For the first time, the high-multiple software industry faces a potential existential threat from AI. Even the possibility of disruption is enough to compress valuations, causing massive dispersion where indices look calm but underlying sectors are experiencing extreme rotation.
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The "SaaS-pocalypse" isn't about AI replacing software overnight. Instead, AI's disruptive potential erases the decades-long growth certainty that justified high SaaS valuations. Investors are punishing this newfound unpredictability of future cash flows, regardless of current performance.
The recent software stock drawdown is not about poor current performance; many companies are still beating earnings. Instead, the market is pricing in a massive "terminal value risk" from AI, valuing companies as if they will decline in perpetuity, creating a historic disconnect between current fundamentals and long-term valuation.
AI's ability to generate software at near-zero marginal cost is erasing the scarcity premium that propelled software stocks for over a decade. This realization is causing a massive capital rotation out of software ETFs and into tangible, scarce assets like metals and commodities.
The downturn in software stocks isn't tied to current earnings. Instead, investors are repricing the entire sector, removing the premium they once paid for its perceived safety and stable, long-term contracts, which are now threatened by AI disruption.
SaaS stocks are plummeting not because of poor current earnings, but because AI's rapid advancement makes their long-term cash flows unpredictable. Investors, who once valued SaaS like a predictable government bond, now place it in a "too hard bucket," crushing its terminal value multiple.
Sridhar Ramaswamy suggests software valuation multiples are contracting because investors see through the strategy of just adding an 'AI SKU.' The market believes this approach won't win, favoring integrated, consumption-based models where customers only pay for demonstrated value from AI.
The recent software stock wipeout wasn't driven by bubble fears, but by a growing conviction that AI can disintermediate traditional SaaS products. A single Anthropic legal plugin triggered a massive sell-off, showing tangible AI applications are now seen as direct threats to established companies, not just hype.
Software has long commanded premium valuations due to near-zero marginal distribution costs. AI breaks this model. The significant, variable cost of inference means expenses scale with usage, fundamentally altering software's economic profile and forcing valuations down toward those of traditional industries.
The recent $300B SaaS stock sell-off wasn't driven by current performance. Investors are repricing stocks based on deep uncertainty about whether legacy software companies or AI-native firms will capture the value of automating human labor in the next 3-5 years.
The real SaaSpocalypse may ignite when AI labs like OpenAI or Anthropic go public. This will provide a clear alternative for investors to rotate capital directly out of legacy software stocks—which are threatened by AI—and into the very companies causing the disruption, creating a massive liquidity drain.
