The idea is to let AI take control of more resources and infrastructure,
because this allows for better scaling. The assumption is that AI's
capability will continue to rise as compute increases. According to this
trend, in two to three years, most of the fundamental infrastructure,
hardware, and company layout will be run by AI.
This trend has already started. For example, Meta's ads automation and
Axiom AI's quant solver. Jason has already mentioned this trend. Even
smaller platforms like Cursor, which controls the user terminal, fit this
pattern. The reason is simple: once AI controls these core settings, it
can create what we call "AI complete," meaning a fully closed AI loop.
This logic is similar to Anthropic's constitutional AI. The core is that
once AI controls a stage of production, that stage can be easily
reproduced and will generate feedback for AI to improve itself. This
allows AI's abilities and the scale of its influence to grow together.
This idea also matches the "bitter lesson"—focusing on letting AI merge
into core infrastructure quickly will create a new paradigm for greater
AI impact. This new paradigm will most likely emerge in an agentic form.