AI's Silent Threat to Your Paycheck: Why Wage Cuts Could Be More Devastating Than Job Losses

The Hidden AI Risk for Workers Isn't Just Unemployment — It's a Pay Cut

Former Salesforce AI CEO Clara Shih warns that while much attention focuses on AI eliminating jobs, the more insidious threat to workers is actually lower wages. She argues that wage resets are a more common and disruptive way new technologies affect workers than outright layoffs.

Former Salesforce AI CEO Clara Shih says artificial intelligence could quietly push wages down across industries.

Three Ways AI Could Push Wages Down

Shih outlines three mechanisms through which new technologies can suppress wages:

1. Intra-Sector Squeeze When workers lose jobs in an industry, they compete for the remaining roles in the same field, driving wages down. Shih points to manufacturing after the early-2000s trade shocks as an example. As factories closed or automated, laid-off workers fought for a shrinking pool of domestic manufacturing jobs, and real wages declined.

The US Bureau of Labor Statistics estimates that 5.5 million US manufacturing jobs were lost between 2000 and 2017. Economists David Autor, David Dorn, and Gordon Hanson found in a 2016 paper that workers in industries exposed to import competition from China "accumulate substantially lower earnings" between 1992 and 2007.

2. Lowering Skill Barriers Technology can reduce the skill requirements for previously specialized work, expanding the labor pool and increasing competition. "AI (like past tech waves) slashes the skill floor for once-premium jobs, flooding labor supply and compressing wages," Shih wrote.

She cites London's black cab drivers as an example. For decades, drivers had to master "The Knowledge," a rigorous examination requiring memorization of thousands of streets and landmarks. GPS navigation and ride-hailing apps dramatically reduced the need for that expertise, expanding the driver labor pool and exposing drivers to more competition.

3. Sector Switching with Pay Cuts Displaced high-skill workers may move into entirely new sectors after losing their jobs, often accepting lower pay while displacing incumbent workers. "Displaced high-skill workers switch fields, often taking a pay cut while displacing incumbent workers," Shih wrote.

The Early AI Wage Boost May Already Be Starting to Fade

Ioana Marinescu, an associate professor at the University of Pennsylvania School of Social Policy & Practice, suggests AI may already be nearing the peak of its wage boost. New technologies often raise pay early on by making workers more productive, but that effect can reverse once automation spreads widely enough.

Her model suggests wage growth could begin to decline once roughly 37% of cognitive or 'intelligence' tasks are automated — a tipping point where automation starts replacing, rather than augmenting, workers. By her estimate, the economy has already automated more than 14% of those tasks, meaning the peak of the AI-driven pay boost may arrive sooner than many expect.

For Shih, the implication is clear: policymakers and workers shouldn't judge AI's labor-market impact solely by job losses, but also by wage trends. The hidden risk of AI isn't just unemployment — it's the quiet erosion of earning power across industries.