Last week, I had the incredible privilege of delivering the opening keynote at the ESOMAR Africa Conference 2026 in Nairobi — a gathering of brilliant minds and bold voices from across the global insights industry. The room was electric. From research pioneers to brand leaders, policy influencers to technology innovators, the energy was palpable as we collectively explored a theme that feels more urgent — and more exciting — than ever: how Africa can lead, shape, and humanize the Global AI revolution.

My talk? A provocative and hopeful take titled “From Artificial Intelligence to African Intelligence: Transforming Research & Insights in Africa.” True to form, I didn’t hold back!

Setting the Stage: The Machines Are Here, But So Are We

I kicked things off with a bit of nostalgia — remember the terrifying cyborgs from The Terminator? That 1984 dystopian warning set the tone for how many imagined AI would look: cold, calculating, and disconnected. But as I reminded the audience — what we got instead was Clippy from Microsoft Word. Funny, yes. But also telling.

Today’s AI has evolved rapidly — and chaotically — from novelty to necessity. Platforms like ChatGPT, Google’s Gemini, and hundreds of others are shaping everything from our workflows to our worldviews. They’re trained on vast oceans of data, most of which have little to do with African realities. That’s precisely where our conversation pivoted — from Artificial to African Intelligence.

African Intelligence: A Bold Vision Rooted in Ubuntu

The central idea I presented is that it’s not enough for Africa to be a user of AI — we must be co-creators. I called this shift African Intelligence: AI shaped by our values, trained on our languages, and built for our context.

This is about leveraging our collective intelligence — the Ubuntu ethos of “I am because we are” — to imagine ethical, inclusive, and sustainable AI. It’s a vision that pushes back against brain drain, data exploitation, and digital colonialism. Instead, we anchor AI in the lived experiences, moral frameworks, and untapped potential of the African continent.

Infrastructure Matters: Data Centers, Sovereignty & Sustainability

Another core theme? Infrastructure.

Africa currently holds less than 1% of global data center capacity, despite explosive growth in data generation and digital consumption. This isn’t just a data point— its a massive and urgent wake-up call! The continent needs over 1,000 new data centers by 2030 to meet demand and secure digital sovereignty. We have our work cut out whichever way we look at it. 

But it’s not all gloom. Countries like Kenya, Morocco, and South Africa are attracting major investments. In the middle of it it all, Africa has a secret weapon: renewable energy. Kenya already generates 90% of its electricity from geothermal, hydro, and wind. That means Africa is perfectly poised to lead the world in green AI infrastructure

I shared examples of solar-powered data centers in Ghana and wind-powered ones in South Africa. These aren’t future ideas — they’re happening now.

Confronting Data Colonialism & Building ‘Local’ Language Models

We also explored the darker side of AI: data colonialism — when African data is extracted, monetized, and owned abroad with little benefit to the continent. I emphasized how national policies must protect our data as a strategic asset and ensure we get fair value when it’s used.

Then, there’s the language gap. There are over 2,000 languages, meaning Africa is a linguistic melting pot— yet global LLMs barely scratch the surface. Fortunately, local solutions are emerging. Nigerian-backed LLMs, startups like SpitchAI, and translation efforts by Masakhane are paving the way for AI in African languages, designed by African developers, for African users.

The Agentic Shift: From Chatbots to Autonomous Action

One of the more mind-bending sections of my talk touched on the agentic future of AI. We’re moving beyond generative tools into intelligent agents — systems that don’t just respond to prompts, but act autonomously. In research and insights, that means shifting from simply surveying people to actually sensing real-time market behavior.

Imagine AI agents planning campaigns, drafting strategy documents, scheduling meetings — all autonomously. That’s not science fiction. That’s our next frontier.

Looking Ahead: Scaling African Intelligence

In the final stretch, I painted a picture of what the future could look like — and frankly, must look like:

• AI services in multiple African languages used by farmers, traders, teachers.
• African startups exporting ethical, efficient AI to global markets.
• Policies rooted in African ethics shaping global AI governance.
• A thriving ecosystem of green data centers, homegrown talent, and inclusive design.

This is African Intelligence at scale — and it’s not a dream. It’s a roadmap. The work has already begun

A Final Word On African Intelligence

If there’s one thing I walked away with from ESOMAR Africa 2026, it’s this: Africa is no longer in the passenger seat of the data and insights industry — we’re co-pilots, co-creators, and co-owners of the future.

As brands, researchers, policymakers, and technologists, we must actively champion African-grown AI — not just as a moral imperative, but as a strategic advantage.

Let’s stop waiting to be included. Let’s lead.

Let’s turn Artificial Intelligence into African Intelligence — and make the world more human in the process.

You can download or look at the keynote presentation here