There’s a number that gets repeated so often in development circles it has stopped sounding alarming: 90% of Africa’s youth leave school without basic digital skills. Ask most experts what to do about it, and you’ll get the same answer: more coding bootcamps, more digital literacy drives, and more curriculum reform.
Maggie Gu isn’t most experts.
The founder and president of the Tomorrow Foundation, the organisation behind initiatives like 100 Million Learners, Her Startup, and AI for All, thinks the entire premise of that conversation is outdated. Skills, she argues, are the wrong unit of analysis entirely.
“Skills depreciate rapidly,” she says. “Agency compounds.”
It’s a small sentence carrying a large argument, and it reframes nearly every assumption baked into how governments, donors, and tech companies talk about preparing young Africans for the AI economy.
The real bottleneck isn’t bureaucracy; it’s speed
In a wide-ranging interview spanning education policy, entrepreneurship, and gender equity with Technext, Gu pushes back against the convenient framing of slow-moving education ministries as villains in the story. Policymakers, in her experience, aren’t the obstacle.
They’re working with institutions never built for the velocity of the problem in front of them.
“Education policy moves in cycles of years. AI development moves in cycles of months,” she says. By the time a curriculum reform clears debate, approval, and funding, the technology it was designed around has already moved on. That’s not incompetence. It’s a structural mismatch between two systems running on incompatible clocks.
Her proposed fix sidesteps the rebuild entirely: stop treating knowledge as something every ministry must reinvent, and start treating it as shared global infrastructure that can flow directly into communities, which is precisely the logic behind 100 Million Learners, a free multilingual platform built with Thunderbird School of Global Management and Arizona State University.
But infrastructure, in Gu’s framing, was never really the endpoint. It’s the connective tissue. “The knowledge deficit is not the binding constraint,” she says. “The connection deficit is.”
The African youth’s future: from consuming AI to governing it
Gu’s sharpest reframe arrives when the conversation turns to the digital divide, a term she considers almost obsolete at this point.
“The risk we are most concerned about is not the digital divide as traditionally understood,” she explains. “It is a participation divide,” a world split between countries actively shaping AI’s rules and infrastructure and countries that remain permanent consumers of systems built elsewhere for purposes that don’t necessarily serve them.
This is where her argument gets genuinely provocative.
AI for All, her continental initiative, isn’t oriented around literacy but sovereignty, the capacity not just to use AI tools but also to build, govern, and direct them.
“A country that trains its young people to use AI tools developed and governed elsewhere will always be downstream of the decisions made about those tools,” she says. “A country that builds the capacity to create, adapt, and govern AI becomes an active participant in the global technology order rather than a recipient of it.”
It’s a civilisational argument dressed in policy language: who trains the models, who owns the data, and who decides how algorithms treat African markets and communities? Gu insists these aren’t engineering questions to be quietly resolved by technologists. They’re political choices, and she wants African governments to treat them as such.
Perhaps the most immediately useful and quietly radical idea from the conversation is around how we perceive certificates and credentials. The four-year degree, she argues, was built on a flawed premise: that learning is a terminal event, a finish line after which someone is certified ready.
“That model is already obsolete,” she says. “In the AI era, learning is not a phase before work. It is a continuous condition of work.”
Her proposed alternative is what she calls ‘living talent recognition systems’, frameworks that track demonstrated capability over time, across real projects, rather than time spent in a classroom. It’s a governance decision, not a technical one, and she’s candid about what it requires: political will exercised before crisis forces the issue.
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Rewriting the failure story of African entrepreneurship
Then there’s the entrepreneurship paradox, the much-cited statistic that while roughly three-quarters of young Africans aspire to start businesses, up to 90% of those ventures collapse within five years. Gu refuses to read this as a story about deficient founders.
“In many cases, businesses do not fail because young entrepreneurs lack talent or determination,” she says. “They failed because they had very few alternatives to begin with.” When formal labour markets can’t absorb people and entrepreneurship becomes the only door left open, failure gets built into the system before anyone even starts.
Her prescription inverts the usual order of operations: capability before capital. Mentorship, market access, and ecosystem support first; funding second, as a catalyst rather than a rescue attempt.
She extends the same scrutiny to the gender gap among tech founders. The barriers facing women, she argues, aren’t about ability; they’re structural. Professional networks “are not formally closed to women”, she says, but they’re “structurally designed around patterns of relationship and trust-building that do not reflect how women typically build social and professional capital.”
“Add caregiving obligations that programmes rarely design around, and the obstacle course becomes clear without a single door being deliberately shut.”
What ties Gu’s points together is a refusal to treat Africa’s youth crisis as uniquely African. With 12 million young people entering the workforce annually against just 3 million formal jobs and a youth population projected to hit 830 million by 2050, the scale is undeniably continental, but the underlying shift, she insists, is global.
Ultimately, “This is about ensuring that people become authors of their own future, rather than footnotes in a future written by others,” she concludes.
Her closing argument is less a policy than a worldview shift: stop measuring progress with industrial-era metrics, GDP growth, graduation rates, and job-placement numbers built for a world that no longer exists, and start building institutions designed for continuous adaptation instead of fixed career paths.
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