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While many SaaS companies adapted, Chegg stands out as a true casualty of the AI shift. Its core business of providing homework answers was made obsolete by the basic capabilities of free LLMs like ChatGPT. This serves as a cautionary tale for any company whose value proposition can be replicated by a single model prompt.
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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 future of per-seat SaaS pricing is precarious. AI-driven productivity could shrink the number of knowledge workers, while LLMs can give casual users system access without a full license, eroding the user base from the periphery.
The "SaaSpocalypse" isn't indiscriminate. It specifically targets companies like Chegg, whose primary function of answering homework questions is now a free, basic feature of models like ChatGPT. This defines a clear archetype of a vulnerable business model, in contrast to SaaS with deeper, more complex moats.
SaaS companies face an existential threat not just from AI commoditizing their features, but from its shift from a workflow augmentation tool to a labor replacement tool. This fundamentally breaks traditional per-seat pricing models, which are tied to human headcount, creating a pricing crisis.
SaaS tools whose primary value is aggregating and simplifying access to public information are vulnerable to being replaced by LLMs, which excel at this exact task. Defensible moats belong to platforms with proprietary data, deep workflow integration, and high regulatory barriers, not simple information convenience.
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.
The primary threat of Large Language Models to the SaaS industry isn't that they will build better software, but that they will enable the creation of 50 to 100 competitors for every existing player. This massive increase in competition will inevitably compress profit margins for everyone.
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.
SaaS businesses thrived by organizing newly abundant information. AI now makes the creation and organization of software itself abundant, driving its cost to zero. This commoditization of the core value proposition of many SaaS companies makes them a poor venture investment category going forward.
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.
