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Chronicles

The story behind the story

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“Last call!” — Valuations for later-stage tech companies are finally receding, say Silicon Valley dealmakers

Fear and sadness in Silicon Valley  —  Every couple of months I leave my small Massachusetts town — where most people still shop for their own groceries …

Fortune Dan Primack

Context & Ripple Effects

The Fortune piece lands at the front end of a correction dealmakers had been telegraphing: by December of that same year, technology investors were already describing a broad cooling in Silicon Valley, with lower marks even for top-tier names and real trouble for weaker startups. The article's 'last call' framing is about late-stage private pricing catching down to reality after an extended run-up.

What makes this story durable is how often the pattern repeats: venture firms cut back and renegotiate funding deals when public tech comps slide (the 2022 version), workers dump shares into thinning secondary markets as IPOs stall (per brokers and investors in late 2022), and startups announce job cuts and spending freezes to prove cost discipline to would-be backers during the pandemic squeeze.

First-order effects

  • Later-stage companies raising new rounds now face lower marks and harder terms from Silicon Valley dealmakers who had previously bid prices up — the immediate hit falls on unicorns priced off momentum rather than fundamentals.

Second-order effects

  • Weaker startups lose access first as capital retreats to top-tier names, and employees holding richly valued paper start looking for liquidity through secondaries before marks fall further — a dynamic that compounds downward pressure once it starts.

Third-order effects

  • If the cycle holds across episodes, each correction forces the industry to relearn the lesson Bloomberg framed in 2022: inflated valuations and overzealous funding eventually get reckoned with, pushing companies toward revenue-producing products over spectacle projects like self-driving cars and metaverses.

The trend: Private tech valuations move in recurring boom-correction cycles in which late-stage marks are the last to rise and the first to crack whenever public comps fall and exit windows narrow.