The Two-Speed AI Economy: 41 Stats That Capture the Moment

Fifty-two percent of U.S. workers now use AI on the job, according to a Gallup poll from mid-May—the first time a major survey has crossed the halfway mark. That number is carrying weight because Gallup samples broadly across all types of workers, not just tech-forward firms. But beneath that headline lies a more complicated story: the gap between the vanguard and everyone else is widening, not shrinking, and the translation from individual productivity gains to organizational bottom-line impact remains stubbornly elusive.

The ROI Puzzle and the Cost Reality

The numbers around return on investment tell a fractured story. A Domino Data Lab study found that while 93% of enterprises reported improved production capability, 57% said AI's ROI still fails to outpace spend. PwC's mid-year CEO survey, fielded between mid-May and mid-June, saw only 39% of CEOs reporting positive, measurable outcomes from AI so far. The KPMG Global AI Pulse survey from early May sharpens the picture: just 7% of global leaders reported established ROI, even though the percentage saying AI was already delivering meaningful business value jumped 12 points in a single quarter to 76%. The interpretation is that companies clearly see value on individual and team levels, but that value has not yet translated fully into measurable bottom-line imp