Dear Editor,
GUYANA is moving fast: online services, digital payments, e-health, e-education, smarter border controls and data-driven decision making.
That speed is good. But there is a risk we are quietly accepting: we are building essential citizen services on technology networks and platforms we do not control.
When the systems behind ID, payments, licensing, health records, education records, and government communications sit in someone else’s cloud, someone else’s data model, or someone else’s closed platform, Guyana inherits constraints we did not vote for: vendor lock-in, opaque pricing, forced upgrades, restricted audits, and service outages we cannot fix locally.
And in a world where sanctions, geopolitics, and cyber events can change overnight, dependency becomes vulnerability.
If a nation cannot reliably authenticate citizens, deliver benefits, protect sensitive data, or keep government services running during a disruption, then “digital transformation” becomes a fragile layer of paint, not a foundation.
The question is simple: do we want the next decade of citizen services to be modern, secure, and resilient, or modern until the first serious shock?
India faced a scale problem far bigger than ours: how to deliver modern services to hundreds of millions of people.
A key leader in that transformation was Nandan Nilekani, who helped steer India’s digital identity programme (UIDAI) and champion the idea of digital public infrastructure.
India’s lesson is powerful and repeatable: don’t treat digitalisation as a pile of apps. Build public “rails” that everyone can use. Identity that works everywhere. Payments that clear instantly. Secure consent for data sharing. Standard APIs. Clear governance. Once those rails exist, ministries and private companies can innovate quickly without reinventing the basics.
That is why “India Stack” became a platform for inclusion and innovation: it reduced friction, improved trust, and created a common language for systems to work together. The result was not just faster services. It was national capability.
Guyana has a once-in-a-generation window to do something similar, at a smaller scale and with modern tools: build the national rails now, while systems are still being designed, not after they are scattered across vendors and ministries.
We are now entering the next phase: sovereign AI. It means a nation keeps control over the most sensitive AI systems, data, and compute under its jurisdiction, even while it partners with global companies.
Governments are investing in national compute, model development, and AI governance, because they have learned the hard way that the cheapest short-term platform can become the most expensive long-term dependency.
The United Arab Emirates has invested heavily in national AI capability, including the Falcon family of models, with a focus on building models that serve government, education, and industry needs. Canada has launched a Sovereign AI Compute Strategy to strengthen Canadian-controlled compute for research and innovation. Europe is rolling out “AI Factories” through EuroHPC to expand capacity and support secure, locally governed AI development.
The message is clear: countries are treating AI infrastructure the way they treat roads, ports, and power grids. Guyana should do the same, because AI will soon sit inside every major citizen service: customer support; document processing; fraud detection; benefits management; healthcare triage, and workforce training.
If we do not build the foundation deliberately, we will import it by default. And once imported, it is hard to unwind.
I am a Guyana-born technology entrepreneur and investor. Over years, I’ve built and led enterprise platforms, data strategies, and automation programmes across the US, Canada, and India. I have been advocating since 2020 that Guyana must build a strong foundation in digital technology, data strategy, and AI.
Here is the practical path I propose—fast enough to execute, serious enough to matter:
1) Establish a small Sovereign AI and Digital Public Infrastructure taskforce with authority and deadlines.
2) Define data sovereignty rules: classification, residency, retention, audit rights, and vendor obligations.
3) Design a hybrid government architecture that avoids lock-in and supports continuity during outages.
4) Build a secure data-exchange layer across ministries (the “rails” for trusted sharing).
5) Pilot high-impact AI citizen services: permits, public information, benefits queries, and workforce training.
6) Build local capacity: scholarships, apprenticeships, vendor development, and University of Guyana alignment.
This is how we protect citizens while delivering faster services: not with slogans, but with architecture, governance, and talent.
I am the CEO of Zonic Design & Imaging LLC (Silicon Valley, California) and a Guyana-born pioneer in enterprise technology and Ai automation. Published books (2024): • AI for Auto Dealerships and Automotive Dealership Safeguard: Cybersecurity & Financial Compliance Guide.