Africa’s artificial intelligence potential is being reframed as a core economic growth engine, with projections of $1 trillion in additional GDP by 2035. A new African Development Bank report positions AI as central to productivity, jobs, and inclusive development across West Africa and the wider continent.
Introduction
Africa AI productivity took centre stage in Abidjan, Ivory Coast, as the African Development Bank released a G20-backed report outlining how artificial intelligence could drive economic growth, labour efficiency, and inclusive transformation across Africa by 2035.
AfDB Sets Out a Continental AI Growth Case
The African Development Bank has released
a report that elevates artificial intelligence from a niche technology issue into a macro-economic development priority.
Developed under the G20 Digital Transformation Working Group, the study argues that inclusive deployment of AI could generate up to $1 trillion in additional GDP by 2035. That figure is equivalent to nearly one-third of Africa’s current economic output, placing AI alongside infrastructure, energy, and industrialisation as a potential growth driver.
The analysis, conducted by consulting firm Bazara Tech, highlights Africa’s favourable demographics, expanding digital infrastructure, and ongoing sectoral reforms. Together, these factors position the continent as one of the most promising regions globally for AI-driven productivity gains, despite persistent infrastructure and skills gaps.
High-Impact Sectors Driving AI Gains
Rather than being evenly distributed, Africa AI productivity gains are expected to concentrate in a limited number of high-impact sectors where readiness and scale intersect.
The report identifies agriculture, wholesale and retail, manufacturing and Industry 4.0, finance and financial inclusion, and health and life sciences as priority areas. Together, these sectors are projected to capture around 58% of the total AI dividend, equivalent to roughly $580 billion by 2035.
This sectoral focus links AI directly to everyday economic realities, including food security, informal trade, factory modernisation, access to credit, and healthcare delivery. In West Africa, these applications align closely with regional development priorities such as agricultural productivity, urban employment, and financial inclusion.
Projected AI Gains by Priority Sector
| Sector | Share of AI Gains | Development Impact |
| Agriculture | 20% | Higher yields and food security |
| Wholesale and Retail | 14% | Formalisation and productivity |
| Manufacturing and Industry 4.0 | 9% | Industrial efficiency and jobs |
| Finance and Inclusion | 8% | Expanded access to credit |
| Health and Life Sciences | 7% | Improved diagnosis and care |
Five Enablers Underpinning Africa AI Productivity
The report stresses that realising Africa AI productivity gains depends on five tightly linked enablers: data, compute, skills, trust, and capital.
Reliable and interoperable data provides the foundation for AI insights, while scalable compute infrastructure allows solutions to be deployed efficiently. At the same time, the availability of skilled workers is essential to build, operate, and maintain AI systems, particularly in emerging African markets.
Equally critical is trust, supported by governance and regulatory frameworks that encourage adoption while managing risks. Finally, adequate capital investment is required to de-risk innovation and accelerate deployment across borders and sectors.
- Data, compute, and skills form the technical backbone of AI deployment.
- Trust and capital determine whether AI adoption scales sustainably.
Nicholas Williams
“The Bank is ready to release investment to support these actions.” He added that governments and the private sector must act quickly to achieve productivity gains and create quality jobs.
A Phased Roadmap from Ignition to Scale
To translate ambition into execution, the African Development Bank outlines a three-phase roadmap toward AI readiness: ignition from 2025 to 2027, consolidation between 2028 and 2031, and scale from 2032 to 2035.
The ignition phase focuses on early pilots, regulatory foundations, and infrastructure build-out. Consolidation centres on expanding proven use cases and strengthening institutions, while the scale phase aims to embed AI across economies and value chains.
This structured timeline provides governments, development finance institutions, and investors with a shared framework, reducing uncertainty and aligning investment decisions across the continent.
Ousmane Fall
“Africa’s challenge is no longer what to do — it is doing it on time.”
Moving Forward
Africa AI productivity is now quantified, policy-anchored, and tied to a clear execution roadmap, marking a shift in how technology is positioned within African development strategy.
While gains are likely to emerge first in digitally advanced corridors, the AfDB framework highlights how targeted investment and governance could help spread benefits more evenly, shaping AI into a tool for inclusive growth rather than concentrated advantage.
Sources: African Development Bank Group (AfDB), and APO Group distribution.
Prepared by Ivan Alexander Golden, Founder of THX News™, an independent news organization delivering timely insights from global official sources. Combines AI-analyzed research with human-edited accuracy and context.
