I Went to Kenya to See If “Digital Inclusion” Was Real

Everyone in tech says they want to close the digital divide.

Access. Infrastructure. Connectivity. Inclusion.

Clean words. Great slides. Lots of applause.

So I went to Kenya to check.

Not the pitch. The reality. Not what gets funded. What actually works.

I spent a week on the ground, moving between Kakamega County in the west and Wajir in the northeast. Two locations. Two completely different realities. One question: do these digital tools actually create economic opportunity, or do they just look good in a funding report?

And I came back with one conclusion: most people in this space don’t want to hear.

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Connectivity Alone Is No Longer the Bottleneck

Of course, the digital divide is an infrastructure problem. Without networks, devices, electricity, and connectivity, nothing starts. No access means no possibility. That part of the argument is correct, and it matters.

But here’s where most conversations stop too early.

Connectivity alone is no longer the core bottleneck. We keep solving for access. Access is only the entry ticket.

The real bottleneck is what happens after someone gets online. What can they do with it? What does it connect them to economically? Who benefits from their participation and who captures the value?

If a person has internet access but no income pathway, no market, no economic entry point, then we haven’t included them in anything meaningful. We’ve given them a window into a world they still can’t participate in.

We’ve just connected them to a feed.

The digital divide only closes when access becomes available. When people can find work online, sell products digitally, buy services securely, and participate in the digital economy beyond their immediate geography. Everything short of that is infrastructure waiting for a purpose.

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Kakamega: What Inclusion Actually Looks Like

In Kakamega County, I visited a rural digital hub embedded in a vocational college. It sits in a region where, until recently, most students had no reliable internet access and no clear pathway into the digital economy.

No inspirational murals. No ribbon-cutting energy. No one handed me a brochure.

Just people learning how to enter the economy directly.

Students weren’t “learning computers.” They were learning Python. WordPress. Analytics. Data management. Skills with direct market value, skills that connect to real remote work platforms, real clients, and real income streams that were completely out of reach a year ago.

Then I spoke to a young woman who distributes fertilizer to farmers in the surrounding area.

She wasn’t in the lab to write code. She was there because her business depends on the tools she learned to use here. She described her stack without being asked:

“I also have some application that I’m using to distribute the fertilizer, that is the Mesa Software. We have some tools that I use with the farmers to collect information. It is KoboCollect. I can download it on the Google Play store, and I can use it easily.”

Let that land for a second.

She is running inventory management, agricultural data collection, and instant payment settlement, from a phone, for a distribution business serving rural farmers. Six months ago, none of that infrastructure existed for her. Today it is how she operates.

This is what the trainer meant when he said:

“AI is leverage. Not hype. Not replacement. Leverage.”

Digital tools compress time. They shrink the distance between skill and income, between effort and market access. When a young woman distributing fertilizer in rural Kenya can run real-time price discovery, collect structured field data, and settle transactions instantly, the economic velocity of the entire village changes. Not eventually. Now.

She isn’t talking about digital literacy in the abstract. She’s talking about inventory management. Price discovery. Instant settlement. She removed the distance between herself and her market, and in doing so, she changed what her business is capable of.

The numbers at the institutional level confirm the same story. Student enrollment at Kakamega County Polytechnic grew from 465 to 743, a 60% increase. At St. Paul’s Shianda Polytechnic, enrollment rose from 400 to 540 in a single year, verified by an independent assessment conducted by Strathmore University and the Communications Authority of Kenya. The growth is attributed directly to increased interest in ICT and the ability to use digital tools across all fields of study.

Community usage has expanded well beyond the student body. Local civil servants use the labs for administrative work. Sub-county staff hold meetings using the Wi-Fi. Primary school students from nearby areas access digital literacy programs. The hub has become infrastructure for an entire county, not just a facility for enrolled students.

This is what utilization looks like. Not awareness. Utilization.

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This Didn’t Happen by Accident

What worked in Kakamega wasn’t luck, and it wasn’t a single intervention. Someone built the full chain, research first, then infrastructure, then skills, then real use cases tied to real economic outcomes.

It started with the ITU’s Connect2Recover initiative, a global research competition that Kenya won with a proposal to rebuild digital inclusion in rural counties post-COVID. The research mapped exactly where the gaps were and what interventions would have the most leverage. Those findings were then implemented under the Partner2Connect pledging framework, with local and national stakeholders including the ICT Authority, Konza Technopolis, Strathmore University, and the Kakamega County Government.

The approach was deliberate: rather than building parallel systems that communities would have to learn to trust, the project reinforced institutions people already relied on. Vocational schools. Hospitals. Community hubs. Connectivity, smart screens, and capacity building were delivered to two TVETs and two hospitals, including telemedicine infrastructure that now enables remote consultations without patients traveling hundreds of kilometers.

The distinction between building something new and reinforcing something trusted turns out to be everything.

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Wajir: Where Every Easy Model Fails

Then I went to Wajir.

Hundreds of kilometers from major hubs. Sparse infrastructure. Extreme heat. Very limited fixed connectivity. A region where the standard playbook, build a hub, connect it, train people, simply cannot execute because the foundational layer doesn’t exist yet.

This is the frontier. This is where models designed for connected environments go to die.

Here, the gap isn’t metaphorical. It’s physical. Without deliberate and unconventional intervention, there is almost nothing.

Enter the DigiTruck, a mobile classroom with built-in connectivity and devices that travels to communities rather than waiting for communities to travel to it. It doesn’t rely on fixed infrastructure that hasn’t arrived. It doesn’t require a building, a power grid, or a stable internet backbone. It shows up.

Not clever. Pragmatic. And in Wajir, pragmatic is the only thing that works.

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What Shocked Me Wasn’t the Technology

It was the speed.

I expected the technology to be the story. But the engineering isn’t the point. The point is what happens to people inside the truck.

In February 2026, I watched a cohort of 200 young people in Wajir graduate from this mobile unit. Six weeks prior, none of them had touched a terminal. One graduate said it plainly:

“Starting from me, I have never used a computer. But from the first day, I started knowing how to open it, up to now I know how to protect my data, my rights.”

Six weeks. Zero to data rights literacy. In one of the most underserved regions in East Africa.

It is not just about bringing the experts to the learner; it is what the trainer leaves behind: ~200 youth who champion digital skills and share these with their communities, training thousands more. It is also the ability for the ~200 youth to continue learning on their own; now they know how to use the technology, and where to look for more resources. This is a lasting impact.

But here’s what almost nobody in digital inclusion conversations talks about seriously:

Access without protection is a trap.

Scams. Data exploitation. Fraud. Phishing. Manipulation by bad actors who specifically target newly connected populations because they know these users have no defensive instincts yet. An unprotected person with internet access isn’t empowered. They’re exposed.

In Wajir, digital literacy starts with protection. Fraud awareness. Privacy. Basic digital rights. Not as an afterthought or a compliance checkbox, as step one, before anything else.

That’s the difference between a program that genuinely empowers people and one that simply delivers a new population of targets to predators with better tools than they have.

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The Conclusion Nobody Wants to Fund

After Kakamega. After Wajir. After a week of watching what works and understanding why, one conclusion is unavoidable.

Technology is the plumbing. Economic participation is the water.

Pipes without flow do not yet reach their full potential. They look like progress from a distance. They show up well in annual reports. But they don’t change what happens in someone’s life. Flow without pipes doesn’t scale past one generation, it remains local, fragile, and dependent on individual effort rather than systemic infrastructure.

What works is never a single program. It’s a system, and every layer is load-bearing:

Infrastructure: The “Triple Helix” of global tech, international frameworks (ITU’s Partner2Connect), and national fiber backbones, working together, not in parallel silos.

Skills: Moving beyond basic literacy to high-value leverage skills, AI, analytics, WordPress, Python, the tools that connect effort to income at market rates.

Applications: The software layer, marketplaces, FinTech, M-Pesa integrations, that translates skill into real income and connects local capacity to global demand.

Protection: Embedded security and digital rights training that prevents access from becoming a liability, built in from day one, not added after the damage is done.

Remove any one layer and the whole thing collapses. Infrastructure without skills produces expensive labs that gather dust. Skills without applications produce graduates with nowhere to go. Applications without protection produce victims. The system only works when it’s complete.

That’s why Kakamega scales. And why Wajir holds. Different environments, different constraints, same discipline.

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The Digital Divide Won’t Be Closed by Announcements

It won’t be closed by devices. It won’t be closed by networks. It won’t be closed by connectivity announcements at Davos or pledges made in hotel conference rooms by people who have never been to Wajir.

It will close when access becomes applicable, when people can earn, trade, learn, and compete beyond their immediate geography. When a young woman distributing fertilizer in rural Kenya can run her entire operation from a phone. When a graduate in Wajir can walk out of a six-week mobile program and enter the workforce with real, verifiable digital skills.

That’s the standard. Not connectivity rates. Not device distribution numbers. Economic participation. Measurable. Auditable. Real.

Everything else is just infrastructure waiting for a purpose.

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So here’s the real question for everyone working in this space:

The real question is not whether we build pipes or focus on flow. It is whether we build them together. Infrastructure without applications stalls. Applications without infrastructure collapse. The pipe and the water are interdependent. When they are aligned, economic participation scales. When they are disconnected, progress fragments.

Pipes are essential. Their full value emerges when partners ensure something meaningful flows through them.

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Disclosure: This trip to Kenya was facilitated by Huawei as part of their digital inclusion initiative. This content was subject to factual review by Huawei prior to publication. Editorial conclusions are my own.