I love Jamaica. I built my companies here. I have trained hundreds of Jamaicans in AI for free, week after week, for seven years. I sit on the National AI Task Force. I have donated strategy and consulting work to government ministries that needed it. I am, by any reasonable measure, one of the most committed people to Jamaica's AI future in the country.
Which is exactly why I can say this plainly: Jamaica is not where it needs to be in AI. And the gap between where we are and where we need to be is not closing fast enough.
I am not writing this to complain. I am writing it because I think honest diagnosis is the only path to meaningful action. So let me tell you, as someone who has been inside this problem for fifteen years, what is actually missing.
1. A National AI Strategy with Teeth
Jamaica has a National AI Task Force. I am on it. It is filled with capable, committed people. We have done good work in establishing the intellectual foundation for Jamaica's AI agenda.
What we do not yet have is an enacted, funded, accountable national AI strategy. The difference between a strategy document and a strategy is implementation. It is budget lines. It is designated ministries with AI mandates. It is KPIs that someone is accountable for hitting. It is a Minister who can be asked in Parliament: what did you deliver on AI this quarter?
Countries that are winning in AI - Singapore, Estonia, Rwanda, the UAE - did not get there with advisory committees and consultation papers. They got there with political decisions, funded programmes, and clear accountability. Jamaica needs to make those decisions. The task force work is a foundation, not a destination.
2. Data Infrastructure
AI runs on data. Good AI runs on good data. And Jamaica does not have the data infrastructure to support world-class AI development at scale.
What does that mean in practice? It means that critical government datasets - health records, crime data, tax data, land registry data, economic activity data - exist in incompatible formats, in legacy systems that do not talk to each other, in paper archives that have never been digitised, or in silos guarded by institutional turf wars.
When I build AI systems for financial inclusion, I need data on credit behaviour across the informal sector. That data exists - in the patterns of mobile money transactions, in the records of microfinance institutions, in the purchase histories of informal vendors. But it is not structured, not accessible, not governed in a way that allows responsible AI use. Building that data infrastructure is not glamorous. It does not generate press releases. But it is the precondition for almost everything else.
Jamaica needs a national data strategy that sits alongside its AI strategy - one that addresses standardisation, digitisation, governance, and access in a coordinated way. Without it, we are trying to build AI on sand.
3. AI Talent at Scale
Jamaica produces talented people. We always have. The problem is not talent. The problem is pipeline, retention, and incentive.
The pipeline: our universities are beginning to respond to the demand for AI and data science skills, but the curriculum lag is real. Students graduating from computer science programmes in Jamaica today are still being taught foundations that are five to ten years behind the current frontier. The universities are not entirely to blame - curriculum revision is slow and AI is moving fast. But the gap is there and it is widening.
Retention: Jamaica's best technologists face constant pulls to emigrate. The United States, Canada, and the United Kingdom are actively recruiting Caribbean talent, offering salaries that no Jamaican company can match at current scale. The brain drain in tech is not a myth. I see it in my own hiring processes. The candidates who turn me down are not lazy - they are rational. They are choosing economic security for their families.
Incentives: Jamaica does not yet have the startup ecosystem - the risk capital, the accelerators, the government procurement pathways, the regulatory sandboxes - that would make building an AI company in Jamaica as attractive as building one in Miami or Toronto. Until those incentives are in place, some of our best AI talent will build elsewhere.
I have tried to address this directly: The Genius Project, seven years of free AI training, the IMPACT AI Lab collaboration with UWI, the 14West Fund. But the systemic answer has to come from government and institutional investment, not just from individual founders doing what they can.
4. AI Governance and Regulation
Jamaica does not yet have an AI governance framework. We have the task force, which is working on one. But we do not have enacted regulations, liability frameworks, or institutional bodies responsible for AI oversight.
This matters for two reasons. First, because unregulated AI adoption carries real risks - bias in credit decisions, privacy violations in public surveillance systems, manipulation of public opinion through automated social media activity. These are not hypothetical risks in the Jamaican context. They are already happening, in forms that are difficult to address without legal and regulatory tools.
Second, because Jamaica's AI governance posture affects our attractiveness as a destination for international AI investment and partnership. Responsible AI governance is increasingly a market signal. Governments and companies investing in AI partnerships across the Caribbean want to know that their partners have governance frameworks that reduce risk and demonstrate accountability. Jamaica needs to build that credibility.
5. The Ambition Gap
This is the one I find hardest to articulate and most important to name: Jamaica has not yet fully committed to the ambition of AI leadership.
There is a version of Jamaica's AI future that is reactive and followership - we adopt tools and platforms built elsewhere, we train our workforce to operate AI systems designed in Silicon Valley or Shenzhen, we become a market for other countries' AI products rather than a creator of our own. That path is comfortable. It requires no difficult political decisions. It attracts no criticism for being too bold.
And it will leave Jamaica behind in the most important economic transformation of the next century.
The alternative - Jamaica as a genuine AI pioneer, building AI for its own context and exporting AI intelligence to the region and the world - requires betting on ourselves. It requires the Government of Jamaica to fund AI research and development at scale. It requires our universities to partner aggressively with industry. It requires our private sector to take the risk of AI investment. It requires every minister, every CEO, every university president to understand that AI is not a technology trend. It is the competitive landscape of the next 30 years.
I have been betting on Jamaica since before that bet looked likely to pay off. I will keep betting. But Jamaica needs more people making that bet - with capital, with policy, with institutional commitment, and with the ambition to lead rather than follow.
The Path Forward
None of what I have described above is insurmountable. Jamaica has the intellectual capital, the creative energy, and the global diaspora connections to compete in AI at a level that would astonish people who underestimate this country. What is required is the will to translate that potential into a programme of action.
Enact the AI strategy. Fund the data infrastructure. Build the talent pipeline in partnership with universities. Create the governance framework. And make the political decision that Jamaica will lead - not follow - in the Caribbean's AI future.
The Caribbean doesn't need permission to lead. Neither does Jamaica.