When AI Removes the First Rung: Nietzsche on Work and Human Formation
New evidence suggests AI is reducing demand for automatable roles. The deepest loss may be not a job, but the difficult apprenticeship through which competence is formed.
A new Federal Reserve Bank of Dallas analysis offers unusually concrete evidence about generative AI and hiring. Using millions of online job postings, researchers found that openings fell more in occupations whose tasks are more exposed to AI automation. Their estimates suggest a modest aggregate effect but a sharper burden on specific workers, especially people trying to enter the labor market.
The standard economic question is whether AI will destroy more jobs than it creates. Nietzsche pushes us toward another: What happens when a society automates the path by which beginners become capable?
01Work is more than output
In *The Wanderer and His Shadow* §288, Nietzsche describes machinery as impersonal. It strips work of individual pride, distinctive error and the maker's signature. Generative AI brings that pressure to white-collar labor: first drafts, routine code, summaries, research memos and visual variations.
From a productivity perspective, removing these tasks looks rational. A senior worker assisted by AI can often produce more with fewer junior hands. But junior tasks were never only cheap output. They were a school of attention.
The beginner learned by making small errors, receiving criticism, observing consequences and gradually acquiring tacit judgment. If the machine performs the codifiable work and the company hires only experienced people, it consumes a stock of expertise that it no longer knows how to reproduce.
02The danger of the missing apprenticeship
The Dallas Fed reports that more-exposed occupations saw job postings fall relative to less-exposed ones after ChatGPT's release. A separate Dallas Fed analysis argues that AI may substitute for codified knowledge associated with entry-level work while complementing the tacit knowledge of experienced workers.
This is a transition problem, but also a formation problem. Where will the experienced worker of 2036 come from if the junior worker of 2026 never receives real responsibility?
Nietzsche's *Beyond Good and Evil* §188 is useful here. He argues that long discipline and constraint can produce freedom, refinement and mastery. The point is not that suffering is inherently good. It is that capability emerges through structured resistance. A career ladder gave beginners a sequence of limited burdens through which they became less dependent on instruction.
An AI system that removes drudgery can be liberating. An organization that removes every formative difficulty creates permanent novices.
03Efficiency can waste the rarest resource
In *Daybreak* §179, Nietzsche criticizes a society that spends its most gifted minds maintaining political and economic machinery. His complaint supports automation: human intelligence should not be squandered on tasks a machine can perform.
But saved effort has no value by itself. If automation only raises output targets, narrows headcount and reserves meaningful decisions for an established elite, it does not liberate spirit. It concentrates the opportunity to develop judgment.
The strongest firms will treat AI as a redesign of apprenticeship, not the abolition of entry. Beginners can supervise model outputs, investigate failures, defend decisions to humans and rotate through real operational contexts. The task should be easier to execute but harder to understand superficially.
04A new first rung
Organizations should measure how workers acquire tacit knowledge, not only how quickly tasks are completed. They should preserve consequential practice with bounded risk, require juniors to explain and challenge AI output, and reward evidence of independent judgment.
Education must change too. Producing a polished answer is no longer proof of competence. Students need oral defense, live problem solving, field experience and projects whose constraints cannot be outsourced to a prompt.
Nietzsche would not ask us to preserve obsolete clerical work out of nostalgia. He would ask whether the new system produces stronger, more self-directing people. A technology that gives masters greater leverage while preventing novices from becoming masters is efficient only in the shortest sense.
The first rung may need to be rebuilt. It cannot simply disappear.
05Primary texts and research sources
Nietzsche, *The Wanderer and His Shadow* §288, eKGWB/WS-288 ↗.
Nietzsche, *Beyond Good and Evil* §188, eKGWB/JGB-188 ↗.
Nietzsche, *Daybreak* §179, eKGWB/M-179 ↗.
Federal Reserve Bank of Dallas: job postings show early signs of AI automation impact ↗.
Federal Reserve Bank of Dallas: AI is simultaneously aiding and replacing workers ↗.
06Editorial note
Nietzsche did not formulate labor-market policy for automation. His texts are used here to distinguish output efficiency from human formation.