
I built my companies in Jamaica, have run free AI training here every week for seven years, sit on the National AI Task Force and have given strategy work to ministries at no charge. After fifteen years inside this problem, my assessment is that Jamaica is not where it needs to be in AI, and the gap is not closing fast enough. Here are the five things missing, and what would fix each.
1. A funded national AI strategy with named owners
The Task Force has capable people and has laid the intellectual groundwork. Jamaica still has no enacted, funded national AI strategy.
A strategy becomes real when it has budget lines, ministries with AI mandates, targets someone answers for, and a minister who can be asked in Parliament what was delivered this quarter. Singapore, Estonia, Rwanda and the UAE moved through political decisions, funded programmes and clear accountability, not consultation papers alone.
2. Government data that systems can use
Health records, crime data, tax data, land titles and economic statistics sit in incompatible formats, legacy systems, paper archives or departmental silos. AI built on that is unreliable.
I see this directly in financial inclusion work. Credit behaviour in the informal sector shows up in mobile money transactions, microfinance records and vendor purchase histories, but none of it is structured or governed for responsible use. Jamaica needs a national data strategy alongside the AI strategy, covering formats, digitisation, governance and access. The National Identification System, once rolled out, is the piece that lets records be linked safely.
3. A talent pipeline that keeps people here
Jamaica produces talented people. The problems are pipeline, retention and incentive:
- Pipeline: many computer science courses still teach material five to ten years behind current practice. Curriculum review is slow and AI moves fast.
- Retention: the US, Canada and the UK recruit our technologists with salaries no Jamaican company can match at current scale. Candidates who turn me down are choosing security for their families, and I do not blame them.
- Incentive: risk capital, accelerators, government procurement routes and regulatory sandboxes are thin, so founding an AI company in Miami or Toronto often looks easier.
I have worked on this through The Genius Project, the free training, the IMPACT AI Lab collaboration with UWI and the 14West Fund. Individual founders cannot fix a national pipeline; government and institutions have to fund it.
4. AI rules beyond data protection
The Data Protection Act 2020, in force since December 2023, covers personal data used by AI systems. Jamaica has no AI-specific rules on liability or oversight, and no body responsible for them.
The risks are present now: bias in credit decisions, privacy problems in public surveillance, and automated accounts shaping opinion on social media. Governance also affects investment. Partners weighing Caribbean AI projects ask what oversight exists, and a clear framework makes Jamaica an easier yes.
5. The ambition to build as well as buy
One path has Jamaica adopting tools built elsewhere and training staff to run them. It is comfortable and draws no criticism. It also leaves the country as a customer in the largest economic shift of this century.
The other path means funding research and development, universities partnering with industry, and private firms taking investment risk on AI built for Jamaican conditions and sold to the region. It requires ministers, chief executives and university presidents to treat AI as a core economic question for the next 30 years.
My own position has a weak point. I run AI companies that would benefit from more public investment, and I cannot show that state funding produces better results than letting private firms lead. Rwanda and Estonia suggest it helps; plenty of funded national strategies elsewhere produced little.
What Jamaica's leaders should do this year
- Cabinet and the Ministry of Finance: turn the Task Force's work into a strategy with a budget line in the next fiscal year, a lead ministry and quarterly reporting to Parliament.
- Ministry responsible for digital transformation: publish an inventory of major government datasets, their owners and formats within six months, and pick two to standardise first.
- UWI, UTech and HEART/NSTA Trust: review computer science and data courses against current industry practice with employers in the room, and add applied AI modules by the next academic year.
- Bank of Jamaica, FSC and other regulators: say publicly how existing rules apply to AI in credit, insurance and investment decisions, and use sandboxes to test new cases.
- Large Jamaican companies: put at least one AI contract a year out to local firms, so domestic companies have the revenue to hire and keep talent.
Frequently Asked Questions
Does any Jamaican law already apply to AI systems?
Yes. The Data Protection Act 2020, fully in force since December 2023, applies whenever an AI system processes personal data, and it gives individuals rights in relation to automated decisions. The Office of the Information Commissioner oversees it. Sector rules also apply: a bank using AI for credit decisions remains subject to Bank of Jamaica supervision.
Does Jamaica have a regulatory sandbox for new technology?
The Bank of Jamaica launched a fintech regulatory sandbox in 2020, which lets firms test new financial products under supervision. There is no general AI sandbox. Companies with AI products in finance should approach the BOJ's sandbox first; others should speak to the relevant sector regulator early.
How can a researcher or startup get access to Jamaican government data?
Start with published sources: STATIN releases national statistics, and many ministries publish reports. For unpublished documents, the Access to Information Act 2002 lets anyone request official records, though some categories are exempt. Personal data will usually need a data-sharing agreement and a lawful basis under the Data Protection Act.
What is Jamaica's National Identification System, and why does it matter for AI?
NIDS is the national digital ID being rolled out by the National Identification and Registration Authority. A trusted ID lets government agencies link records about the same person reliably, which most AI uses of public data depend on. Its rollout and privacy safeguards are worth watching for anyone planning public-sector AI work.
Where can Jamaicans get AI training without paying for it?
The Genius Project runs free AI training for young people, and HEART/NSTA Trust offers subsidised technical courses. Many international AI courses can also be audited online at no cost. Pair any course with a small project on local data, which is what employers ask to see.