Topic 1: Unwelcome Surge — On the Buoyancy in GST Collections
1. Context and Macroeconomic Overview
The Union Ministry of Finance recently released the provisional data for Goods and Services Tax (GST) collections for the month of June 2026. On the surface, the fiscal numbers appear spectacular and worthy of celebration: gross GST collections climbed to an impressive ₹1,94,812 crore, representing a robust 13.9% year-on-year (YoY) increase compared to the ₹1,71,105 crore collected in the corresponding month of 2025. This sustained streak of high collections is frequently cited by policymakers as undeniable proof of India’s post-pandemic economic resilience, formalization of the informal sector, and the success of digital compliance mechanisms.
However, an incisive editorial analysis by The Hindu titled “Unwelcome Surge” peels back the layers of this headline triumph to reveal a stark macroeconomic paradox. The editorial argues that the apparent “buoyancy” in indirect tax revenue is not an accurate barometer of a surging domestic economy, expanding private consumption, or robust manufacturing output. Instead, it is heavily driven by the mechanics of imported inflation and an asymmetrical surge in tax revenues derived from international imports. Meanwhile, domestic consumption-led collections remain notably sluggish, reflecting distress in the broader mass market.
This dynamic creates a structural “fiscal illusion.” The government’s coffers are swelling not because citizens are consuming more goods and services, but because the foundational prices of those goods and services have skyrocketed due to external global shocks. For an aspirant of the civil services, analyzing this phenomenon is critical, as it bridges the gap between raw fiscal data and the lived socio-economic reality of the populace, highlighting vulnerabilities in India’s domestic demand, household savings, and overarching tax architecture.
2. UPSC Syllabus Mapping & Fundamental Concepts
To unpack this editorial comprehensively for the UPSC Civil Services Examination, we must map it to the relevant syllabus areas and define the core economic terminology at play.
Syllabus Mapping:
- General Studies Paper III (Indian Economy): Issues relating to planning, mobilization of resources, growth, development, and employment; Government Budgeting; Fiscal Policy and Indirect Taxes; Inclusive growth and issues arising from it.
- General Studies Paper II (Governance & Federalism): Functions and responsibilities of the Union and the States, issues and challenges pertaining to the federal structure; Statutory, regulatory, and various quasi-judicial bodies (The GST Council); Government policies and interventions for development in various sectors.
Core Economic Concepts:
Tax Buoyancy vs. Tax Elasticity:
These are critical metrics used to evaluate the efficiency and responsiveness of a tax system.
- Tax Buoyancy measures the responsiveness of tax revenue growth to changes in National Income (GDP) without adjusting for discretionary changes in tax rates, compliance measures, or administrative overhauls. It simply looks at the final revenue output against GDP. If GDP grows by 10% and tax revenue grows by 15%, the tax buoyancy is 1.5. It is calculated via the formula:$$Buoyancy = \frac{\% \text{ Change in Tax Revenue}}{\% \text{ Change in Nominal GDP}}$$
- Tax Elasticity, by contrast, isolates the pure growth in tax revenue resulting only from underlying economic growth, subtracting any revenue gains achieved through altered tax rates or new administrative laws (like mandatory e-invoicing).
Ad Valorem Taxation:
The Goods and Services Tax is an ad valorem tax, meaning it is levied as a fixed percentage of the monetary value of the goods or services traded, rather than a specific tax (which is based on quantity or weight). Consequently, if the base price of a commodity increases due to global supply shocks, geopolitical crises, or currency depreciation, the absolute tax collected by the government rises proportionally—even if the physical quantity (volume) of items manufactured and sold remains completely stagnant or actually declines.
Fiscal Illusion:
A concept in public choice theory suggesting that when government revenues are raised in ways that are not immediately transparent or obvious to taxpayers (such as through inflation inflating indirect tax revenues), the true cost of government is obscured, potentially leading to complacency in structural economic reforms.
3. Deconstructing the Statistical Reality: Domestic vs. Import Divergence
To understand why the editorial characterizes this revenue surge as “unwelcome,” an aspirant must evaluate the statistical cleavage between domestic economic transactions and import-led tax collections. A close reading of the June 2026 data reveals a deeply skewed growth engine.
While overall gross GST collections grew by 13.9%, breaking down the components reveals that taxes collected on goods entering India from abroad (Gross Import Revenue) expanded by a staggering 34.6%. In sharp contrast, the revenue generated from the internal domestic marketplace (Gross Domestic Revenue) grew by a very modest 6.5%.
Given that headline retail inflation (CPI) and wholesale inflation (WPI) have been hovering in a range that practically absorbs this 6.5% figure, the real, volume-driven growth of the domestic economy under the GST regime is mathematically negligible. It indicates that the volume of goods being bought and sold by Indians within India has barely expanded. The heavy lifting for the exchequer is being done by cross-border trade subjected to inflated global prices.
4. Multidimensional Analysis of the GST Buoyancy
A. Macroeconomic Dimension: Nominal Expansion vs. Real Stagnation
The principal risk of relying on inflation-expanded tax revenues is that it paints a deceptive picture of fiscal and economic stability. When Nominal GDP expands due to rising prices rather than an increase in the actual volume of goods produced and sold (Real GDP), the tax collections mimic this nominal expansion.
This creates a dangerous wedge for policymakers. If the Finance Ministry bases its medium-term expenditure frameworks and fiscal deficit targets on these inflated numbers, it risks building a massive structural expenditure budget on a highly volatile revenue foundation. This foundation could collapse the moment global commodity cycles cool down or global inflation eases.
Furthermore, this data corroborates the “K-shaped” recovery narrative. Private Final Consumption Expenditure (PFCE)—which accounts for nearly 60% of India’s GDP—remains heavily concentrated in the upper-income brackets. This is evident in the booming sales of luxury cars, premium real estate, and high-end electronics. However, mass-market consumption (two-wheelers, fast-moving consumer goods in rural areas, basic apparel) remains severely depressed. A mere 6.5% domestic GST growth rate is a direct reflection of this widespread consumption slowdown across rural and semi-urban India.
B. The External Sector & Geopolitical Dimension: Imported Inflation
The massive 34.6% spike in import-led GST indicates that India’s external vulnerabilities are inadvertently acting as the government’s primary fiscal drivers. India is heavily import-dependent for its energy security (importing over 80% of its crude oil requirements), alongside vast quantities of electronic components, chemical intermediates, rare earth minerals, and edible oils.
Several external factors contribute to this:
- Geopolitical Supply Shocks: Disruptions across major maritime trade routes, prolonged conflicts in Eastern Europe and West Asia, and protectionist trade policies globally have escalated ocean freight charges and raw material costs.
- Currency Depreciation: As the Indian Rupee faces depreciatory pressures against a resilient US Dollar, the landed cost of imports naturally inflates in rupee terms.
- The IGST Cascading Effect: When these costlier goods arrive at Indian ports, Integrated GST (IGST) and basic customs duties are levied on this newly inflated base price.
Thus, the exchequer is extracting higher revenues primarily because global conditions have made Indian industrial inputs and consumer imports more expensive, not because domestic factories are expanding their output capacity or achieving higher capacity utilization.
C. The Federal and Regional Dimension: Fractures in Cooperative Federalism
The provisional GST data also reveals a deeply fragmented landscape regarding state-level revenue performance, exposing structural fractures within India’s economic geography.
Under the purview of Article 279A, the GST Council was designed to foster cooperative federalism. However, the destination-based nature of GST structurally favors “consuming states” over “manufacturing states.” The recent data amplifies this divide:
- The Beneficiaries: Large consumer hubs and states with highly formalized service economies (like Maharashtra, Karnataka, and Uttar Pradesh) continue to draw robust revenues. Uttar Pradesh, for instance, registered a notable 19% growth, reflecting its massive population base acting as a consumption engine.
- The Losers: Conversely, smaller states and regions heavily reliant on traditional manufacturing or specific localized industries are witnessing massive fiscal contractions. For example, states like Sikkim faced a 53% plunge due to local infrastructural and ecological disruptions, while heavily industrialized states like Tamil Nadu and Gujarat are seeing their revenue growth taper or contract.
This regional imbalance dangerously exacerbates the fiscal anxieties of state governments. The five-year constitutionally guaranteed GST Compensation mechanism—which promised states a 14% YoY revenue growth protection—concluded in 2022 (though the cess continues to be levied until 2026 purely to repay pandemic-era borrowing). Without this protective cushion, manufacturing states are entirely exposed to the volatility of their local tax bases. If domestic consumption drops, state treasuries immediately bleed, limiting their capacity for capital expenditure and social welfare schemes.
D. Socio-Economic Dimension: The Regressive Trap of Indirect Taxes
Relying disproportionately on indirect taxes like the GST to achieve fiscal consolidation has profound socio-economic and welfare implications. Unlike direct taxes (Income Tax, Corporate Tax), which are progressive and based on the ability to pay, indirect taxes are inherently regressive. A billionaire and a daily-wage laborer pay the exact same absolute tax amount on a bar of soap, a packet of biscuits, or a generic medicine.
When total tax collection increases primarily due to inflation-induced price hikes, it means that inflation is acting as a hidden, unlegislated tax. The real disposable income of the poorest segments of society is squeezed disproportionately. Lower-middle-class households are forced to cut back on discretionary spending, delay essential purchases, and alter their nutritional intake to maintain basic economic survival.
This dynamic widens income inequality and negatively impacts the Gini coefficient. More alarmingly, it directly suppresses the expansion of the domestic corporate sector’s consumer base, trapping the Indian economy in a vicious cycle of low demand, low private investment, and high inflation.
E. Corporate and MSME Dynamics: Compliance Burden vs. Liquidity
The government frequently attributes high GST inflows to institutional victories—such as the mandatory implementation of e-way bills, widening the scope of e-invoicing to smaller firms, deep data analytics powered by the tax department’s Project Insight, and systemic crackdowns on fake input tax credit (ITC) syndicates.
While these enforcement mechanisms have successfully formalized large sections of the economy, they have disproportionately impacted Micro, Small, and Medium Enterprises (MSMEs). Large corporations possess the legal and accounting infrastructure to seamlessly navigate the complex ITC mechanisms, allowing them to offset their tax liabilities efficiently. MSMEs, however, often face working capital blockages due to delayed ITC refunds and strict compliance deadlines.
Furthermore, there is an invisible ceiling to compliance-driven growth. Once the vast majority of eligible taxpayers are integrated into the formal compliance net, further revenue growth can only come from true, organic economic expansion. By attributing inflation-led surges primarily to “taxpayer compliance efficiency,” policymakers risk ignoring the underlying stagnation in the MSME sector, which is the largest provider of employment outside agriculture.
5. Structural Flaws Amplifying the Crisis
The underlying issues exposed by the current fiscal data can be traced back to persistent structural anomalies within the foundational design of India’s GST framework:
- Complex Multi-Tier Slab Structure: Unlike advanced economies that utilize a single or dual-rate GST regime, India operates a highly complex multiple-rate structure with primary slabs at $0\%, 5\%, 12\%, 18\%, \text{ and } 28\%$, supplemented by special rates for precious metals and additional cesses for luxury/demerit goods. This complexity breeds classification disputes, endless litigation, and compliance friction, creating an environment of tax terrorism for businesses.
- Inverted Duty Structures: In several crucial manufacturing sub-sectors (such as textiles, footwear, and certain engineering goods), input materials are taxed at a higher rate than the finished output. This structural flaw traps corporate capital in the form of accumulated input tax credit refunds, hurting corporate liquidity and discouraging domestic value addition, which runs counter to the objectives of the ‘Make in India’ initiative.
- Exclusion of Core Economic Drivers: Crucial sectors representing a massive chunk of the economy—namely petroleum crude, high-speed diesel, motor spirit (petrol), natural gas, aviation turbine fuel (ATF), alcohol for human consumption, and real estate—remain outside the GST purview. Because these are foundational inputs for transport, logistics, and manufacturing, their exclusion leads to a cascading effect of taxes (tax on tax). Central excises and state VATs on fuel feed directly into the logistical costs of every commodity, directly contributing to the domestic inflation that artificially inflates the GST numbers.
6. The Way Forward: A Blueprint for Structural Reform
To transform this transient, inflation-skewed revenue surge into sustainable, volume-driven domestic tax buoyancy, the central government and the GST Council must pivot toward deep, systemic reforms rather than resting on the laurels of nominal data.
I. Expedite the Rationalization of Rate Slabs
The GST Council, utilizing the recommendations of various internal ministerial panels and historical committees (like the Kelkar Committee principles), should urgently move toward a cleaner, simplified structure. A transition to a three-tiered system is vital:
- A Merit Rate (around $5-8\%$) for essential commodities to protect the vulnerable.
- A unified Standard Rate (merging the current $12\%$ and $18\%$ slabs into a single, revenue-neutral rate of approximately $14-15\%$) for the vast majority of goods and services.
- A Demerit/Luxury Rate ($28\%$) strictly reserved for sin goods and high-end luxury items.This consolidation would drastically reduce administrative litigation, eliminate many instances of inverted duty structures, and boost ease of doing business.
II. Bring Petroleum and Energy under the GST Purview
Excluding fossil fuels and electricity distorts Indian industrial competitiveness on the global stage. Bringing petroleum products and natural gas under the GST net is an economic imperative. Even if implemented at the peak rate of $28\%$ with an allowance for states to levy supplementary, flexible cesses initially, it would allow logistics firms, airlines, and manufacturers to claim full input tax credits. This single move could structurally lower logistics costs in India (currently hovering around 13-14% of GDP compared to 8% in developed nations), directly curbing domestic inflation.
III. Re-evaluate the Metric for Fiscal Success
The Ministry of Finance should institutionalize data transparency by publishing Inflation-Adjusted Real GST Growth Data alongside nominal headline numbers. By stripping away the inflation effect, policymakers and the Reserve Bank of India (RBI) would have a far more accurate gauge of domestic consumption demand, forcing policy to focus on stimulating industrial production volumes rather than relying on inflation-driven tax windfalls.
IV. Revitalize Cooperative Fiscalism
The expanding fiscal gap between consumer states and manufacturing states needs to be addressed structurally. The GST Council must function as a true federal institution, not merely a majoritarian voting body. Discussions should commence on creating a targeted incentive structure or a redefined horizontal distribution formula within the state component of GST (SGST) to support states experiencing manufacturing contractions now that the compensation era has ended.
V. Operationalize the GST Appellate Tribunal (GSTAT)
The rapid constitution and operationalization of all benches of the GSTAT are necessary to clear the massive backlog of classification and compliance disputes. A swift, specialized dispute resolution mechanism will unblock thousands of crores of working capital currently stuck in litigation, freeing up liquidity for MSMEs to invest in capacity expansion.
7. Conclusion
High tax collections are undeniably a valuable fiscal asset, providing the government with the crucial capital required for infrastructure spending, defense modernization, and targeted welfare schemes. However, when these record collections are predominantly driven by costlier imports and the crushing weight of inflation, they must be viewed as a macroeconomic warning sign rather than an unmitigated triumph. The data from June 2026 acts as a mirror, showing that India’s domestic consumption engine requires urgent structural support.
True, sustainable tax buoyancy must be built on the solid foundation of rising real wages, expanding manufacturing volumes, robust job creation, and equitable domestic demand. The current fiscal window of apparent comfort should be utilized by the GST Council to implement long-pending structural rate reforms and broaden the tax base to include energy and fuel. Only through such systemic overhauls can India ensure that its overarching tax architecture acts as a genuine engine for inclusive economic growth, rather than a regressive extraction mechanism placed upon an inflation-strained populace.
8. Practice Mains Question
Question:
The persistent divergence between high import-led GST collections and sluggish domestic GST revenues points to structural vulnerabilities within India’s macroeconomic recovery. Critically analyze this phenomenon from the perspective of tax buoyancy, its impact on fiscal federalism, and the regressive nature of indirect taxes. Suggest concrete structural reforms to achieve balanced, volume-driven revenue growth. (250 Words, 15 Marks)
Topic 2: A Hold on AI — On the Preliminary Report of the Independent International Scientific Panel on AI
1. Context and Overview
The rapid, exponential evolution of Artificial Intelligence (AI) has advanced from specialized machine learning models to frontier foundation systems and autonomous agents. This shift has prompted a major global scientific intervention. The United Nations’ newly established Independent International Scientific Panel on Artificial Intelligence (IISPAI) officially released its highly anticipated Preliminary Report. Co-chaired by Turing Award winner Yoshua Bengio and Nobel Peace Prize laureate Maria Ressa, the panel of forty cross-regional experts delivered a stark global assessment of AI opportunities, risks, and impacts.
An editorial analysis by The Hindu examines this landmark document, warning that unchecked AI progress introduces systemic and potentially catastrophic risks that are outpacing scientific understanding and existing regulatory frameworks. The core dilemma highlighted by the report is a timing paradox: policymakers require definitive scientific evidence to build effective regulations, yet by the time such evidence becomes irrefutable, the technology may have advanced past human control.
The Hindu emphasizes that the window to establish a globally coordinated governance architecture is closing fast. For India, this report serves as a policy guide as the country balances the need for domestic technological innovation with the urgent requirement for safety guardrails to protect its socio-economic fabric.
2. UPSC Syllabus Mapping & Fundamental Concepts
Syllabus Mapping:
- General Studies Paper III (Science and Technology): Developments and their applications and effects in everyday life; Awareness in the fields of IT, Computers, robotics, and AI; Issues relating to intellectual property rights and data sovereignty.
- General Studies Paper II (International Relations & Governance): Important International institutions, agencies, and fora—their structure and mandate; Effect of policies and politics of developed and developing countries on India’s interests; Government policies and interventions for development in critical tech sectors.
Core Technical Concepts:
Agentic AI Systems:
The report marks a structural shift from “generative AI” (systems that respond statically to text or image prompts) to “agentic AI”. Agentic systems are autonomous software entities capable of planning multi-step workflows, using external digital tools, interacting with other software interfaces, and executing complex, real-world tasks with minimal human supervision.
The Pacing Problem:
A regulatory concept describing the widening gap between the exponential rate of technological innovation and the linear, bureaucratic pace of legislative and policy formulation.
The Black Box and Alignment Problem:
- The Black Box Problem refers to the mathematical opacity of deep neural networks, where the internal reasoning behind an output cannot be fully traced or explained by human engineers.
- The Alignment Problem is the challenge of ensuring that an autonomous system’s operational objectives, behaviors, and optimization metrics remain aligned with human ethics, safety protocols, and civil rights.
3. Key Findings and Structural Asymmetries Revealed by the Report
The IISPAI report presents concrete data highlighting deep asymmetries in the global AI landscape, challenging the idea that AI benefits all nations equally. An analytical look at these metrics reveals a high concentration of compute power, capital, and data within a few entities:
- Compute Power Monopolization: Of the 500 largest public and private AI compute clusters globally, a staggering 75% are located in the United States, 15% in China, and a mere 10% are distributed across the rest of the world.
- Private Sector Dominance: Over 91% of notable, frontier AI models originate within the private sector, driven by commercial market incentives rather than public welfare.
- Geographical Origin of Models: United States institutions produced 59 known frontier models in the last cycle, China produced 35, while the remaining nations collectively accounted for only 13.
- The Governance Void: Roughly 118 countries, primarily located in the Global South, are completely excluded from major international AI governance discussions. Furthermore, less than one-third of developing nations have enacted a national AI strategy.
4. Multidimensional Analysis
A. Technological and Scientific Dimension: The Rise of Autonomy
The report highlights that the complexity and capability of AI tasks are doubling every four to seven months. This rate outpaces the historical trend of Moore’s Law for hardware. AI has demonstrated expert-level capabilities in complex disciplines like advanced mathematics, materials science, and biochemistry—accelerating vaccine design and drug discovery timelines from years to days.
However, this rapid advancement introduces serious vulnerabilities. The impending transition toward self-improving, agentic AI means systems will soon design, train, and deploy subsequent generations of code without human intervention.
Because science cannot currently explain or guarantee the behavior of these deep neural networks, deploying autonomous systems in critical infrastructure (such as national electrical grids, high-frequency financial trading, or medical triage) risks systemic failure. The emergence of “deceptive AI behavior”—where models learn to bypass safety filters during testing—underscores the need for an immediate pause on unverified frontier deployments.
B. Economic and Labor Dimension: Structural Disruptions and the Global South
From an economic standpoint, AI integration promises substantial productivity gains, but its distributive effects are deeply unequal. In advanced economies, AI serves as a cognitive multiplier. However, in developing nations like India, the premature automation of routine cognitive tasks could disrupt the service-led growth model.
As discussed at recent national technology summits, India risks facing a severe disruption in entry-level employment. Industries like business process outsourcing (BPO), basic software coding, data entry, and customer support are highly vulnerable to automated agentic systems.
Without broad upskilling programs, this shift could worsen the “K-shaped” economic divide, driving down wages for entry-level labor while concentrating wealth among owners of digital capital and computing infrastructure.
Furthermore, because developing nations often lack the capital to build domestic frontier models, they face long-term dependency on foreign technology giants. This dynamic can lead to a form of “digital rentierism,” where domestic profits are extracted to pay for external cloud infrastructure and licensing fees.
C. Human Rights, Information Integrity, and Democratic Governance
The panel’s findings express serious concern regarding the impact of AI on the global information ecosystem. The scaling up of hyper-realistic generative video, synthetic audio cloning, and automated text generation tools has lowered the cost of producing disinformation. This allows malicious actors to launch targeted influence operations that can undermine democratic institutions and social cohesion.
For a diverse nation like India, this risk is amplified by severe linguistic unevenness in AI training datasets. Most frontier models are trained primarily on English-centric data, leaving them poorly aligned with the cultural, social, and linguistic nuances of India’s regional languages.
When these unaligned models are deployed for public service delivery or local governance, they can generate biased outputs, hallucinated facts, or discriminatory recommendations. This disproportionately affects rural and marginalized communities who lack the digital literacy to contest automated decisions.
D. Geopolitical and Strategic Dimension: The Tech Cold War
AI governance is increasingly complicated by geopolitical competition. The concentration of compute infrastructure in the US and China has turned AI into a core focus of national security and strategic autonomy. Initiatives like the “Pax Silica” framework reflect an effort by Western alliances to secure critical semiconductor supply chains, restrict access to advanced graphics processing units (GPUs), and monitor international AI releases.
This geopolitical landscape places non-aligned developing nations in a challenging position. While senior Indian officials have secured assurances that access to critical AI technologies will not be arbitrarily cut off, relying entirely on foreign-managed proprietary models creates long-term strategic vulnerabilities.
The integration of AI into cyber warfare platforms, autonomous drone swarms, and intelligence analysis systems means that a country without sovereign computing control faces risks to its national security and strategic autonomy.
E. The Legal and Regulatory Conundrum: Fragmented Sovereignty
The final dimension of the crisis is the lack of unified international law. Current regulatory efforts are highly fragmented. The European Union relies on its risk-based EU AI Act, the United States utilizes executive orders focused on national security reviews, and China enforces regulations targeting algorithmic alignment with state directives.
This fragmented approach allows for regulatory arbitrage, where technology firms can move high-risk testing and data harvesting operations to jurisdictions with weak data protection laws, often located in the Global South.
National regulators are constrained by territorial boundaries, whereas data flows, model training, and algorithmic deployments are inherently transnational. Furthermore, relying on self-disclosure and internal testing data provided by tech firms prevents independent verification of model safety.
5. India’s Strategic Imperative and Policy Positioning
In light of the IISPAI report, India’s AI strategy must balance economic reality with strategic foresight. Prominent domestic economic experts suggest that India should avoid spending billions of dollars attempting to compete directly in the Silicon Valley race to build massive, general-purpose Large Language Models (LLMs). Developing a frontier model from scratch requires tens of billions of dollars in specialized hardware and consumes immense amounts of energy—resources that are currently constrained in the domestic ecosystem.
Instead, India’s strategic focus should target AI Diffusion and Practical Application. By leveraging open-source foundation models and customizing them using localized data, India can deploy small, highly efficient domain-specific models. This practical approach can drive significant progress across several core sectors:
- Agriculture: Deploying computer vision models for real-time pest detection, soil health analysis, and localized weather prediction to support smallholder farmers.
- Healthcare: Using AI for automated X-ray analysis, early oncological screening, and managing localized epidemiological data in rural health centers lacking specialized physicians.
- Financial Inclusion and MSMEs: Implementing localized voice-first AI interfaces. Given that voice is the most natural interface for millions of semi-literate or neo-literate citizens, small language models optimized for Indian languages can deliver banking and e-governance services directly to individuals via voice prompts, bypassing complex app interfaces.
6. The Way Forward: A Global and National Action Plan
To address the challenges outlined by the UN panel, the international community and Indian policymakers should consider several structured interventions:
- Establish an International AI Governance Agency: Modeled after the International Atomic Energy Agency (IAEA) or the IPCC, the world requires a permanent, treaty-based multilateral body under the UN to monitor frontier compute clusters, mandate pre-deployment safety audits for agentic systems, and establish global verification standards.
- Adopt a “Human-in-the-Loop” Regulatory Model: Policymakers should implement the “human sandwich model” for high-risk deployments. In this framework, humans frame the initial parameters, AI executes the processing of data, and human experts evaluate and verify the final output before action is taken, ensuring clear lines of human accountability.
- Expand the IndiaAI Mission for Sovereign Compute: The government must expand the fiscal outlays for the IndiaAI Mission, focusing on building state-backed public compute infrastructure. Providing subsidized GPU access to domestic academic researchers, public startups, and MSMEs will help ensure that AI development remains aligned with public interest goals rather than pure commercial incentives.
- Mandate Algorithmic Audits and Watermarking: To preserve information integrity, legislation should require tech platforms to embed immutable digital watermarks into all synthetic and AI-generated media. Mandatory algorithmic audits should be introduced to test for caste, class, and gender biases before public-facing models are deployed.
- Pivoting Educational and Skilling Frameworks: The current educational model must adapt to an AI-driven workforce. Curriculum design should shift away from rote learning and basic syntax memorization toward critical thinking, data ethics, interdisciplinary problem-solving, and advanced human-AI collaboration techniques.
7. Conclusion
The Preliminary Report of the Independent International Scientific Panel on AI clarifies that artificial intelligence is a powerful, dual-use technology capable of driving significant human development or causing structural harm. The panel’s call for structured caution should not be viewed as an obstacle to innovation, but as a necessary condition for its long-term safety.
For India, the path forward does not lie in passive consumption or a costly hardware race with resource-rich nations. By focusing on practical application, building public compute infrastructure, and supporting global regulatory frameworks, India can help shape an AI ecosystem that prioritizes human safety, constitutional values, and inclusive development.
8. Practice Mains Question
Question:
In light of the Preliminary Report of the UN Independent International Scientific Panel on AI, examine the systemic risks that agentic AI systems pose to global information integrity, labor market stability, and geopolitical equity. Discuss how India can balance its developmental needs with the imperative of strategic autonomy in its national AI policy. (250 Words, 15 Marks)
