As AI agents become primary software users, SaaS companies like Salesforce are building "headless" versions where the API is the UI. This fundamentally breaks the traditional B2B SaaS business model based on pricing per human user, forcing a shift towards consumption-based, agent-native pricing models.

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."

The rise of agentic coding is creating a "SaaSpocalypse." These agents can migrate data, learn different workflows, and handle integrations, which undermines the core moats of SaaS companies: data switching costs, workflow lock-in, and integration complexity. This makes the high gross margins of SaaS businesses a prime target for disruption.

Companies like Notion and Datadog are re-accelerating by targeting new, dedicated AI budgets. This is separate from shrinking 'efficiency tool' budgets. Growth comes from solving problems that unlock this specific new spending category, not just adding a minor AI feature.

Enterprises no longer need to buy expensive SaaS products for tasks like customer feedback. They can now spin up custom AI agents internally, making it harder for SaaS companies to acquire new customers and leading to higher-than-modeled churn. This poses a fundamental threat to the SaaS business model.

The challenge for SaaS isn't simply adding an AI agent. Growth is attacked by shrinking workforces (seat contraction), CIO budgets shifting to AI, and aggressive price hikes that eliminate upsell opportunities. This combination makes returning to the high-growth, high-NRR days of the past unlikely.

Contrary to the "SaaS-pocalypse" theory, AI agents will become a new, high-volume user base for SaaS tools. This will drive massive growth for companies that adapt their products to be usable by both humans and AI agents simultaneously.

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 indiscriminate sell-off of SaaS stocks due to AI fears is ending. A clearer picture is emerging where companies adept at integrating AI or with inherently strong business models are pulling away from those struggling to adapt. The threat is not universal destruction, but a divergence between the prepared and the unprepared.