Since the launch of ChatGPT in 2022, AI adoption in India has moved into the mainstream. India now accounts for about 13.5% of ChatGPT’s 700 million weekly users. By 2025, AI-related patents filed in India crossed 83,000, up from fewer than 4,000 in the preceding eight years.
About India’s AI ecosystem
AI is no longer only a tool. It operates within an ecosystem made up of:
- Labour markets
- Governance and regulation
- Digital and physical infrastructure
These parts are linked. AI changes job demand, data rules shape deployment, and infrastructure determines scale of use.
Adoption and innovation
- Nearly 70% of organisations in India now use AI-enabled products or services.
- AI use has expanded rapidly over the past three years.
- AI is used in business processes, coding, debugging and consumer-facing services.
- It is also entering education, finance, health and public administration.
Labour market features
- AI can automate routine and repetitive tasks.
- It can reduce entry-level coding and similar jobs.
- Higher-skill roles in development, maintenance and oversight remain in demand.
- Reskilling needs time, money and institutional support.
AI systems use pattern recognition from existing data. They do not reason like humans and can struggle with novel problems.
Governance and infrastructure
- Data privacy and ethical use remain major governance issues.
- Many users’ data may have entered training datasets since 2022.
- Large AI models require data centres, electricity and water for cooling.
- Data centre energy use is tied to power supply and climate concerns.
Key exam points
- India’s AI ecosystem covers labour, governance and infrastructure.
- AI adoption is widespread but uneven across income, education and regions.
- AI-related patents in India crossed 83,000 during 2019–2025.