What will startups do in 2030?

AI & LLMsStartups & VCIndustry Criticism

Stancil argues that as general-purpose AI models and 'harnesses' become powerful enough to gather their own context, build their own prompts, and use their own tools, the traditional Silicon Valley everyman thesis—that a clever technologist can lever an ordinary idea into a valuable company by being the one who can actually build it—is collapsing. If you can 'buy a computer whiz in a box,' it's unclear what the next generation of normal billion-dollar startups will actually do. He frames this as an open, unanswered question about the post-2030 startup landscape.

If general-purpose AI models and harnesses can build almost anything themselves, they erode the very advantage—being the one who can build—that made the Silicon Valley everyman startup possible, leaving the next generation of founders without an obvious product to make.
  • 7

    But when you can buy a computer whiz in box, what's left for the whiz kids to build?

  • 5

    It's not that the idea was bad; it's that the idea was not the transformational advantage.

  • 7

    Flagship incubators like Y Combinator are built on the thesis that a smart kid with a computer and summer internship at Goldman Sachs can outwit all of American Express.

  • 5

    If a general harness and a general model is increasingly able to gather its own context, construct its own prompts, and use its own tools, what products still need get built on top?

  • 6

    When we are done 'agentifying' everything—especially if that happens because the models get better and the generalized harnesses can do more—what will the next wave of huge-but-not-that-huge companies do?

reflective, speculative, satirical