Sridhar Vembu raises AI 'wiping' jobs question; says: We need answers, if it can be as Sam ...

TEXT START: Zoho co-founder Sridhar Vembu has publicly raised concerns about artificial intelligence ‘wiping’ jobs, warning that India must urgently find answers to safeguard its massive youth workforce.

THE DISSECTION

The text records an unusually direct admission: AI is redirecting employment budgets into computation while increasing output and saturating the software market. It correctly observes that automation can make goods cheaper while destroying the income stream needed to purchase them.

Then it performs a containment maneuver. It reframes the collapse of productive participation as a problem of distributing purchasing power and asks whether UBI or state “freebies” can keep the system consuming. The corpse is being fitted with a feeding tube and described as healthy because its digestion continues.

THE CORE FALLACY

The central error is calling income the “only” remaining question. Under the Discontinuity Thesis, mass employment does more than generate consumption: it grants productive participation, bargaining power, status, and access to the economic system. UBI may preserve demand, but it does not restore the jobs AI has made unnecessary or return control of production to those displaced.

The article also treats the search for another job-creating industry as if labor absorption were still the default outcome of growth. Once automation spreads across cognitive and physical production, the problem is not that India has failed to discover the correct sector. The problem is that competitive production no longer requires most workers.

HIDDEN ASSUMPTIONS

• Productivity gains will eventually create enough new employment elsewhere.
• Cheap goods and cash transfers can substitute for meaningful economic participation.
• Governments can tax or redirect enough AI-generated wealth without destabilizing ownership and investment incentives.
• Political systems can maintain permanent transfers to a structurally redundant majority.
• “Quality,” branding, manufacturing, or new AI industries will generate labor demand at historical scale.
• Human employment can be preserved through policy even when firms are punished competitively for retaining unnecessary labor.
• The owners of AI capital will tolerate redistribution rather than capture the gains or restrict access.

The article’s own evidence undermines several of these assumptions: Zoho is not laying off workers, but it is no longer expanding the workforce; customers are redirecting IT budgets toward AI; and automated manufacturing produces few jobs.

SOCIAL FUNCTION

This is a partial truth disguised as transition management and ideological anesthetic, with a secondary element of elite self-exoneration. Vembu accurately exposes the mechanism—capital is moving from wages to AI and infrastructure—but UBI converts a crisis of ownership and power into a technical question of household cash flow.

That framing reassures institutions that the system can continue if governments distribute enough money. It does not ask who owns the productive machinery, who controls access to it, or what political status remains for people whose labor is no longer required.

THE VERDICT

Vembu sees the machinery beginning to sever the wage-to-consumption circuit, but he still describes the severed circuit as a policy problem awaiting a better answer. UBI and “freebies” are not a restoration of the post-WWII order. They are carcass management: transfers that may preserve consumption while the majority lose productive necessity and AI capital owners consolidate control.

The text is valuable because it admits the damage early. Its proposed remedy remains structurally inadequate. The question is no longer whether AI can eliminate jobs; the supplied evidence shows that hiring is already being displaced. The question is whether those who lose economic necessity will retain any claim on the system’s output beyond politically granted subsistence.