Three Volumes. One Continent.
Unlimited Potential.
Emerging Technologies for Development in Africa
Opportunities, Risks and Pathways for Transformation
The first comprehensive, evidence-based analysis of how emerging technologies — from
artificial intelligence and blockchain to genomics, renewable energy systems, and 3D printing —
are being adopted, adapted, and innovated throughout Africa. Moving beyond hype, this
volume explores what ten frontier technology domains mean in practice for a continent
facing climate change, inequality, rapid urbanization, and a youth employment crisis.
Written for policymakers, researchers, entrepreneurs, and development practitioners,
this book is both a reference and a call to action — an argument that Africa's
technological future must be shaped deliberately, inclusively, and on the continent's
own terms.
About This Book
Africa is at a pivotal crossroads. By 2050, the population
will reach 2.5 billion, with 60% under age 25 — the youngest and
fastest-growing group. This demographic reality, combined with urgent
needs in climate adaptation, economic transformation, and expanded
social services, makes technology adoption not merely a goal but a
necessity.
The book examines ten emerging technologies — artificial
intelligence, blockchain, the Internet of Things, renewable energy
systems, drone technologies, 3D printing, robotics, virtual reality,
augmented reality, and genomics — assessing each against Africa's
specific constraints and opportunities. Africa is not a passive receiver
of technologies created elsewhere but an active innovator: M-Pesa's
mobile money ecosystem handles over $1 trillion in cumulative
transactions; Zipline's drone network has completed more than 500,000
medical deliveries across six countries; pay-as-you-go solar systems
serve over 30 million households.
Across five parts, the book situates Africa within global
technology transitions, classifies ten priority technologies and aligns
them with Agenda 2063, examines sector applications in health,
education, agriculture, manufacturing and trade, addresses foundational
challenges in infrastructure and human capital, and outlines strategic
paths at continental, regional and national levels. Throughout, African
ethics and values — Ubuntu, justice, sovereignty, and intergenerational
responsibility — guide the governance analysis.
The central argument: Africa's technological future will be
shaped not by which technologies are adopted but by the strength of the
foundations on which they are built and the quality of the governance
that guides them. Infrastructure, energy, human capital, and
institutions account for more variation in technology adoption outcomes
than the technologies themselves.
Digital Transformation of the Health Sector in Africa
A Framework for Inclusive, Scalable and Sustainable Health Systems Digitalization
Africa stands at an inflection point that may not recur. A convergence of factors — mobile
connectivity, digitally fluent health workers, post-pandemic institutional confidence, and
growing political recognition that external dependence is a vulnerability — makes this the
defining moment for digital health transformation.
This eighteen-chapter, evidence-based guide introduces the Digital Health Technology Stack:
five foundation layers — infrastructure, identity, interoperability, data, and applications —
supported by six cross-cutting enablers that determine whether those foundations ever become
functional health systems. The book fills the gap between granular case studies and sweeping
frameworks, providing policymakers, practitioners, and researchers a practical architecture
for digital health in African contexts.
About This Book
The Digital Transformation of the Health Sector in Africa is
organised around the Digital Health Technology Stack — the most coherent
and practical organizing model for African digital health published to
date. Its five foundation layers (infrastructure, identity,
interoperability, data, and applications) are inseparable from seven
cross-cutting enablers (workforce, research, ecosystem, strategy,
governance, regional cooperation, and financing) that determine whether
those foundations ever become functional health systems.
The book covers the full arc: from Africa's health landscape
and COVID-19's accelerating effect, through each layer of the technology
stack in depth, to workforce development, research, ecosystem building,
national strategy, governance, regional cooperation, financing, and a
phased implementation roadmap. Case studies from Rwanda, Kenya,
Ethiopia, Ghana, South Africa, and Nigeria are set alongside global
models from India, Estonia, Brazil, Australia, and the EU.
The most politically important argument runs through every
chapter: digital health, without deliberate and structural commitment to
equity, will not reduce Africa's health disparities — it will
reorganize them. A health information system that systematically
undercounts the rural poor produces bad data. Bad data produces bad
decisions. Bad decisions produce bad outcomes. Equity is not a value
added to the technical agenda; it is a precondition for the technical
agenda to mean anything at all.
Written with urgency, this book provides the shared language
that policymakers, technologists, clinicians, and financiers need to act
together — and the framework that will remain useful long after
specific statistics have been superseded.
Artificial Intelligence for Africa's Economic, Social and Cultural Development
Building the Capabilities to Maximize Inclusive AI Benefits and Minimize its Risks
A comprehensive, single-volume resource on what it will take for Africa to shape — rather than
merely absorb — the artificial intelligence transformation now reordering the global economy.
Written for policymakers, investors, researchers, and practitioners, it moves deliberately
beyond both the uncritical optimism and the reflexive pessimism that dominate the debate,
replacing them with an evidence-based account of the specific capabilities the continent must
build, layer by layer, to convert AI's promise into inclusive development.
Across 23 chapters, the book is organized around an original analytical instrument — the
Africa AI Stack: six interdependent layers (Energy, Infrastructure, Data, Model,
Orchestration, and Application), three vertical enablers (Talent, Governance, and Continental
Integration), and a transverse Ethics and Standards dimension. Its central argument is that
Africa's marginalization in the global AI order is structural, not destined — and that the
choices made in the 2026–2028 window will determine which of three futures the continent enters.
About This Book
The literature on AI and Africa has, until now, been
fragmented and polarized. Consultancy reports project vast economic
gains with little attention to the foundations needed to capture them;
critical scholarship documents the risks of digital extraction and
dependency but offers few actionable pathways. This book fills that gap —
and it arrives at a decisive moment. The African Union's Continental AI
Strategy, the Kigali Declaration, the emerging AU Continental AI
Investment Portfolio, and the AfCFTA Digital Trade Protocol have, for
the first time, given the continent a coordinated policy and financing
architecture, while the global rules are still being written.
The Africa AI Stack is the spine of the book. It reframes AI
readiness as a layered system in which each stratum depends on the ones
beneath it, turning an overwhelming, multidimensional challenge into a
set of tractable, sequenced investment decisions. Every sector analysis,
investment case, and governance recommendation is precisely located
within it, so readers can see how a weakness at any one layer constrains
what is possible at every layer above. Ten application sectors are
examined in turn — agriculture, health, education, finance, trade and
industry, climate and energy, the public sector, cities, peace and
security, and tourism and culture — followed by the technical core, the
vertical enablers, and the financing architecture.
Three features distinguish the book. It grounds every claim in
African evidence, systematically benchmarked against India, Brazil,
China, Southeast Asia, the Gulf, and the Caribbean: TB screening in
South Africa, retinal diagnostics in Kenya, agentic customs at Ghana's
Tema Port, flood early warning in Ethiopia, solar forecasting in
Morocco, property valuation in Kigali, and logistics in Nigeria — each
analysed for what it reveals about the underlying Stack, including where
deployments failed. It treats ethics, rights, and sovereignty not as
add-ons but as infrastructure. And it offers sustained, integrated
treatment of agentic AI — systems that plan and act autonomously — woven
through the sectoral and governance analyses rather than confined to a
single chapter.
The concluding argument condenses the next fifteen years into
three scenarios — Accelerated Transformation, Gradual Catch-Up, and
Stagnation and Divergence — distinguished not by resource endowments but
by the choices made during the 2026–2028 Foundation Phase. The
integrating vision for the first path is the African AI Commons: a
shared continental architecture organized around six pillars that no
single country can build alone. Its premise is that sovereignty at AI
scale is exercised through pooled action — continental coordination
increases the effective sovereignty of every Member State. The
Accelerated Transformation future is achievable with current technology
and identifiable financing; the constraint is political coordination,
not capability.