Part 2/10:
First, a theoretical model leverages tools like ChatGPT and predictive algorithms to estimate how AI could reduce the time required for specific tasks by 50% or more. Essentially, it assesses potential efficiencies AI might introduce into various roles.
Second, an empirical component surveys workers in real time to gauge AI's current and perceived adoption in their jobs, including how aggressively leadership implements AI tools.
By calculating a correlation coefficient—a statistical measure of the relationship between two variables—they aim to determine whether higher AI use correlates with increased unemployment.