AI comes into being as capital - Struggle-La Lucha

TEXT START: Artificial intelligence is usually discussed in terms of what the technology can do.

The Dissection

The article performs a materialist demystification of AI. It strips away the “cloud” metaphor and identifies the physical infrastructure, labor, energy, land, water and monopoly ownership beneath the software. Its central move is to redirect the debate from capability to control: AI is presented not as an autonomous technological force, but as productive capacity captured by corporate capital.

That diagnosis is partly correct. The article accurately identifies data centers, energy systems and computing infrastructure as strategic choke points. It also correctly shows that automation under capitalism converts higher productivity into layoffs, surveillance and intensified work rather than leisure.

But the article ultimately tries to extend an industrial-era class-struggle program into a post-labor transition. Its solution remains worker control, nationalization, shorter hours and a veto over harmful technology. Those demands address ownership and distribution while leaving the deeper discontinuity untouched: AI can make human labor economically unnecessary regardless of whether the machines are owned by private monopolies, the state or worker-controlled institutions.

The Core Fallacy

The core fallacy is treating ownership of productive forces as if it determines whether human labor remains necessary.

Under Discontinuity Thesis mechanics, the decisive sequence is not merely private ownership producing exploitation. It is:

P1: AI achieves durable cost and performance superiority across cognitive work.

P2: Human institutions cannot preserve stable human-only economic domains at scale.

P3: The majority lose access to economically necessary labor.

Nationalizing AI, placing it under union control or giving communities a veto could alter who receives the returns and who controls deployment. It does not restore the mass employment-to-wage-to-consumption circuit once machines outperform people. A publicly owned system can still eliminate labor demand. Collective ownership may redistribute the surplus, but redistribution is not productive participation.

The article asks who controls the machines. The harder question is whether the people controlling them still need most humans to operate the economy. It never answers that question.

Hidden Assumptions

• Worker control will remain institutionally possible after AI fragments, replaces and weakens the labor force.
• Unions and communities can coordinate across jurisdictions despite corporations and states competing globally for compute, energy and military advantage.
• Shorter hours can distribute employment rather than simply expose that fewer workers are required.
• Nationalization changes the underlying competitive pressure to automate. It does not.
• Public or worker ownership automatically converts productive capacity into socially beneficial use.
• Human administrators can decide what counts as a social need without reproducing hierarchy, coercion or strategic competition.
• Control of data centers is equivalent to control of AI capability, despite the importance of models, data, chips, software, capital and geopolitical supply chains.
• The working class remains a unified productive subject rather than a shrinking minority of indispensable operators surrounded by economically redundant populations.
• A veto over technological deployment can survive when states and firms treat advanced AI as essential to economic and military power.
• Preserving consumption through social ownership is equivalent to preserving meaningful participation in production.

The most consequential hidden assumption is that the old subject of history—the mass wage worker—will still possess the leverage that made industrial bargaining possible. AI attacks precisely that leverage.

Social Function

Classification: partial truth, transition management and ideological anesthetic.

The article is not pure copium. Its account of AI’s physical infrastructure, corporate ownership, environmental burden and labor exploitation is concrete and largely sound within the supplied text. It identifies genuine leverage around energy, logistics, maintenance, permitting and infrastructure control.

Its anesthetic function begins when it presents ownership transformation as a sufficient answer. It converts an approaching collapse of productive participation into a familiar political program: organize, demand control, nationalize, shorten hours and veto harmful technology. That preserves the image of collective human agency while avoiding the more terminal implication that even successful control of AI may leave most people economically unnecessary.

Its useful strategic residue is narrower than its politics. Workers and communities near energy, logistics, maintenance and compute chokepoints may gain temporary bargaining power. Those positions can support transition intermediation, verification, carcass management or sovereign control of critical infrastructure. They do not amount to a restoration of the post-WWII order.

The Verdict

The article correctly identifies AI as capital and correctly exposes the material machinery hidden behind the cloud. It misdiagnoses the cause of death. Private ownership accelerates the crisis, but it is not the entire mechanism; the terminal event is the severing of human labor from economic necessity.

Worker control could change who owns the wreckage. It cannot, by itself, make the wreckage require a mass workforce again. This is a serious account of the machine’s ownership and a weak account of the human condition after the machine wins.