High Stakes in the AI Era (Image Credits: Unsplash)
New Delhi – Nilesh Shah, Managing Director of Kotak Asset Management Company, issued a stark warning on artificial intelligence’s dual role for India’s $350 billion IT sector during an interaction with ANI. The industry, which supports nearly 40 million livelihoods and generates substantial foreign exchange revenue, faces either unprecedented growth or severe disruption from AI advancements.[1] Shah emphasized that swift action could position India as a leader in the global AI landscape.
High Stakes in the AI Era
India’s IT sector has long served as an economic powerhouse, contributing $350 billion in foreign exchange earnings annually. Shah pointed out that four crore Indians rely directly or indirectly on this industry for their livelihoods. Yet, the rise of AI threatens to reshape it fundamentally.
He framed the situation bluntly: AI presents “either the opportunity of a lifetime for us or it is a risk of a lifetime.” The sector’s future hinges on proactive adaptation rather than passive response. Failure to evolve could erode jobs and revenue streams built over decades.[1]
Layering Applications on Global AI Foundations
Shah advocated for India to prioritize application development atop existing large language models (LLMs). He likened LLMs to a “highway,” suggesting entrepreneurs build services like “buses and motor cars” on it to collect “tolls” through monetization. This approach allows rapid innovation without reinventing foundational models.
Domestic examples already demonstrate promise. Voice AI platforms such as Luna and Maya One stand out for their human-like qualities, capable of singing and conveying emotions. These innovations highlight India’s talent for creating value-added applications that resonate globally.[1]
Entrepreneurs must seize this low-barrier entry to generate revenue and build scalable businesses. Such efforts could transform India from a services provider into an AI applications hub.
Prioritizing Sovereign AI Infrastructure
A secure, homegrown AI infrastructure emerged as Shah’s second pillar. He called for domestic LLMs like Sarvam to ensure data protection and eliminate backdoors. This sovereign approach would make India a reliable partner for the Global South, where trust in technology providers remains paramount.
“Can Sarvam become that alternative… where they can be reasonably assured that there is no backdoor, there is data protection, there is security,” Shah questioned. Building this capability requires investment in compute resources and model training tailored to local needs. Recent initiatives, such as Yotta’s Shakti Cloud, signal progress in this direction.[1][2]
- Develop indigenous LLMs for data sovereignty.
- Invest in secure compute clusters.
- Position India as a trusted AI exporter to emerging markets.
- Integrate with national missions like IndiaAI.
Capturing the Enterprise AI Market
Enterprise solutions represent the third frontier. Shah envisioned Indian IT firms transitioning into global providers of AI for businesses. However, enterprises adopt slowly due to data needs and security concerns.
“Enterprises take time to adopt to AI. AI requires data… Arranging data will be very important. Securing that data will also [be] important,” he noted. If successful, this shift could unlock massive opportunities: “Can Indian IT transit to become enterprise AI provider to the world? If we can… capture enterprise AI opportunity, I think this will be opportunity of lifetime for India.”[1]
Navigating Execution Hurdles
Shah acknowledged the challenges ahead. Execution demands substantial effort across policy, investment, and talent development. Data management poses a particular bottleneck, as does convincing risk-averse enterprises to embrace AI.
Still, he remained optimistic: “Is it as easy as I say? Answer is no. It will require a lot of efforts, but if we work, I think it is doable.” Coordinated action from government, industry, and startups will prove essential. Recent investments, like Adani Group’s planned $100 billion in sovereign AI infrastructure, underscore growing momentum.[1][3]
Key Takeaways
- Focus on applications, sovereign infrastructure, and enterprise AI to ascend the value chain.
- Leverage India’s talent in voice and localized models for competitive edge.
- Address data security and enterprise hesitancy to mitigate risks.
India’s IT sector teeters on the brink of an AI-driven renaissance, but only if leaders act decisively. Shah’s vision charts a path from vulnerability to dominance. What steps should India prioritize next? Share your thoughts in the comments.
