In the latest AI news to shake India’s policy circles, global research and brokerage firm Bernstein has sent an open letter directly to Prime Minister Narendra Modi with a blunt message: India Must Build Domestic AI Capability or Risk Becoming a Permanent Consumer, Warns Bernstein. The letter, authored by analysts Venugopal Garre and Nikhil Arela, is one of the most high-profile calls to action on AI from a major global financial institution and it arrives at a critical moment.
The Core Warning: User vs. Creator
The central AI update in Bernstein’s letter is stark. India risks falling behind in artificial intelligence by focusing on data centres rather than building foundational technologies. While India has made strides in infrastructure spending and macroeconomic stability, most AI value creation remains concentrated in the United States and China, and the risk is that India becomes a user of these technologies without capturing a commensurate share of the upside.
This is more than an abstract concern about technology sovereignty. It has direct implications for AI in finance, IT services, and the broader knowledge economy that millions of Indian professionals depend on.
AI in Finance and Services: Jobs at Risk
A key AI news thread in the letter is the threat to India’s services sector — the very engine that created India’s middle class over the past three decades. Generative AI threatens the services sector that has powered India’s middle class for decades, with a meaningful share of roles directly exposed to automation.
AI in finance and business process outsourcing (BPO) is accelerating globally. From automated credit assessments to AI-driven customer service, the roles that once drove demand for Indian talent are being rapidly reshaped. Bernstein’s message is clear: India cannot afford to be a passive bystander in this AI update cycle.
What Bernstein Wants India to Do on AI
The letter does not just raise problems, it proposes a framework for action. Bernstein called for investments in domestic foundation models, compute infrastructure, and data governance frameworks to ensure national value capture.
In plain terms, India needs to:
- Build and own large language models (LLMs) trained on Indian languages and data
- Develop sovereign compute capacity rather than depend on foreign cloud providers
- Establish clear data governance frameworks so Indian data generates value for Indian institutions
- Invest seriously in AI research and development, where India currently lags globally
India’s Structural Challenges: The Full Picture
Bernstein’s AI warning sits within a broader diagnosis of India’s economic vulnerabilities. The letter covers several interconnected risks:
| Area | Current Status | Bernstein’s Concern | Recommended Action |
|---|---|---|---|
| Artificial Intelligence | No domestic frontier AI models | Risk of permanent consumer status | Invest in compute, domestic LLMs, data governance |
| Manufacturing | 16-17% of GDP | Shallow supply chains, slow China+1 absorption | Deepen industrial ecosystems |
| Agriculture | 42-45% of workforce, 15% of GDP | Structural inefficiency, low productivity | Reduce subsidies, expand irrigation |
| R&D Spending | 0.6-0.7% of GDP | Well below global benchmarks | Increase public and private R&D investment |
| State Cash Transfers | Rs 1.7-2.5 lakh crore annually | Crowds out capex in infrastructure | Redirect spending to higher-multiplier assets |
| Energy | High crude oil import dependence | Long-term fiscal and strategic risk | Accelerate EV transition, clean energy policy |
AI Update: Why R&D Spending Is the Linchpin
One of the most telling data points in the Bernstein letter is India’s R&D spending. India’s spending on research and development, at about 0.6-0.7 per cent of GDP, remains well below global benchmarks. By comparison, South Korea spends over 4% of GDP on R&D, Israel over 5%, and China over 2.4%. Without a significant step-up in R&D investment, India’s AI ambitions will remain aspirational rather than structural.
This AI update is directly relevant to AI in finance as well. Indian fintech and banking institutions increasingly rely on AI models developed abroad for credit scoring, fraud detection, and customer analytics. Building domestic AI capability means these institutions could eventually work with models better calibrated to Indian financial behaviour, languages, and regulatory contexts, giving India a genuine edge.
The Window Is Narrowing
Bernstein noted that India does not lack capital, talent, or ambition, what it requires now is a sharper willingness to take difficult decisions early, rather than defer them. The window to act is still open, but it is narrowing.
The latest AI news from the global stage, rapid advances in reasoning models, agentic AI systems, and AI-driven automation, makes this window smaller with every passing quarter. Countries that build domestic AI capability now will set the standards, own the data pipelines, and capture the economic upside. Those that do not will pay to access those systems indefinitely.
The Bottom Line
Bernstein’s open letter to PM Modi is one of the most significant AI updates to come from a global financial institution in the context of India’s development trajectory. The message is unambiguous: India Must Build Domestic AI Capability or Risk Becoming a Permanent Consumer, Warns Bernstein and the window to act is narrowing fast. Investing in domestic models, compute, and governance frameworks is no longer optional. For a nation with India’s talent base and data scale, falling behind in AI is a choice, not an inevitability.
