How AI can be designed to augment workers rather than replace them

Summary

This article explores a "pro-worker" approach to artificial intelligence, arguing that AI can be used to augment and expand human capabilities rather than simply replace workers. It references MIT economists Daron Acemoglu, David Autor, and Simon Johnson, who identify five types of technologies affecting workers, with "new task-creating technology" being the only unambiguously pro-worker type. The article suggests that firms using AI to enhance human expertise rather than automate labor may gain a competitive advantage, using the example of data center technicians who can take on more complex tasks with AI support.