The Hidden Capital Crunch Behind Silicon Valley’s AI Boom

Silicon Valley is moving at a pace that feels more frantic than 2021, but Ramtin Naimi argues the underlying backdrop is stronger because many of today’s AI companies are delivering real value creation, faster product-market fit, and revenue growth that is often paired with improving margins. He says the market has moved from pricing companies for a best-case $10 billion or $100 billion outcome to pricing them for trillion-dollar outcomes, with only a handful of companies likely to actually reach that scale. That shift has made early-stage pricing more erratic, with deal competition sometimes driving investors to pay 3x to 5x the next bidder just to get in.

Naimi also says the capital stack is under strain. Mega-funds are deploying faster than planned, LPs are less liquid than expected, and some startups are now being told that committed capital may not arrive for months because VCs themselves are waiting on fund closings. On the AI side, he argues compute is the real bottleneck, especially for NeoLabs and frontier-model builders that may need debt multiples far above their equity raises. He sees room for new financing structures, including compute-based funding, but says founders still prefer clean equity when possible.

At the seed stage, he thinks the best edge is still backing exceptional founders before the market sees the opportunity. He points to Conduit in brain-computer interfaces and Etched in AI chips as examples of founders who looked obvious in hindsight only after the market caught up. He says Abstract Ventures has evolved from a pure seed firm into a broader investor across seed, Series A-C, and select growth deals, while still trying to stay early to non-obvious markets.