Mercer released its Global Talent Trends 2026 report on May 22, revealing worker confidence has fallen to its lowest level since 2018 after surveying 12,000 professionals across 16 countries including China, India, and the US [1, 2]. Only 44% of employees say they feel they are thriving at work, a decline of one-third since 2024 [1, 2].

Concerns over AI replacing jobs have surged, with 40% of workers citing it as a major worry, up 12 percentage points in two years [1, 2]. Nearly all senior leaders, 99%, expect AI adoption will reduce at least some workforce, while 98% anticipate significant organizational restructuring within the next two years [1, 2]. Meanwhile, 72% of employees believe access to AI tools and training is unequal within their companies, and 56% say AI is harming morale [1, 2]. However, only 19% of HR leaders incorporate AI’s mental health impact in their strategies [1, 2].

Data from Pew Research Center aligns with these fears, showing 52% of workers worry AI will affect their jobs while just 6% see it creating new job opportunities [3]. The speed of automation deployment has accelerated from decades-long cycles to quarterly intervals, raising anxiety and labor risks [3]. In response, some European countries require strict impact assessments before rolling out large AI programs to protect workers [3].

Tech executives in Silicon Valley, including Google SVP James Manyika, reject dire predictions of massive AI job losses. Manyika noted, "let's take the bet" on claims that 50% of jobs would be wiped out by 2026, saying those predictions have not materialized after two years [4]. He said, "The biggest impact is the part about job transformation. The nature of the work changes… the bank teller job still exists, but I assure you today’s bank teller’s duties are very different from the 1970s" [5]. Manyika criticized talks of mass layoffs as creating fear that "doesn't help the potential for technology to have great impact" [5].

Public skepticism remains high in the US, where a YouGov poll in early May found 70% believe AI is advancing too fast, coinciding with protests against new AI data centers [4, 5]. The tech sector announced 85,411 layoffs through April 2026, a 33% increase from the previous year, yet AWS plans to hire 11,000 software engineers in 2026 amidst these cuts [5].

The global workforce faces increasing uncertainty as companies restructure and accelerate AI use. Mercer’s report highlights the rising fears and pressures workers face, with widespread expectations of job disruptions and a need for balanced strategies addressing AI’s effects. The labor impact and organizational changes are expected to unfold over the next two years as AI adoption grows [1, 2].