Nigerian technology entrepreneur Iyinoluwa Aboyeji is setting his sights on another major opportunity in the global technology industry, betting that Africa could become a leading supplier of artificial intelligence talent as demand for skilled AI engineers continues to surge.
After helping build some of Africa’s most successful technology companies, including Flutterwave and Andela, Aboyeji is launching a new venture called Talent Nation. Its ambitious mission is to train and connect African software developers with multinational companies seeking skilled professionals to build and improve artificial intelligence products.
The entrepreneur has set an extraordinary target: developing one million AI engineers over the next decade.
The initiative comes at a time when technology companies in Silicon Valley are investing enormous amounts of money in artificial intelligence, creating an increasingly competitive market for skilled engineers. While much of the global conversation focuses on expensive computer chips, data centres, and advanced AI models, Aboyeji believes the biggest opportunity for Africa may lie in supplying the human talent needed to make the technology useful.
His latest venture also carries similarities to Andela, the company he co-founded in 2014 to identify, train, and connect African software developers with international employers.
This time, however, the ambition is even bigger.
Iyinoluwa Aboyeji Bets on Africa’s Growing AI Talent Opportunity
Aboyeji is no stranger to building technology businesses with international ambitions.
He co-founded Andela, helped establish Flutterwave, and was among the early investors in Moove, three ventures that have contributed to the growth of Africa’s technology ecosystem.
Through Talent Nation, he hopes to apply his experience to one of the fastest-growing areas of the global economy: artificial intelligence.
Speaking to Semafor, Aboyeji explained that the company’s long-term objective is to develop one million AI engineers within 10 years.
The majority of developers participating in its training programmes are expected to come from Africa, although he indicated that the company would not necessarily limit recruitment to the continent.
The strategy is based on a simple observation: as businesses increasingly adopt AI, they will require more people who understand how to develop, improve, implement, and maintain these technologies.
Although AI systems are becoming increasingly sophisticated, human expertise remains essential to transforming advanced technology into practical products that businesses and consumers can use.
For Aboyeji, Africa has an opportunity to meet part of this growing demand by developing a new generation of internationally competitive engineers.
From Andela to Talent Nation: Another Ambitious Venture
Talent Nation builds on lessons from Aboyeji’s earlier experience with Andela.
Founded in 2014, Andela became one of Africa’s most recognised technology talent companies by identifying promising developers and preparing them for employment opportunities with international businesses.
The company attracted significant attention and investment, including backing from prominent figures such as Mark Zuckerberg, Serena Williams, and former US Vice President Al Gore.
Its programmes helped train a generation of software engineers across six African countries, creating opportunities for developers to work with companies beyond their local markets.
Aboyeji left Andela in 2016. The company subsequently expanded its recruitment approach in 2021, moving beyond its original focus on training African software developers.
With Talent Nation, Aboyeji is returning to a familiar business model but adapting it to the changing demands of the technology industry.
Rather than focusing primarily on conventional software development, the new company is positioning itself around artificial intelligence skills.
The opportunity could be substantial. AI companies are attracting unprecedented levels of investment, while major technology businesses are competing aggressively to recruit professionals capable of building and deploying advanced systems.
The growing attention surrounding Anthropic and its potential historic initial public offering also illustrates the scale of investor interest in the AI industry.
Aboyeji believes this expanding market could create opportunities far beyond those associated with his previous businesses.
Talent Nation Attracts Thousands of Applications for Its First Programme
Talent Nation has already attracted considerable interest from prospective participants.
According to Aboyeji, the startup secured initial funding from African investment firm Enza Capital and London-based venture capital firm LocalGlobe.
However, he did not disclose the amount raised.
The company’s first training initiative, known as Learn2Earn, has received an impressive 63,000 applications.
Competition for admission has been intense, with fewer than 3% of applicants selected for the programme. Those who secured places are currently undergoing training across multiple campuses.
One notable feature of the initiative is that participants are not required to pay tuition fees.
The model is designed to identify promising individuals, develop their technical abilities, and prepare them for opportunities in the international AI industry.
Talent Nation’s leadership believes that identifying talented people is only the beginning. Building the systems required to train large numbers of engineers to international standards is the more difficult challenge.
Company CEO and co-founder Kesiah Valkin emphasised the importance of developing the necessary infrastructure to make the programme sustainable.
She explained that while Africa has enormous untapped talent, transforming that potential into globally competitive expertise requires a carefully developed training system.
For Talent Nation, this means creating a scalable approach to identifying, educating, and preparing engineers for the demands of international employers.
Why Africa Could Become a Major Supplier of AI Engineers
Despite the growing excitement surrounding artificial intelligence, Africa remains a relatively small participant in the global AI workforce.
According to the Boston Consulting Group, the continent has approximately 62,000 AI specialists, representing just 5% of the global AI workforce.
That figure highlights both the scale of the challenge and the potential opportunity.
While the United States and other major technology markets are attracting enormous investments in AI infrastructure and research, Africa’s technology ecosystem is developing at a different pace.
In many leading African technology markets, discussions about artificial intelligence have frequently centred on regulation, responsible development, governance, and national AI strategies.
Countries such as Nigeria and Kenya have published policy documents outlining their approaches to the technology.
However, significant infrastructure investments are also beginning to emerge.
A company owned by Zimbabwean technology billionaire Strive Masiyiwa opened its first AI factory in Cape Town, South Africa, this year. The facility combines data centre infrastructure and specialised chips designed to process large language models.
The company also plans to establish another facility in Johannesburg.
These developments demonstrate that Africa’s participation in the AI revolution will require more than simply training software engineers. Reliable infrastructure, computing resources, investment capital, and companies capable of developing AI-powered services will also be essential.
Nevertheless, Talent Nation’s founders believe that human expertise represents one of the most immediate opportunities available to the continent.
Global AI Companies Are Facing an Expensive Talent Shortage
The rapid expansion of artificial intelligence has triggered intense competition among technology companies for experienced engineers.
In the United States, AI specialists are increasingly commanding compensation packages that are substantially higher than average salaries across other occupations.
Online learning platform Coursera has highlighted the growing salary gap, reflecting the strong demand for professionals with specialised AI expertise.
Some companies have reportedly offered multimillion-dollar compensation packages to attract highly sought-after researchers and engineers.
For Talent Nation CEO Kesiah Valkin, these salary trends indicate a fundamental imbalance between the number of qualified professionals available and the number businesses need.
She noted that unusually high compensation levels are often a sign that the supply of skilled workers is insufficient to meet demand.
This creates an opening for Talent Nation.
If the company can train capable engineers in Africa and connect them with international employers, it could help address a shortage that is becoming increasingly expensive for businesses.
It could also create new career opportunities for African developers who might otherwise struggle to access the global technology market.
The $5,000 Strategy Behind Aboyeji’s AI Engineer Ambition
Perhaps the most interesting part of Talent Nation’s business model is its approach to the cost of developing AI talent.
Aboyeji believes the company can produce world-class AI engineers for less than $5,000 per person over a two-year training period.
The proposed model does not rely on expensive paid instructors. Instead, it uses a peer-learning system in which participants develop their skills through collaborative learning and shared knowledge.
This approach is central to the company’s ambition to train one million engineers without requiring the enormous financial resources traditionally associated with large-scale technical education.
Aboyeji argues that the global AI industry does not need every engineer to earn $300,000 annually.
In his view, the future of artificial intelligence will depend partly on making the technology affordable and accessible to ordinary businesses, including small retailers and family-owned enterprises.
As he explained to Semafor:
“We don’t need $300,000 AI engineers. That’s not how this technology is going to find its way to mom and pop shops around the world.”
His argument is that developing a larger pool of capable engineers at a lower cost could help expand access to AI technology beyond wealthy corporations and major technology hubs.
However, some important aspects of the business model are still being worked out.
For instance, Aboyeji has not yet decided whether engineers trained through Talent Nation will become full-time employees of the company or work as independent freelancers.
The final arrangement could influence how the startup connects its graduates with multinational employers and generates revenue from the talent it develops.
Can Talent Nation Make Africa a Global AI Talent Hub?
Talent Nation is entering an industry where demand for skilled professionals is growing rapidly, but turning its ambitious target into reality will require more than attracting thousands of applications.
The company must demonstrate that its training model can consistently produce engineers capable of meeting international standards.
It will also need to establish strong relationships with multinational employers, create sustainable funding arrangements, and ensure that graduates can access meaningful work opportunities.
The infrastructure challenges facing Africa’s technology sector will remain another important consideration.
Nevertheless, Aboyeji’s latest venture reflects a growing belief that Africa’s contribution to the AI revolution does not have to depend entirely on building expensive data centres or competing directly with Silicon Valley’s largest technology companies.
Developing human talent could provide another route into the global AI economy.
With 63,000 applications already received for its inaugural Learn2Earn programme and an ambitious target of one million engineers within 10 years, Talent Nation is beginning with considerable interest.
Whether it can achieve that goal remains to be seen. But Aboyeji is making a clear bet: Africa’s next major technology opportunity could come not just from building artificial intelligence, but from supplying the people who make it work.
