise share has declined despite early leadership

Applications pull demand for infrastructure and models

Generative AI reached a 34% contribution margin in 2025, its first profitable year

Margins could rise to 67% by 2028 as efficiency improves

Most profits flow to end-to-end solution providers, not raw compute sellers

What Investors Should Focus On

The next wave of value will come from specific use cases, not generic AI interfaces

High-value opportunities lie in healthcare, law, finance and manufacturing

Successful products are deeply embedded in workflows

Use of proprietary data and operational integration creates defensible businesses

Core metrics like revenue, retention, growth and profitability matter again

Circular financing between big tech firms distorts true demand

AI applications generate external revenue, breaking this cycle

Policy and Regulatory Challenges Ahead

Governments must address competition concerns as model providers build their own applications

Smaller application developers face pressure from vertically integrated giants

Copyright and training data issues are becoming central legal concerns

Privacy frameworks must adapt to AI agents handling sensitive data

Over-regulation could slow innovation at the application layer

Strong merger reviews are needed to prevent anti-competitive acquisitions

The rise of acqui-hires risks harming innovation and workforce stability

The Bigger Lesson

The Internet was monetised through applications, not bandwidth

AI will follow the same path

Long-term value lies in useful, scalable applications, not just powerful technology

Conclusion

The AI industry is entering a decisive phase where profitability and real-world impact matter more than scale. While infrastructure enabled rapid progress, applications now drive value, revenues, and adoption. Sustainable growth will come from use-case-focused, workflow-embedded AI solutions, just as the internet ultimately succeeded through applications rather than raw bandwidth.

EXPECTED QUESTIONS FOR PRELIMS:

Consider the following with reference to Microsoft Azure:

Microsoft Azure is a cloud computing platform that provides services such as computing power, storage, networking, and databases over the internet.

Azure follows only the Infrastructure as a Service (IaaS) model and does not support Platform as a Service (PaaS) or Software as a Service (SaaS).

Microsoft Azure supports hybrid cloud solutions, allowing integration of on-premises infrastructure with cloud services.

How many of the above is/are correct?

Only one

Only two

All three

None

Answer: b

 

 

Article 3: Carbon Border Adjustment Mechanism (CBAM)

Why in news: The Carbon Border Adjustment Mechanism (CBAM) has gained prominence as the European Union began its transitional reporting phase in October 2023, with full financial implementation scheduled from January 2026. India and other developing countries have raised concerns at WTO platforms, arguing that CBAM may act as a trade-restrictive measure affecting exports of carbon-intensive goods.

Key Details

Carbon Border Adjustment Mechanism (CBAM) is a policy instrument that places a carbon price on importsequivalent to the carbon cost borne by domestic producers under emission trading systems.

It targets carbon-intensive and trade-exposed sectors, initially covering iron and steel, aluminium, cement, fertilisers, electricity and hydrogen.

The mechanism follows a two-phase implementation: an initial transitional phase focused on emission reporting, followed by a full compliance phase involving financial obligations.

Importers are required to calculate and report embedded greenhouse gas emissions using prescribed methodologies, with default values applied where verified data is unavailable.

The payable carbon charge allows adjustment for any explicit carbon price already paid in the country of origin, aiming to avoid double taxation.

Design and Operational Framework of CBAM

Legal Basis: CBAM is established under EU Regulation 2023/956, forming a core pillar of the European Green Deal and the Fit for 55 package aimed at reducing EU emissions by 55% by 2030.

Objective:

Prevent carbon leakage

Ensure a level playing field between EU and non-EU producers

Incentivise global decarbonisation beyond EU borders

Coverage of Goods:

Applies to carbon-intensive and trade-exposed sectors such as steel, aluminium, cement, fertilisers, electricity and hydrogen

Selected based on emission intensity and risk of relocation

Phased Implementation:

Transitional Phase (Oct 2023–Dec 2025):

Only emission reporting, no financial payment

Definitive Phase (from Jan 2026):

Mandatory purchase of CBAM certificates linked to EU-ETS prices

Carbon Pricing Mechanism:

Price of CBAM certificates equals the weekly average EU-ETS allowance price

Avoids double taxation by allowing deduction for carbon price paid in exporting country

Measurement & Reporting (MRV):

Embedded emissions calculated using EU-prescribed methodologies

Default values applied if verified data is unavailable

Raises concerns for developing countries with limited MRV capacity

Implications, Concerns and Global Ramifications

Impact on Developing Countries:

Higher export compliance costs

Potential erosion of comparative advantage

Disproportionate impact on MSMEs and low-income economies

India-Specific Concerns:

Affects key export sectors such as steel, aluminium and cement

India argues CBAM violates CBDR principle under UNFCCC

Termed as a form of “green protectionism” in WTO discussions

WTO Compatibility Debate:

EU claims CBAM complies with Article I (MFN) and Article III (National Treatment)

Critics argue it may conflict with Special and Differential Treatment (SDT) provisions

Climate Finance & Equity Issues:

CBAM revenue accrues to the EU budget, not earmarked for climate finance

Developing countries demand revenue recycling towards adaptation and technology transfer

Global Precedent:

Sets a template for similar mechanisms proposed by USA, UK and Canada

Signals emergence of climate-conditioned trade architecture

Way Forward

For India:

Develop a domestic carbon market aligned with global standards

Improve carbon accounting and MRV systems (Measurement, Reporting, Verification)

Negotiate mutual recognition of carbon pricing mechanisms with the EU

Push for technology transfer and climate finance as per Paris Agreement obligations

At the global level:

Strengthen multilateral dialogue at WTO

Ensure climate measures do not become disguised protectionism

Support capacity-building for developing countries

Policy alignment between trade and climate regimes is essential to ensure equity and effectiveness.

Conclusion

The Carbon Border Adjustment Mechanism reflects a growing shift towards climate-linked trade policies. While it may help reduce global emissions, its unilateral design risks burdening developing economies like India. A balanced approach – rooted in multilateralism, climate justice, and shared responsibility is crucial to ensure that global climate action remains inclusive and fair, rather than fragmenting international trade.

Descriptive question:

1. “Carbon Border Adjustment Mechanism (CBAM) aims to address carbon leakage, but its design raises concerns regarding equity, trade protectionism and the principle of Common but Differentiated Responsibilities (CBDR). Discuss in the context of India and developing countries.” (250 words, 15 marks)