Vanguard economist: AI job losses still in early phase, like ATMs in 1980s

What happened

Vanguard's chief economist compares today's AI disruption to the arrival of automated teller machines (ATMs) in the 1980s, arguing that isolated task automation rarely causes large-scale job losses. Bank teller employment remained stable from 1980 through 2010 despite ATM automation, because lower operating costs let banks open more branches and hire for higher-skill roles like loan officers and fraud specialists.

Why it matters

Nearly four years after ChatGPT's arrival in late 2022, occupations with the greatest AI exposure have not experienced widespread employment declines, and employment growth in highly exposed fields has generally kept pace with or exceeded less exposed ones. The economist argues that widespread job loss fears are likely overblown unless AI triggers a deeper reconfiguration of work like mobile banking did—which only began disrupting teller roles around 2010, when only 9% of bank customers said branches were their primary banking channel by 2025, compared with 36% in 2007.

What to watch

The critical factor is not AI capability alone, but how organizations redesign work around it. True labor market disruption happens when technology combines with new workflows, business models, and institutional changes—as happened with the Electronic Signatures in Global and National Commerce Act of 2000, which enabled fully digital banking and accelerated the shift away from in-person transactions.