Nobel Prize–winning economist Daron Acemoglu criticizes how public discussion frames artificial intelligence, arguing that much of what people read and hear about AI is misleading. In interviews and commentary reported by outlets, he characterizes prevailing “AI discourse” as overly simplistic, describing it as focused on superficial claims rather than substantive analysis of how AI affects labor, productivity, and society. Acemoglu also challenges common narratives about capitalism, disputing what he calls widely repeated myths and emphasizing the need to examine institutions and incentives rather than rely on broad ideological assumptions. In addition, he points to generational political and economic concerns, warning that the “Gen Z revolution” could face significant risks if public debates and policies do not account for underlying structural factors. Across the coverage, the common thread is Acemoglu’s insistence that discussions about AI and broader economic systems require more rigorous thinking, and that the consequences of getting these debates wrong are potentially severe. The articles present his views without indicating agreement or endorsement from other parties.