Ghana's National AI Strategy Is an Economic Blueprint, Not a Tech Roadmap

When Ghana's President framed the country's new national AI strategy, the language was deliberately economic: Ghana must move from being a passive consumer of technology to an active participant in shaping it. Writing for The Business & Financial Times, Dr. Nana Sifa Twum, an economist, unpacks why that distinction matters — and what it means for developing economies across the board.

The global AI landscape is highly uneven. A small number of countries and large technology companies dominate AI development, data infrastructure, and digital platforms. Most developing nations, including much of Africa, remain primarily consumers. That imbalance has a direct economic cost: capital outflows as countries pay for imported software, reduced local innovation, and growing dependency on external systems.

Key Takeaways

• Consumption versus participation is an economic choice: Importing technology generates capital outflows. Building local AI capability enables value creation — through intellectual property, locally tailored solutions, and regional digital exports. Ghana's strategy is a deliberate attempt to capture more of that value domestically.
• Sectoral impact is real and near-term: In agriculture, predictive analytics can reduce post-harvest losses and improve supply chain efficiency. In healthcare, AI diagnostic tools can extend specialist-level care to underserved areas. In financial services, AI-driven platforms can bring unbanked populations into formal systems. In education, personalised learning can strengthen the human capital base that drives long-term economic growth.
• The governance problem is also an economic problem: Trust in how data is collected and used directly affects AI adoption rates, investment flows, and platform effectiveness. A lack of strong data governance frameworks isn't just an ethical gap — it's an economic brake.
• Regional leadership creates compound returns: By sharing experiences and contributing to continental AI governance initiatives, Ghana can shape how AI is adopted across Africa — positioning itself as a hub for digital innovation and attracting investment that reinforces that positioning.

The argument here applies beyond Ghana: for any economy still defining its AI posture, the question isn't whether to adopt AI. It's whether adoption builds or erodes sovereign economic capacity.

Read the full article on The Business & Financial Times