AV Adoption Projected to Displace 4.5 Million U.S. Jobs and $168 Billion in Annual Wages, Disproportionately Affecting Marginalised Workers

Headline Finding

Research cited in this article estimates that autonomous vehicle adoption could displace 4.5 million U.S. jobs and eliminate $168 billion in annual wages across approximately 14 industries, with the burden falling disproportionately on workers without a college degree, immigrants, and the formerly incarcerated. The fiscal lever is moved in two directions simultaneously: aggregate economic gains are projected at up to $936 billion annually once AVs are fully adopted, but the wage losses are concentrated among workers for whom driving and delivery roles represent accessible entry points into the formal economy. This distributional asymmetry — broad gains, concentrated losses — is precisely the governance problem that cities and federal policymakers must address through workforce transition instruments before deployment outpaces intervention capacity.

Detail

UPCEA (n.d.) estimates a loss of 4.5 million jobs in the U.S. economy and a $168 billion loss in annual wages due to AV automation. The displacement is projected across approximately 14 industries (UPCEA, n.d.; Clements & Kockelman, 2017), including human-driven taxi services, truck driving, insurance, hospitality, and food service. As fewer long-distance truck drivers operate, drive-thrus, motels, and rest stops are expected to see reduced profits. The article notes that ‘many of the jobs vulnerable to replacement by autonomous vehicles are held by marginalized communities, specifically individuals without a college degree, immigrants, and the formerly incarcerated.’ Against this, Clements & Kockelman (2017) estimate $936 billion in annual economic gains once AVs are fully adopted, and an estimated $42 billion increase in automotive manufacturing revenue. Research also projects growth in freight transportation, land development, electronics, digital media, and oil and gas industries.

Governance Implication

1. FISCAL LEVER — DESTROYED FOR SPECIFIC GROUPS: A $168 billion annual wage loss concentrated among workers without college degrees, immigrants, and the formerly incarcerated represents a fiscal lever being moved destructively for the communities least able to absorb it — the gains ($936 billion aggregate) accrue broadly while the losses are structurally targeted.
2. LEGITIMACY LEVER: If AV deployment proceeds without workforce transition policy, the communities most harmed will have legitimate grievances against the technology and its governance, eroding the social licence that cities need to manage the transition — a legitimacy lever at risk.
3. CHAPTER 8 INSTRUMENT NEED: The distributional asymmetry identified here is a direct argument for pre-deployment workforce transition instruments (retraining funds, portable benefits, sectoral bargaining) to be designed and funded before rollout reaches scale — not after 4.5 million jobs are lost.
4. GOVERNANCE CLOCK LAG: Job displacement is already beginning as Waymo expands to five cities, but no universal framework for worker protection is cited as existing — the deployment clock is ahead of the social-policy clock, consistent with the chapter 1 pacing problem applied to labour markets.

Sources

Audrey Bong, ‘The Future of Autonomous Vehicles,’ Emory Economics Review, Feb 23 2026. https://emoryeconomicsreview.org/articles/2026/2/21/the-future-of-autonomous-vehicles — ‘The UPCEA (n.d.) estimates a loss of 4.5 million jobs in the U.S. economy and an $168 billion loss in annual wages due to automation’; ‘many of the jobs vulnerable to replacement by autonomous vehicles are held by marginalized communities, specifically individuals without a college degree, immigrants, and the formerly incarcerated’; ‘$936 billion dollar value increase in economic gains annually from autonomous vehicles once fully adopted’ (Clements & Kockelman, 2017).