Key takeaways
- Turning an idea into a working solution got roughly 10 to 100 times cheaper for people who can direct AI.
- The cheapest, fastest, best-fit builder is now the person who understands the problem.
- Cheaper building pays off only where people are allowed, able and rewarded to build. That is the catch, and why Lucy, an AI coach, exists.
The cost collapse
For all of business history, we were never short of ideas for doing things better. The people closest to the work have always known what would make it cheaper, better or faster: the report that builds itself, the handoff that stops dropping things, the tool that fits how the team actually works. What stopped us was the cost and friction of turning an idea into a working solution: a developer’s backlog, a budget line, and months of translation.
10–100x
cheaper than the old ticket-and-backlog route to a working solution, once you know how to direct AI. That’s the skill Lucy coaches.
You → a ticket → someone who never lived the problem → months → “not quite it.”
You + coaching → a working fix in hours or days.
Who builds just changed
Work that took a team and a quarter can now take one person a few days, sometimes a few hours. The biggest cost in building was explaining the problem to someone who didn’t live it. When the person with the problem can build the fix, that cost disappears.
Illustrative examples, not customer results: a salesperson builds a meeting-prep agent in about two hours of coaching, and it returns roughly 5 hours a week. A services team cuts first drafts of proposals from three or four hours to under two. Our founder built a working recruiting tool for our own hiring in about an hour.
The question that changes
The common question is “how many people can AI replace?” It assumes the pie is fixed and optimizes your slice. The better question is “what can we build now that was never worth building before?” The pie was capped by the cost of execution. The cap is gone.
The opportunities didn’t grow. The cost of reaching them collapsed.
Think of oil reserves that were always there but too expensive to reach until new techniques made them profitable. Most of the improvements people have wished for at work and at home are like that: always there, now reachable.
What “able to direct AI” means
Building with AI is not mainly about coding. It is about matching the shape of the solution to the shape of the problem. Sometimes the right answer is a single well-made prompt. Sometimes it is a repeatable workflow, a small script, or a bounded agent that runs before every meeting. Knowing which, and knowing how to check the result, is the skill.
The catch
The collapse only pays off for people who know how to build with AI. The cost of building fell; the judgment to build well did not appear on its own. And in companies, the payout is conditional: it arrives only where the people who know the work can build. In most organizations, four locks stand in the way: no one can see the real work, and people aren’t allowed, able or rewarded to build.
Next: The four locks.
Sources and notes
- The 10–100x figure is a Lucy Labs estimate from solutions built with Lucy’s coaching. Worked examples are illustrative, not claimed customer results.
Founder & CEO of Lucy Labs. Twenty years running enterprise transformation by hand in big tech and Global 2000 companies, now building it into software.
