Economics Nobel laureate Daron Acemoglu rates AI -6 on a -10 to +10 scale

Nobel economist Daron Acemoglu says AI’s progress in coding and math shouldn’t be mistaken for a fast transformation of every job: real workplaces are messier, and productivity gains take time. He warns that AI may undermine student learning, and argues the United States is too focused on foundational models while China applies AI and robotics in factories. His rating remains at -6 on a scale from -10 to +10. However, one might question how much weight to give an assessment from someone who describes themselves as 'behind the frontier' in AI usage.
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