The fundamental model of AI use is changing. It's moving from 'assisted' AI, which helps humans with their tasks, to 'agentic' AI, where autonomous systems perform tasks. This paradigm shift requires new methods for adoption, management, and measuring success, moving from 'seats' to 'tokens'.

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 business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.

The traditional per-seat SaaS model is becoming a "tax on productivity" in an agent-driven world. As companies buy agents to do work instead of software for humans, the model shifts. Sam Altman's comment that every company is now an API company reflects this move from user-based pricing to value-based, programmatic access.

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.

The future of software isn't just AI-powered features. It's a fundamental shift from tools that assist humans to autonomous agents that perform tasks. Human roles will evolve from *doing* the work to *orchestrating* thousands of these agents.

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.

Instead of interacting with SaaS GUIs (like Greenhouse for hiring), users will interact with AI agents. These agents will directly manipulate the underlying system-of-record data, managing entire workflows from a simple conversation and making the traditional SaaS application redundant.

SaaS products like Salesforce won't be easily ripped out. The real danger is that new AI agents will operate across all SaaS tools, becoming the primary user interface and capturing the next wave of value. This relegates existing SaaS platforms to a lower, less valuable infrastructure layer.