(The Owl's Eye) What do you need? | Athens The News Courier
TEXT START: "We Owls try to see through the darkness of night with our giant eyes. Mostly we see goodness and kindness."
THE DISSECTION
A small-town progressive op-ed dated May 2026. The author correctly identifies the displacement mechanism (AI replaces jobs, owners pocket the margin) and makes the standard progressive complaint: capitalism concentrates gains, workers absorb losses, and nobody in power cares. He then reaches for the standard toolkit—European retraining programs, employer retraining mandates, a minimum income funded by taxation on exponentially growing AI profits, and an OJ Simpson moralistic framing ("how much does any one person need?").
The prose is earnest. The diagnostic instinct is not wrong. The proposed solutions are a century too late and structurally incoherent.
THE CORE FALLACY
The shadowing gambit assumes a stable human job destination.
"Have your unemployed worker 'shadow' another human employee in your company. This way, the employee replaced by AI can learn a new job and be ready when the current person retires."
This is the Luddite fallacy wearing a progressive costume. The author correctly calls out the original Luddite story ("there was another place in the expanding system for the industrial unemployed") as the wrong lesson—then immediately commits the same error. The coal miner could be trained to work a lathe because lathe operation required human hands and judgment. The trucker cannot be trained to shadow a human in a role that doesn't require a human. When AI automates the cognitive work—the planning, the scheduling, the exception handling, the logistics coordination—the human shadow has nowhere to go.
The author has correctly identified the problem. He has not understood that the same force displacing current workers is simultaneously closing the destination roles they would retrain into.
The exponential profit / tax revenue assumption inverts the actual mechanism.
"If profits grow exponentially, taxes to cover unemployment will give those out of a job something to take care of their families."
Under the Discontinuity Thesis, the productive participation collapse means the tax base erodes from the demand side, not the supply side. AI profits grow exponentially for owners who no longer require human labor inputs. Consumption demand—which funds government revenue—derives from wages, not robot outputs. So:
- Profits grow exponentially → concentrated in the Sovereign class
- Wages collapse → consumption contracts
- Tax revenue from wages contracts precisely when the need for transfer payments explodes
The "exponential profits fund the safety net" model worked during the Industrial Revolution because the gains were labor-augmenting, not labor-replacing. More machines meant more demand for machine-tenders, electricians, railroad workers, and steelworkers. The gains were widely distributed because the labor dependency remained. AI does not require human labor at any significant scale. The profit is not broadly taxable because the consumption it generates stays concentrated.
HIDDEN ASSUMPTIONS
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"Shadowing another human employee" assumes a stable human-only role exists in the firm that the displaced worker can enter. This ignores the simultaneous, AI-driven degradation of white-collar roles—the logistics coordinators, the schedulers, the exception handlers. The destination role is being automated at the same rate as the origin role.
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"Commensurate with his previous, now lost, position" smuggles in the assumption that commensurate employment is structurally available at scale. It is not. The DT framework establishes that the productive participation circuit severs. "Commensurate" employment of the type the author imagines—factory workers retrained into new technical roles—required a labor-intensive industrial economy. We are moving into a post-labor economy.
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The European model assumes institutional competence and political will that no longer exist at required scale. The Ruhr Valley retraining program worked because the transition was gradual, geographically contained, and occurred within a growing industrial economy where alternative demand for skilled human labor was expanding. AI displacement is not gradual. It is not contained. And the economy it creates does not require human labor inputs at scale.
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"Make that happen" in reference to "all men are created equal" assumes a political economy capable of enforcing redistribution against concentrated Sovereign power. The DT framework notes that legal and institutional inertia can delay collapse, but the political machinery to impose the author's proposed solutions is already captured, contested, or gridlocked.
SOCIAL FUNCTION
Ideological anesthetic for the worried middle.
This piece performs the essential function of making progressive-liberal readers feel like the problem is diagnosed and solvable within the existing institutional vocabulary. It says: you are right to be concerned, here is the institutional fix, America just lacks the political will. This is comforting. It is also structurally false.
The social function is transition management theater. It reassures the middle-class reader that their concerns can be addressed through retraining mandates, minimum income schemes, and moral appeals to fairness. It does not confront the structural reality that the post-WWII employment->wage->consumption circuit is being severed at its core, and that no combination of retraining and redistribution can replace what human labor previously provided: broad-based, distributed, consumption-funding economic participation.
THE VERDICT
This is a competent diagnosis of a symptom (displacement, greed, inequality) by a man who cannot see the disease (the structural impossibility of human labor ever recovering its economic role). The author has correctly absorbed the morality of the crisis—yes, the billionaire inaugural dais is obscene, yes, the Appalachian miners were abandoned—but he has not absorbed the mechanics. The mechanics are indifferent to moral appeal. The DT framework does not care that the author would prefer a just outcome.
The coal miners were abandoned because American institutions chose profit over transition. The author correctly identifies this. What he cannot see is that AI makes the retraining destination itself the thing being destroyed, at scale and speed that no institutional response can match. There is no commensurate position waiting. There is no shadow destination for 117,000 truckers—not because employers are too greedy to fund it, but because the new jobs being created by AI are the jobs AI performs.
The piece is a lament dressed as a policy prescription. It will comfort the worried. It will not save them.
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