Federico UlfoThe AI adoption funnel describes why people can experience very different levels of AI capability at the same time. Many people have little direct exposure. Casual users typically interact with short chatbot exchanges, while professionals working in code and mathematics can give agents larger projects. Internal frontier systems add another level of access.
The framework identifies three drivers of that gap. Task ambition determines how much work a system can take on. Domain matters because capabilities concentrate in digital, verifiable tasks. Access separates free products, paid tools, and internal systems.
The population estimates accompanying the funnel are rough estimates, rather than results from an adoption survey. The broader argument concerns differences in use and access, not a measured finding that anyone’s economic position is permanent.
Closing the gap requires opportunities to use capable tools on meaningful problems and assess both the results and the human effort needed to check them.
Andrej Karpathy — original AI funnel commentaryDaniel San — AI-generated illustrationSmoke-away — source commentary
