Of all generative AI use cases, code generation is advancing fastest because it's easier to test whether generated code works than to evaluate subjective writing quality.
We’re now at the point of the timeline where the LLM evolution is fundamentally changing how we work.
Early AI adopters are evolving into "agent managers" instead of just traditional knowledge workers.
Those who understand how to manage and leverage agents are already in high demand. It's creating entirely new career opportunities across every industry:
• For developers, the role shifts from writing code to architecting systems and managing AI agents that write code. • For entrepreneurs, traditional barriers to starting businesses are crumbling. • For knowledge workers, the future belongs to those skilled at delegation and orchestration rather than hands-on execution.
And it’s not just efficiency - it's about the fundamental expansion of what's possible for anyone to accomplish. We're moving from a world where your output was limited by your personal skills to one where it's limited by your ability to steer AI agents.
A single entrepreneur, armed with a fleet of AI agents, building and operating a business generating millions in revenue seems likely.
The agents handle everything from product development to customer service, marketing to operations, while the single entrepreneur, or “CEO of Agents” would handle vision and agent orchestration.