Fear and Loathing of AI (Part II): Who Actually Gets Paid

By Cliff Potts

Every technology boom tells a familiar story about opportunity.
Every technology boom leaves behind a far more reliable record about money.

If you want to understand artificial intelligence, stop listening to what is promised and start tracking who actually gets paid.

Because the winners are already visible—and they are not the people being told to “skill up.”

The money always pools upward

Across every modern tech wave, the same pattern repeats:

• Infrastructure owners get paid.
• Platform operators get paid.
• Capital that arrived early gets paid.
• Consultants, trainers, and credential sellers skim on the way down.

Everyone else competes for shrinking margins.

This was true of the internet.
It was true of social media.
It was true of apps, crypto, NFTs, and the creator economy.

AI is not an exception. It is the next iteration.

Platforms don’t create wealth — they extract it

Platforms are not neutral tools. They are rent-seeking systems.

They monetize:

• access,
• visibility,
• compliance,
• and dependence.

AI platforms are doing this faster than previous technologies because the labor they replace was already digital, already fragile, and already underpaid.

If you are required to:

• subscribe,
• certify,
• constantly re-adapt,
• and accept opaque rule changes,

you are not building wealth. You are feeding an ecosystem that profits from your insecurity.

The illusion of “early advantage”

You are told that learning AI early gives you an edge.

That sounds plausible—until history intervenes.

Early advantage only lasts when:

• the tool remains scarce,
• the rules remain stable,
• and users retain ownership.

None of those conditions apply here.

AI tools commoditize rapidly.
Interfaces simplify.
Skills flatten.
Pay compresses.

What begins as “high-value work” quickly becomes baseline expectation. The reward for early adoption is often just being first to be underpaid.

The hidden subsidy

Here’s the part rarely acknowledged:

The public subsidizes AI twice.

First, through unpaid data—writing, art, conversation, and knowledge absorbed without meaningful consent or compensation.

Second, through self-funded retraining, unpaid experimentation, and career risk transferred entirely onto individuals.

This is framed as opportunity.
In practice, it is cost externalization.

A clear-eyed assessment

AI will generate enormous wealth.

But not broadly.
Not democratically.
Not accidentally.

We know how this ends because we have watched it end this way before.

That does not mean AI is useless.
It means AI is economically honest.

It rewards control, scale, and ownership.
It punishes dependence and belief.

The only rational stance

Use AI where it genuinely helps.
Learn it where it genuinely applies.

But do not confuse:

• access with ownership,
• productivity with security,
• or hype with income.

If you are not being paid now, AI is not quietly building wealth for you later.

It is building wealth for someone else.

And history suggests they already know your name—just not as a beneficiary.

For more social commentary, please see Occupy 2.5 at https://Occupy25.com
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