Unlike co-pilots that assist developers, Factory's “droids” are designed to be autonomous. This reframes the developer's job from writing code to mastering delegation—clearly defining tasks and success criteria for an AI agent to execute independently.

Don't think of AI as replacing roles. Instead, envision a new organizational structure where every human employee manages a team of their own specialized AI agents. This model enhances individual capabilities without eliminating the human team, making everyone more effective.

As AI agents take over task execution, the primary role of human knowledge workers evolves. Instead of being the "doers," humans become the "architects" who design, model, and orchestrate the workflows that both human and AI teammates follow. This places a premium on systems thinking and process design skills.

As AI evolves from single-task tools to autonomous agents, the human role transforms. Instead of simply using AI, professionals will need to manage and oversee multiple AI agents, ensuring their actions are safe, ethical, and aligned with business goals, acting as a critical control layer.

Top-performing engineering teams are evolving from hands-on coding to a managerial role. Their primary job is to define tasks, kick off multiple AI agents in parallel, review plans, and approve the final output, rather than implementing the details themselves.

Elias Torres argues that the current AI paradigm, which focuses on tools that assist humans (e.g., summarizers, drafters), is fundamentally limited. He believes true value is unlocked when you can instruct an AI to perform a task *infinitely* on its own, without requiring a human to type into a chat box for every action.

Sam Altman's ultimate vision for software isn't AI-assisted messaging but a proactive agent. Instead of managing Slack, users will state their goals for the day, and the AI will handle communication and tasks, providing batched updates. This signals a shift from augmenting existing workflows to replacing them entirely.

The next user interface paradigm is delegation, not direct manipulation. Humans will communicate with AI agents via voice, instructing them to perform complex tasks on computers. This will shift daily work from hours of clicking and typing to zero, fundamentally changing our relationship with technology.

The current model of a developer using an AI assistant is like a craftsman with a power tool. The next evolution is "factory farming" code, where orchestrated multi-agent systems manage the entire development lifecycle—planning, implementation, review, and testing—moving it from a craft to an industrial process.