Zoho's Vembu Warns 70 Cents of Every AI Dollar Is VC Money

Roughly 70 to 75 cents of every dollar spent on AI right now comes from companies spending venture capital, not revenue. That's the estimate venture capitalist Chamath Palihapitiya published on X — and Zoho founder Sridhar Vembu says he's taking it seriously enough to delay major infrastructure investments.

Vembu, who built Zoho into one of the few large privately held software companies, responded directly to Palihapitiya's post. His position: Zoho will keep funding foundational AI research and development, but it won't pour money into infrastructure until the market settles.

"As a rule, we have stayed away from monster-bets-on-other-people's-money approach to business. We are investing in foundational R&D in AI but will await a less bubblicious time to invest in infrastructure," Vembu wrote.

That's a founder with a long history of profitable, bootstrapped growth telling practitioners he sees the same warning signs he's avoided his whole career.

Where do the numbers come from?

Palihapitiya's argument rests on a three-step chain. First, 1 per cent of companies account for about 90 per cent of all AI spending. Second, roughly 80 per cent of that spending comes from unprofitable, VC-backed businesses. Put those together, and most AI dollars trace back to raised capital rather than recurring operating revenue.

"1% of companies represent 90% of AI spending. Of that 90%, 80% of this spend are from unprofitable VC backed companies. So, roughly, $0.70-75 of every dollar of AI spending right now comes from AI companies spending VC investment dollars. As a result, the revenue quality in AI is currently poor. This happened in previous cycles as well, like cloud when early users of AWS were mostly venture backed startups," Palihapitiya wrote.

Worth noting: these are attributed estimates from the discussion, not independently verified measurements of the entire AI market. Treat them as a directional claim, not audited data.

What does this change for AI buyers and investors?

The practical question is whether AI's revenue boom reflects durable demand or an investment cycle fueled by private capital. If 70-75 cents of every AI dollar is ultimately VC money, then a meaningful slice of today's AI demand depends on continued fundraising — not established businesses paying for services out of operating income.

That has two consequences. VC-funded spending can drive rapid growth in the short term, which looks great in quarterly numbers. But the same spending becomes vulnerable the moment fundraising slows or startups start cutting costs, and the revenue feeding AI infrastructure providers thins out fast.

Palihapitiya himself draws the historical parallel: early AWS customers were mostly venture-backed startups during the cloud cycle. Cloud eventually built durable, enterprise-grade demand — but only after the first wave of speculative spending washed through.

For Vembu, the conclusion is operational, not rhetorical. Zoho splits its bet: keep the R&D engine running on foundational AI work, hold back on the capital-heavy infrastructure layer until valuations and spending patterns look less inflated. It's a playbook that costs little if the boom is real and saves a lot if it isn't.

The so-what for the rest of the market: if more profitable incumbents follow Vembu's wait-and-see posture on infrastructure, the AI buildout's growth rate becomes a direct function of VC fundraising cycles — and that's a risk metric worth tracking quarterly.