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Chronicles

The story behind the story

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As the AI industry booms, non-AI startups that raised a Series A 18 months ago are likely facing challenges in raising a Series B, even with good revenue growth

om.co/2024/08/13/a...

TechCrunch Marina Temkin

Context & Ripple Effects

The reported Series B pressure lands after years in which AI captured unusually large startup funding flows, including a record AI funding quarter in 2021. More recently, even heavily funded AI companies such as Character.AI and Aleph Alpha were reported to be struggling against better-capitalized rivals and large technology firms in the September funding-competition report.

The significance is not simply that fundraising is harder: the article identifies a split in what investors will fund at the next stage, with solid revenue growth potentially insufficient for startups outside the favored category.

First-order effects

  • Non-AI companies that raised a Series A roughly 18 months earlier may face longer, more selective Series B processes despite good revenue growth.
  • Those founders are likely to face greater pressure to demonstrate a clearer financing case than revenue growth alone before committing to expansion plans tied to a new round.

Second-order effects

  • VC firms may concentrate follow-on capacity on AI opportunities, making the financing gap more acute for portfolio companies in other software and technology categories.
  • Non-AI startups that cannot close a timely Series B may need to prioritize runway and capital efficiency over growth investments, affecting their ability to compete for customers and talent.

Third-order effects

  • If this allocation pattern persists, venture outcomes could become more bifurcated: AI-linked companies attract more capital while otherwise viable companies face a higher bar for scaling capital.
  • The pattern points to a market in which sector narrative increasingly shapes late-stage funding access alongside operating performance, though sustained revenue growth could still reassert its importance as investors test AI investments.

The trend: This is one data point in a broader concentration of venture capital around AI, reshaping the financing path for startups outside the category.

Discussion

  • @om.co @om.co on bluesky
    This was laid out in b&w in the SVB report four months ago.  Sad, that it has taken TC this long to actually talk about the “tale of two valleys”  —  om.co/2024/08/13/a...