AI Effect: 'Nearly 3 Million Jobs Are At Risk In India' - Rediff.com Business

TEXT START: In the next 36 months nearly 25 to 40 per cent of jobs will be under threat from AI and job losses are inevitable.

THE DISSECTION

This article is a controlled admission of structural displacement disguised as a manageable transition story. It concedes layoffs, shrinking headcount, and collapsing entry-level hiring, then retreats into productivity gains, reskilling, and new AI specialties.

The most revealing statistic is not the headline figure of nearly 3 million jobs at risk. It is that 65 per cent of surveyed companies are hiring fewer entry-level workers. The labor market is being amputated at its intake valve. Mass firings are not required; simply stop admitting new workers and the human career ladder begins to die.

The article also conflates gross job creation with restored mass employment. A few thousand AI-related roles do not replace millions of generalist technology, customer-service, and administrative positions. They form a narrow specialist layer around an expanding machine economy.

THE CORE FALLACY

The central error is treating productivity growth as employment growth. AI can increase demand for IT services while reducing the number of humans required to deliver each unit of service. Growing revenue does not imply growing payrolls.

The article's optimism assumes that new AI demand will be labor-intensive enough to absorb displaced workers. The supplied figures do not support that assumption. They show concentrated hiring at the top, reduced entry-level access, and firms refusing to fund reskilling when the return is uncertain. Capital trains the workers it expects to retain. It does not rehabilitate labor it has made redundant.

The claim that transparency will help is another category error. Recording AI-driven job losses may expose the corpse. It does not resurrect the wage circuit.

HIDDEN ASSUMPTIONS

• AI adoption will remain slow enough for institutions to manage.
• New AI roles will scale to the volume of displaced jobs.
• Productivity gains will be converted into broad hiring rather than margin expansion.
• Workers can be reskilled faster than AI makes their replacement skills scarce.
• Firms will retain workers long enough to justify retraining them.
• Traditional IT firms can move up the value chain without sharply reducing headcount.
• Entry-level collapse is a temporary mismatch rather than the first stage of productive participation collapse.
• Policy can preserve a human-only economic domain despite competing against cheaper, scalable machine labor.

SOCIAL FUNCTION

Primary classification: transition management and ideological anesthetic. Secondary classification: partial truth and elite self-exoneration.

The article is not pure copium; it reports real damage and acknowledges that job losses are inevitable. Its function is subtler: make systemic collapse sound like a skills problem that can be negotiated through reskilling, disclosure, and corporate transformation. It preserves faith in the institutions producing the displacement while postponing the harder conclusion that productivity can rise as the majority lose economic necessity.

THE VERDICT

This is a warning label attached to a machine already running. The article accurately records early P1 and P3: AI adoption is advancing, entry-level access is shrinking, and firms are rationalizing labor. It leaves P2 largely unspoken: no institution described can coordinate a stable human-only labor market at scale.

The promised AI jobs are a narrow Sovereign-and-Servitor layer, not a replacement labor market. India’s danger is not merely three million lost jobs. It is the destruction of the wage-mediated route into productive adulthood while output, revenue, and corporate efficiency continue rising. This is transition management around a shrinking human role—an economic corpse fitted with a dashboard.