Did you miss Part 1 of this article series? Find it here and Part 2 here. This article is part 3 of this series on “Re-imagining Critical Thinking in Higher Education in the Age of Artificial Intelligence” . Follow me for details of all the parts.
While the debate surrounding artificial intelligence has largely been shaped by universities and technology companies in North America, Europe, and parts of Asia, its implications for Africa (Africa here is used as a persona to represent Africans) are arguably even more profound. The continent is in one of the most consequential periods in its history. It possesses the world’s youngest population, one of the fastest-growing digital economies, expanding internet connectivity, vibrant entrepreneurial ecosystems, and increasing investments in digital infrastructure. At the same time, Africa continues to confront complex development challenges requiring innovative, contextually relevant, and ethically grounded solutions. Artificial intelligence therefore provides an extraordinary opportunity and significant vulnerability.
The future of Africa will not be determined by whether the continent adopts artificial intelligence. Rather, it will depend on whether Africa develops the human capital capable of governing, adapting, innovating, and critically interrogating AI in ways that advance its own development priorities. The question is not whether Africa is using AI. The more important question is whether Africa will become a producer of AI-enabled knowledge and innovation or remain primarily a consumer of technologies designed elsewhere. This distinction should shape higher education policy across the continent. Africa has often experienced technological revolutions as an adopter rather than an architect. From industrial manufacturing and pharmaceutical production to advanced computing and digital platforms, much of the continent’s technological engagement has historically involved adapting innovations developed in other regions. Artificial intelligence presents an opportunity to rewrite this narrative. Unlike previous industrial revolutions that depended heavily on physical infrastructure and capital-intensive manufacturing, the AI revolution is driven substantially by knowledge, talent, creativity, entrepreneurship, research, data, and innovation ecosystems. These are precisely the assets that universities are uniquely positioned to develop.
Yet this opportunity can only be realised if higher education prioritises intellectual capability alongside technological competence. Producing graduates who know how to use AI applications is important, but it is insufficient. Africa requires graduates capable of designing AI systems responsive to African realities, interrogating algorithmic bias, addressing ethical challenges in multilingual and multicultural contexts, developing indigenous datasets, strengthening digital sovereignty, and applying AI to improve healthcare, agriculture, education, climate resilience, public administration, manufacturing, and governance. Such capabilities depend fundamentally on critical thinking rather than technological literacy alone. This imperative aligns closely with the aspirations articulated in the African Union’s Agenda 2063, the continent’s strategic framework for inclusive and sustainable development. Agenda 2063 envisions “The Africa We Want” as prosperous, integrated, peaceful, well-governed, and driven by its own citizens. Aspiration 1 calls for inclusive growth and sustainable development founded upon science, technology, innovation, and human capital. Aspiration 6 further emphasises that Africa’s development must be people-driven, particularly through investments in women and youth (African Union Commission, 2015). These aspirations recognise a fundamental truth: technology does not transform societies independently. People do.
Artificial intelligence should therefore be understood not as a technological issue but as a human development issue.
Every aspiration contained within Agenda 2063, from improving public health and strengthening democratic governance to accelerating industrialisation and enhancing educational quality, ultimately depends on citizens capable of analysing evidence, solving complex problems, collaborating across disciplines, exercising ethical leadership, and adapting continuously to changing circumstances. These capacities emerge from educational systems that cultivate inquiry rather than conformity, reasoning rather than memorisation, and innovation rather than imitation. Africa’s demographic profile makes this challenge especially urgent. According to the United Nations, the continent’s population is projected to double by 2050, with young people constituting the largest labour force in the world. This “youth dividend” has the potential to become Africa’s greatest comparative advantage, or its greatest missed opportunity. A youthful population alone does not generate economic transformation. It must be accompanied by high-quality education capable of producing adaptable, entrepreneurial, and critically minded graduates who can create employment rather than simply seek it.
Artificial intelligence has the potential to significantly accelerate this transformation. AI is already supporting smart agriculture for smallholder farmers, expanding access to healthcare through diagnostic tools, improving educational access in underserved communities, strengthen disaster preparedness, optimise transport systems, enhance financial inclusion, and improve public service delivery. Across Africa, innovators are already applying AI to local challenges, from disease surveillance and climate-smart agriculture to language technologies and financial technologies tailored to African markets. These developments demonstrate that Africa need not remain a passive recipient of global AI innovations.
However, there is also a risk that the continent becomes increasingly dependent on imported AI systems trained predominantly on data, languages, cultural assumptions, and governance frameworks originating outside Africa. Such dependence raises concerns regarding algorithmic bias, cultural representation, data governance, privacy, digital sovereignty, and economic inclusion. AI systems trained primarily on non-African datasets may fail to adequately represent African realities, resulting in technologies that reinforce rather than reduce existing inequalities. Universities therefore have a critical responsibility to cultivate graduates capable not only of deploying AI but also of questioning whose knowledge AI represents, whose values it embeds, whose interests it serves, and whose voices remain absent. This challenge extends beyond technology into governance itself. Across the continent, governments increasingly rely upon data-driven decision-making, digital public services, predictive analytics, and AI-supported policy tools. While these technologies promise greater efficiency, they also require public leaders capable of exercising independent judgment.
Algorithms may identify patterns, but they cannot determine justice. They may optimise resource allocation, but they cannot decide what constitutes fairness. They may generate predictions, but they cannot replace democratic accountability. The future of African governance therefore depends not on replacing human decision-makers with intelligent systems but on producing leaders capable of governing intelligently alongside them. Higher education occupies the centre of this transformation. Universities educate the engineers who will build digital infrastructure, the lawyers who will regulate AI, the teachers who will prepare future generations, the health professionals who will integrate AI into clinical practice, the entrepreneurs who will establish technology enterprises, and the policymakers who will shape national innovation ecosystems. If universities fail to protect critical thinking while embracing artificial intelligence, Africa risks producing technically proficient graduates who possess advanced digital skills but insufficient intellectual independence to lead complex societies.
Re-imagining critical thinking is therefore not a conservative attempt to preserve traditional education. It is a strategic investment in Africa’s long-term competitiveness within the global knowledge economy. Nations that combine technological capability with human intellectual excellence will lead the AI era. Those that prioritise technological adoption without equivalent investment in critical reasoning may remain dependent upon innovations produced elsewhere. The defining question for African universities is no longer whether artificial intelligence is used in higher education. It is whether higher education can produce graduates capable of ensuring that artificial intelligence serves Africa’s development rather than shaping Africa’s future according to priorities defined beyond the continent.
Kenya’s Artificial Intelligence Strategy and the Future of Higher Education
Among African countries, Kenya is one of the continent’s most ambitious proponents of digital transformation. Often referred to as the “Silicon Savannah,” Kenya has built an international reputation for technological innovation through pioneering developments such as mobile money, digital entrepreneurship, financial technology, and expanding innovation ecosystems. The launch of the KenyaNational Artificial Intelligence Strategy 2025–2030 signals the country’s intention to position itself as a regional leader in responsible AI adoption, research, innovation, and digital economic transformation (Ministry of Information, Communications and the Digital Economy [MICDE], 2025). The strategy represents a significant milestone in Kenya’s digital development agenda. It recognises artificial intelligence as an enabling technology capable of transforming sectors including agriculture, healthcare, manufacturing, education, public administration, climate resilience, and financial services. Importantly, it emphasises responsible AI governance, research and innovation, digital infrastructure, talent development, and public-private partnerships as essential pillars of national competitiveness. The strategy also aligns with Kenya’s broader Digital Superhighway initiative and Bottom-Up Economic Transformation Agenda, reflecting an understanding that future economic growth will increasingly depend upon knowledge-intensive industries and digital capabilities. Yet the success of this strategy ultimately depends upon higher education institutions more than others.
National AI strategies do not implement themselves. They require researchers capable of advancing scientific knowledge, graduates able to innovate responsibly, policymakers who understand both technology and ethics, educators who can prepare future generations, and entrepreneurs capable of translating research into societal impact. In other words, the effectiveness of Kenya’s AI strategy will depend not simply on digital infrastructure or technological investment but on the quality of higher education. This reality invites a broader policy conversation. Much attention has been devoted to ensuring that universities integrate artificial intelligence into teaching, research, and administration. Comparatively less attention has been given to whether universities are redesigning learning itself to ensure that graduates retain the cognitive capacities most needed in an AI-enabled economy. AI literacy is becoming increasingly important. However, AI literacy without critical thinking risks producing graduates who can operate intelligent technologies without fully understanding their limitations, assumptions, biases, or ethical implications.
Kenya’s Competency-Based Curriculum (CBC) offers an important point of reflection in this regard. The CBC seeks to shift education away from rote memorisation towards competencies such as critical thinking, communication, creativity, citizenship, collaboration, digital literacy, and problem-solving. These aspirations closely mirror the competencies identified globally as essential for the future workforce. However, unless universities intentionally build upon these foundations, there is a danger that students experience a discontinuity between competency-oriented school education and higher education assessment systems that continue to reward information reproduction rather than analytical reasoning. The emergence of generative AI makes this alignment even more important. If learners are encouraged to develop critical thinking throughout basic education only to encounter university assessment models that AI can complete with minimal human reasoning, the intended benefits of competency-based education may be significantly weakened. Universities therefore need not only adopt AI technologies but also reconsider how they evaluate learning outcomes in an era where information generation is increasingly automated.
The Commission for University Education (CUE) has an equally significant role to play. As Kenya’s quality assurance and regulatory body for university education, CUE has traditionally focused on programme accreditation, academic standards, institutional governance, and quality enhancement. Artificial intelligence introduces new dimensions that extend beyond these traditional functions. Future quality assurance frameworks should increasingly evaluate whether programmes deliberately cultivate higher-order cognitive competencies, ethical reasoning, interdisciplinary problem-solving, digital responsibility, and AI literacy alongside disciplinary knowledge. This does not necessarily require entirely new accreditation systems. Rather, it calls for an evolution in how educational quality is defined. In the AI era, excellent programmes will not simply demonstrate that students acquire knowledge; they will demonstrate that graduates can critically interrogate knowledge produced by both humans and machines.
Kenya’s expanding investment in research also presents significant opportunities. Through institutions such as the National Research Fund (NRF), the country has sought to strengthen research capacity, innovation, and knowledge production across universities. Artificial intelligence offers unprecedented opportunities to accelerate scientific discovery, analyse complex datasets, support interdisciplinary collaboration, and improve research productivity. However, these benefits must be accompanied by equally robust investments in research integrity, ethical AI governance, data stewardship, reproducibility, and critical methodological training. AI can accelerate research, but it cannot replace scientific judgment. Similarly, ongoing reforms within the Technical and Vocational Education and Training (TVET) sector recognise that future employment increasingly demands digital competencies alongside technical skills. Yet TVET institutions, like universities, must avoid equating digital competence with intellectual competence. Graduates entering advanced manufacturing, engineering, healthcare technologies, logistics, agriculture, and digital industries will require continuous problem-solving abilities because AI itself will continue evolving throughout their careers. The most valuable workforce will therefore be one capable of learning, adapting, questioning, and innovating rather than merely operating existing technologies.
Perhaps the greatest policy opportunity lies in positioning Kenya’s universities as continental leaders in responsible AI education. Rather than competing primarily through technological infrastructure, Kenyan universities could distinguish themselves by pioneering educational models that integrate AI with critical thinking, ethical leadership, interdisciplinary learning, African knowledge systems, and innovation for sustainable development. Such an approach would strengthen Kenya’s global competitiveness while contributing meaningfully to Africa’s broader knowledge economy. Importantly, this requires a shift in institutional mindset. Artificial intelligence should not be viewed as an additional subject to be incorporated into existing curricula. Instead, it should catalyse rethinking the broader purposes of university education. Every discipline, from medicine and engineering to law, education, business, agriculture, theology, and the humanities, must now ask the same fundamental question:
what uniquely human capabilities should graduates possess that artificial intelligence cannot replace?
The answer to that question should shape curriculum design, assessment, faculty development, research priorities, accreditation standards, and national higher education policy. Kenya has already demonstrated remarkable leadership in embracing digital innovation. The next phase of leadership will depend not on how rapidly universities adopt artificial intelligence, but on how effectively they protect and strengthen the human capacities that will determine whether artificial intelligence advances national development responsibly, ethically, and inclusively. In this respect, the country’s AI strategy should be understood not only as a technology policy but also as an opportunity to renew the fundamental mission of higher education itself.
Watch out for Part 4 of the article, which will explore how Universities Must Rethink Assessment as Artificial Intelligence Redefines Learning.
Author
Dr. Gilbert A. Ang’ana is the Dean of School of Leadership, Business, and Technology at Pan Africa Christian (PAC) University whose research focus is on values-based and collaborative leadership and governance in Africa. He is a leadership, governance and policy consultant, teacher and coach and the Founder of Accent Leadership Group and Accent Global Initiative (Think Tank)
