MISSION 03 / INDIA 2047

AI & Technology — Responsible innovation at scale

Build responsible AI capability, research and digital infrastructure.

Illustration of AI & Technology mission
The mission in brief

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.

Our 2047 direction: Build responsible AI capability, research and digital infrastructure. Progress should be measured through outcomes experienced by people and businesses, not announcements alone.

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

2026–2030 Establish transparent baseline and test targeted interventions in ai & technology.
2030–2040 Scale independently evaluated approaches through public-private collaboration.
2040–2047 Track outcomes, address remaining gaps and update the strategy with evidence.

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

The linked sources provide context; the mission recommendations are independent editorial proposals, not endorsed by the sources.

Read the detailed research brief →