In a move that could quietly redefine how artificial intelligence reaches emerging markets, M-PESA Ethiopia has partnered with Gebeya Inc. to launch the Dala AI Bundle — a subscription service that allows Ethiopians to access advanced AI creation tools and pay for them directly via mobile money.
Announced in Addis Ababa on February 25, 2026, the launch marks the first time AI creation tools in Ethiopia can be purchased without a credit or debit card. Instead, users can subscribe through their M-PESA wallets — the same platform they already use for everyday transactions.
The bigger shift? AI is no longer gated behind international payment rails.
The Distribution Play: Why This Matters
In many African markets, the barrier to AI adoption isn’t awareness — it’s payments.
Card penetration remains limited in Ethiopia. Mobile money penetration, however, continues to expand rapidly. By embedding AI subscriptions into a widely trusted payment platform, the companies are betting that:
- Access drives adoption
- Payments drive inclusion
- Distribution defines scale
Instead of building AI for elite users with global payment access, this model brings tools directly into the financial ecosystem Ethiopians already trust.
What the Dala AI Bundle Actually Offers
The bundle enables subscription access to Dala Studio, Gebeya’s AI creation platform.
Users can:
- Build apps
- Create AI agents
- Develop games
- Generate comics
- Produce AI-powered content in Amharic, Oromo and other local languages
In practical terms, all that’s required is:
- A mobile phone
- An active M-PESA wallet
No credit card. No foreign currency hurdles.
A Shift in Ownership
Amadou Daffe, CEO of Gebeya Inc., framed the launch as a structural shift.
“We’re not just adding another product; we’re handing the keys of building and creation to every Ethiopian with a mobile phone,” he said. “A student in Addis, a merchant in Bahir Dar, and a storyteller in Hawassa can all now create digital assets in their own language, making their payments through M-PESA, the app they already use every day.”
That framing is important. This is not AI as imported software — it is AI localised linguistically and financially.
M-PESA’s Strategic Expansion
For M-PESA Ethiopia, the move signals evolution.
“M-PESA is evolving beyond payments into a gateway for digital services,” said Elsa Muzzolini, CEO of M-PESA Ethiopia. “By partnering with Gebeya, we are enabling millions of Ethiopians to access AI tools through a payment platform they already trust.”
Since receiving its Payment Instrument Issuer Licence from the National Bank of Ethiopia in May 2023 and beginning operations in August of that year, M-PESA Ethiopia has focused on expanding digital financial access. The Dala AI Bundle suggests the next phase: monetising digital services on top of payments infrastructure.
From Talent Training to Consumer Access
Gebeya previously engaged Ethiopian developers through the Safaricom Talent Cloud initiative, training thousands of technologists.
The new bundle moves beyond training into:
- Direct creator access
- Consumer subscriptions
- Small business experimentation
- AI deployment at grassroots level
This marks a transition from pipeline building to product access.
The Creator Economy Angle
If adoption gains traction, the implications extend beyond individual subscriptions.
Entrepreneurs can automate workflows with AI agents.
Content creators can produce multimedia in local languages.
Small businesses can prototype applications without heavy upfront costs.
By lowering both financial and technical barriers, the partnership could catalyse Ethiopia’s emerging creator and developer economy.
The Infrastructure Logic
This move sits at the intersection of three trends:
- Mobile money as infrastructure
- AI as productivity engine
- Local language digital expansion
Rather than importing global AI tools designed primarily for Western markets, the Dala AI Bundle emphasises contextualisation — tools built for Ethiopian users, in Ethiopian languages, accessed through Ethiopian payment rails.
The Blueprint Question
If successful, the model could become replicable across African markets where mobile money penetration far exceeds card usage.
Instead of asking how to expand AI access, the playbook becomes:
Integrate AI into the financial rails people already use.
For Ethiopia, the experiment begins now.
