According to a report titled The State of AI Adoption in Indian Startups 2026, which surveyed more than 200 founders and functional leaders, the gains from AI are felt across the ecosystem but remain lopsided.
When asked where AI has delivered the most measurable business impact, founders overwhelmingly pointed to gains in productivity and speed. Together, increased productivity and faster time-to-market account for 82% of all measurable impact reported. The revenue payoff, the report notes, is one that founders think will come but has not landed yet.
Vartika Bansal, AI operations partner at the VC fund, concurred, calling sales a complex function. “AI companies themselves are hiring salespeople, even in India. The biggest headcount they are actually adding is go-to-market and sales. The jobs of salespeople may have changed, but the actual job of coming and meeting someone face-to-face, building a relationship, explaining a product, that is not going away anytime soon,” she said.
Productivity a big win
Numbers show, however, that productivity gains are substantial. Three in four founders said that boosting team productivity is their top strategic AI priority for the year. Over half of all founders termed productivity as the biggest win from AI so far, with 45% saying that faster experimentation is the most unexpected benefit. They can now test 10 times more ideas than before.
“Our PMs (product managers) can launch (interactive content) in a day without any developer need. Previously, it took a minimum of seven days and one developer,” an early-stage founder is quoted as saying in the report.
In line with this, about 86% of founders said they plan to increase their AI budgets in 2026, with 53% expecting to more than double their spend. Only 4% say they plan to decrease investment. About 83% report being more excited about AI than they were 12 months ago.
Headcount consequence
The spending will reshape how these startups think about hiring. Nearly half of all founders, or 47% across the full survey, and 52% among the CEO cohort, said that they are either freezing hiring in specific functions or actively reducing team sizes. About 23% are in a wait-and-watch mode.
The most impacted function in terms of hiring reduction will be engineering, followed by marketing, customer support, and operations. Junior and entry-level roles will bear the highest impact. However, the report said this is a quiet recalibration, not a mass rejig.
Founders said they are finding that the same team size, or a smaller one, can produce meaningfully more output now, armed with AI.
How is the adoption?
Adoption seems to be uneven across functions, with engineering teams being the best adopters; 85 percent of their AI projects are already in production deployment. Product follows at 75%, and marketing sits at 48%.
Customer support, sales, finance, and HR are trailing significantly. The report said this is due to the relative immaturity of AI tools built for those functions.
Bansal added that employees have begun using the tools for everything: as an AI assistant, for drafting work emails, creating presentations, etc. The non-tech verticals are using it to make small automations for their daily tasks.
This shows that cultural resistance, once a commonly cited barrier, has largely disappeared. Only 25% of founders now cite it as a blocker. What has replaced it now is bandwidth. 53% of founders say their teams are too stretched to implement the very thing that would make them less stretched.
Companies may be moving fast to adopt AI, but that means a new kind of problem. About 54% of the surveyors said AI tools demand too much manual context to work reliably at scale, and 48% say they are waiting for the tools themselves to mature.