Is AI really taking young people's jobs? | The Spectator

TEXT START: We’ve had three announcements this week that paint a worrying picture for the job prospects of young people.

The Dissection

The article is performing causal displacement. It assembles evidence of collapsing graduate vacancies, shrinking entry-level hiring, stagnant NEET numbers, and disappearing youth jobs, then shifts the primary blame from AI to employer taxes, wages, regulation, and business costs.

That diagnosis contains a partial truth: policy can make marginal workers more expensive and accelerate hiring freezes. But the article treats an accelerant as the fire. Its own evidence admits that two-fifths of surveyed employers linked reduced entry-level hiring to AI investment, while the disappearance of cognitive starter roles is precisely where AI strikes first.

The Core Fallacy

It assumes that if some jobs are also destroyed by government-induced cost increases, AI is not the fundamental cause. Under the Discontinuity Thesis, this is false. AI does not need to explain every lost retail, hospitality, or apprenticeship position to sever the employment-to-wage circuit. It only needs to make enough cognitive labor cheaper, faster, and more scalable that firms stop using young workers as training-stage substitutes.

The article mistakes mixed causation for exoneration. Policy pressure may kill weak firms and marginal jobs sooner; AI permanently changes the competitive economics of human labor. Removing the tax burden would not restore the old entry-level pipeline. It would merely give employers cheaper human labor to compare against increasingly capable machines.

Hidden Assumptions

• Entry-level jobs will return if the government lowers the cost of employing young people.
• AI is mainly a sector-specific tool rather than a general substitute for cognitive labor.
• Jobs eliminated by high labor costs and jobs eliminated by automation are structurally interchangeable.
• Young workers can still acquire skills through the same employment ladder once firms have cheaper machine alternatives.
• The economy can preserve a stable human-only domain through better policy.
• Employer demand, rather than the declining economic necessity of human labor, is the decisive variable.

These assumptions conceal the real break: the old system required large numbers of people to be economically useful. AI progressively removes that requirement.

Social Function

Primary classification: partial truth serving as ideological anesthetic.

The article accurately identifies policy choices that raise hiring costs, but uses them to make technological displacement appear contingent and reversible. It offers a politically convenient culprit—government—while leaving the deeper transition intact. This is not a solution to the youth labor crisis. It is an argument over who gets blamed while the entry-level ladder is dismantled.

The Verdict

The article sees the corpse but misidentifies the weapon. Fiscal and wage policy can accelerate the collapse of youth employment, but AI is the structural mechanism that makes mass human labor progressively unnecessary. Lowering employment costs may delay the execution; it cannot resurrect the post-WWII employment circuit.