Artificial Intelligence: From Services Enabler to Product Layer

Overview

AI in India spans three layers: infrastructure and compute, foundation and applied models, and the application layer built on top. India's competitive edge sits in applied AI and services - embedding AI into enterprise workflows, software and business processes - rather than in building frontier foundation models. Large IT-services firms and a wave of AI-native startups are both scaling capability.

Government initiatives around a national AI compute mission and sovereign-model efforts aim to build domestic capacity, while enterprises deploy AI for automation, customer service, coding and analytics. Data availability, talent depth and cost-efficient engineering are structural advantages. Monetisation is shifting from pilots toward production deployments.

The near-term value accrues to companies that operationalise AI at scale rather than to speculative model builders. Compute cost, data governance and the pace of enterprise adoption are the practical determinants of returns.

Key Players

Investment Outlook

AI is a durable multi-year theme where India's advantage lies in application and services rather than frontier research. We favour companies with real production revenue and defensible workflow integration over narrative-driven model builders.

All figures are indicative and for information only - not investment advice or a recommendation. Market sizes, growth rates and financial metrics are hedged estimates that vary by source and period. Please consult your advisor before investing.