
Why thousands of American workers feel trapped in 'job situationships'
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Across three generations of one family, evolving social roles and economic pressures explain why many younger American women are postponing or forgoing parenthood. The demographic shift—current U.S. fertility roughly half the level seen in the 1960s—reflects choices shaped by career paths, housing costs and climate concerns with broad policy and economic consequences.

Long-term unemployment becomes entrenched as US hiring cools
Long-term joblessness in the US is rising even as the headline unemployment rate hovers near 4.3% — driven by sharply weaker hiring, a surge in announced layoffs, demographic and immigration shifts that shrink both worker and consumer pools, and faster adoption of automation and AI. These demand-side changes are lengthening searches, compressing wages for rehires, and limiting lateral mobility, particularly for early-career and visa-dependent candidates.
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When AI Shrinks the Base: What the Threat to Entry-Level Work Means for Firms
Generative and process automation technologies are compressing the pool of routine, entry-level tasks that historically absorbed early-career hires, forcing firms to rethink hiring, training and organizational design. The speed of capability growth — and concentration of AI infrastructure spending among a few providers — raises the risk of a rapid labour-market shock that will demand both firm-level reskilling strategies and coordinated public policy on infrastructure, competition and transition finance.
US job growth trails as AI investment and immigration cuts reshape the labor market
The US economy expanded at about a 2.2% annual pace in 2025 while payrolls rose only modestly (roughly 181,000 for the year) and the unemployment rate sat near 4.3%. Heavy capital spending on AI — part of a roughly $1.5 trillion global infrastructure wave — plus a sharp fall in immigration (net inflows near ~160,000 versus ~1.1M in typical years) and policy-driven labor constraints have lifted measured output and asset values but suppressed hiring, raised long-term unemployment and intensified sectoral shortages.

AI Disrupts the College-to-Work Pipeline, Shrinking Internships and Market Value of Degrees
Rapid AI adoption is accelerating structural pressures on higher education by reducing paid internships and entry-level roles, weakening the employment prospects and perceived value of degrees. Supply-side concentration in AI infrastructure and signs of employer-led layoffs amplify the risk, pushing calls for coordinated employer-university-policy responses such as scaled apprenticeships, portable credentials and public investment in open infrastructure.
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AI is reshaping hiring: it is compressing many entry-level, repeatable roles while creating strong demand for practitioners who can apply, secure, and govern AI in production environments. The labor-market effects are being amplified and unevenly distributed by concentrated infrastructure spending, shifting data‑center finance patterns, and an intense political fight over national AI rules that will shape where compute — and thus many new jobs — locate.

Immigration Crackdown, Tariffs and Automation Are Cooling U.S. Labor Demand
Interior immigration enforcement, declining net migration and rising trade barriers have removed workers and consumers from local economies, cooling hiring even as some new roles went to native-born workers. Demographic slowdown and a “low‑hire, low‑fire” corporate stance — highlighted by economists’ employment indicators — suggest weaker hiring momentum that will push firms toward automation and complicate fiscal and regional planning.