This study assesses the AI readiness of Indian States and Union Territories through a dual-lens framework that evaluates both AI Innovation and AI Diffusion.
Strong innovation does not automatically translate into widespread adoption. Both dimensions must be assessed together to understand overall AI readiness.
Evaluate where Indian States and UTs currently stand on AI Innovation and Diffusion, mapping the full spectrum of progress across both dimensions.
Highlight state-specific strengths, weaknesses, and readiness gaps to enable targeted, evidence-based policy interventions.
Provide actionable recommendations to improve AI adoption and innovation outcomes, tailored to each state's ecosystem archetype.
Every state is scored on 33 indicators, rolled up into 9 sub-parameters across the two pillars below.
Hover over a state to see its group, Innovation score, and Diffusion score · All 36 states and UTs covered · Colour indicates group classification
Max-normalisation (0–1 scale) and logarithmic transformation applied to skewed indicators for cross-state comparability.
Weighted aggregation of indicators into sub-parameters and separate Innovation and Diffusion composite scores.
States plotted on a two-dimensional Innovation–Diffusion matrix to reveal relative positioning and divergence patterns.
Cluster-based classification of states into AI ecosystem archetypes for group-level policy recommendations.