Three things in AI to watch, according to a Nobel-winning economist

Editor's take

Nobel laureate Daron Acemoglu highlights three key AI developments for the coming year: advances in AI for scientific discovery, the increasing use of AI in surveillance and control, and the potential for AI to boost productivity.

These areas are critical because scientific progress often drives economic growth and societal well-being, while AI's application in surveillance raises significant ethical and societal concerns. The productivity impact is particularly relevant, as economists like Acemoglu are keen to understand how AI will affect labor markets and overall economic output, a topic he has extensively researched with colleagues like Simon Johnson.

Future attention should focus on the tangible outcomes of AI-driven scientific breakthroughs, such as new drug discoveries or material innovations, and the regulatory responses to AI's surveillance capabilities. Observing whether AI genuinely enhances broad-based productivity or exacerbates existing inequalities will be crucial for assessing its long-term economic and social implications.