{"paragraph1":"In a recent interview with MIT Technology Review, Daron Acemoglu, awarded the Nobel Prize in Economics in 2024, reiterated his skepticism about AI's transformative impact on jobs, despite advancements like agentic AI—tools designed to operate autonomously on complex tasks. His earlier 2024 paper argued that AI would provide only marginal productivity gains in the US, a stance supported by current data showing no significant employment shifts due to AI adoption (MIT Technology Review, 2026). However, Acemoglu acknowledges the rapid evolution of agentic AI, cautioning that its economic impact hinges on whether it can replicate the human ability to fluidly switch between diverse job tasks, a capability still unproven despite industry claims.","paragraph2":"Beyond technical developments, Acemoglu highlights a strategic trend often missed in mainstream coverage: AI companies like OpenAI, Anthropic, and Google DeepMind are aggressively hiring economists to shape narratives around AI's economic effects. OpenAI's appointment of Ronnie Chatterji as chief economist in 2024 and Google DeepMind's recent hiring of Alex Imas as 'director of AGI economics' reflect a calculated effort to address public skepticism over job displacement (MIT Technology Review, 2026; Bloomberg, 2025). This mirrors historical patterns where tech industries facing regulatory scrutiny—such as Big Tobacco or early internet firms—invested in academic expertise to influence policy and perception, a tactic Acemoglu warns could obscure genuine economic risks (The Economist, 2023).","paragraph3":"What mainstream coverage often overlooks, and what Acemoglu implicitly signals, is the structural risk of AI exacerbating inequality through labor market polarization—a trend documented in prior automation waves. While agentic AI may not replace entire jobs, it could deskill mid-tier roles, concentrating economic gains among high-skill workers and capital owners, a pattern seen in the adoption of industrial robotics (Autor et al., Journal of Economic Perspectives, 2020). Acemoglu's focus on task-specific augmentation over wholesale replacement suggests a future where AI deepens existing divides unless paired with proactive policy—an angle missing from tech-centric reporting. His measured take challenges the Silicon Valley narrative of inevitable disruption, urging a closer look at who benefits and who loses in AI's economic reshuffle."}