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 developer's role is evolving from a linear workflow (code, submit PR, get review) to a parallel one. At Block, developers now manage multiple AI agents building numerous pull requests simultaneously, acting as an editor and context-switcher rather than the sole creator.

AI assistants and mobile coding environments are overcoming the phone's traditional limitations. Users can now perform complex research, write, and even ship code during previously unproductive times like commuting, making the phone a viable tool for deep work.

The time saved replacing humans with AI is reallocated to managing, training, and iterating on those agents. This is a significant, ongoing operational cost that many overlook, requiring daily attention to prevent performance degradation and ensure alignment.

The problem with AI agents isn't getting them to work; it's managing their success. Once deployed, they operate 24/7, generating a high volume of responses and meetings. Your biggest challenge will shift from outreach capacity to your human team's ability to keep up with the AI's constant activity and output.

AI agents work so fast that they create a constant need for human input. Your role shifts to being a high-frequency decision-maker, requiring new systems like pinning important threads and setting 25-minute check-in cadences to avoid burnout and maintain velocity.

While AI agents don't argue or take unexpected vacations, they operate 24/7 and generate ideas at a relentless pace. This constant output creates a higher cognitive load and can be more tiring for managers than supervising a human team.

AI agents are not "set and forget." To maximize their high-volume output and prevent them from becoming idle, you must interact with them daily, similar to a one-on-one meeting with an employee, to provide new inputs, context, and direction.

The next leap in productivity isn't just using an AI assistant for synchronous tasks. It's becoming an "IC manager of agents," overseeing a team of 20-30 AI agents working concurrently on long-running, asynchronous tasks, creating a massive leverage factor.