The market is split. The 'contract' market includes tenured employees and locked-in prices from 2022. The 'spot' market includes new hires and resale inventory, which is trying to revert to 2019 affordability levels. This tension explains conflicting economic signals.
While tariffs affect goods prices, immigration controls are reducing the labor supply, particularly in the service sector. This creates upward wage and price pressure on services, a subtle but significant contributor to overall inflation that is difficult to isolate in real-time data.
The difficulty in hiring young talent is not a temporary trend but a "new ice age." It is driven by a smaller Gen Z population compared to millennials. The problem will worsen: within a decade, more people over 65 will be leaving careers than 16-year-olds are starting them, creating a long-term demographic crisis for employers.
While AI's current impact on jobs is minimal, the *anticipation* of its future capabilities is creating a speculative drag on the labor market. Management teams, aware of hiring and firing costs, are becoming cautious about adding staff whose roles might be automated within 6-12 months.
Contrary to narratives about excess demand, the recent inflationary period was primarily driven by supply-side shocks from COVID-related disruptions. Evidence, such as the New York Fed's supply disruption index accurately predicting inflation's trajectory, supports this view over a purely demand-driven explanation.
Despite a still-growing labor market, real wage growth has slowed to "stall speed." This lagged effect on middle and lower-income households is the primary driver for the projected 2-percentage-point drop in real consumption growth for Q4 and Q1.
The Fed expects inflation from tariffs to be a temporary phenomenon, peaking in Q1 before subsiding. This view allows policymakers to "look through" the temporary price spike and focus on what they see as a more pressing risk: a cooling labor market. This trade-off is described as the "cost of providing insurance to the labor market."
Kastle Systems data reveals a dramatic stratification in the office market. The best "A+" buildings in prime locations are seeing occupancy rates return to pre-pandemic levels on peak days. Meanwhile, lower-tier B and C buildings are struggling, signaling a major flight to quality.
Companies are preemptively slowing hiring for roles they anticipate AI will automate within two years. This "quiet hiring freeze" avoids the cost of hiring, training, and then laying off staff. It is a subtle but powerful leading indicator of labor market disruption, happening long before official unemployment figures reflect the shift.
Robert Kaplan suggests the labor market's sluggishness might not be a simple cyclical slowdown. He points to a significant "matching problem" where open jobs don't align with the skills of job seekers. This structural issue limits the effectiveness of monetary policy as a solution.
Companies that over-hired in 2022 are now stuck with expensive employees who won't leave due to a weak job market. This creates a bottleneck, forcing companies to eventually lay off these 'seniors' to make room for new, cheaper 'freshmen' hires, signaling a turn in the labor market.