Generative AI

/ Adoption Tracker

Tracking the adoption and impact of generative AI among working-age adults in India. Understanding how AI is transforming work and daily life across the nation.

Survey Data from India | January 2026
Gen AI Usage
--
of working-age adults in India use generative AI
January 2026
Gen AI at Work
--
of employed respondents use generative AI for work
January 2026
Work Hours Time Saving
--
of work hours saved due to genAI adoption
January 2026
Sample Size
--
respondents from across India (weighted)
January 2026

Explore the trajectory of genAI adoption

The impact of generative artificial intelligence (genAI) on the economy depends on the speed and intensity of its adoption. This tracker reports results from a survey of working-age adults aged 18-64 in India. All statistics are weighted by age and gender to be representative of India's population.

Age:
Gender:

Share of working age adults using generative AI

Percentage of respondents who use gen AI for work, outside of work, and overall. All figures are weighted by age and gender.

View by
Overall Work/Non-Work
Usage frequency

India vs United States

How does GenAI adoption in India compare to the US? Data from GenAI Adoption Tracker (August 2025)

About This Project

This project tracks the adoption and impact of Generative AI among working-age adults in India. It is run by Kiran Garimella at Rutgers University School of Communication and Information.

The survey uses the instrument developed by the Real-Time Population Survey (RPS), a national online labor market survey of working-age adults aged 18-64 that has run in the United States since 2020. This project aims to provide similar insights into GenAI adoption for India, comparable to the US GenAI Adoption Tracker.

The project plans to collect data from N=1,000 Indians from an online sample, reweighted by age and gender. We plan to collect data every month to track trends over time.

ChatGPT Usage Data

In addition to the survey data, this project includes actual ChatGPT usage data collected by asking N=346 participants to export their complete ChatGPT conversation histories. The conversation topics were classified using the same methodology as described in "How People Use ChatGPT" by Chatterji et al. from OpenAI. This allows us to compare actual usage patterns in India with global ChatGPT usage patterns.

Get Involved

For raw data access or more insights, please contact:
kg766@rutgers.edu

If you are interested in funding this project and helping expand it to other Global South countries, please reach out to Kiran.