AI threatens up to $5.68 trillion in US wages as layoffs accelerate

AI has already affected $1.45 trillion in US wages and 18.35 million jobs, with the potential to disrupt as much as $5.68 trillion if OpenAI's broader exposure estimates prove accurate, according to a Sinolink Securities report that cited data from Anthropic and the Bureau of Labor Statistics.

"The capital market is actively rewarding AI-driven cost reduction through layoffs, creating a positive feedback loop where more job cuts lead to higher stock prices," Sinolink analysts wrote in the report.

The analysis of 755 occupations across the BLS taxonomy reveals a dual-track disruption pattern. High-skill occupations face a 19.5% exposure rate — nearly double the 10.8% rate for low-skill roles — challenging the assumption that advanced credentials offer job security. Yet low-skill positions are being disrupted faster in practice, with a 31.2% realization rate versus 27.9% for high-skill roles, suggesting the immediate pain is concentrated among frontline workers while white-collar restructuring builds momentum.

The divergence between US labor productivity and total factor productivity since 2024 suggests the current efficiency gains come from capital deepening — better tools replacing workers — rather than genuine innovation. If AI's benefits continue flowing to capital and top-tier talent, the pressure on household income and consumption could force policy responses including universal basic income or direct government equity stakes in technology companies, the report said.

Capital Markets Incentivize the Substitution Cycle

The mechanism driving AI adoption has shifted from technological curiosity to financial imperative. Large technology companies are cutting 5% to 10% of staff in single rounds, with some software and SaaS firms approaching 20% reductions. Each round is met with rising share prices as investors interpret headcount reduction as margin expansion. This creates what Sinolink describes as a structural incentive: the more workers AI replaces, the better earnings look, the higher stocks go, and the more pressure executives face to continue automating.

The dynamic extends beyond technology. Front-office roles in retail, customer service and sales — long considered recession-resistant because they face clients — are proving highly automatable when tasks follow standardized scripts and decision trees. The report found that low-skill front-office positions carry higher AI exposure than their back-office counterparts, upending the conventional wisdom that customer-facing roles are safe.

High-Skill Workers Face a Slower but Deeper Restructuring

The data challenges another assumption: that complex cognitive work is insulated. High-skill occupations show a 19.5% exposure rate, meaning nearly one in five roles involving advanced education or specialized knowledge could be substantially automated. Software engineering, data analysis and legal research — tasks that involve pattern recognition and structured output — are particularly vulnerable.

The buffer exists only in roles requiring high-frequency interpersonal judgment: teaching, medicine and lawyering, where the client interaction element provides temporary protection. But even these professions face gradual restructuring as AI tools improve at natural language reasoning and context-dependent decision-making.

For investors, the AI labor story has moved beyond CapEx cycles and model benchmarks into a phase where corporate profitability and social stability are increasingly linked. Companies that deploy AI aggressively to cut costs — including Microsoft Corp., Alphabet Inc. and Meta Platforms Inc. — may see near-term margin expansion, but face growing regulatory and reputational risk if labor displacement accelerates. The report flags that US household income is already under pressure from declining labor share and rising reliance on government transfers. If AI deepens that trend, the political calculus around technology regulation could shift materially, introducing uncertainty for the very valuations that AI-driven cost-cutting is currently supporting.

This article is for informational purposes only and does not constitute investment advice.