All of my long-form thoughts on innovation, tech trends, global challenges, and more, collected in chronological order.
I handed an AI agent the run of my production backend, and it earned its keep by the first coffee. Then it offered to reset a secret, and I understood the only thing protecting everything was its good behaviour. The fix was not more caution. It was making the dangerous key simply not be there.
Every frontier model release washes away another batch of startups, and none of it is a surprise. What exactly can these companies not kill? A buoyancy test for anything built on code, and the line worth redrawing every quarter.
Why successful businesses in African cities build on trust and proximity, not visibility. How to localize commerce infrastructure by understanding the invisible architecture that markets actually run on.
Nigeria climbed 31 places on one AI readiness index and became the highest-ranked country in Africa on another. Both numbers are genuinely good news. This piece is about what the numbers are actually measuring, and what happens when a country gets very good at climbing a ranking without the thing the ranking was supposed to represent following it up.
The ten-slide pitch was built for an era of exploration, when finding the territory was hard and explaining it was easy. That era is over. The durable opportunities now live in infrastructure, distribution, and moats that don't summarize on ten slides — and the filter that built venture capital has quietly started selecting for the wrong companies.
The IMF's first serious economic model of AI in Sub-Saharan Africa produces two numbers a decade apart: 0.2% productivity growth under current conditions, or 2.1% under high adoption. Same technology, same region, same decade. What separates the paths is exposure and adoption — and both are set by us, not by the technology.
A year ago I argued Nigeria's future depended on cultivating high-agency individuals. Two examples from a single day in the informal economy showed me what I missed: agency doesn't come pre-loaded with direction. It goes wherever the system rewards it — and right now the system rewards extraction.
Nigeria's digital postcode system is the rare government initiative that correctly identifies the real problem and routes around it. Here is why a genuinely good idea, attempted for the third time in seventeen years, may still fail — for reasons that have very little to do with the quality of the idea.
The US has reframed Africa policy as partnership, but the operational logic is familiar: resource access, local administrative cover, and minimal concern for who absorbs the cost.
Kled AI banned Nigeria for fraud. Moniepoint cannot fill 500 roles. The same broken incentive structure running in opposite directions, silently compounding.
Five words. Almost no one runs them. This is what happens to a culture and society when they don't, and why campaigns won't fix it.
Nigeria announced N-ATLAS at the UN General Assembly as Africa's first government-backed AI model. Here is what was actually built, who it actually serves, and what it cost to announce instead of solve.
A nineteen-year-old drops out of Berkeley, moves to Lagos with $7.3 million and a super app thesis. I'm eager to see whether capital and commitment can do what the wall has stopped everyone else from doing.
The gap between what is known and what is applied kills people in every society. Here is what happens when you run that gap through an environment specifically designed to extract from everything that passes through it.
Every country has an operating environment with its own friction and its own relationship between effort and outcome. Here is what Nigeria's looks like, and what it costs to build anything inside it.
Nigeria's National AI Strategy is an impressive document about intentions. But understanding a landscape and building something that changes it are different activities.
Adelabu's viral remark was sincere enough to reveal exactly why Nigeria's governance system works well enough to keep 86.8 million people in the dark.
The narratives being constructed around African deep-tech investment reveal a persistent gap between how that story is being told and what the ground reality actually looks like.
A structural analysis of how heat, electricity deprivation, noise, crowding, and poor nutrition create an interlocking cognitive tax on Nigeria's population — and why that loop is so hard to break.
Nigeria's system isn't broken. It's doing exactly what it's been allowed to do. The real problem is that your expectations don't match what the system is actually built to produce.
The tech sector predicts AI will kill SaaS, but they're confusing the commoditisation of code with the commoditisation of everything code sits on top of. Those are very different things.
Expanding on insights from my conversation with SouqNews Television and Just Africa about AI-native commerce, local platforms, and what the next five years might look like for Africa's digital economy.
Overconfidence is part of the Dunning-Kruger effect, but the real trap is assuming that because feedback bothers you, it must not be worth listening to
Indigenous languages are rich for culture but may lack the technical scaffolding for innovation. Trying to innovate without the right linguistic tools is like wearing night-vision goggles in daylight.
A reflection on my previous stance about intuitive design. Building products for diverse users has shown me that accessibility isn’t about dumbing things down—it’s about leveling the playing field.
Curiosity is the first spark of high agency. It’s the instinct that transforms “I wonder why” into “Let me see for myself.”
A reflection on our paradox of modernity, the challenges of mimicry, and the hope for a youth-led transformation.
A sober look at how our institutions, policies, and collective behaviors are sustaining a system of stagnation — all while appearing to be on the move.
As AI democratizes knowledge, your prompt history could become a new measure of intelligence, revealing how you think and problem-solve in ways traditional credentials can’t.
Nigeria’s development struggles stem from a hidden crisis of cognitive capacity, shaped by environmental toxins, malnutrition, trauma, and inadequate education, perpetuating cycles of dysfunction.
AI’s rapid growth in Nigeria risks repeating historical exploitation, as local data is exported and foreign models dominate, threatening digital sovereignty and development.
Breakthrough ideas often face rejection and ridicule before revolutionizing fields, from genetics to tech, revealing a pattern of skepticism that delays progress until visionaries persist.
Despite slow adoption and limited understanding, AI’s transformative potential is vast, from solving biological challenges to creating new materials, signaling we’re still early in its revolutionary impact.
Societal progress in Nigeria and beyond hinges on cultivating high-agency individuals who act independently, embrace challenges, and drive systemic change through relentless learning and action.
Frictionless software design makes apps easy to use but may rob users of the struggle that builds intuition and competence, risking a less capable society.
Staying calm under pressure can look like resilience, but sometimes it is dissociation in disguise.
Africa stands at a crossroads with AI and digital innovation, but clinging to outdated systems risks repeating historical missed opportunities. By leveraging its gaps, Africa can build tailored, transformative technologies.
When impostor syndrome shows up, retreating feels safe, but growth happens when you keep showing up anyway.