AI dampens startup valuations for companies that were established 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 companies. Data from PitchBook indicates that startups which last raised funds in 2021 are worth, on average, 68% less, with SaaS companies bearing the brunt of the losses.

      The AI explosion has sparked a dual-speed startup ecosystem. Firms focused on generative AI are achieving historically high valuations, while those that last secured funding before ChatGPT's launch in November 2022 are witnessing a significant drop in value. PitchBook valuation estimates reveal that more than 220 companies that once reached billion-dollar valuations have fallen below that marker, including consumer brands such as Glossier, Savage X Fenty, AG1, and The Farmer’s Dog.

      The statistics are striking. Startups that last raised funds in 2021 have decreased in value by an average of 68%. Those that raised funds in 2022 have experienced a 52% decline. The brunt of the impact is felt most acutely in enterprise software, with 75 SaaS companies featured on PitchBook's list of fallen unicorns, double the number of fintech companies, the next largest category. Notable names include scheduling startup Calendly.

      Where the funds went

      The capital hasn’t vanished; it has simply shifted. In the first quarter of 2026 alone, AI startups raised $255.5 billion globally, surpassing the total venture funding for AI in all of 2025. However, this funding was unevenly distributed: just three deals—OpenAI's $122 billion round, Anthropic's $30.6 billion raise, and SpaceX's acquisition of xAI—accounted for 67% of this capital. Venture firms that initially invested in these successful companies are now seeing returns that encourage even larger investments in AI.

      This concentration is evident throughout the funding ecosystem. From the 1,546 AI deals recorded in Q1 2026, a significant portion of the capital flowed to a few companies. Sovereign wealth funds from Singapore, Saudi Arabia, and Abu Dhabi have become key players in AI funding, further skewing capital distribution towards a small number of firms operating at the infrastructure level.

      For startups that raised funds before ChatGPT, this concentration poses an existential threat. Venture investors who might have previously supported a growing SaaS company are now channeling that funding into AI-centered firms that are achieving 200% growth. Year-on-year spending on AI-native enterprises surged by 94% in early 2026, while traditional SaaS growth rates have dwindled to single digits for all but the most robust operators.

      The SaaS reckoning

      Enterprise software companies represent the largest group to be adversely affected for structural reasons. The advent of generative AI and vibe coding platforms enables non-developers to create custom applications using natural language prompts, directly challenging the value of traditional SaaS products that charge $50 to $200 per user each month.

      As a result, the market has reassessed valuations. Earlier this year, software stocks briefly traded at a forward price-to-earnings ratio lower than that of the S&P 500, a historical first. For private SaaS companies still reflecting 2021 valuations on their balance sheets, the disparity between their last marked price and what a buyer would realistically pay has become insurmountable.

      This situation is cyclical. These companies are unable to raise new rounds without accepting significant down rounds that would dilute early investors’ stakes. They are also unable to go public, as the IPO market demands a credible AI narrative, which most pre-ChatGPT SaaS companies lack. Additionally, many are not profitable enough to sustain operations indefinitely without external funding.

      The acquisition route

      In the absence of venture funding or a viable public offering, many fallen unicorns may only find exit opportunities through acquisition at significantly lower valuations. AI-native companies like Cognition are achieving valuations of $26 billion while delivering products largely powered by their own AI, establishing a benchmark that pre-ChatGPT startups cannot compete with in terms of technology or capital efficiency.

      Some companies may survive by pivoting strongly towards AI. Those that can redesign their core products around AI-native structures, shift from seat-based to usage-based or outcome-based pricing models, and showcase how their existing customer base can promote AI features, have a potential path forward. However, such pivots require both engineering expertise and financial runway, both of which are increasingly scarce for businesses with inflated valuations.

      The scope of this issue is historically unprecedented. Past venture cycles produced overvalued startups, such as during the dot-com crash, the 2015 unicorn correction, and the 2022 rate shock, but none involved a concurrent technological disruption that rendered the foundational business model of an entire category of startups obsolete. The successes in the AI era are yielding returns that would have seemed unimaginable three years ago, while the failures reveal that a billion-dollar valuation from 2021 is