- The median late-stage venture debt deal hit $10.8 million in Q1 2026—up sharply from recent years and the highest in a decade.
- AI companies are leading the charge, choosing debt financing to preserve equity ahead of IPO rather than dilute early investors.
- The strategy has limits: debt must be repaid, and lenders are watching AI companies’ cash burn carefully.
While some AI startups are still raising monster equity rounds—Cursor, the AI coding tool, is reportedly in talks to raise $2 billion at a $50 billion valuation—a growing number of capital-intensive AI companies are taking a different path: borrowing the money instead.
Late-stage venture debt deals hit a decade high in Q1 2026, with the median deal reaching $10.8 million and the average climbing to $68.2 million, according to PitchBook data. AI companies, burning cash faster than any previous tech cohort, are the driving force. By using debt instead of equity, they preserve ownership while still accessing the capital they need to train models and scale inference—but they also take on the obligation to repay.
The appeal is straightforward. Equity rounds dilute founders and early investors. Debt doesn’t. With AI company valuations still elevated but IPO markets selectively open, many startups are calculating that borrowing at 8-12% interest is cheaper than giving up 15-20% of the company at current valuations. “You’re essentially betting that your next equity round will be at a higher valuation than today’s,” one venture lender told PitchBook. “If that bet goes wrong, you’ve just accelerated your cash problem.”
Why AI Companies Are Especially Drawn to Debt
AI companies have always been capital-intensive—training runs cost tens of millions, and inference at scale adds ongoing expenses that traditional software businesses don’t face. But the rise of inference-optimized chips and the shift toward larger, more expensive models has raised the bar significantly. A single training run for a frontier model can cost $100 million or more. That’s a lot of equity dilution.
Venture debt lets AI companies access capital without giving up more of the table. French AI lab Mistral raised $830 million in debt financing in March, for example, to fund data center expansion. That’s not a rounding error—it’s a signal that even well-funded AI companies are choosing the debt route when they can get it.
The risk, of course, is that debt is debt. It has to be repaid, with interest. Several AI startups that raised debt in 2024-2025 are now facing the uncomfortable reality that their cash burn hasn’t slowed enough to service those loans comfortably. Lenders are watching closely. “The due diligence on AI companies has gotten much more rigorous,” another lender noted in the same PitchBook report. “Everyone wants to know how long the runway is before the equity round or the IPO.”
The trend shows no signs of slowing. With the IPO window open but valuations under pressure, expect more AI companies to fill the gap with venture debt—even as the deals get bigger. The alternative—diluting the entire cap table by 15-20% per round—adds up fast when you’re raising every 12-18 months.
For more on how AI is reshaping venture capital, see Frontierbeat’s coverage of AI startups capturing over half of all venture capital and the record $1.1 billion seed round for Ineffable Intelligence.
