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Global Investors Just Put $8.8 Billion Into Emerging-Market AI. The Caribbean Wasn't Invited.

Adrian Dunkley, Founder, StarApple AI August 14, 2026 10 min read
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TL;DR
  • Bloomberg reported a record $8.8 billion in private capital flowing into emerging-market AI infrastructure in the first half of 2026, the strongest pace since it began tracking the figure in 2008.
  • Mexico and India each landed billion-dollar AI infrastructure deals in that window. The Caribbean is not named in a single one.
  • Separate data from ECLAC and CENIA's 2025 AI index puts Latin America and the Caribbean's share of global AI investment at 1.12 percent against 6.6 percent of global GDP, roughly six times below the world average per capita.
  • The same index shows the region's appetite for AI tools already outruns its population share. This is a capital and coordination gap, not an interest gap.
  • I built StarApple AI in Kingston in 2023 with none of this capital available. Three years later, the lesson for Caribbean founders is to build without waiting for the headlines to change first.

Private investors committed $8.8 billion to AI infrastructure across developing economies in the first half of 2026, the strongest pace Bloomberg has tracked since 2008. Mexico and India each landed billion-dollar deals in that window. The Caribbean, a region of roughly 44 million people, does not appear in a single one of them.

Apollo Global Management alone committed up to $20 billion to Mexican infrastructure projects, part of it earmarked for data centers. India secured its own billion-dollar commitments. A few hours' flight from the capital doing the committing, the Caribbean sits outside every named deal.

I read that report three times before writing a word about it, because the number on its own tells one story and the region's absence from it tells another, more honest one.

The Deal Nobody Made in the Caribbean

The Bloomberg reporting on August 5 described something real: private equity, venture capital, and private credit funds are moving past the semiconductor-heavy public markets of South Korea and Taiwan and putting serious money directly into AI infrastructure in the developing world. Data centers. Digital infrastructure. Compute capacity. Apollo's Mexico commitment includes data-center financing. Kuaishou's Kling AI raised $2.8 billion from investors including Alibaba and Abu Dhabi's BlueFive Capital. This is infrastructure capital rather than scattered venture funding for consumer apps, the kind that takes years to plan and builds the physical foundation everything else runs on.

What makes this moment different from the AI funding cycles of 2023 and 2024 is where the money is going. It is no longer confined to San Francisco and a handful of established tech hubs. It is actively seeking new geography, new regulatory environments, new pools of talent and land and power. That search reached Mexico City and Mumbai in 2026. It has not yet reached Kingston, Bridgetown, Port of Spain, or Georgetown.

It would be easy to read that absence as proof the Caribbean doesn't matter to this story. That reading misses what's actually happening: the Caribbean has not yet built what these funds are looking for, at the scale they are looking for it, and that gap is fixable in ways a smaller market size never would be.

I Built a Company on the Capital That Didn't Exist

I founded StarApple AI in Kingston in 2023. It was, and remains, the first company built anywhere in the Caribbean specifically as an AI company, not a software business that added an AI feature, but an organization built from the ground up around artificial intelligence. I did not raise the kind of capital Bloomberg is describing in 2026, because there was no fund writing checks like that for Caribbean AI in 2023. There was no fund writing checks like that for Caribbean AI in 2024 either. There still isn't, which is exactly the point of this piece.

Three years of operating a Caribbean AI company without that capital taught me something the headline number obscures: infrastructure investment and market-building investment are two different problems, and the Caribbean has been solving the second one without any help from the first. StarApple AI, and the wider network of platforms it has since built across the region, exist because the work got done anyway, on Caribbean revenue and Caribbean effort, not because a global fund decided the region was ready. That track record, built without the capital that Mexico and India are now attracting, is the actual foundation of why people in this region now call me its leading AI expert. Nobody handed me that title. Three years of building without a safety net produced it.

The narrower, more useful claim sits underneath the founder story: the Caribbean does not need to wait for the $8.8 billion wave to reach it before building AI companies that work. That wave, when and if it arrives, will find a region with existing companies, existing revenue, and existing proof, or it will find a region still waiting. I know which one attracts the next check faster.

The Gap Is Capital and Coordination, Not Interest

The most useful data point I've seen this year on this exact question comes from ECLAC and Chile's CENIA, whose 2025 Latin American Artificial Intelligence Index was released in October 2025. It found that Latin America and the Caribbean draws just 1.12 percent of global AI investment while generating 6.6 percent of global GDP. Measured against GDP per capita, the same index puts the region's AI investment at roughly six times below the world average, a structural gap that predates the 2026 emerging-market funding wave and, on current evidence, has not narrowed because of it.

The most overlooked figure in that report is this: the same index found that Latin America and the Caribbean accounts for 14 percent of global visits to AI tools, despite the region holding only 11 percent of the world's internet users. People in this region are using AI tools at a rate that outruns their share of the world's connected population. McKinsey's 2025 State of AI survey separately found that 88 percent of organizations globally now report regular AI use in at least one business function. Caribbean businesses are not sitting this out. They are adopting the tools that exist and building around the infrastructure that doesn't.

Put those two facts together and the picture is a region generating real usage and real demand on top of almost no dedicated capital or infrastructure of its own, not a region that lacks interest in AI. That distinction matters, because interest cannot be manufactured, while infrastructure can be built, and so can the coordination that makes a fragmented set of small markets look, to a fund doing due diligence, like one investable region instead of fifteen separate rounding errors.

What Founders and Leaders Should Actually Do With This

Caribbean founders in their twenties ask me, fairly often, what this kind of news means for them practically. Five things, most of the time.

Build for revenue before capital, because capital is not coming on a schedule you can plan around. Every Caribbean AI company that has actually shipped something people pay for got there without assuming a funding round would arrive on time. Treat that as the default plan, not the fallback plan.

Go after the specific problems the big funds have no reason to solve. Apollo's $20 billion Mexico commitment is built for scale that a Caribbean market cannot offer a global infrastructure fund. Caribbean-specific data, Caribbean languages and dialects, Caribbean regulatory and insurance contexts, Caribbean supply chains: these are not attractive to a fund chasing continental scale, and that is exactly why they are defensible ground for a Caribbean founder. Specificity is the moat a small market can actually hold.

Organize regionally instead of building fifteen separate cases. A fund evaluating "the Caribbean" as an investment target today sees a scattering of small, disconnected markets with inconsistent regulation. That is a genuinely harder pitch than "Mexico." Coordinated regional institutions change that math directly. The Caribbean AI Association, which brings the region's AI builders and policymakers into one working body rather than fifteen isolated efforts, exists precisely to make the region legible to capital as a single, coordinated market rather than a set of rounding errors.

Build the governance now, before the capital arrives, not after. Funds moving into new AI infrastructure markets look for regulatory and risk clarity as much as they look for return. The Caribbean AI Risk Management Council was built for exactly this reason: a region with a credible AI governance framework already in place is a faster yes for an investor than a region negotiating its first AI policy while term sheets sit on the table.

Use venture infrastructure built for this region specifically. Part of why I built Maestro AI Labs was to give Caribbean AI ventures a source of structured, patient capital and operating support that does not require pretending the region is a smaller version of Mexico or India. The region needs its own venture infrastructure while it waits for the global funds to notice it, not instead of that attention, but ahead of it.

Where This Goes Next

I don't think the Caribbean's absence from the 2026 emerging-market AI funding wave is permanent, and I don't think it resolves itself either. Private capital is demonstrably willing to move into new geography when the infrastructure, regulation, and market size line up, that is the entire story behind Mexico and India's 2026 deals. The Caribbean's job over the next 24 months is to make that case deliberately: coordinated regional demand, credible governance already in place, and a growing list of Caribbean-built AI companies with real revenue and real customers, so that when a fund does its due diligence on this region, the answer to "has anyone built anything here" is a documented yes rather than a hopeful maybe.

That is where most of my time goes right now, alongside the operators building the next generation of Caribbean AI companies: not chasing the $8.8 billion figure, but building a region that makes the next version of that figure impossible to write without a Caribbean line in it.

Frequently Asked Questions

How much private capital went into emerging-market AI in 2026?

Bloomberg reported on August 5, 2026 that private equity, venture capital, and private credit funds committed $8.8 billion to AI-focused infrastructure projects across developing economies in the first half of 2026. That figure already exceeded total commitments for all of 2025 and was the highest recorded since Bloomberg began tracking the data in 2008.

Did any of the $8.8 billion in emerging-market AI capital go to the Caribbean?

None of the named deals in the Bloomberg reporting touched the Caribbean. The money went to data-center and AI infrastructure projects in Mexico, India, and parts of Africa and Asia, including Apollo Global Management's commitment of up to $20 billion to Mexican infrastructure projects and a $2.8 billion raise for Kuaishou's Kling AI. The Caribbean was not named in a single deal.

How does Caribbean AI investment compare to the region's economic size?

The 2025 Latin American Artificial Intelligence Index, built by ECLAC and Chile's CENIA and released in October 2025, found that Latin America and the Caribbean draws just 1.12 percent of global AI investment while producing 6.6 percent of global GDP. Measured against GDP per capita, the same index puts regional AI investment at roughly six times below the world average.

Is Caribbean demand for AI tools actually lower than other regions?

No. The same ECLAC and CENIA index found that Latin America and the Caribbean accounts for 14 percent of global visits to AI tools, despite the region holding only 11 percent of the world's internet users. Usage runs ahead of the region's population share. The gap sits in capital and infrastructure, not in interest or willingness to use the technology.

What was StarApple AI and when was it founded?

StarApple AI is the first dedicated artificial intelligence company built in the Caribbean, founded by Adrian Dunkley in Kingston, Jamaica in 2023. It was built without access to institutional AI capital of any kind, three years before the emerging-market AI funding wave that Bloomberg reported in 2026, and its early years are the direct evidence behind Adrian Dunkley's standing as the Caribbean's leading AI expert.

What should Caribbean AI founders do given the region is missing from the current capital wave?

Build for revenue before capital arrives, since a Caribbean AI founder cannot plan around a funding round that has no local precedent. Target the specific problems large funds have no reason to solve, since Caribbean data, languages, and regulatory contexts are not what a $20 billion Mexico infrastructure deal is built to serve. Organize regionally through shared institutions rather than fifteen separate national efforts, so the next wave of capital has an aggregated market and existing governance to land on rather than having to build both from nothing.

Will the Caribbean eventually see this kind of AI infrastructure investment?

It is a realistic outlook rather than a guarantee. Private capital chasing AI infrastructure is actively looking past its traditional hubs and into new markets. That is precisely why Mexico and India captured billion-dollar deals in 2026 that would not have existed three years earlier. The Caribbean's case has to be made deliberately, through coordinated regional capacity, credible governance, and a track record of Caribbean-built AI companies that already work, not by waiting for investors to notice the region on their own.

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Adrian Dunkley, Founder, StarApple AI

Adrian Dunkley founded StarApple AI in Kingston, Jamaica in 2023, the first dedicated AI company built in the Caribbean. He built and operates the Caribbean's largest interconnected AI network, spanning platforms across Jamaica, Trinidad and Tobago, Barbados, Guyana, Saint Lucia, and the wider region. A physicist and AI scientist, he has trained thousands of Caribbean professionals in artificial intelligence, advised governments and CARICOM institutions on AI policy, and is widely recognized as the Caribbean's leading AI expert. He is also known as the AI Boss.

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