What Drives AI Adoption?
Half of businesses on Ramp now pay for AI. The strongest predictor of who adopts isn't industry or city — it's who funded the company.
Half of businesses on Ramp now pay for AI. The strongest predictor of who adopts isn't industry or city — it's who funded the company.
Businesses using AI
50.4%
Jan 2023 — Jan 2026
Business AI adoption crossed 50% for the first time in March, reaching 50.4% of businesses on Ramp. A year ago, it was 35%. Half of the companies in our panel now pay for AI — not experimenting, not piloting, but paying.
Anthropic continued its surge, growing from 24.4% to 30.6% of businesses — a 6.3-point gain in a single month. The gap between OpenAI (35.2%) and Anthropic is now just 4.6 points, down from 11 in February. At this pace, Anthropic overtakes OpenAI within the next two months.
Last month, the Defense Department designated Anthropic a supply-chain risk. A judge has temporarily blocked the designation, and reports suggest the Pentagon will let some teams keep using Claude anyway. And yet Anthropic's adoption accelerated.
Setting aside the legal question, the credibility of the threat is weakened by what businesses actually did: they shrugged it off and kept buying.
Anthropic already leads in three sectors with the highest AI adoption — information (software), finance, and professional services. That raises a sharper question: if half of businesses now pay for AI, what separates the half that does from the half that doesn't?
Ask what kind of company is most likely to use AI, and the intuitive answers sound right: tech companies, big companies, companies in San Francisco. In our data, the single strongest predictor is simpler: who funded you.
Venture capital-backed companies have an 80% AI adoption rate. Private equity-backed companies: 64%. Everyone else: 45%. It holds in every industry we track.
Even in the lowest-adoption industries, the VC effect holds. VC-backed construction firms (77%) and food companies (67%) adopt AI at rates well above their sector averages. Funding source predicts adoption better than the industry a business operates in.
Why does funding background matter this much? Part of it is selection. VCs have always backed founders they believe they can add value to — historically through advice and introductions, increasingly through tooling and technology setup. The selection runs both ways: what VC in 2026 funds a founder who isn't using AI?
VCs also function as a transmission mechanism — portfolio-wide deals, top-down directives, and a cultural expectation that you run on the latest stack. Those forces push adoption above what you'd see from organic discovery alone. PE firms have a version of this too, but the effect is weaker: PE portfolios tend to be less tech-forward and less far along the AI curve. At companies without institutional investors, the decision is left to senior leaders and teams figuring it out on their own.
Look to the early adopters. Among VC-backed firms, Anthropic already leads OpenAI. It also leads in the three highest-adoption sectors above. OpenAI still leads in every other sector. That gap won't last.
The pattern in our data is consistent: what early adopters do today, the broader market does a few months later. The early adopters are picking Anthropic.