AI's left hand begins to take away jobs before its right hand can - The Economic Times

TEXT START: Chipmakers are diverting capacity away from memory chips used in everyday electronics to focus on high-bandwidth chips for AI servers, leaving conventional memory in short supply and driving up prices.

The Dissection

The article identifies an important indirect destruction channel: AI can eliminate jobs by diverting scarce chips, electricity, equipment, capital, and managerial attention toward AI infrastructure. Workers may be dismissed not because AI performs their tasks, but because their employer’s cost structure and investment priorities have shifted against them.

Its examples—Samsung, Meta, Uber, and Oracle—show plausible mechanisms, but the evidence remains mixed. Several cited layoffs have multiple causes, and the article concedes that economy-wide AI-driven displacement has not yet been proven. It is therefore an early-warning memo, not a completed diagnosis.

The article is still written in the grammar of the old economy. It treats AI primarily as a powerful investment boom creating collateral damage, rather than as the emerging center of economic allocation.

The Core Fallacy

The article correctly rejects the simplistic idea that AI must directly perform a worker’s task before destroying the job. Its error is stopping there.

It frames the problem as a temporary input shock or capital-allocation decision that firms might manage through higher prices, lower margins, or restructuring. Under Discontinuity Thesis mechanics, this is not merely a side effect. It is part of the same structural process: AI capital attracts resources because it produces superior returns, while human labor becomes a progressively less competitive use of capital.

The article mistakes delayed visibility for limited significance. A layoff labeled “cost reduction,” “strategic restructuring,” or “capital reallocation” is still AI-mediated displacement if AI investment makes the human workforce economically inferior. Direct substitution and indirect crowd-out are not separate crises. They are two attack vectors of the same transition toward productive participation collapse.

Hidden Assumptions

• Human labor remains economically necessary if firms can temporarily absorb higher costs.
• Prices, margins, or alternative spending can preserve employment indefinitely.
• AI investment is an external boom rather than a new command center for capital allocation.
• Physical bottlenecks merely create inflation and delays, rather than accelerating concentration around AI Sovereigns.
• Other industries will generate enough replacement employment to offset AI-driven destruction.
• Corporate labels will accurately reveal the technological cause of layoffs.
• Firm-level evidence must become overwhelming before the structural mechanism is real.
• Capital crowds into AI while the wider economy remains capable of sustaining mass employment.

These assumptions preserve the possibility of a return to equilibrium. The Discontinuity Thesis denies that equilibrium once P1, P2, and P3 reinforce one another.

Social Function

Classification: partial truth, transition management, and ideological anesthetic.

The article provides a useful vocabulary for recognizing second-order AI layoffs. That is its genuine analytical value. But by presenting the process as an emerging employment risk, a collection of corporate decisions, and a potentially future problem, it domesticates a systemic break into familiar business-cycle language.

It tells readers that the machinery is producing casualties without admitting that the machinery itself is being rebuilt around a different ownership class. The result is a softer interpretation of a hard transition: workers are not yet visibly replaced, so the system is treated as fundamentally intact.

The Verdict

The article identifies a real early mechanism of AI job destruction: AI can make workers too expensive to retain before it can directly perform their jobs. That is accurate.

Its diagnosis is incomplete because it treats the mechanism as collateral damage from an AI boom rather than an early manifestation of systemic reallocation. The left hand is already removing jobs through input inflation, capital crowd-out, and strategic restructuring. The right hand—direct cognitive automation—has not yet finished closing around the labor market.

This is not proof that the entire post-WWII order has already collapsed. It is evidence of the first visible lesions: AI capital is beginning to decide which firms, inputs, and workers deserve continued access to resources. Once that allocation becomes durable and competitive, mass employment will not be rescued by the fact that AI did not personally perform the dismissed worker’s task.