Artificial intelligence hasn't delivered on its grand promises, according to MIT economist Daron Acemoglu, who warns that fear-driven policies could do more harm than the technology itself. In a 2024 paper, Acemoglu argues that AI will automate only about 5% of tasks and contribute roughly 1% to global GDP over the next decade.

This modest impact challenges the narrative that AI will revolutionize everything from healthcare to longevity. While AI models demonstrate sophisticated reasoning capabilities, Acemoglu contends they still fall short of human cognitive abilities. The technology hasn't cured cancer or dramatically extended lifespans as some predicted.

Acemoglu's Nobel Prize-winning research on institutional economics provides credibility to his measured assessment. His findings suggest that extreme regulatory approaches or radical redistribution schemes based on AI fears are premature. Instead, policymakers should focus on measured responses that acknowledge AI's real but limited impact on the economy and society.