Editor's Synopsis
Bharat Chandar highlights a key pattern in AI-exposed jobs: occupations with a higher share of college-educated workers are growing, while those with a lower share are shrinking. This observation suggests that AI is following the same trajectory as previous technology shifts, which have historically complemented college-educated workers rather than displaced them.
The implication is that AI adoption may be reinforcing existing labor market inequalities tied to education, rather than disrupting them in novel ways. This challenges narratives that AI will be a great equalizer or that it will primarily threaten white-collar, educated workers.