Sridhar Vembu warns IT companies have stopped creating new jobs, AI costs are now out of control

URL SCAN: Sridhar Vembu warns IT companies have stopped creating new jobs, AI costs are now out of control
FIRST LINE: Sridhar Vembu warns IT companies have stopped creating new jobs, AI costs are now out of control

The Dissection

The article documents a transition already underway: IT capital is moving from human labor toward AI systems, software infrastructure, and datacentres. Its surface question is how to create jobs for India’s youth. Its deeper function is to record the weakening of the employment engine while preserving the language of orderly economic adjustment.

The most important evidence is not layoffs. It is the freeze in net job creation. A company that retains workers but stops adding them has already begun treating labor as a shrinking legacy liability rather than the foundation of growth.

The Core Fallacy

The article still frames the crisis as a problem of income distribution: goods may become cheap, so the missing piece is giving people enough money to buy them. Under Discontinuity Thesis mechanics, this is incomplete. The rupture is productive participation itself.

UBI or “freebies” can preserve consumption and political stability. They cannot restore the mass employment → wage → consumption circuit or make displaced workers economically necessary. Transfers are containment machinery, not a resurrection of the old system.

The article also treats AI costs as a temporary burden. That misses the competitive mechanism. High costs trigger investment, scale, optimization, and consolidation; they do not protect human labor indefinitely. The capital spending is the transition signal, not evidence that the transition is failing.

Hidden Assumptions

• That new sectors will emerge quickly enough to absorb workers displaced across IT and manufacturing.
• That software demand can continue expanding despite AI-driven commoditization.
• That human labor remains broadly necessary once AI becomes cheaper and more capable.
• That political systems can redistribute income without transforming ownership and control of productive AI capital.
• That avoiding layoffs represents stability rather than delayed obsolescence.
• That affordable goods compensate for the loss of status, bargaining power, and productive necessity.

Social Function

Partial truth, transition management, and ideological anesthetic.

The article tells the truth that AI is redirecting hiring capital and that manufacturing will not absorb displaced workers at historical scale. But its UBI discussion converts a structural death sentence into a policy puzzle. It allows owners, institutions, and commentators to acknowledge automation without confronting the ownership question: who controls the AI systems, energy, logistics, data centres, and distribution channels?

The Verdict

The article is a credible early autopsy of the IT labor model. Its central fact is terminal: job creation has stalled before the social system has admitted that labor demand may not recover.

Under the hardened framework, this is P1 in visible operation, P2 approaching through institutional inability to preserve human-only domains, and P3 beginning as productive participation contracts. IT is not merely experiencing a hiring slowdown. It is becoming a capital-intensive commodity sector whose survivors will be owners, controllers, and indispensable operators. Everyone else is being repositioned from participant to claimant.