In a recent analysis, Morgan Stanley's Global Chief Economist Seth Carpenter delves into the real-world impact of artificial intelligence on productivity and employment, moving beyond the hype and fear that often surround the topic.
According to Carpenter, data from industries most exposed to AI reveal a clear uptick in productivity. However, contrary to widespread anxiety, this productivity boost has not been accompanied by a sharp decline in employment. Instead, output is rising, suggesting that AI may be augmenting human work rather than replacing it entirely.
The economist highlights that while AI is indeed automating certain tasks, it is also creating new roles and enhancing the efficiency of existing ones. This trend offers a cautious reason for optimism, as it implies that the workforce can adapt to technological shifts without catastrophic job losses.
Carpenter's findings align with historical patterns, where innovation often reshapes labor markets but does not eliminate the need for human workers. The key, he notes, lies in the pace of adoption and the ability of workers to reskill.
As AI continues to evolve, Carpenter emphasizes the importance of monitoring real-world data rather than succumbing to speculative narratives. The current evidence suggests a future where AI and human labor can coexist, driving productivity without sacrificing employment resilience.