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20VC: Are OpenAI and Anthropic Overvalued? The Open-Source AI Reality | How Token Costs Will Fall 10x And Usage Will Explode 100x | The Future Is Not One AGI; It's Millions of Specialised Models with Lin Qiao, Founder and CEO @ Fireworks
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What Is the Real Bottleneck Holding Back the AI Economy?
At 1:09:21 · chapter starts 1:00:15
The quickfire round delivers some of the episode's most memorable moments. Lin admits he was wrong to fear growing too fast — aggressive AI tool adoption and a refined hiring filter for extreme ownership changed his calculus. His Jensen Huang insight crystallises into a philosophy: replying to emails in one minute isn't ego, it's the only way to maintain the information freshness needed for precise, fast leadership judgement. His biggest regret is underinvesting in marketing early, framing it not as fluff but as the discipline of educating customers on the right direction. He closes with his sharpest three-year prediction: owning your own intelligence stack will become mandatory for every company, just as owning your own software stack is today. Sponsor reads for JPMorgan, Navan, and Base44 close the episode.
Everyone talks about HBM or energy as the AI bottleneck. Lin Qiao's answer is different: the industry still has no great system designed for 10-trillion-parameter models. Closing that gap requires co-design from model to serving platform to chip system — a level of integration that doesn't yet exist.
Fireworks AI expects to at least double from $800M–$1B ARR by the end of 2026, targeting roughly $2B ARR.
Lin Qiao met George Hu, the former President of Salesforce, a year before hiring him — and turned him down because Fireworks had only 50 people. The relationship evolved through board-level advice before Hu formally joined as Fireworks crossed into hypergrowth. The lesson: build the relationship early, even if the timing isn't right yet.
Fireworks doesn't hire for competence first. They hire for extreme ownership — people who claim end-to-end problems without being asked, see them through to delivery, and treat every outcome as their own responsibility. That mindset, Lin Qiao says, compounds faster than any skill.
Jensen Huang replies to emails within one minute. Lin Qiao spent years marvelling at the sheer volume before understanding the wisdom: in a fast-moving company, information loss between layers is guaranteed. The only antidote is a leader who stays close to the ground and makes precise, fast judgements.
Just as every company builds its own software stack because its problems are unique, every company will eventually own its own AI intelligence stack. Renting general intelligence from a handful of providers will be seen as a competitive liability — not a convenience.
