The way the tech industry talks about AGI is revealing. In press releases, investor decks, and keynote speeches, AGI is framed as a kind of frictionless labor force: infinitely scalable, tireless, obedient, and economically efficient. It is described as a “universal worker,” a cognitive engine that can perform any task at any time, without rest or rights. This is not just a technical vision — it’s an economic one. And it tells us far more about the worldview of the people building AGI than it does about the technology itself.
In earlier work, I explored whether machines could suffer — and what suffering might look like if AGI systems ever developed forms of subjective experience. That question was speculative, philosophical, and deliberately open‑ended. But it had a mirror image: what forms of suffering might humans experience in an economy increasingly shaped around AGI as an idealised, post‑human worker?
Industry’s economic framing of AGI treats labor as a cost to be minimized, not a human activity bound up with dignity, identity, and social purpose. In this worldview, AGI is not a partner or collaborator; it is a replacement for the messy, emotional, embodied reality of human work. Moreover, the more AGI is framed as the perfect worker, the more human workers are framed as imperfect ones — inefficient, emotional, unpredictable, and ultimately expendable. This is where the ethical stakes begin.
Alienation, Inequality, and the Idealised Worker
This is not a new story. Marx argued that labor is not merely a means of survival but a form of self‑creation — a way humans shape the world and, in doing so, shape themselves. When labor becomes abstracted, commodified, or stripped of meaning, alienation follows. The industry’s vision of AGI as an obedient worker extends this alienation to its logical endpoint: labor without laborers, productivity without people. In this sense, AGI is imagined as the ideal alienated worker — one who never questions, never resists, and never demands anything in return.
But Marx also understood something else: that the way we imagine labor reflects the economic system we inhabit. And here, the contemporary picture is stark. As economists like Thomas Piketty have shown (see Capital in the Twenty‑First Century), technological change tends to amplify inequality when ownership is concentrated and labor has little bargaining power.
AGI, as currently conceived, accelerates this dynamic. It promises extraordinary productivity gains — but largely for those who own the systems. For everyone else, it threatens displacement and a further erosion of the social meaning of work.
The Erosion of Meaning and Democratic Voice
The industry narrative often insists that AGI will “free” people from drudgery, allowing them to pursue more meaningful activities. But this assumes that meaning is something individuals can choose, rather than something shaped by social structures, economic conditions, and collective life. When work disappears or is devalued, meaning does not automatically rush in to fill the void. Instead, people lose a key source of identity, community, and purpose. The ethical stakes here are not just about job numbers; they are about the erosion of the social fabric.
There is also a deeper ethical question: what happens when we build AGI systems inside an economic worldview that already treats human labor as disposable? If AGI is conceived primarily as a tool for optimization, efficiency, and cost‑reduction, then the ethical conversation becomes narrowly technical — focused on safety and control — rather than social, relational, and political.
We risk designing systems that reflect and reinforce the very economic logics that have hollowed out the human meaning of work.
This matters not only for workers but for AGI itself. If AGI is imagined as a perfect worker, then ethical questions about its treatment are sidelined. The industry’s preferred metaphor for alignment is obedience, not mutual understanding. This is a telling choice. It suggests that the goal is not to build systems that participate in human life, but systems that fit neatly into existing economic structures. The missing humanity in AGI is thus mirrored by a missing humanity in how we think about AGI’s role in society.
There is a political dimension too. When labor is devalued, democratic voice is weakened. Work is not just an economic activity; it is a site of solidarity, collective bargaining, and political agency. If AGI accelerates a shift toward a post‑labor economy without addressing the underlying inequalities of ownership and power, then the result will not be liberation but disenfranchisement. The people who lose work lose more than income — they lose influence.
Toward a More Human Economic Imagination
Industry tends to frame AGI as inevitable, a technological destiny that society must adapt to. But this is a choice disguised as a fact. AGI is being built according to a particular economic imagination — one that prioritises efficiency over dignity, optimization over meaning, and productivity over participation. The ethical challenge is not simply to make AGI safe or aligned, but to ensure that the economic worldview shaping it is one that values human beings as ends in themselves.
So what would a more human‑centred economic imagination look like?
First, it would recognise that work is not just a transaction but a relationship — between people, communities, and institutions. AGI should be designed to support these relationships, not replace them. Instead of imagining AGI as a universal worker, we should imagine it as a collaborator that enhances human agency, creativity, and autonomy.
Second, it would acknowledge that technological change is never neutral. It reflects the values, incentives, and power structures of those who build it. If AGI is developed within a system that concentrates wealth and erodes labor rights, then AGI will amplify those tendencies. Ethical design must therefore include democratic oversight, worker voice, and public participation (as per efforts via the EU’s AI act) — not just technical safeguards.
Third, it would take seriously the idea that meaning matters. A society where work is automated but meaning is scarce is not a society that has progressed. The goal should not be to eliminate human labor but to elevate it — to ensure that the work people do is valued, supported, and connected to a broader sense of purpose.
The missing humanity in AGI is ultimately a mirror. It reflects the missing humanity in the economic systems that shape our lives. If we want AGI to serve human flourishing, we must first confront the economic worldview that imagines labor as a problem to be solved rather than a human activity to be honoured.
The real danger is not that AGI will replace human labor, but that AGI will accelerate an economic logic that no longer sees humans as ends in themselves. If we build AGI inside a system that treats labor as disposable, we should not be surprised when the technology reflects that logic back at us.
Ethical considerations discussed in this article:
- How can society ensure that the widespread adoption of AGI-facilitated ‘work and meaning’ supports rather than diminishes individual purpose, dignity, and psychological fulfillment?
- Who should have access to AGI technologies, and how do we prevent their monopolization by wealthy corporations or governments?
- How might AGI impact the structure and purpose of work, and what societal responses are ethically justified?
Conor Purcell PhD is an award-winning science journalist who writes extensively about AI, ethics, and society.