[ioudep]

“Every generation of builders believed their tools defined their value.”

People anchor identity to the hardest part of their work. • Assembly → craftsmanship • Hand coding → engineering skill • Complex stacks → seniority • Writing longform → intellectual authority

The difficulty of the tool becomes proof of worth. “If few people can do this, then my contribution matters.”

So value feels intrinsic to the technical act itself.

⸻

“Then the tools got easier, faster, automated, and the definition had to change.”

Historically, this always happens.

Compilers replaced assembly expertise. Frameworks replaced boilerplate knowledge. Cloud replaced infrastructure mastery. AI replaces a lot of implementation effort.

Each time, people initially interpret it as:

the skill is dying

But what actually dies is the old measurement of importance.

Value moves up a level: from execution → judgment → direction → taste → responsibility

⸻

“But programming didn’t disappear. Writing didn’t disappear. Designing didn’t disappear.”

This rejects the common fear narrative.

The activities persist, what changes is why they matter.

You still code, but code is no longer scarce. You still write, but writing is no longer the bottleneck. You still design, but layout isn’t the achievement.

The work shifts from producing artifacts to choosing which artifacts deserve to exist.

⸻

“AI flips the equation: when creation becomes cheap, value shifts from how much you can produce to what changes because you showed up.”

This is the core claim.

Old model:

effort → output → value

New model:

judgment → outcome → value

Previously you proved worth by volume, speed, or complexity.

Now production is abundant, so the scarce thing is: causal impact

Not:

Did you make something?

But:

Did reality change because you were involved?

You’re moving from manufacturing to intervention.

⸻

“The ability to have a positive impact has actually expanded.”

So the post ends optimistic.

AI doesn’t reduce agency, it removes the cost barrier to acting.

Before: You needed a team, funding, or org permission to affect the world.

Now: A single person can teach, fix, organize, build tools, or help communities directly.

Meaning shifts from scale (reach) to consequence (effect).

⸻

In one sentence

The post argues that AI doesn’t eliminate human contribution, it removes technical scarcity, forcing value to relocate from producing things to changing outcomes.

[pona-a]

Next time you can just tell us you didn't write it.

[ioudep]

The post predicted this response