AI makes it very easy to increase the amount of work. More drafts. More ideas. More tests. More files.
But more is not always progress. In the AI era, cost awareness and completion matter more than volume.
AI lowers the cost of starting
Starting is now cheap. You can ask AI to make a draft, a plan, a list, or a prototype.
That is useful. But it also makes it easy to start too many things.
The hidden cost appears later. Someone still has to check, edit, publish, maintain, and decide whether the work was worth doing.
Completion is the scarce skill
The value is not in generating ten ideas. The value is in choosing one and finishing it.
For blog work, that means publishing. For code work, that means verifying. For planning, that means deciding the next step.
AI helps most when it supports completion.
I now ask about cost earlier
Before using AI, I try to ask:
- What will this create?
- Who will check it?
- What is the finish line?
- Is this worth finishing today?
These questions prevent AI from making work look cheaper than it really is.
The practical rule
Use AI to reduce unfinished work, not to increase it.
Original Japanese Article
This article is based on the Japanese post: AI時代に大事なのは増やすことではない。コスト感と完遂力の話.
