AI job surge: How governments, schools and firms must prepare the future workforce - WION

TEXT START: The rapid acceleration of artificial intelligence is forcing a complete rewrite of how society prepares people for work.

The Dissection

The article converts a structural employment threat into an administrative preparation problem. Its proposed solution is an ecosystem of AI labs, subsidies, micro-credentials, apprenticeships, human-skills training, and corporate reskilling.

Its real function is to preserve the workforce narrative: AI will supposedly eliminate outdated tasks while education and firms continuously manufacture new employability. Economic growth is treated as evidence that human participation will remain necessary.

The Core Fallacy

The article assumes that productivity growth automatically generates sufficient human employment. Under the Discontinuity Thesis, that is the exact circuit AI breaks: AI can increase output while reducing the wage labor required to produce it.

“Redefining” junior roles into AI auditing is not a durable solution. Once AI systems become more capable and cheaper, auditing itself becomes another cognitive task exposed to automation. Reskilling does not create demand; it merely moves humans toward the next layer of work scheduled for compression.

The article also confuses economic progress with individual viability. Developing economies may gain decades of output growth while their populations lose access to economically necessary labor. A larger economy can coexist with a redundant majority.

Hidden Assumptions

• Growth will create enough replacement jobs rather than mainly increasing returns to AI owners.
• Human abilities such as critical thinking, ethics, emotional intelligence, and complex problem-solving will remain scarce and economically indispensable.
• Technical trades, green energy, and engineering can absorb displacement at mass scale.
• Governments can build effective safety nets before disruption outruns institutional capacity.
• Micro-credentials updated every one or two years can keep workers ahead of automation.
• Firms will preserve entry-level employment when automated systems are cheaper, faster, and more reliable.
• AI literacy gives workers bargaining power rather than making them more efficient operators of capital owned by others.
• Coordinated action by governments, schools, and firms can preserve stable human-only economic domains.

These are not demonstrated conclusions. They are the scaffolding required to keep the article’s employment premise standing.

Social Function

Transition management and ideological anesthetic, with a layer of partial truth. The measures described may delay disruption, improve adaptation, and create temporary niches. They do not restore the mass employment–wage–consumption circuit.

The article gives institutions a respectable action plan while avoiding the ownership question: who controls the AI capital, and what claim does the displaced majority retain on its output? Without that answer, “reskilling” is largely a ritual that prepares workers to compete for shrinking access to machines they do not own.

The Verdict

This is a workforce-preservation memo for a system whose workforce requirement is being structurally removed. Its policies are lag defenses and transition management, not a reversal of obsolescence. AI may deliver the promised economic surge; the article never proves that humans will remain necessary participants in capturing it.