AI impacts startup valuations for companies that emerged before ChatGPT.

      TL;DR Over 220 former unicorns have seen their billion-dollar valuations vanish as the AI surge redirects venture capital to a select few firms. Data from PitchBook indicates that startups that last secured funding in 2021 are valued at an average of 68% less, with SaaS companies being the most impacted segment.

      The AI surge has resulted in a bifurcated startup ecosystem. Companies focused on generative AI are attracting investment at historically high valuations, whereas those that obtained funding before the launch of ChatGPT in November 2022 are facing diminishing valuations. PitchBook valuation estimates reveal that more than 220 firms previously valued in the billions have since dropped below that mark, including consumer brands like Glossier, Savage X Fenty, AG1, and The Farmer’s Dog.

      The statistics are striking: startups that last raised capital in 2021 are now worth, on average, 68% less, and those funded in 2022 have experienced a 52% drop. The deepest losses are concentrated in enterprise software, with 75 SaaS companies appearing on PitchBook’s list of fallen unicorns—double that of the next largest group, fintech firms. One of the notable names is the scheduling startup Calendly.

      Where the funding has gone

      The capital has not vanished; rather, it has shifted. In the first quarter of 2026 alone, global AI startups secured $255.5 billion, exceeding the total amount raised for AI venture funding in all of 2025. However, the distribution is highly uneven: three deals—OpenAI’s $122 billion round, Anthropic’s $30.6 billion raise, and xAI’s acquisition by SpaceX—accounted for 67% of that funding. Venture firms that initialed large investments in the winners are experiencing returns that justify increasingly concentrated bets on AI.

      The concentration permeates the entire funding ecosystem. Out of 1,546 AI deals recorded in Q1 2026, most of the capital was funneled into a select few companies. Sovereign wealth funds from Singapore, Saudi Arabia, and Abu Dhabi have emerged as significant players in AI funding, further skewing capital distribution toward a small number of firms operating at the infrastructure level.

      For startups that raised funds before ChatGPT, this concentration poses a significant threat. Venture investors, who might have previously supported a SaaS company growing at 40% annually, are now directing that capital toward AI-native firms growing at 200%. Year-over-year spending on AI solutions surged by 94% in early 2026, while traditional SaaS growth rates have dwindled to single digits for all but the most robust players.

      The SaaS reckoning

      Enterprise software firms represent the largest casualty group due to structural changes. The emergence of generative AI and coding platforms has enabled non-developers to create custom applications through natural language prompts, directly undermining the value proposition of standard SaaS products that charge between $50 to $200 per user each month.

      Consequently, the market has adjusted. Earlier this year, software stocks briefly traded at a forward price-to-earnings ratio lower than that of the S&P 500, an unprecedented occurrence. Private SaaS companies still reflecting 2021 valuations now face a significant gap between their last marked price and the actual purchase price a buyer would offer.

      This situation is self-perpetuating. These companies struggle to raise new rounds without accepting a harsh down round, which would dilute early investors and employees. An initial public offering is not feasible because the IPO market demands a compelling AI narrative, which most pre-ChatGPT SaaS companies lack. Many are also not profitable enough to remain operational without continued external funding.

      The acquisition path

      In the absence of venture funding or a feasible public offering, many fallen unicorns will likely be acquired at a fraction of their previous valuations. AI-native firms such as Cognition are now valued at $26 billion while delivering products primarily built by their own AI, establishing a standard that pre-ChatGPT startups cannot compete with in terms of technology or capital efficiency.

      Some companies may endure by pivoting aggressively into AI. Those that can restructure their core products around AI-native architectures, replace seat-based pricing with usage or outcome-based models, and demonstrate that their existing customer base offers a distribution edge for AI features have a potential path forward. However, this pivot necessitates both technical talent and financial runway, two increasingly scarce resources for firms with unviable valuations.

      The magnitude of this challenge is historically unprecedented. Earlier venture cycles produced overvalued startups—such as during the dot-com crash, the 2015 unicorn correction, and the 2022 rate shock—but none saw a simultaneous technological disruption that rendered the fundamental business models of an entire category obsolete. The prevailing victors of the AI era are achieving returns previously thought impossible three years ago, while the losers are realizing that a billion-dollar valuation from 2021 is not a foundation; it is