Get your free personalized podcast brief
We scan new podcasts and send you the top 5 insights daily.
The launch of ChatGPT was a mass extinction event for a subset of SaaS. Roughly 10% of companies that solved problems now easily handled by large models became obsolete overnight. The survivors are either insulated, able to add AI as a feature, or are now threatened and must pivot to avoid the same fate.
Related Insights
The "SaaSpocalypse" is not an indiscriminate event. A clear divergence is emerging between SaaS companies that are successfully integrating AI to strengthen their business models and those legacy companies that are unable to pivot, becoming "sloppable."
Large AI labs are actively building capabilities that will directly compete with and subsume the functions of specialized SaaS companies. As Sam Altman warned, if a SaaS product doesn't improve with each new model release, the generally capable base model will eventually replicate its features, making it obsolete.
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 current AI-driven downturn in SaaS valuations will primarily eliminate low-end, commoditized tools. Large enterprise platforms are protected because implementing AI effectively is complex and requires the deep, trusted C-suite relationships and integration capabilities that incumbents possess.
The "SaaS apocalypse" will target "beta" software—tools that make companies more similar to their competitors. Conversely, "alpha" software—platforms that allow a company to express its unique strategy and competitive advantage—will thrive as AI makes customization and differentiation easier.
Anthropic's targeted AI releases for legal, cybersecurity, and COBOL are not just competing with SaaS companies; they are rendering their business models obsolete. This "SaaSpocalypse" has already wiped out over $1 trillion in market value.
AI is making core software functionality nearly free, creating an existential crisis for traditional SaaS companies. The old model of 90%+ gross margins is disappearing. The future will be dominated by a few large AI players with lower margins, alongside a strategic shift towards monetizing high-value services.
In the age of AI, 10-15 year old SaaS companies face an existential crisis. To stay relevant, they must be willing to make radical changes to culture and product, even if it threatens existing revenue. The alternative is becoming a legacy player as nimbler startups capture the market.
General-purpose LLMs from major platforms are advancing so rapidly they are leapfrogging specialized AI tools. What was a defensible product a year ago (e.g., medical scribes) is now a feature of a frontier model. This drastically shortens the window for startups to build a durable business before being commoditized.
The existential threat from large language models is greatest for apps that are essentially single-feature utilities (e.g., a keyword recommender). Complex SaaS products that solve a multifaceted "job to be done," like a CRM or error monitoring tool, are far less likely to be fully replaced.
