The evidence pillar
AI Readiness Research
Machine capability is benchmarked every week. Human readiness is benchmarked almost nowhere — least of all for the individual. This pillar measures how ready India's people actually are for the AI era, and publishes only what the data earns.
Five lenses, three tiers
Readiness looks different for each group — so we measure each on its own terms, across Tier 1, Tier 2 and Tier 3 cities, in English and Tamil.
Working Professionals
Career exposure, adoption depth, learning behaviour, willingness to act — the wedge audience, measured quarterly through Playium.
Students
Skill priorities vs. employer reality, college readiness, the year-1 to final-year confidence curve.
Parents
The analytical-thinking concern, rules at home, spending willingness — the healthy-adoption question, in parents' own words.
Teachers
The influencers of tier-2/3 adoption: classroom reality, guidance gaps, what support schools actually need.
Schools
Institutional readiness: policy, curriculum, teacher training — the difference between banning AI and teaching judgment.
Research dashboard
The honest state of our data, updated as waves complete. An empty dashboard is not an embarrassment — it is the proof that nothing here is invented.
National survey — wave 1
CollectingThree tracks open. Target: 100+ responses per segment before any finding is published.
Published findings
None yet — by designZero findings are live because zero samples are complete. The first brief ships with its methodology and raw N.
India AI Readiness Index
In designDimensions and scoring are being locked in public before the first datapoint lands.
Planned research reports
Announced now so you can hold us to them. Each publishes only when its sample is real.
- Planned
Will AI take my job? — what 100+ professionals actually said
Wave-1 professional track: anxiety vs. adoption vs. action, by tier.
- Planned
The classroom question — parents, teachers and healthy AI
The analytical-thinking concern measured, and what homes and schools are actually doing.
- Planned
India AI Readiness Index — first edition
The flagship instrument, published when every segment clears its minimum sample.
Methodology, before numbers
Consent-first collection
Anonymous by default; contact details optional and deletable. Google Forms is the wave-1 collector — zero ops, field-team friendly — with a native pipeline planned once volume justifies it.
Honest samples or nothing
100+ responses per segment before a finding is published. Every chart ships with its N, its wording and its collection window.
Research feeds the platform
Findings calibrate Playium's assessment, shape MANAM's sessions, and decide which product surfaces open next. Data has a job here — it is never decoration.