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Despite predictions that AI would kill traditional SaaS, spending data shows the opposite. Legacy vendors like Figma continue to grow rapidly, and seat-based contracts still comprise 60-75% of software spend. Even AI-native companies are seeing faster growth in subscription revenue than in token-based revenue.
While many SaaS vendors like Adobe and HubSpot are introducing token-based pricing for AI features, actual business adoption remains negligible at around half a percent of spend on those platforms. This signals that the predicted shift away from seat-based models is far from imminent.
The explosion of AI-powered development will increase the number of software builders from millions to over a billion. This dramatically expands the market for SaaS tools like Figma that cater to product development, turning a perceived threat into a massive opportunity.
The market narrative suggests AI will decimate SaaS companies. However, current earnings data reveals a different story. Major players like Salesforce, GitLab, Snowflake, and Datadog are still reporting strong double-digit revenue growth. This highlights a significant disconnect between speculative fear about AI replacing software and the present-day financial performance of these companies.
Despite predictions of SaaS's collapse, leading AI companies like OpenAI and Anthropic are still significant customers of traditional SaaS tools. This suggests that AI agents are augmenting, not completely replacing, established enterprise software.
Despite widespread narratives, business spending data shows no significant shift away from traditional SaaS models. The two core predictions of the "SaaSpocalypse"—the death of major SaaS players and a move away from seat-based pricing—are not supported by current business behavior.
Despite Wall Street fears that AI will decimate SaaS, public companies like GitLab (23% growth), HubSpot (20%), and Cloudflare (34%) continue to report strong revenue growth. This data indicates that the predicted mass replacement of software by AI isn't happening yet.
The idea that AI will kill SaaS is flawed. Instead, SaaS is evolving to integrate "agentic" capabilities. This creates a hybrid model where humans and AI agents collaborate within optimized workflows, delivering more value than either could alone. This fusion expands the market rather than destroying it.
The panic in SaaS is over, but the market is now split. Companies whose products are leveraged by AI agents (like Twilio and Datadog) are re-accelerating. In contrast, traditional software selling more seats to humans is seeing stagnant growth as AI token spend cannibalizes those budgets.
A 'tale of two cities' exists in SaaS. Traditional software budgets are frozen, with spending eaten by price hikes from incumbents. Simultaneously, new, separate AI budgets are creating massive opportunities, making the market feel dead for classic SaaS but booming for AI-native solutions.
As AI agents perform more work and human headcount decreases, the traditional seat-based pricing model becomes obsolete. The value is no longer tied to human users. SaaS companies must transition to consumption-based models that charge for the automated work performed and value generated by AI.