The largest opportunity for AI agents isn't just interacting with APIs but automating the trillions of dollars of knowledge work locked in legacy Windows applications. This requires giving agents "computer use"—the ability to interact with GUIs, just like a human, unlocking a massive, previously inaccessible market.

Claude's ability to control the user's screen, mouse, and keyboard is a breakthrough for enterprises. It allows the AI to operate legacy or custom-built applications that lack modern APIs. This circumvents a major roadblock to AI adoption, breathing new life into older, business-critical software systems.

Modern AI agents with 'computer use' skills can navigate websites, fill forms, and manage applications on a user's behalf. This circumvents the need for specific APIs, automating tedious personal tasks like booking flights, managing appointments across multiple email accounts, or filling out government forms.

Instead of relying on complex API integrations, companies in legacy industries like healthcare are deploying AI agents that communicate with each other using the oldest protocol: English over the public telephone network. This highlights how AI can leverage existing, universal infrastructure to get work done immediately.

AI agents are becoming the dominant source of internet traffic, shifting the paradigm from human-centric UI to agent-friendly APIs. Developers optimizing for human users may be designing for a shrinking minority, as automated systems increasingly consume web services.

The evolution of AI is moving beyond task assistance to autonomous action. Soon, agents will anticipate needs and execute tasks, like resolving a cable outage, without human intervention, making current web interfaces obsolete.

Enterprises are trapped by decades of undocumented code. Rather than ripping and replacing, agentic AI can analyze and understand these complex systems. This enables redesign from the inside out and modernizes the core of the business, bridging the gap between business and IT.

AI agents interact with software exclusively through APIs, bypassing the UI. This means a product with a dated front-end can become highly valuable and competitive in the agentic era if it exposes a robust, modern, and well-documented API layer that agents can leverage.

Contrary to the belief that AI will flatten technology stacks, history shows that layers persist because they map to organizational boundaries, compatibility needs, and human logic. Instead of eliminating them, AI agents will learn to navigate and operate within these established structures.