
What India must achieve
AI can raise productivity and improve public services, but compute, skills, trustworthy data and governance must develop together.
Build shared compute and evaluation infrastructure; multilingual public-interest datasets; applied AI labs; procurement and risk controls.
Three challenges to solve
1. AI skills and compute
For ai & technology, this is a system-level constraint. The mission proposes documenting a comparable baseline across states, identifying the institutions responsible and testing solutions before nationwide expansion.
2. Responsible use
For ai & technology, this is a system-level constraint. The mission proposes documenting a comparable baseline across states, identifying the institutions responsible and testing solutions before nationwide expansion.
3. Research commercialization
For ai & technology, this is a system-level constraint. The mission proposes documenting a comparable baseline across states, identifying the institutions responsible and testing solutions before nationwide expansion.
Priority solutions
1. Research partnerships
Develop a practical intervention around research partnerships, starting with stakeholder mapping, a clearly defined target population, implementation costs and independent measurement. Compare approaches across Indian states and relevant international peers before recommending scale-up.
2. Open innovation
Develop a practical intervention around open innovation, starting with stakeholder mapping, a clearly defined target population, implementation costs and independent measurement. Compare approaches across Indian states and relevant international peers before recommending scale-up.
3. AI safety and governance
Develop a practical intervention around ai safety and governance, starting with stakeholder mapping, a clearly defined target population, implementation costs and independent measurement. Compare approaches across Indian states and relevant international peers before recommending scale-up.
Roadmap to 2047
Outcomes to track
- AI adoption in SMEs
- research output
- AI-skilled workers
- public-service quality and audit outcomes.
Proposed first pilot
Build an open, multilingual public-service information assistant with citations, human escalation and evaluation benchmarks.
Evidence and further reading
- NITI Aayog — Strategic Imperatives for Viksit Bharat @2047
- NITI Aayog — DPI@2047 roadmap
- World Bank — India data
- NITI Aayog AI strategy
- UNESCO AI ethics.
The linked sources provide context; the mission recommendations are independent editorial proposals, not endorsed by the sources.
Read the detailed research brief →