There really are 2 different worlds of AI adoption right now. Most individuals, teams, and organizations have *finally* gotten around to implementing AI chat systems for the first time.
But this is happening at the exact same moment when itās getting clearer what the future of AI agents are going to look like.
The type ahead or chat interaction paradigm of AI maxes out at double digit productivity gains because youāre inherently rate limited by how fast you can type or interact with the system. Youāre still doing most of the work, and AI is just providing quick answers and suggestions to move you along faster.
The AI agent model, where you can run many agents in the background in parallel, actually can deliver multiples in productivity gains. Coding is where weāre seeing this first, but it will come for most categories of knowledge work.
The only trick is that itās likely not as easy to adopt as the first paradigm was, because it requires a change in workflow. But those that get there are going to see the future faster, and get more compounding returns, than those that donāt.
right now is the time where the takeoff looks the most rapid to insiders (we donāt program anymore we just yell at codex agents) but may look slow to everyone else as the general chatbot medium saturates