The Doing Got Cheap. Now What?
When execution gets cheaper, judgement, direction, taste, and system design become more valuable.
Signal summary
This is a strategic signal about the changing cost structure of work. AI reduces the cost of drafting, coding, summarising, producing variants, and trying things. But cheaper doing does not automatically create better outcomes. It shifts the bottleneck upward: deciding what is worth doing, what good looks like, and what should be trusted.
Why it matters
This is one of the cleanest bridges between AI productivity content and LGI's positioning. If more people can produce more output, then the scarce layer becomes orientation: goals, standards, systems, evidence, review, and continuity.
LGI reading
LGI should speak directly to this shift. The commercial path is not selling more activity. It is helping clients create the knowledge and decision infrastructure that makes cheap execution useful rather than chaotic.
Use this if you are thinking about
AI strategy, productivity, operating models, decision quality, knowledge systems, and the future role of human judgement.
Related LGI concept
Human-in-the-Loop Systems