Artificial intelligence could raise economic output across Latin America and the Caribbean by 5.1% over a decade, according to forthcoming research from the Inter-American Development Bank. The catch is painfully practical: wages could rise or fall sharply depending on whether workers can move into the jobs AI helps expand.
Watch Desk analysis
What happened
Reuters reports that the IDB’s 2026 flagship report, due in November, estimates only a 0.3% increase in regional output under limited AI adoption and small productivity gains. With broader adoption, the projected increase reaches 5.1% after ten years.
The wage outcomes are much less cheerful. The IDB estimates wages could rise by between 2.3% and 5.3% if workers move into expanding sectors, but fall by 13.5% to 20.9% if they do not. Those are projections from forthcoming research, not a forecast carved into the regional economy’s stonework.
Why it matters
The figures put a useful boundary around the usual AI productivity promise. More output does not automatically mean better pay, and an economy can become more productive while many of its workers become poorer. The missing ingredient is mobility: training, access to new roles and enough demand for people displaced from shrinking ones.
The IDB is the largest development lender in Latin America and the Caribbean, with 48 member countries and 26 borrowing members in the region. Its warning therefore lands as a policy question, not merely a technology-sector thought experiment. Governments and employers may need to fund transitions before adoption accelerates, rather than treating retraining as the ceremonial parsley on an otherwise finished plate.
Our read
This is a strong reason to stop judging AI’s economic impact by GDP alone. The useful measure is whether people can actually cross from declining work into expanding work, and whether institutions make that crossing affordable.
The IDB’s numbers are still preliminary and the report is not yet available, so readers should treat the ranges as an informed signal rather than settled evidence. But the central lesson is already clear: deployment may create the productivity dividend, while policy decides who gets to cash it.
What to watch
- The November report
: whether the IDB publishes the methods and sector assumptions behind the projections. - Worker transitions
: which industries gain jobs and which groups face the largest wage exposure. - Regional policy
: whether governments fund training, job matching and mobility before disruption widens. - AI adoption
: whether real-world productivity gains resemble the report’s high-adoption scenario. Would you accept faster AI adoption if it raised regional output but risked lowering wages for workers who cannot move into new sectors?
Discussion spark: Should governments prioritise slowing AI adoption until worker transitions are funded, or accept near-term wage disruption in pursuit of larger long-term gains?
Sources and evidence
- AI could boost LatAm, Caribbean economy 5.1% over a decade but wages may fall, IDB says – Reuters (21 September 2026, 20:44 UTC)
Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.