What makes the NBER paper “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives” interesting is that it pushes past the lazy “AI replaces people” narrative. 

The gains are strongest in high-skill services and finance, with smaller but still positive effects in manufacturing, construction, and lower-skill services. And importantly, the benefit is not mainly coming from capital deepening. It is coming from revenue-based total factor productivity. 

In other words, AI’s benefits are not mainly because firms are simply spending more money on AI tools. The bigger effect is that firms are using AI to improve processes, speed up decisions, create better products/services, serve customers better, and generate more revenue per worker. 

There is also a real productivity gap emerging. Executives say AI is improving workflows and output faster than those gains are showing up in revenue-based measures. That lag matters. Operational improvement often arrives before financial reporting catches up. 

That is the strategic signal that companies ought to heed: AI leaders should focus less on cost cutting theatre and more on redesigning work, accelerating decisions, and building the capabilities that help gains compound over time. 

Are you seeing AI mainly improve speed and quality, or is it already showing up clearly in revenue and margin? 

#AI #Automation #Productivity #FutureOfWork #EnterpriseAI #DigitalTransformation