AI might help develop technologies to reduce emissions, but those will take years to scale. The bigger issue, researchers say, is indirect: A modest AI-driven boost to economic growth could raise projected warming far more than AI’s own emissions.
MIT Sloan School of Management
@MITSloan
Ideas made to matter.
- Before deploying AI technology, leaders need to think about how they want to do business differently and why that would be better for their customers and employees. Without this framing, even well-resourced AI initiatives will stall.
- MIT Sloan senior lecturer Geroge Westerman says that the companies succeeding with AI are asking better questions about their strategy and making a concerted effort to be agile. Explore the six questions Westerman has developed that business leaders should consider when
- Capital raised and humans hired are becoming less important metrics for startups, which now gauge success by measuring annual recurring revenue per full-time equivalent employee.
- “AI is a remarkable technology, both promising and problematic. But, by itself, it does not solve the climate crisis and these other problems. We need sound policies to do that.” — John Sterman, MIT Sloan professor
