AI: The Final Blow to a Job Market Already Rotten

AI doesn't just automate arms, it replaces cheap brains. An analysis of how the education system and professional retraining are insufficient in the face of AI's advance.

English · Original discussion in Spanish · Published

AI: The Final Blow to a Job Market Already Rotten

The automation of the 1980s replaced arms. Today's artificial intelligence replaces cheap brains — precisely the only 'value' the Western working masses had left after industry was offshored. The diagnosis is devastating: the education system has spent decades producing cannon fodder for a job market that no longer exists, and the 300-hour 'retraining course' cannot compete with a model that learns from the entire internet in seconds.

The 'knowledge society' trap
The very people who sold the 'knowledge society' are now selling subsidized short courses as the solution. But AI isn't coming to liberate — it's coming to hand the key to the cage to someone else. While large corporations already have algorithms making decisions above nation-states, public debate is consumed by proge controversies.

The hypertechnological future and the ultimate welfare payment
The picture taking shape is one of a hypertechnological minority and everyone else either serving coffee to the machines or living on universal basic income. The latter is nothing more than the ultimate subsidy to keep order. The script was written years ago: total technological dependence, the intellectual disarmament of the population, and a nanny state that hands out bread and streaming in exchange for autonomy. They call it pogre.

The question nobody answers is whether this model is sustainable or whether, like every bubble, it will eventually burst. Data analysis makes it clear that AI is the final blow to a system that was already limping. But what comes after? That is what no algorithm can yet predict.

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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (44 replies).

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