The Diffusion of New Technologies*

S-Tier
Journal: Quarterly Journal of Economics
Year: 2025
Volume: 140
Issue: 2
Pages: 1299-1365

Authors (6)

Aakash Kalyani (not in RePEc) Nicholas Bloom (Stanford University) Marcela Carvalho (not in RePEc) Tarek Hassan (Boston University) Josh Lerner (not in RePEc) Ahmed Tahoun (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 6 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically impactful new technologies is geographically highly concentrated, more so even than overall patenting: 56% of the most economically impactful technologies come from just two U.S. locations, Silicon Valley and the Northeast Corridor. Second, as the technologies mature and the number of related jobs grows, hiring spreads geographically. This process is very slow, taking around 50 years to disperse fully. Third, while initial hiring in new technologies is highly skill-biased, over time the mean skill level in new positions declines, drawing in an increasing number of lower-skilled workers. Finally, the geographic spread of hiring is slowest for higher-skilled positions, with the locations where new technologies were pioneered remaining the focus for the technology's high-skill jobs for decades.

Technical Details

RePEc Handle
repec:oup:qjecon:v:140:y:2025:i:2:p:1299-1365.
Journal Field
General
Author Count
6
Added to Database
2026-01-24