Stanford Human-Centered AI Institute researchers predict that 2026 will mark a turning point from AI speculation to careful measurement of real-world impacts. Experts forecast that by year’s end, nearly 60% of all AI training data could be synthetically produced, lowering legal and ethical risks from data harvesting. The group also anticipates the emergence of high-frequency “AI economic dashboards” tracking where AI boosts productivity, displaces workers, or creates new roles at the task and occupation level.
