94%
already use AI; 53% use it daily
Test your AI skills15 questions · 5 minutes
Test your AI skills15 questions · 5 minutes
People keep asking me whether AI will change the way India works. My honest answer: it already has. What our learners told us this year isn't the story of a country waiting for that future. It's the story of a country that has quietly decided to meet it, on its own terms.
What stood out most was how widely that decision has spread. This isn't the outcome of one group. Young people entering the workforce treat AI as a first language, something to be fluent in before their first job, not after it. Experienced professionals are using it to go deeper, taking on work they'd once have handed to someone else. Newcomers and veterans, learning side by side, for different reasons and with the same seriousness.
And it isn't only a big-city story. Some of the most determined learning we see is happening well beyond the metros, in the tier two, tier three and tier four towns where ambition has always run ahead of access. When the tools and the guidance reach those places, people move fast. For me, that's the most encouraging part of the whole picture.
One pattern runs through all of it. The more someone commits to learning, the more they get back: in confidence, in capability, in the work they can take on. Curiosity opens the door. Structure and guidance are what carry people through it. That belief sits at the centre of what we're building.
That same belief shapes what we build at upGrad. The Microsoft collaboration we began last year already puts capable tools in our learners' hands, and we're working to bring OpenAI into the fold as well. New platforms like upGrad RISE carry serious, aspirational learning into India's smaller cities, so a young person there can pursue what was once out of reach.
I'm grateful to everyone who shared their story with us. What comes through is a country that has decided, on its own, that this skill is worth the work. Now the real work begins, for all of us: widening the road so many more can travel it. Excited for what's ahead.
A survey of 2,075 upGrad learners across career stages and cities. Here's what stood out.
Ninety-four percent of learners already use AI, and more than half use it every day.
Eighty-seven percent are already upskilling or actively planning to.
Half now do work once beyond them, and 54% report a concrete career result.
Learners in a programme build with AI at 2.7× the rate of those who do not.
The most common obstacle is simply knowing where to start, cited by 56%.
Every dot on this page is one of the 2,075 people we surveyed. Right now they're sorted by whether they use AI at all — the small cluster adrift is the 6% who don't. This cuts across every career stage and city in the sample.
Nearly everyone uses AI. But are they actively learning it?
India is learning. Is the learning paying off?
Confidence is rising. But does effort decide who gets ahead?
Behind this section the field has split in two: the 27% of enrolled learners who have built something real, against the 10% among those doing neither. That distance is the report.
If effort decides outcomes, the last job is clearing what blocks the effort.
Adoption is near-universal, upskilling is mainstream, and the payoff is already showing for those who commit. The work ahead is not convincing people to start; it is clearing the path so that more of them reach the point of building.
Benchmark your own AI journey — from everyday use to building your first agent — in two minutes.
2,075 responses across two forms — 645 working professionals and 1,430 degree/early-stage learners. This is a convenience sample of upGrad learners across career stages and cities, and is not a national census; it describes an engaged learning population rather than the country as a whole. Headline figures use the full sample; proof points labelled "professionals with 8+ years" refer to 621 respondents in the "8–12" or "12+" bands, pooled across forms (the survey's nearest cut to "7+"). Each exhibit states its base.
| Group (chart label) | n | Definition |
|---|---|---|
| Early-stage | 862 | Student or less than 1 year |
| Mid-career (1–7 yrs) | 592 | 1–3 + 4–7 years |
| 8+ years | 621 | 8–12 + 12+ years |
Use AI 94% · daily 53% · enrolled or exploring 87% (neither 13%) · 3+ hrs/week 22% · any career result 54% · work once out of reach 49% · more confident 37%.
| Outcome | Enrolled | Exploring | Neither |
|---|---|---|---|
| Use AI daily | 62% | 49% | 36% |
| Built an agent | 27% | 15% | 10% |
| More confident at work | 41% | 35% | 27% |
| Any career result | 58% | 52% | 47% |
| More secure about career | 47% | 44% | 37% |
| n | 931 | 874 | 270 |
"Use AI" (94%) means any frequency except never; "daily" (53%) is daily-or-more — the two are distinct. Relationships between upskilling and outcomes are associations, not causation: people who enrol in a programme may differ from those who do not in ways this survey does not measure.
The animated field behind this report is a data visualisation, not decoration: it renders a sample of the 2,075 respondents and re-forms into each section's distribution as you scroll. Particle counts are proportional to the stated percentages.