Issue Amplification through collaboration rather than efficiency through replacement

Summary

This issue asks whether AI should be used mainly to cut costs by substituting for people or to multiply what people can do. EY sides with multiplication, arguing that the strongest transformations build partnerships in which technology strengthens human abilities instead of displacing them. It cites research in which people working with AI and narrative reached a 265% creativity gain over people alone, while AI on its own reached only 120%. In this model, humans take on three roles: framing problems so AI systems can work well, questioning whether the right problems are being solved, and turning machine-generated insight into stories that move teams. Machines, by contrast, take over coordination, analysis and execution, where they perform better. The firms earning the most from AI, EY concludes, are those that rebuild work around distinctly human strengths rather than simply removing headcount.