AI jobs boom is here: How US hiring is rising across tech, construction and infrastructure

URL SCAN: AI jobs boom is here: How US hiring is rising across tech, construction and infrastructure
FIRST LINE: Data cited from The Economist and based on US Bureau of Labor Statistics figures shows a sharp increase in additional jobs associated with AI-related activity since 2024.

The Dissection

This text performs a category substitution. It moves from “additional jobs associated with AI” to “AI creates jobs,” then treats a capital-expenditure surge as evidence of durable mass employment.

The article counts visible complements—software developers, engineers, contractors, electricians, HVAC workers and construction labor—while omitting the decisive denominator: workers displaced, labor’s declining bargaining power, ownership concentration, job duration, wage quality and whether the new roles remain necessary after the infrastructure buildout matures.

The roughly 300,000 infrastructure jobs are not proof that the wage-consumption circuit survives. They are evidence that capital is currently hiring labor to install the machinery that will reduce labor’s future necessity. The article mistakes scaffolding for the completed building.

The Core Fallacy

Complementary job creation does not refute the Discontinuity Thesis. It only shows that AI deployment has a labor-intensive transition phase.

The article assumes that every wave of displacement will generate enough new, accessible, adequately paid work for those displaced. That assumption is precisely what P1–P3 invalidate. AI can create specialized demand while simultaneously making the broader workforce economically redundant. The new demand is narrower, more capital-intensive and more concentrated than the labor demand it erodes.

Infrastructure is a lag defense. Data centres, power systems and networks require physical construction and maintenance, so automation encounters friction there. But friction is not immunity. Once the buildout slows, the exceptional hiring cycle becomes a plateau. The physical workforce may remain strategically important, but it cannot absorb the majority displaced from cognitive work.

The claim that these occupations “cannot simply be automated away” is not analysis. It is a temporary technological observation disguised as a permanent economic conclusion. Human involvement can persist while human bargaining power vanishes.

Hidden Assumptions

• “Additional jobs” means net new employment rather than gross AI-linked hiring or favorable classification.
• A 2024–2026 investment surge will continue indefinitely.
• The buildout creates permanent operating demand rather than a front-loaded installation cycle.
• Workers displaced elsewhere can realistically enter these occupations at the required speed, location and skill level.
• Physical work remains permanently human-dependent.
• New jobs provide comparable wages, stability and access to the workers losing old jobs.
• AI-related gains diffuse through wages rather than accruing primarily to owners of models, infrastructure, energy and capital.
• The article can infer economy-wide employment stability from selected AI-associated occupations.
• AI will not recursively automate the software, analysis, security and coordination work currently needed to build AI.
• More hiring around AI means restored productive participation rather than a temporary labor subsidy to capital deployment.

Social Function

Classification: partial truth, transition management and ideological anesthetic.

The partial truth is real: AI investment is generating complementary jobs, including physical jobs. The anesthetic is the inference that this means the system is adapting rather than becoming structurally dependent on fewer workers. The article converts a narrow deployment window into a reassuring narrative about reskilling and “nuance.”

Its social function is to make a capital transition appear like a labor-market opportunity. Workers are told to follow demand into the next layer of infrastructure while ownership of the productive system becomes more concentrated. The result is not a refutation of obsolescence; it is a recruitment notice for the transition workforce.

The Verdict

This is a capex receipt presented as a survival certificate.

AI is creating jobs now because humans are still needed to build and operate the machine that is displacing them. That does not preserve the post-WWII economic order. It confirms the lag structure: deployment first expands selected labor demand, then cognitive automation narrows the remaining complements while ownership captures the gains.

The article observes the boom accurately and interprets it incorrectly. The system is not proving that AI creates enough work. It is spending heavily to construct the machinery required to prove that it does not.