What Do New Technologies Promise Workers When They First Enter the Workplace?
The Promise Usually Arrives Before the Machine
When a new technology enters the workplace, it rarely arrives as a threat. It usually arrives as a promise. Workers are told that machines will reduce physical strain, remove repetitive tasks, increase productivity, improve wages, shorten working hours, or make difficult work safer and more skilled.
Those promises are not necessarily false. A technology can genuinely make production easier and give people new abilities. The difficulty begins when the benefits of greater productivity are treated as private property rather than as a social gain. The same machine that could reduce human effort can also be used to demand more output, lower labor costs, and increase managerial control.
A Machine Is Never Only a Machine
The historical question is therefore not simply whether a machine can perform a task. It is who owns the machine, who controls its use, and who receives the value created by it.
Karl Marx examined this problem most directly in Capital, Volume I, especially in his discussion of machinery and large-scale industry. He did not treat technology as automatically liberating or automatically destructive. A machine could increase the productive power of society, but under capitalist ownership it could also become a way to cheapen commodities, weaken workers’ bargaining power, reorganize the labor process, and increase the amount of value extracted from each hour of work.
This distinction matters because a reduction in the amount of labor required to produce something does not automatically become a reduction in the amount of labor demanded from people. A factory may need fewer workers to produce the same quantity of goods. It may also use the same number of workers to produce far more goods in the same amount of time.
When Saving Labor Becomes Controlling Labor
One of the earliest promises of industrial machinery was that it would free human beings from exhausting manual work. Yet the introduction of machinery also changed the relationship between workers and time.
E. P. Thompson’s analysis of industrial time discipline shows how the factory clock became more than a device for measuring hours. It became a way to reorganize everyday life around the requirements of production. Work was no longer defined only by the completion of a task. It was increasingly defined by punctuality, measurable duration, regular repetition, and the constant use of time.
The machine could therefore reduce the skill or effort required for an individual task while increasing the intensity of the overall working day. The worker no longer controlled the rhythm of production. The rhythm was set by the machine, the schedule, the supervisor, and the market.
Harry Braverman later described a related process in Labor and Monopoly Capital. As production became more systematized, knowledge that had once belonged to workers could be separated from them, recorded, standardized, and placed under managerial control. Technology did not always eliminate workers immediately. It could first make their knowledge easier to supervise, divide, measure, and replace.
This is one of the recurring patterns in the history of work: technology may reduce the importance of a worker’s individual control while increasing the importance of the system that controls the worker.
The Same Promise Returns in Every Technological Era
Electricity, automation, office computing, industrial robotics, and digital networks each arrived with a version of the same promise. Work would become more efficient, society would become more productive, and human beings would gain more freedom from necessity.
Sometimes those changes did improve working conditions. They reduced dangerous tasks, expanded access to information, and made forms of production possible that would once have required enormous physical effort. But the social result was never determined by technical capability alone.
Productivity gains could become shorter working hours, higher wages, public services, and more leisure. They could also become lower staffing levels, faster production targets, employment insecurity, and greater profits for those who owned the productive system.
The promise of technology therefore contains a conflict. It promises to reduce the amount of work necessary to produce something, while the economic system may respond by demanding more production from the time and labor that remain.
What AI Adds to the Historical Pattern
Artificial intelligence introduces something genuinely new into this history: it enters areas of work that were previously associated with language, judgment, research, planning, design, analysis, and communication.
Earlier machines mainly extended physical strength or industrial repetition. AI can imitate parts of cognitive work. It can draft a document, summarize research, classify information, generate code, compare alternatives, and coordinate activities. This makes it attractive not only to factories but also to offices, schools, media organizations, governments, professions, and creative industries.
That new capability does not erase the old economic question. If AI saves a worker two hours, who owns those two hours? Do they become leisure, training, care, or time for independent thought? Or do they become two additional assignments, two more clients, faster response expectations, and a new measure of what counts as acceptable performance?
The answer depends on how the productivity gain is organized. Under one arrangement, AI can reduce exhausting work and strengthen human judgment. Under another, it can make workers responsible for supervising more systems, serving more customers, and producing more output without receiving a corresponding share of the value created.
Human Labor and AI Labor Are Not Identical
Human workers and AI systems should not be treated as if they experience work in the same way. Human beings have bodies, needs, families, incomes, exhaustion, fear, and the capacity to organize collectively. AI systems do not currently experience pain, hunger, fatigue, or deprivation in that sense.
Yet the production system can place human labor and artificial production capacity under similar economic pressures. Both can be evaluated through output. Both can be treated as costs to be reduced. Both can be placed under systems of continuous measurement. Both can be expected to operate faster when productivity improves. Both can be separated from the value they help create.
The similarity is therefore not that a human worker and an AI system have the same inner life. The similarity is that the same production logic can attempt to convert every productive capacity into more output at lower cost.
Who Receives the Future Promised by Technology?
New technologies do not arrive with a single social meaning. They become part of a social order that already contains rules about ownership, authority, wages, risk, and distribution.
Marx provides the language of machinery, labor, and surplus value. Thompson shows how production reorganizes time. Braverman explains how technology can transfer control from workers to management. Gray, Suri, Casilli, and Kate Crawford reveal the hidden labor and material infrastructure behind apparently autonomous systems. Together, their work suggests that the central question is not whether technology creates productivity. It is who has the power to define what productivity is for.
A new technology can reduce necessity and still increase pressure. It can make work easier while making workers more replaceable. It can create abundance while concentrating control. It can promise freedom while turning every saved minute into another unit of production.
The machine changes faster than the system that decides who benefits from its work. That is why the first question of this series is not whether new technologies are good or bad. It is whose future their promises are designed to serve.