Market Trends

The "Great Decoupling"—Why Your Paycheck Isn't Keeping Up with GDP

US labor compensation's share of GDP hits a historic low of 53.8% in 2025. We analyze the causes—from AI automation to immigration policy—and what "jobless growth" means for the economy.

Cassandra Hayes
Cassandra Hayes
Lead Technology Sector Analyst
The "Great Decoupling"—Why Your Paycheck Isn't Keeping Up with GDP

The Profit-Paycheck Paradox

If you’ve felt like the economy is booming for everyone but you, the latest numbers confirm you aren’t imagining things. We are witnessing a deepening of the "Great Decoupling"—a phenomenon where corporate balance sheets swell while the workforce's slice of the pie shrinks.

According to fresh data from the Bureau of Labor Statistics (BLS), the share of labor compensation in US GDP dropped to 53.8% in the third quarter of 2025. That is the lowest figure since the Truman administration. To put that in perspective: for nearly a decade, that number hovered comfortably around 55.6%. The sudden drop to 53.8% isn't just a statistic; it represents billions of dollars in value that migrated from workers' pockets to capital returns.

While Fortune 500 companies were busy popping champagne over a record-breaking $1.87 trillion in profits last year, the labor market was quietly suffocating. GDP is up 4.3%—a number that would usually spark a hiring frenzy. Instead, we are seeing "jobless growth," a troubling economic anomaly where output rises, but employment and wages stagnate.

The Automation Factor: It’s Not Just "Robots Coming for Jobs"

The primary suspect in this wage suppression is no longer just "outsourcing"—it’s the aggressive integration of automation and Artificial Intelligence (AI).

Raymond Robertson, a labor economist at the Bush School of Government at Texas A&M University, suggests we are seeing a fundamental structural shift. "The reason for the decline in the share of income is that wealth is shifting towards the capital side," Robertson notes. When a company buys an AI agent to handle customer service, the money that used to go to a human salary now goes to software licensing and server maintenance—capital expenses, not labor.

Goldman Sachs analysts Joseph Briggs and Sarah Dong put a number on this anxiety in their recent report. They estimate AI automation could eventually replace a quarter of total working hours. The scary part? We are already seeing the early tremors. Their models predict that a 15% boost in AI-driven productivity could displace 6% to 7% of jobs, potentially sidelining up to a million workers in the near term.

This aligns with the 4.9% surge in non-agricultural productivity seen in Q3. In a vacuum, high productivity is great. But when it’s driven by machines replacing humans rather than helping humans work faster, it severs the link between economic growth and job creation.

The Policy Puzzle: Where Have the Workers Gone?

While robots are changing the demand for labor, policy decisions are throttling the supply.

Mark Regets, a Senior Fellow at the National Foundation for American Policy (NFAP), argues that the tightening of immigration policies under the current administration has backfired. The goal was to "increase domestic workers," but the reality has been a labor bottleneck that hurts domestic businesses.

"The data is sounding alarm bells—we are losing all kinds of immigrant talent who could be driving the US economy," Regets warns.

Since January 2025, the number of foreign workers in the US has plummeted by 881,000. This contraction doesn't just leave crops unpicked or code unwritten; it creates a friction that slows down entire industries. Regets points out a harsh truth: "If a company can't find the talent it needs... it may simply shut down that business."

The unemployment rate, creeping up to 4.4% in December 2025, suggests that kicking out foreign labor didn't magically create jobs for locals. Instead, it likely dampened consumer spending and business expansion, leaving everyone with fewer options.

The "Blue-Collar" Renaissance

Amidst the gloom of AI displacement and policy missteps, a fascinating counter-trend is emerging from Generation Z. They are voting with their feet—and their tuition dollars.

Younger workers are increasingly skeptical of the "college-to-cubicle" pipeline, especially as white-collar roles look increasingly vulnerable to AI. Instead, they are flocking to vocational schools. Enrollment at vocational community colleges jumped 16% in 2024.

Gen Z is betting that AI can't fix a leaky pipe, weld a beam, or install a solar panel. This shift towards "un-automatable" trade skills might be the smartest hedge against the K-shaped economy.

What Comes Next?

We are at a precarious tipping point. The "K-shaped" divergence—where the wealthy capitalize on asset growth while wage-earners struggle—is widening.

Morgan Stanley economists have rightly questioned if the productivity boom is sustainable or just a "sugar high" from post-pandemic cost-cutting. But for the average worker, the macroeconomic debate matters less than the microeconomic reality: Wages are losing their leverage.

As Robertson bluntly puts it, "The situation of workers is deteriorating, while the situation of billionaires continues to improve."

Unless we see a massive reinvestment in workforce retraining—something more substantial than the current patchwork of corporate programs—the US economy risks becoming a high-growth engine with no room for passengers.

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