Africa’s mobile operators are deploying AI across a growing range of internal functions — including predictive maintenance, network optimization and AI-driven customer service — according to the Mobile Economy Africa 2026 report published this week by the GSMA.
The report cited an Airtel initiative launched in Uganda in April 2025, which the telco described as Africa’s first AI-powered spam alert service, using machine-learning models to detect and flag fraudulent SMS traffic in real time. “This reflects both the commercial pressure of digital fraud and the operational maturity required to respond to it,” the GSMA said.
Beyond network operations, telcos are investing in infrastructure that makes AI deployment more viable at scale. In April 2026, MTN participated in a $45 million funding round for ORAN Development Company, a U.S.-based startup building AI-native radio access network solutions specifically designed for Africa’s multi-vendor, power-constrained network environments. “The investment signals a shift in how leading operators are approaching AI infrastructure — not simply as consumers of hyperscaler capacity, but as active investors in the foundational technology layer that will define network performance and economics over the next decade,” the GSMA said.
According to the report, AI has rapidly moved from strategic ambition to operational reality across Africa’s mobile ecosystem. “Following years of policy development and investment planning, there has been a marked acceleration in practical AI deployment in 2026 by operators, across enterprise verticals and within the broader digital ecosystem,” the industry body said. “The challenge is no longer whether to adopt AI, but how to deploy it in ways that are contextually relevant, economically sustainable and inclusive.”
A critical constraint on AI’s reach in Africa, the GSMA said, is the underrepresentation of African languages in mainstream AI systems. “Africa is home to over 30% of the world’s languages, yet current large language models are trained predominantly on English and other high-resource languages, limiting their utility for the majority of the continent’s population,” it said. More than 2,000 languages are spoken across Africa, but the majority remain absent from global AI systems. “The commercial implications are significant: African language AI enables voice-based interfaces that can extend digital services to users who are not literate in English or French, expand the addressable market for AI-powered products and ensure that the benefits of AI are not concentrated among a linguistically privileged segment of the population,” the GSMA added.
Some progress is being made to close that gap. At MWC Kigali in October 2025, the GSMA and the “G6 group” of African mobile operators — Airtel, MTN, Orange, Vodacom, Axian Telecom and Ethio Telecom — announced a continent-wide collaboration to develop inclusive African AI language models. The initiative brings operators together with researchers, startups and civil society to address four structural barriers to African-led AI development: data, compute, talent and policy. “This is designed to ensure that the AI systems deployed across Africa’s mobile ecosystem reflect the linguistic and cultural reality of the people they serve,” the GSMA said. At MWC Barcelona in March 2026, the group demonstrated the first open Swahili reasoning model, developed in collaboration with MeetKai Zambia — capable of browsing and translating online content in Swahili and establishing a replicable template for other African language models.
Other industry players are also contributing. In July 2025, Google announced a $37 million investment in AI projects and skills development across Africa, part of which was a $3 million grant to Masakhane, an open research collective advancing AI tools in more than 40 African languages. The Gates Foundation also awarded a $5 million grant to Masakhane to develop African language models.
“Without oversight, there is a risk that the unequal adoption of AI in Africa could lead to a greater divide between those with the skills and tools to thrive in a digital society, and those without,” GSMA Head of Africa Angela Wamola told Connecting Africa in an interview earlier this year. She flagged device affordability as another key factor — not only for general internet access but also for AI advancement. “Mobile devices are the prevailing way people access the Internet in Africa, so without access to handsets, the AI gap will grow and could harden into a permanent divide,” Wamola warned.
The report also highlighted several key growth areas for Africa’s mobile and tech industry. In 2025, mobile technologies and services generated $240 billion in economic value across Africa, supporting approximately 13 million jobs and contributing $45 billion in public revenues. By 2030, the GSMA said, that contribution is projected to reach $290 billion — driven by the continued expansion of mobile services and growing adoption of digital technologies including 5G, the Internet of Things and AI.
Operators across Africa are projected to invest $76 billion between 2025 and 2030. “Whether this investment translates into the coverage, quality and capacity that Africa needs depends heavily on the regulatory and cost environment in which it is deployed,” the GSMA said. Markets that have reduced rights-of-way costs, enabled infrastructure sharing and provided regulatory predictability are seeing faster and broader capital deployment. “Infrastructure-sharing models in particular are emerging as a structural solution for extending coverage into areas where individual operator economics alone cannot justify the investment,” the industry body added.
