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Home Artificial Intelligence

AI Startup Funding Is Splitting Into Winners And Strugglers

Paul Femi Balo by Paul Femi Balo
September 15, 2026
in Artificial Intelligence, Startups
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In Brief
  • Now venture capital is beginning to ask which of those companies can survive when excitement is no longer enough.
  • A new Wall Street Journal venture-capital analysis says US first financings for AI companies jumped from about 2,150 in 2022 to nearly 3,400 in 2023 as...
  • But the same report says the middle of the market is now getting squeezed as venture firms become more selective and search for companies that could...

The first wave of ChatGPT-era startups was built in a hurry. Now venture capital is beginning to ask which of those companies can survive when excitement is no longer enough.

A new Wall Street Journal venture-capital analysis says US first financings for AI companies jumped from about 2,150 in 2022 to nearly 3,400 in 2023 as investors rushed into the market after ChatGPT’s breakout. But the same report says the middle of the market is now getting squeezed as venture firms become more selective and search for companies that could become truly enormous.

That is the quiet reset happening inside AI startups. Two years ago, adding generative AI to a workflow could be enough to raise money. Today, investors are asking harder questions. Does the company own distribution? Does it have proprietary data? Can it defend margins when model costs change? Can it survive if OpenAI, Google, Anthropic or Meta copy the feature?

This is not the end of AI startup funding. Far from it. Huge rounds are still happening, and investors remain hungry for companies that can sit close to infrastructure, security, enterprise workflows, defence, healthcare, finance and developer tools. The problem is that many AI application startups are starting to look too similar.

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When dozens of companies use the same underlying models to build similar copilots, assistants or agents, the strongest ones need something extra. That could be a deep customer relationship, regulatory know-how, exclusive data, workflow depth or a distribution channel that a foundation model company cannot easily replicate.

The IPO conversation around OpenAI and Anthropic also adds pressure. If the largest frontier AI companies eventually go public, they could create another wave of wealth, hiring and startup formation. But they could also make it harder for small companies to convince investors that they are building independent businesses rather than features waiting to be absorbed.

TechBooky has written about how the AI boom is changing both infrastructure and finance, from Nvidia and Anthropic’s reported IPO talks to the growing questions around AI profitability. The startup funding split is the early-stage version of the same story.

The next generation of winners will probably not be the startups that simply say they use AI. It will be the ones that use AI to change a workflow deeply enough that customers cannot easily go back. Everyone else may discover that the AI gold rush also has a very cold middle.

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Tags: AI investingAI startupsChatGPTstartup fundingventure capital
Paul Femi Balo

Paul Femi Balo

Paul Femi Balo is the founder and publisher of TechBooky. He covers artificial intelligence, African technology, digital infrastructure, enterprise technology and the global digital economy.

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