Aspiring for the boring tech of tomorrow

The annual flood of tech trend predictions has hit my inbox in the same week I’ve been asked to write on our trend forecasts for 2026. It may be the rainy weather or the geopolitics on the news but the breathless accounts of technical possibility has left me feeling a little disillusioned.

Keeping me grounded are people like my professor, Jonnie Penn, and CFI Director Rachel Adams, who argue that fixating solely on what technology can do misses the point.

We have the social agency to shape technologies as much as they shape us.

The question isn't just what's possible, but what world we want and what combination of social and technical shifts can get us there.

So let us imagine together what that world might look like.

A Tuesday in 2030. It's sunny, of course.

Amara lives in Accra and runs a small agritech startup helping farmers optimise water usage. This morning, she used her digital ID to instantly verify her business credentials with a new supplier - no paperwork, no waiting weeks for government offices to process documents. The supplier queried Ghana's business registry, confirmed her company's legal status and tax compliance, and the deal moved forward. The transaction was complete before her coffee got cold.

When her co-founder in Dakar woke up with a terrible cough, he didn't rush to a hospital only to wait hours in the wrong facility. He triaged his symptoms online. The system assessed them, checked his medical history (with his consent), and determined he didn't need a doctor's appointment - just pharmacy-grade cold and flu medication. It routed him to the nearest pharmacy with the medication in stock, his insurance approved the claim automatically within the interoperable system. The health system's capacity was preserved for those who needed it and he got the care he actually needed.

That afternoon, Amara and her team pitched to a pan-African VC fund. Their financial projections used credit models trained on regional datasets that actually understand how informal economies work - models that know a farmer trading on trust networks and mobile money is no riskier than one with a traditional bank account, just operating in a different system.

This isn't a pilot project documenting "innovation in emerging markets." It's not a donor-funded showcase waiting to collapse when the grants run out. It's infrastructure. It's boring in the best possible way. It's an average Tuesday.

What are the trends that get us there?

Societies must reclaim agency over technology. This means governments moving beyond uninhibited use to clear regulation, actively building local capacity and fostering competition. Digital platforms should be treated as critical public infrastructure - requiring oversight and enabling national interest.
Scarcity breeds innovation. We must see infrastructure gaps not as a permanent disadvantage, but as a strategic catalyst. By necessity, they drive the adoption of smarter, distributed models like edge computing that are often more contextual and use case specific.
Government as infrastructure, not gatekeeper. Government should function less like a front desk and more like the electricity grid - an always-on, reliable utility you don't think about. This requires building robust digital public infrastructure (DPI) so that proving your identity, accessing healthcare, or starting a business happens through seamless digital channels, not long queues or endless hyperlinks. The focus shifts from managing paperwork to enabling secure, automated transactions.
Data as an asset. We stop exporting raw data to be sold back as premium services. We start building value at home. Africa's AI potential hinges on developing its own purpose-built models at national or regional levels. This requires moving from continental policy agreements to concrete investment in regional compute infrastructure, ventures and talent.

This future isn't inevitable.The choices governments and funders make in 2026 about data governance, infrastructure investment, and technical capacity will determine whether we get Amara's Tuesday or another decade of pilots that never scale.

Genesis is working with clients to navigate these choices: from DPI implementation strategies and AI applied to system-level change, to regulatory frameworks that actually enable local innovation.

If you're asking similar questions about how to get from here to there, let's talk. Email: Ceris@genesis-analytics.com