Researchers mathematically proved that AI will cause something worse than mass unemployment.
It’s called “The Tragedy of the Cognitive Commons."
For the last three years, everyone has obsessed over a single question: Will AI steal our jobs?
That’s the wrong question.
A breakthrough research paper just exposed a much darker reality.
The real danger is that AI will quietly destroy the human capacity to do anything well.
Here is how the it works.
Every industry relies on what researchers call the "Cognitive Commons”, a shared pool of deep professional expertise that regenerates itself generation after generation.
How is that expertise built?
Through friction. Through doing the boring, difficult, junior-level work. Through manual trial and error.
That is how you build "Internalized Mastery."
When companies adopt AI to automate entry-level work, the logic looks airtight on a quarterly balance sheet. Cut costs. Speed up output. Skip the grunt work.
Every individual company is making a rational choice. But collectively, they are draining the pool dry.
When you eliminate junior roles, you destroy the pipeline that creates senior experts.
The researchers call the result the Validation Tether.
Effective human oversight of AI depends entirely on deep domain expertise.
As professionals increasingly delegate thinking to machines, they lose the mastery required to spot when the AI is wrong.
The experts validating AI outputs today look competent.
The terrifying question is: Who comes after them?
When the current generation of veterans retires, who will be left with the skills to audit the systems running our economy?
Nobody.
We are trading our long-term intellectual independence for short-term productivity boosts.
Every time you let AI bypass the struggle, you are borrowing expertise from the future.
And the interest rate is your profession's ability to think for itself.
@mayemusk@SkyeZedA My daughter always says “‘n Boer maak ‘n plan, maar ‘n boervrou maak twee”, meaning a farmer makes a plan but a farmer’s wife makes two (plans)