Ghana's new National Artificial Intelligence Strategy (2025–2035) aims to inject GHS 500 billion into the national economy. This ambitious target, set by the Ministry of Communication, Digital Technology and Innovations, faces significant challenges. Experts warn that the strategy overlooks critical economic blind spots, potentially undermining its core objectives.
The primary concern is the aggressive replacement of human workers with automated software. This trend, while boosting short-term corporate efficiency, risks creating an “AI Layoff Trap.” Such a trap could erode broader consumer demand, which is vital for sustaining national economic growth. This displacement particularly affects white-collar roles, which are entry points for thousands of graduates.
This situation presents a profound macroeconomic paradox within Ghana's broader economic narrative. While the nation pursues digital transformation, the potential for widespread job losses could contract domestic purchasing power. This directly threatens consumer-facing businesses, including those that adopt AI. Previous technological shifts primarily automated manual labor, but current AI targets cognitive tasks, impacting roles like basic legal research and entry-level bookkeeping.
Mawuli Dzodzome Agbenorto, a Public Servant and IT Consultant, highlights these critical structural blind spots. He notes that the strategy emphasizes infrastructure but neglects the impact on employment and public finance. Agbenorto's analysis points to significant risks that could derail the strategy's intended benefits.
One major implication is a potential collapse in Pay-As-You-Earn (PAYE) tax revenue. The state relies on income taxes from formal white-collar workers as a predictable revenue source. Replacing these workers with AI models, especially offshore ones, permanently reduces the domestic income tax base. This directly impacts government's ability to fund public services and development projects.
Another critical issue is invisible foreign exchange capital flight. Ghana's reliance on foreign-owned AI foundation models means recurring payments in US Dollars for licenses and services. This accelerates capital flight and puts additional pressure on the Cedi, Ghana's national currency. Such outflows could destabilize the economy and hinder local innovation.
Furthermore, policy initiatives like the ‘One Million Coders Programme’ face a significant challenge. Basic front-end coding, often taught in such programs, is precisely what generative AI models automate most efficiently. This creates a mismatch between skills training and future job market demands. Meanwhile, non-automatable, physical, and high-touch technical fields remain underfunded, despite their resilience to AI displacement.
Policymakers must address these concerns to ensure the AI strategy benefits all Ghanaians. Future legislative blueprints will need to protect workers and secure the nation's economic future. Without careful planning, the GHS 500 billion target could remain an unfulfilled ambition, overshadowed by widespread job insecurity and reduced national income.