According to emollick, research shows post-ChatGPT clients weigh skills less and price more when hiring on online labor markets.

According to CNBC, AI was cited in 40% of 97,000 US job cuts in May 2026, the highest May since 2020, per Challenger, Gray and Christmas.

According to Yann LeCun referencing research by Erik Brynjolfsson and David Autor, labor productivity and real GDP per capita in the United States have continued to rise, but median family income has remained stagnant since the 1980s, except for a brief improvement during the Clinton/Gore administration. As reported on Twitter, this phenomenon—often described as 'The Great Decoupling'—highlights a growing gap between economic output and wage growth. For the AI industry, these trends underscore the critical need to focus on how artificial intelligence and automation contribute to productivity while potentially impacting income distribution and workforce stability. Understanding this decoupling is essential for businesses seeking sustainable and equitable AI integration strategies.