{
  "id": 4870592,
  "title": "Nokia turns to AI as Africa’s telecom market enters its next phase",
  "url": "https://urgent.news/2026/09/01/nokia-turns-to-ai-as-africas-telecom-market-enters-its-next-phase",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T13:28:01.000Z",
  "source": {
    "name": "TechCabal",
    "slug": "techcabal",
    "url": "https://techcabal.com/2026/09/01/nokia-turns-to-ai-africa-telecom-market-next-phase/"
  },
  "original_language": "en",
  "account": "Africa's telecommunications market has long been focused on expanding connectivity, from towers and fiber to 4G and 5G networks. However, the introduction of artificial intelligence (AI) is transforming these networks, shifting their focus from merely moving data to processing and acting on it in real-time. Nokia, once a dominant force in Nigeria's mobile phone market and a key player in building Africa's telecom infrastructure, recognizes this shift as both an opportunity and a new competitive challenge.\n\nAfrica's telecom market, currently valued at $66 billion and projected to reach $90.3 billion by 2030, is attracting significant investment from global technology giants like Meta, Google, and Microsoft. This influx of capital is driving the development of subsea cables, cloud infrastructure, and AI systems, which are strengthening the infrastructure needed for Africa's digital future.\n\nFor Nokia, the stakes are high. Beyond selling network equipment, the company must secure a role in the emerging AI infrastructure to avoid becoming a lower-value connectivity provider. Nokia's president of Mobile Infrastructure for the Middle East and Africa, Daniel Mausoof, acknowledges the vast connectivity challenges still faced by much of the continent and stresses Nokia's commitment to the region. The company is working with major operators, including Airtel, Orange, Vodacom, Safaricom, and Maroc Telecom, and has deployed 5G networks in Angola, South Africa, and Ethiopia.\n\nTo extract more value from these networks, Nokia has introduced its Artificial Intelligence Radio Access Network (AI-RAN) platform. This platform integrates existing telecom infrastructure with GPU-based computing to enable AI workloads within the network. Launched on July 15, 2026, Nokia's AI-RAN aims to provide software and computing services that can offer recurring revenue streams and enhance the value of 5G and future 6G networks. The company's strategy revolves around AI-native networks, edge computing, automation, and software solutions.\n\nHowever, Nokia faces significant challenges in this new arena. The company is still largely absent from the consumer mobile phone market and competes primarily on hardware prices. As operators continue to treat networks mainly as connectivity infrastructure, Nokia risks increased price pressure from lower-cost rivals like Huawei, which has established a strong presence across Africa. Moreover, Nokia's approach relies on NVIDIA's GPU hardware and software, which could potentially be leveraged by other competitors. Additionally, Nokia ranks behind Huawei and Ericsson in RAN revenue, indicating a weaker position in the traditional network market.\n\nIndustry experts question Nokia's ability to establish a strong position in the rapidly evolving AI infrastructure market. Companies like Amazon Web Services, Google, and Huawei have already developed their own AI hardware and software stacks, giving them greater control over the computing layer that supports AI services. This vertical integration provides these companies with a competitive edge that Nokia may struggle to match. Some experts also note Nokia's lack of its own AI processors, leaving the company dependent on NVIDIA and other partners for critical components of the AI stack.",
  "summary": "Nokia expects AI-native networks, edge computing, automation and software to become increasingly important",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}