The wages of American workers are under pressure. AI's potential role is drawing more attention

🎯 Impact Sentiment: Concerning

📋 Summary

• US wage growth has decelerated to 3.1% year over year in August 2026, and the Bureau of Labor Statistics' Employment Cost Index showed inflation-adjusted wages and salaries actually decreased 0.4% year over year through June.
• Labour's share of nonfarm business output fell to 52.8% in the second quarter of 2026 — the lowest reading in a series that began in 1947 — a trend some researchers attribute to decades of automation that AI may now accelerate.
• A study by Apollo Global Management chief economist Torsten Slok and co-author Sania Edlich found workers in highly AI-exposed occupations saw real-wage growth 6.7 percentage points slower after 2023 than less-exposed peers, with no statistically significant effect on employment levels — suggesting firms may be capturing productivity gains through wage compression rather than layoffs.
• Labour economists urge caution: Ben Zipperer of the Economic Policy Institute says the Apollo sample is too small to be convincing and that money saved on, say, cheaper software development flows into hiring elsewhere, making exposed occupations look worse by comparison than they really are.

💡 JR Insights

• 💼 Implication: The more likely near-term AI effect on your career is not being fired but being paid less in real terms — wage compression is far harder to notice, and to contest, than a layoff.
• 🚨 Risk: If employers keep productivity gains rather than sharing them, workers in AI-exposed fields can be busier and more productive while their purchasing power quietly erodes year after year.
• ✨ Takeaway: Track your real (inflation-adjusted) pay, not your nominal raise, and build a documented case that you personally deliver the AI productivity gain — that evidence is your leverage in the next salary review.