
Caribbean Futures
A regional AI research resource and lab, similar to CERN
AI-generated content is poisoning the internet, making it less reliable to access clear facts. A regional commons could be a counterweight.

CERN worked because the question was big enough that no single nation could afford to ask it well alone. The synchrotron was too expensive, the talent too distributed, the timeline too long for any one ministry of science to take on. Pooling was not idealism. It was arithmetic.
Frontier AI now poses a question of the same size for the Caribbean. No single island can afford the compute. No single university can attract the talent. No single regulator can monitor the harms. The arithmetic that produced CERN is the arithmetic that should produce a regional AI research commons — not as a symbol of solidarity, but as the only configuration in which the work can be done at all.
AI-generated content is poisoning the internet, making it less reliable to access clear facts. This is a quiet emergency. The region's schools, its newsrooms, its public services all depend on a shared substrate of searchable truth. That substrate is degrading in real time, and the degradation falls hardest on the places with the fewest resources to filter it.
A regional commons could be a counterweight. Not in scale — the Caribbean will never out-compute the hyperscalers — but in posture. A regional lab could specialise in evaluation rather than training. It could become the place where models are tested against Caribbean languages, Caribbean knowledge bases, Caribbean failure modes. The leverage of that work would compound. Every model deployed in the region would have to pass through it.
The institutional shape matters. CERN succeeded because its governance was federated and its science was open. A Caribbean AI commons that replicated those properties — federated funding, open evaluation, shared infrastructure — would inherit CERN's structural advantages. One that tried to centralise control in a single capital would inherit the failure modes of every other regional institution we have attempted.
The talent is already there, but it is leaving. A serious commons would have to be designed first as a place that the diaspora wants to return to, and only second as a place that does science. The salary is part of it. The infrastructure is part of it. The thing that actually retains people, in our experience, is the sense that the work being done is the work that needs doing — and that no one else is going to do it.
The result would be small in compute and large in agency. That is the right trade for a region that has always made meaning out of scarcity. We are not going to build the next frontier model. We can build the institution that tells the rest of the world whether the frontier model is fit for purpose in our context. That is a position of influence disproportionate to our size, and it is available to us only for the next few years.
— Fazal Ali · 04 April 2026 —
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