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.

Agents don't operate in a vacuum; they need to act on structured, secure data stored in a durable system of record like a CRM or billing platform. Instead of replacing SaaS, agents will increase demand for platforms with robust APIs, making the future about agents *on top of* SaaS, not *instead of* SaaS.

The traditional SaaS model of bundling data, logic, and UI is being challenged. To stay relevant, SaaS companies must unbundle their core assets—like semantic models and business logic—so they can be consumed by AI agents, not just humans via a UI. This creates new agent-driven usage and business models.

The software paradigm is shifting beyond SaaS. The new era is 'software as a worker,' where autonomous 'agentic' solutions are embedded in workflows to perform tasks, driving value beyond human-led productivity enhancements and creating new economic advantages.

To avoid becoming a valueless database that AI agents simply crawl, SaaS platforms must fundamentally change. The pivot is from being a UI for human data entry to becoming an orchestration layer where humans and agents collaborate, with agents becoming the primary focus of the user experience.

The value in software is shifting from SaaS platforms (like CRMs) to the AI agent layer that automates work on top of them. This will turn established SaaS companies into simple data repositories, or "hooks," diminishing their stickiness and pricing power as agents can easily migrate data.

While users building their own tools is a risk, the more profound disruption comes from AI agents performing knowledge work autonomously. This could eliminate the need for human-centric software like project management tools entirely, as agents handle tasks, tracking, and completion without manual input.

Building a single AI tool is not enough. The real value lies in becoming the 'conductor,' creating a system that orchestrates multiple specialized AI agents to complete complex workflows. Whoever owns this coordination layer owns the entire value flow.

Simply adding a generative AI co-pilot is now table stakes for SaaS companies. The founder argues the next evolution is 'agentic AI' — systems that don't just provide insights but autonomously perform tasks and make decisions for the user, like qualifying and actioning a sales lead.