Ghana is accumulating digital data faster than it can turn it into economic value, and the window to build a competitive artificial intelligence (AI) industry before regional rivals consolidate their lead is narrowing, two technology experts have warned.
Dr Eugene Frimpong, a data analytics and AI expert, and technology researcher Mac-Jordan Elikem Degadjor made the assessment during an X Space session hosted by The High Street Journal, offering one of the most direct public analyses of the gap between Ghana’s growing data infrastructure and its near-absent AI application layer.
Dr Frimpong placed the data growth picture in sharp relief. Mobile data traffic in Ghana is expanding at roughly 40 percent annually. The digitisation of government services through the National Information Technology Agency (NITA), the Ghana Card biometric database, electronic passport systems and health records is generating a data footprint that he described as the largest storage capacity base in the West African sub-region. Google’s 39 million US dollar data centre in Accra anchors that infrastructure alongside private players. “We are moving from being the gold coast to actually being the data coast,” he said, calling data “the digital oil of the 21st century.”
The government’s National AI Strategy, unveiled this year, acknowledges computing power as the engine of the AI economy and emphasises the need for robust digital infrastructure to support high-volume data processing and cloud-based innovation. President John Mahama has set an explicit ambition of making Ghana the AI hub of Africa.
Yet ambition and application remain disconnected. Dr Frimpong said Ghana is still at an infant stage in deploying AI at scale, trailing Kenya, Nigeria, Rwanda and South Africa in building working AI products from available data. Despite its progress, Ghana still faces significant challenges, with infrastructure remaining one of the biggest hurdles to large-scale AI deployment. “We are collecting the data, but the question is, are we actually using it to better our lives?” he said.
The practical use cases he pointed to are urgent. Predictive healthcare models could identify patients at high risk of strokes and heart attacks before emergencies occur. AI-driven fraud detection systems could stem the billions of cedis lost annually to mobile money and telecom scams. Neither application requires technology that does not already exist. What it requires is the deliberate pipeline from raw data to trained model to deployed service, a pipeline Ghana has not yet built at scale.
Degadjor identified three structural blockages. Power reliability is first. Data centres and AI systems require uninterrupted, high-quality electricity supply, and even brief interruptions can affect high-grade computing facilities. Brain drain is second. Data centres and servers without engineers who can manage and defend them deliver no economic value, and Ghana continues to lose trained talent abroad. Policy readiness is third. Degadjor urged the use of regulatory sandboxes to test new AI rules in controlled environments before nationwide rollout, rather than importing governance frameworks designed for foreign contexts.
A central plank of the National AI Strategy is the One Million Coders Programme, which aims to equip Ghana’s youth with digital skills including AI, data science and cybersecurity, framing skills development as a national social contract rather than a standalone technical initiative.
Dr Frimpong argued that the talent pool already exists in an informal sense. “The average Ghanaian is mathematically sharp,” he said, pointing to market traders who perform complex mental arithmetic without calculators as evidence of an underlying numeracy base that structured AI training could rapidly develop. He urged young Ghanaians to pursue online certifications and professional development without waiting for university pathways.
Ghana’s political stability, growing digital infrastructure and tech-inclined youth population position it well to lead the West African data economy, but analysts have noted the outcome is not guaranteed and will require deliberate investment, local data governance and support for homegrown startups rather than simply hosting foreign-owned infrastructure.
Both experts converged on the same conclusion: Ghana’s data advantage is real but time-limited. The country must move from collecting information to exporting intelligence.
