CONCEPT

Soldiering

Taylor's term for workers deliberately restricting output — the practice he condemned as theft, and the framework reveals, in the AI age, as a functional adaptation whose elimination produces the unlimited-demand pathology modern knowledge work now embodies.

Soldiering was Taylor's name for what he considered the root sin of industrial inefficiency: workers deliberately producing below their capacity. He identified two causes — the fear that higher output would lead to layoffs, and the informal work norms that restricted production to a customarily sustainable level. Both, in Taylor's analysis, were failures of understanding or character. The worker who restricted output was not exercising prudence but stealing from the employer. Scientific management would eliminate soldiering by making the scientifically determined standard visible, the incentive for compliance clear, and the penalty for deviation unmistakable. What Taylor could not see — what his framework was designed to prevent him from seeing — was that soldiering served a function. In a world without labor laws, informal work norms were the only protection workers had against a system that would otherwise extract labor until the laborer broke. AI eliminates the possibility of soldiering and realizes the unlimited demand Taylor refused to recognize as a problem.

In the AI Story

Hedcut illustration for Soldiering — Soldiering

Taylor's division of workers into 'first-class men' and everyone else reflected his moral framework. The first-class man produced at maximum scientifically determined capacity when properly instructed and incentivized. The soldierer produced below capacity through some combination of ignorance, ill will, and collective agreement with fellow workers. Taylor's contempt was not veiled: the worker who soldiered was not merely inefficient but dishonest, accepting wages for work he deliberately chose not to perform. The moral condemnation was necessary to the framework — it justified the elimination of the informal norms that soldiering represented.

The functional interpretation, which Taylor rejected and labor historians have since developed, sees soldiering as the only form of self-protection available to workers in a world without the eight-hour day, the weekend, the minimum wage, or enforceable health and safety regulations. The informal work norms — the collective agreements about how much constituted a fair day's labor — were dams in the river. They slowed the current enough to prevent it from sweeping workers away. The beaver's-dam logic that runs through The Orange Pill illuminates the function: small, maintained structures that redirect a force too powerful to stop, preserving the conditions within which life can sustain itself.

AI eliminates soldiering by eliminating its mechanism. The machine does not restrict output. The machine does not negotiate informal norms. The machine does not decide that today's quota is enough and stop. The machine produces until told to stop, and the human directing the machine can produce at rates no previous generation could match. The natural restriction that soldiering imposed — the human body's refusal to operate at sustained maximum — has been circumvented by a tool that operates at maximum by default. The task seepage the Berkeley researchers documented is soldiering's absence: work colonizing every marginal moment, rest disappearing without anyone taking it away, the internalized imperative converting every available second into a production opportunity.

Segal's account in The Orange Pill of working through transatlantic flights, of writing long after the exhilaration had drained away, of recognizing the pattern of compulsion but being unable to stop — this is the phenomenology of soldiering's elimination. The informal norm that would have told a factory worker 'that's enough for today' has no equivalent in the AI-augmented builder's world. The tool is always available. The work is always possible. The enforcement that soldiering provided against unlimited extraction is gone, and what replaces it is the internalized drive that Byung-Chul Han calls auto-exploitation — the worker enforcing compliance on herself, experiencing the enforcement as freedom.

Origin

Taylor discussed soldiering at length in Shop Management (1903) and The Principles of Scientific Management (1911), distinguishing 'natural soldiering' (individual tendency toward ease) from 'systematic soldiering' (collective restriction). The functional reinterpretation emerged through E.P. Thompson's work on the moral economy and continued through labor historians examining the informal norms that preceded formal labor protections.

Key Ideas

Taylor's condemnation. Soldiering was characterized as moral failure — theft from the employer, violation of the wage bargain — rather than as rational self-protection under conditions of unequal power.

The functional reinterpretation. Informal work norms were labor's substitute for institutional protections that did not yet exist, restricting output to sustainable levels when no law enforced the eight-hour day.

AI's elimination mechanism. The tool does not soldier, and the worker directing the tool loses the natural restriction that embodied refusal to operate indefinitely at maximum provided.

The new inefficiency. Unlimited production beyond the point of diminishing returns — generating work whose quality degrades as fatigue accumulates — is the specific pathology that soldiering's elimination produces.

Institutional soldiering. Structural limits on production that protect judgment quality against unlimited demand — the contemporary equivalent of the eight-hour day, now required to be rebuilt for knowledge work.

Debates & Critiques

The Berkeley researchers' proposal for 'AI Practice' — structured pauses, sequenced workflows, protected time without the machine — is the contemporary form of the collective norms Taylor despised. Whether such structures can be built through institutional commitment rather than labor struggle, and whether the struggle will prove necessary when individual willpower proves insufficient against the tool's continuous availability, remains open.

Appears in the Orange Pill Cycle

Frederick Winslow Taylor — On AI