Pre-ChatGPT Startups Spawn 220 Fallen Unicorns as AI Slashes Valuations by Up to 68%
Updated
Updated · CNBC · Jun 1
Pre-ChatGPT Startups Spawn 220 Fallen Unicorns as AI Slashes Valuations by Up to 68%
1 articles · Updated · CNBC · Jun 1
More than 220 U.S. startups once valued above $1 billion have become “fallen unicorns,” stranded as generative AI reshapes venture funding and leaves older companies unable to justify boom-era prices.
PitchBook says nearly half of the 857 U.S. unicorns have not raised money in three years; startups last funded in 2021 are worth 68% less on average, and 2022 vintages are down 52%.
ChatGPT’s arrival in 2022 redirected capital toward AI-native firms such as OpenAI and Anthropic, while making pre-AI products and staffing models look bloated—especially in SaaS, which accounts for 75 fallen unicorns.
Well-known names on the list include Glossier, Betterment, SeatGeek and Savage X Fenty, and investors say many older startups now face discounted sales rather than fresh funding or viable IPOs.
The reset could deepen as AI coding tools and autonomous agents erode the old logic behind software valuations, pushing surviving companies toward leaner teams and outcome-based pricing.
As AI fuels record profits and layoffs, is it a productivity tool or a pretext for a massive workforce reset?
Is the generative AI boom a true revolution or an unsustainable, debt-fueled bubble on the verge of bursting?
The $8 Trillion AI Surge: Startup Valuations, Fallen Unicorns, and the New Rules of Venture Capital in 2026
Overview
As of June 2026, the global startup and venture capital ecosystem is experiencing a major shift driven by generative AI. The era of inflated valuations for pre-AI unicorns, especially in SaaS, has ended as asset prices no longer match real value and the bubble has burst. Traditional tech companies are being re-evaluated, while AI-native innovators are attracting record investment and soaring valuations. This revaluation is especially harsh for 'wrapper companies' that simply repackage existing AI, highlighting the need for true innovation. The landscape now rewards companies with proprietary AI, marking a clear divide between old and new tech leaders.