A new feature from Codex allows AI to learn and automate tasks by observing a user's on-screen actions. This is a breakthrough for enterprises, enabling automation of workflows involving old, legacy software that lacks modern APIs—a common and significant barrier to AI integration.

The next wave of mobile apps will use AI agents to proactively perform tasks (e.g., clearing an inbox) rather than requiring user input. This 'agent-first' paradigm creates a massive opportunity for startups to disrupt incumbents, much like mobile-first apps like Instagram disrupted web-based giants like Facebook.

Dispatch redefines the role of mobile in AI workflows. It is not for doing the work, but for orchestrating multiple, independent AI task sessions running on a powerful desktop. The phone becomes a remote 'command chair,' directing heavy-lifting tasks from anywhere.

The key product innovation of Agent Skills is changing the user's perception of AI. Instead of just a tool that answers questions, AI becomes a practical executor of defined workflows, making it feel less like a chat interface and more like powerful, responsive software.

Unlike tools like Zapier where users manually construct logic, advanced AI agent platforms allow users to simply state their goal in natural language. The agent then autonomously determines the steps, writes necessary code, and executes the task, abstracting away the workflow.

Most users only scratch the surface of complex enterprise software. AI agents will bridge this gap by interpreting natural language requests and executing complex tasks on the user's behalf. This transforms the user experience from learning features to simply stating goals, unlocking decades of untapped capabilities.

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.

By giving agents control over physical or virtual smartphones, they can interact with millions of existing mobile apps via their user interfaces. The Phone Claw concept shows this bypasses the need for specific API integrations, opening a vast, untapped frontier for automation, competitive analysis, and QA testing.

When an AI agent fails to make a restaurant reservation via a website, it can create a new capability. By integrating with services like Twilio and ElevenLabs, it can make a real phone call, speak to a human, and complete the reservation, bypassing digital roadblocks without user intervention.