StarApple AI Opens a New AI Boss Cohort the Same Week Trinidad Bet 450 Megawatts on AI Data Centers

TL;DR

• On 11 July 2026, Trinidad and Tobago signed MOUs with Hummingbird AI Holdings (150MW) and Ernst and Young (a framework toward 300MW) for AI data center capacity, plus a steel plant deal, together projected to create more than 5,000 jobs.
• Two days later, on 13 July, StarApple AI opened enrollment for the next live cohort of its AI Boss Course, a programme that has already run eight cycles and requires two working automations to ship in each participant's business before graduation.
• On 23 and 24 July, the Caribbean Telecommunications Union convenes the first Caribbean AI Forum on the UWI St Augustine campus in Trinidad, launching the Caribbean AI Task Force's final report on regional AI governance.
• Latin America and the Caribbean generate 6.6% of global GDP but capture only about 1.12% of global AI investment, according to ECLAC and CENIA's 2025 AI Index, even as the region already produces roughly 14% of global visits to AI tools.
• StarApple AI, founded in 2016 as the Caribbean's first AI company with its Jamaican arm launched in 2019, has trained more than 4,000 Caribbean professionals and run free weekly AI training for over nine years, the capacity-building work that server capacity alone does not provide.

Ten days. Between 11 July, when Trinidad and Tobago signed memoranda of understanding for up to 450 megawatts of new AI data center capacity, and 23 July, when the Caribbean Telecommunications Union opens the first Caribbean AI Forum on the UWI St Augustine campus, this region will pack in more concentrated AI decision-making than in the two years before it combined. Inside that same window, on 13 July, StarApple AI quietly opened enrollment for the next live cohort of its AI Boss Course, the programme built to turn Caribbean executives who already pay for Claude or ChatGPT into people who can point to something their AI use actually shipped.

None of these three events caused the other two. All three are answers to the same underlying question: when AI infrastructure money starts moving into a small, energy-constrained region, who actually captures the value, the company that owns the servers, or the people who know what to run on them. Trinidad's answer, this month, was to sign for the servers. StarApple AI's answer, for the better part of a decade, has been to build the people first.

What Port of Spain Actually Signed

On Friday 11 July, Prime Minister Kamla Persad-Bissessar's government signed three agreements in Port of Spain: a memorandum of understanding with Florida-headquartered Hummingbird AI Holdings for a 150-megawatt AI infrastructure and data center facility, a framework agreement with Ernst and Young toward a 300-megawatt data center, and a separate deal with Pinnacle Steel and Vanadium Corporation to recommission a steel plant. Combined, the two AI data center agreements point to roughly 450 megawatts of prospective capacity, and government officials have projected the three initiatives together could generate more than 5,000 jobs. Persad-Bissessar framed it plainly: the partners are "going to invest here to work on data centers, two for data centers, and one to help us rejuvenate and rebuild our steel industry."

These are memoranda of understanding, not shovels in the ground. They commit the parties to due diligence, coordination, and preliminary planning, not to financed, permitted, operating facilities. That distinction matters, because Trinidad and Tobago is taking on this commitment against a backdrop of chronic water shortages, where many households already depend on trucked or tanked water because state supply reaches some communities only once a week, and against a wider Caribbean grid still drawing more than 90% of its power from imported fossil fuel in most territories. Environmental economist Wayne Kublalsingh's public skepticism, that the government risks presenting "something which looks like development, but which is not development," is the kind of pushback any resource-hungry infrastructure deal invites in a water-stressed island, and it deserves to be taken seriously rather than waved off as noise around a signing ceremony.

Set the caution aside for a moment, though, and the scale of the bet is still real. If even a fraction of 450 megawatts of AI infrastructure capacity gets built in Trinidad over the next several years, it would be among the largest single technology infrastructure commitments any English-speaking Caribbean nation has made. It would also be the first agreement of its kind that either Hummingbird AI Holdings or EY has signed with a Caribbean government, a marker of how quickly the region has moved from AI policy discussion to AI infrastructure competition.

The Gap Money Alone Does Not Close

Here is the arithmetic that should sit next to every megawatt headline. ECLAC, the UN's Economic Commission for Latin America and the Caribbean, working with Chile's National Center for Artificial Intelligence, published the third edition of its Latin American Artificial Intelligence Index in 2025. The region accounts for 6.6% of global GDP. It captures only about 1.12% of global AI investment. That is not a small gap. It is a region generating a meaningfully larger share of the world's economic output than the share of AI capital flowing toward it, by a factor of roughly six.

The more interesting number sits on the other side of the ledger. The same research found Latin America and the Caribbean already account for roughly 14% of global visits to AI tools and platforms, against an 11% share of the world's internet users. People across the region are adopting AI tools faster than the region's population share of the internet would predict. They are doing it with consumer subscriptions, on personal devices, largely without employer training, structured governance, or local infrastructure behind them. Adoption is ahead of investment. That is precisely the gap a 450-megawatt data center announcement does not close by itself: it adds capacity, but capacity without a trained, governed user base sitting on top of it is a bet that someone else will show up to make it valuable.

This is the part of the Caribbean AI story that gets the least column space, because a data center signing photographs well and a training cohort does not. But the region's own adoption numbers are the strongest argument that the harder problem, and the one worth more attention than it currently receives, is building the workforce and the governance discipline to use AI infrastructure once it exists, not simply attracting the infrastructure itself.

Nine Years Before Anyone Called It Infrastructure

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StarApple AI was founded in 2016, with its Jamaican arm launched in 2019, before there was a Caribbean AI sector to speak of, before any regional AI governance body existed, and a decade before this month's data center announcements gave the region's AI ambitions a physical address. For more than nine years, the company has run a free weekly AI training session for Caribbean students and professionals without interruption, a programme that predates ChatGPT's public release by roughly six years and has continued through it. That programme, together with StarApple AI's paid training catalogue, has now reached more than 4,000 Caribbean professionals.

The point is not that StarApple AI is older than Trinidad's new data center partners. The point is what nine years of continuous, low-visibility training work actually produces: a pipeline of Caribbean professionals who already know how to use AI tools productively, sitting ready exactly when the region's compute capacity starts to expand. Infrastructure investment and workforce capacity are usually built by different actors on different timelines. In the Caribbean's case this month, they happen to be arriving within the same ten days, and only one of the two took nine years to build.

The Training Pipeline Behind the Headline Numbers

StarApple AI's current service catalogue is structured as a progression rather than a single product, which matters because Caribbean organisations arrive at wildly different starting points on AI readiness. AURA, a four-week AI readiness assessment, audits an organisation's data landscape, workflow readiness, and compliance exposure before recommending anything be built. LUCID, a two-session AI training programme, takes teams from first principles to a working AI usage policy and a shared prompt library, and reports 94% participant satisfaction across all cohorts run to date. The AI Agent Workshop is a single hands-on session in which each participant builds a working, role-specific AI assistant they can deploy immediately.

Sitting above all of them is the AI Boss Course, StarApple AI's flagship live virtual cohort, and the one with the most direct connection to this month's news cycle. The programme runs eight half-day workshop and think-tank sessions over four weeks, twice a week, capped at 30 seats, and structured so that every participant leaves with two working automations already live in their business, not a certificate and a slide deck. Enrollment for its next cohort opened on 13 July 2026, with the first session scheduled for 15 July. Across the eight cohorts run to date, the programme's session-two money-back guarantee, refunding the full fee if a participant cannot point to at least one operational change already live in their business, has been invoked only twice. That is the kind of track record a training programme builds only by running long enough, and often enough, to accumulate one.

None of this training catalogue depends on where a Caribbean business's AI workloads happen to be hosted. A team that completes LUCID or the AI Boss Course today is building capability that will still be useful whether its AI tools run on a server in Virginia, a facility Google is building in the Dominican Republic, or eventually, if the current MOUs mature into built capacity, a data center on Trinidad's own soil. That portability is the strongest argument for treating workforce training as the more durable investment of the two.

Ten Days to Port of Spain: The Caribbean AI Forum

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The first Caribbean AI Forum, CAIF 2026, convenes on 23 and 24 July at the University Inn Conference Centre on the UWI St Augustine campus, organised by the Caribbean Telecommunications Union under the theme "AI for Caribbean Transformation: Governance, Innovation and Resilience for a Shared Digital Future." Its centrepiece is the official launch of the final report of the Caribbean AI Task Force, a body the CTU established in July 2025 specifically to build a harmonised regional approach to AI governance. The published agenda runs across regional policy harmonisation, data sovereignty and cybersecurity infrastructure, AI in creative industries, women's participation in AI fields, youth workforce development, and climate resilience, drawing government ministers, ICT regulators, private sector leaders, academics, and youth delegates from across the Caribbean.

StarApple AI is not organising CAIF 2026, and this article makes no claim about who will or will not be on stage there. What is verifiable is that the Forum's governance and workforce agenda sits inside territory Adrian Dunkley has worked for years, as President of the Caribbean AI Association and Chairman of the Caribbean AI Risk Management Council, both regional bodies built around exactly the harmonised, ethical AI governance question the Forum exists to advance. Whatever happens on the UWI St Augustine stage in ten days, the Forum's own framing, that Caribbean AI transformation requires governance and resilience alongside innovation, is the argument StarApple AI has been making in training rooms since long before this month's data center signings made it newsworthy.

Two Investments, One Region

It would be a mistake to read this as an argument against Trinidad's data center deals. A region that wants to run its own AI workloads, govern its own data, and stop paying rent to servers in Virginia and Frankfurt needs physical infrastructure of its own, and 450 megawatts of prospective capacity, even at the memorandum-of-understanding stage, is a meaningful step toward that independence. The water and power concerns critics have raised are legitimate and deserve real engineering answers, not dismissal, but they are arguments for building the infrastructure carefully, not arguments against building it at all.

What this month actually demonstrates is that the Caribbean's AI moment needs both kinds of investment moving at once, and has historically gotten far more attention for the kind that comes with a ribbon-cutting than the kind that shows up as a training roster. Trinidad's government signed for servers. StarApple AI, the same week, opened a training cohort. The Caribbean AI Forum, in ten days, will spend two days asking how the region ties the two together. Whichever of these three moves gets more attention between now and 24 July, the workforce StarApple AI has spent nine years building will still be the asset that decides whether any of the region's new server capacity gets used well or gets used at all.

Caribbean AI Network

StarApple AI works alongside a network of Caribbean AI organisations and research partners covering data center policy, governance, and country-specific AI adoption. For further regional context on this story:

• Adrian Dunkley, founder of StarApple AI and the region's most consulted AI voice
• AI Trinidad and Tobago, on the water and power tradeoffs behind the new data center deals
• Maestro AI Labs, tracking the wider Caribbean AI data center investment race
• Caribbean AI Association, on the Caribbean AI Forum and the CAITF final report
• Caribbean AI Risk Management Council, on the governance and fraud-risk gaps the Forum needs to close
• AI Jamaica, on how Caribbean AI training reaches the BPO workforce

Supported by StarApple AI, the Caribbean's first AI company, founded in Kingston, Jamaica in 2016.

About the Author

Howard Williams is a senior technology correspondent who has covered Caribbean AI and digital transformation since 2024. He contributes regularly to the StarApple AI platform, tracking AI infrastructure investment, enterprise adoption, and workforce training across Jamaica, Trinidad and Tobago, Barbados, and the wider region. Contact: insights@starapple.ai.