TD Economics Sees AI Pushing US Unemployment Up 1.4 Points
A high-adoption scenario could raise US unemployment by 0.7 to 1.4 percentage points by the early 2030s, the bank says.
AI is more likely to transform many jobs than eliminate them outright, but faster adoption could still create a measurable US employment shock. TD Economics said a high-adoption scenario could lift US unemployment by 0.7 to 1.4 percentage points by the early 2030s.
The analysis identifies data-processing and information industries as facing greater displacement risk, while jobs where AI complements workers are more resilient. Its conclusion contrasts with a simple headcount-cutting narrative: the impact depends on how quickly businesses adopt AI and whether work is redesigned around it.
Goldman Sachs similarly identifies telephone operators, insurance claims clerks and bill collectors as among the roles with the highest substitution risk, while education, judging and construction management have greater augmentation potential. PwC’s 2026 Global AI Jobs Barometer found that AI-exposed professional roles are growing faster overall, but entry-level roles are shifting towards more senior skills.
What employers should take from it
For an owner planning an AI restructure, a forecast is not a redundancy rationale. Document the specific work changes, assess whether affected roles genuinely disappear, consult employees before decisions are made, and actively consider suitable redeployment. Apply the redundancy and consultation rules that govern the relevant jurisdiction rather than assuming automation makes termination lawful.
- TD Economics estimates that high AI adoption could raise US unemployment by 0.7 to 1.4 percentage points by the early 2030s.
- Data-processing and information industries face greater displacement risk, while AI-complementary roles are more resilient.
- Goldman Sachs identifies telephone operators, insurance claims clerks and bill collectors as high-substitution-risk roles.
- PwC says AI-exposed professional roles are growing faster, while entry-level work is shifting towards senior skills.
For employers: Treat AI forecasts as planning inputs, not redundancy grounds: document the changed work, establish whether roles genuinely disappear, consult before deciding, and assess suitable redeployment under the rules applying in your jurisdiction.
Sources: Generative Artificial Intelligence, Productivity, and the Future of Work · The jobs AI is likely to boost—and those it may disrupt · 2026 Global AI Jobs Barometer
General information for employers, not legal advice. Reporting summarised from the linked sources; confirm details with the primary source.