Showing posts with label NITI. Show all posts
Showing posts with label NITI. Show all posts

Thursday, February 19, 2026

The path to net zero

(Based on NITI Aayog's Scenarios Towards Viksit Bharat and Net Zero: Macroeconomic Implications (Vol. 2), 2026)

Wednesday, December 3, 2025

India’s AI Moment: A ±5 million job swing by 2031


(Photo Credit IET)

AI (Artificial Intelligence) is no longer a future disruptor—it’s already reshaping how the world operates. For India, a country with 10–11 million tech and customer experience (CX) workers, the stakes are unusually high. AI is already reshaping how India codes, tests, designs, supports, and runs digital work. India’s millions of Tech and CX workers are at the threshold of a major transition to a future that is full of historic new opportunities and risks.

The latest report published by NITI Aayog “Roadmap for Job Creation in the AI Economy” (NITI Aayog–BCG–NASSCOM), delivers a clear message- AI can either shrink India’s tech workforce sharply by 2031—or expand it dramatically. The outcome depends entirely on what India does next.

Here are the key points highlighted in the report.

The Stakes: A ±5 Million Job Swing by 2031

India faces two sharply diverging paths:

If India does nothing:

Tech workforce drops from 7.5–8M → 6M

CX workforce drops from 2–2.5M → 1.8M

If India acts decisively:

Tech workforce grows to 10M

CX workforce grows to 3.1M

This is not about technology alone. It's about policy, skilling, and national coordination.

What AI Is Changing (Fast)

Work

AI boosts productivity across the tech value chain:

·         Code generation: +15–25%

·         Testing & documentation: +20–50%

·         Overall SDLC: +10–20%

·         CX automation: Handles majority of L1 queries

·         Routine, scalable tasks get automated first.

Worker

At risk

·         Junior QA engineers

·         L1 IT support

·         Basic CX representatives

Evolving

·         Full-stack developers

·         Data engineers

·         Cloud DevOps

·         Cybersecurity roles

·         New roles created:

·         Prompt engineers

·         AI architects

·         Ethical AI specialists

·         Quantum ML engineers

·         LLM researchers

Workforce

The pyramid compresses:

·         Fewer entry-level roles

·         Faster ramp-up

·         More judgement-led work

·         Leaner teams

·         Higher skill premium

India’s Three Big Vulnerabilities

Job Displacement Risk

·         60% of formal-sector jobs face automation risk.

·         Entry-level roles are most exposed.

Weak AI Talent Pipeline

·         Limited CS in schools

·         AI curriculum lags global benchmarks

·         Falling share of AI patents & citations

AI Talent Shortage

·         India meets only 50% of AI talent demand

·         Net negative migration of top AI researchers

·         Demand growing 25% CAGR

·         India is rich in talent, but not yet in AI-ready talent.

The Playbook: The India AI Talent Mission

A single, unified, all-of-government mission to make India the world’s AI talent capital.

Embed AI from school to university

·         Universal CS education

·         AI + X degrees

·         Scale AI PhDs

·         Faculty-industry exchanges

Make India a global AI talent magnet

·         AI Talent Visa

·         Competitive grants

·         Returnee researcher programme

·         Tier-1 AI Centres of Excellence

Build a national AI reskilling engine

·         AI Masters for working professionals

·         Sector-specific reskilling (IT, CX, BFSI, healthcare)

·         Large-scale AI literacy (PMKVY/NAPS)

Two Critical Enablers (with IndiaAI Mission)

·         Open-Source AI Commons

Public datasets, models, benchmarks

·         National Compute Grid

Affordable GPU access for students, startups, universities

Remember: Without compute + open data, talent simply migrates abroad.

The Bottom Line

AI can make India a global AI workforce hub or a net job loser

The difference rests on speed, scale, and strategic coordination.

India has the people. AI gives them leverage. A national mission gives direction.

The next 4–6 years will decide whether we ride the AI wave—or get swept under it.


Thursday, November 13, 2025

Towards a trust-based tax governance structure

Recently, NITI Aayog published a working paper titled “Towards India’s Tax Transformation: Decriminalization and Trust-Based Governance”. The paper is a follow up to the recent enactment of the Income Tax At 2025. It is an extremely important step for making the tax governance structure trust based.

The paper seeks to provide a comprehensive and critical analysis of the criminal provisions within the Income-tax Act, 2025, mapping the present extent of criminalization, documenting omissions and modifications, and recommending a trust-based regulatory transition for India’s direct tax regime.

Recognizing the evolving policy landscape which stresses ease of business, citizen-centricity, and the need to move away from “fear-based” enforcement, the paper evaluates each criminal provision through a principled criminal law-making framework rooted in jurisprudence, comparative regulatory best practices, and provides recommendations. Its central premise is that decriminalization, rationalization of punishments, and emphasis on proportionate sanctions will collectively align India’s income-tax law with the vision of a fair, accessible, and modern compliance regime.

Summary of the working paper

·         The paper argues that India’s direct tax regime historically over-criminalized even minor procedural defaults. The Income Tax Act 2025 reduces criminalization but still criminalizes 35 acts across 13 provisions.

·         Applying a principle based criminal law creation framework (harm, necessity, proportionality, intent, clarity), it proposes further decriminalization, removal of mandatory jail terms, restoring burden of proof to prosecution, clearer drafting, and periodic review.

·         It recommends prosecution should be reserved only for willful / fraudulent / significant harm behaviors. All else must be a civil penalty domain.

Strong points

The paper correctly identifies the problem of reverse burden of proof in ITA 2025.

Appropriately flags the disproportionate penalty design relative to the BNS

Correct categorization: obstruction / evasion / payment failure / public servant breach

For the first time a government working paper explicitly shifts “normative anchor” from “enforcement” to “trust”. To this extent there is a paradigm shift.

Gaps

Economic modelling absent: The paper doesn’t quantify fiscal impact of decriminalization vs retaining criminal penalty for 6 core offences. This would be a critical input for developing a policy consensus amongst various organs of the policy ecosystem.

Operational tradeoffs not analyzed: CBDT has historically used criminal threat to solve compliance capacity problem — paper assumes that trust-based regime reduces admin cost but does not model enforcement substitution cost.

Digital rights section inadequate: The section on access to passwords / virtual digital space rightly flags constitutional risk, but it does not propose a constitutional safe harbour architecture. Merely stating risk is not sufficient policy, in my view.

No sunset architecture: The Paper proposes periodic legislative review but does not create an actually enforceable review mechanism (eg automatic expiry unless reviewed).

No tiering by taxpayer class: The compliance behavior of various entities - MSME, gig, self-employed, salaried - is structurally different. A single criminalization framework may not be optimal.

No distinction between pre-assessment vs post-assessment domain: Anecdotally, most criminal threats in India are misused in pre-assessment stage. That is where maximum fear is. Paper doesn’t solve this location of harm.

Suggestions

Policy Design Enhancements

·         Create a mandatory 3 tier compliance framework

Tier 1 → civil / monetary

Tier 2 → administrative sanctions (suspension of benefits, loss of fast track processing eligibility)

Tier 3 → criminal only for fraud / fabrication / concealment > threshold

·         Make fraud the only anchor for criminal prosecution — remove “willful” / “knowledge” from the criminal domain entirely.

·         Introduce statutory requirement of “loss to revenue proven / or reasonably demonstrable” as condition precedent for criminal prosecution.

·         Introduce decriminalization sunset — every 5 years offences auto lapse unless reconfirmed.

·         Create statutory economic impact statements for introduction or retention of each criminal offence (OECD style).

·         Shift burden of proof back to prosecution & codify it explicitly.

Digital Rights

·         Separate digital compelled access into national security statute not tax statute - create clear bright line: no compelled password disclosure for tax.

·         Any digital compelled access must require judicial pre-authorisation (not officer discretion).

Conclusion

This is one of the most important tax policy drafting direction papers in the last 20 years. However, there is a risk that this remains normative but NOT enforceable reform. If NITI fixes some missing parts and layers, especially in fiscal impact modelling and behavioral economics, this could become an illustrative reform for most emerging market governments.


Wednesday, June 25, 2025

Strategy for Viksit Bharat @2047

 The Niti Aayog published a working paper titled “India’s Path to Global Leadership: Strategic Imperatives for Viksit Bharat @2047”, in April 2025. The paper presents a roadmap for India’s economic growth, encompassing sustainability, social inclusion, national security, and global leadership.

Thursday, May 15, 2025

India’s MSME Challenge

Micro, small and medium size enterprises (MSME) have been widely recognized as the core of India’s development plan. MSME are not only critical from their economic importance, but are also drivers of social development. MSMEs generate large employment; help in managing regional imbalances; help in bridging income and wealth inequalities; and most importantly, enable the large enterprises to attain competitive scale and efficiency. MSMEs contribute 30.1% to India’s Gross Value Added and 45.79% to exports (12.39 lakh crore in 2024-25).