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Finnish telecommunications technology giant Nokia is turning increasingly towards artificial intelligence, automation and advanced network infrastructure as Africa’s telecom industry moves beyond basic connectivity and into a more software-driven phase of growth.
The company sees AI-native networks, edge computing, automation and software becoming increasingly important as African operators deal with rising data consumption and prepare their infrastructure for the next wave of digital services.
For Nokia, the shift represents an opportunity to expand its role beyond supplying traditional telecom equipment and become a provider of the intelligent infrastructure needed to support AI-powered services.
AI Moves to the Centre of Network Strategy
Nokia’s strategy reflects a broader change in the telecom industry, where operators are looking to make networks more automated and responsive rather than simply expanding capacity.
The company has been developing AI capabilities that can help operators monitor network performance, identify faults and automate routine operations.
Its approach includes agentic AI, which can perform tasks with greater autonomy and assist telecom teams with network management and troubleshooting.
Nokia previously introduced AI capabilities across its fixed-network platforms, including Altiplano, Corteca and Broadband Easy, drawing on experience from more than 600 million broadband lines deployed globally.
The technology is designed to help operators identify problems before they become major service disruptions while improving customer support and reducing the workload on engineering teams.
Africa Offers Significant Opportunity
Africa’s rapidly expanding digital economy makes the continent an important market for Nokia’s next phase of growth.
Mobile connectivity remains central to economic activity across the continent, while demand for data continues to increase as consumers and businesses adopt cloud services, digital payments, streaming, artificial intelligence and other online applications.
This means telecom operators must increasingly build networks capable of handling not only more traffic but also more complex applications.
Nokia’s strategy is therefore aimed at helping operators transition from networks designed primarily to connect users to infrastructure capable of supporting increasingly intelligent digital services.
Automation Could Cut Network Costs
One of the biggest attractions of AI for telecom operators is the potential to reduce the cost and complexity of managing networks.
Nokia’s AI-powered systems can assist customer-care teams, network engineers and field technicians by providing automated diagnostics and troubleshooting support.
Its fixed-network AI capabilities include conversational assistants that give technicians access to technical information, as well as AI-powered text, voice and image guidance during network surveys and installations.
Computer vision can also be used to assess installation quality and build a digital representation of fibre networks.
Automated diagnostics can identify network degradation, while troubleshooting agents can analyse potential causes of faults and accelerate remediation. Nokia says these capabilities can help improve first-contact resolution, reduce unnecessary technician visits and make network operations more efficient.
Telecom Networks Become AI Infrastructure
The emergence of AI is also changing the role of telecom networks themselves.
As AI applications require greater computing power and faster access to data, operators are increasingly considering how edge computing and AI-ready network infrastructure can support applications closer to users.
Nokia’s broader AI strategy includes developing networks that can adapt dynamically to changing traffic requirements while supporting new enterprise applications.
In March, the company expanded its partnership with TIM Brasil, deploying AI-enabled 5G infrastructure and preparing the operator’s network for AI-driven services. The project covers 14 additional Brazilian states and around 42% of the country’s population.
The partnership also includes Nokia’s MantaRay SON technology, which uses automation and analytics to improve network performance and reduce operational costs.
African Operators Face New Demands
For African telecom operators, the transition towards AI comes at a time when the industry is already dealing with pressure to expand coverage, improve reliability and keep connectivity affordable.
Operators must simultaneously invest in fibre, 4G and 5G infrastructure while preparing for future technologies.
AI could help address some of these challenges by automating repetitive processes, identifying faults faster and enabling operators to manage increasingly complex networks without proportionally expanding their workforce.
However, the effectiveness of AI will depend heavily on the quality and availability of the underlying network data.
Nokia and other technology providers are consequently placing greater emphasis on open architectures, secure data integration and systems that allow operators to retain control over their data and AI models.
Nokia Positions for the AI Economy
The company’s AI push also reflects a broader restructuring of the global telecom equipment industry.
Nokia is seeking new growth opportunities as traditional telecom spending faces pressure, while demand for infrastructure supporting AI and data centres continues to increase.
The company acquired optical networking firm Infinera and subsequently received a $1 billion investment from Nvidia, which took a 2.9% stake in Nokia. The moves have strengthened Nokia’s position in technologies linked to the rapidly expanding AI infrastructure market.
For Africa, the significance goes beyond Nokia’s corporate strategy.
As operators across the continent expand their networks, the next stage of competition may increasingly be determined not simply by who can provide the widest coverage, but by who can operate networks more intelligently, efficiently and reliably.
Nokia’s bet is that AI will become a core layer of that infrastructure turning telecom networks from passive connectivity systems into increasingly automated platforms capable of supporting Africa’s next phase of digital growth.
