AI, Satellites, and Next-Generation Networks are Reshaping Telecom Industry Dynamics

The telecommunications industry is entering a period of profound technological and business transformation, driven by the simultaneous evolution of new network technologies, satellite connectivity, and artificial intelligence. According to Dan Hays, principal at PwC and leader of the firm’s enterprise strategy consulting practice for the technology, media, and telecommunications sector, the industry is currently completing the rollout cycle of 5G while already debating the next generation of mobile networks.

Speaking about the state of mobile networks, Hays notes that 5G is now well into its global development cycle. “5G is now six or maybe even close to seven years into deployment in some countries, while in others it is still in the early stages,” he explains. He adds that adoption is now accelerating significantly. “We are reaching the knee of the adoption curve for 5G, particularly as the technology expands into developing markets.”

Although 5G has not yet reached its full potential, the industry is already intensifying discussions about 6G. “One of the key debates around 6G is whether it will simply deliver faster speeds or introduce entirely new functionality for users,” Hays says. Spectrum allocation remains one of the major open questions. “Within the next one to two years, we expect 6G standards to stabilize so that infrastructure vendors can begin developing equipment aligned with those specifications.”

Satellite connectivity has also emerged as a dominant topic at Mobile World Congress in Barcelona. According to Hays, this area could fundamentally reshape how global connectivity is delivered. “Satellite has become one of the biggest topics at MWC, largely due to the rise of low-Earth orbit satellite constellations,” he notes.

For telecom operators, satellite networks offer the potential to extend terrestrial coverage far beyond current limitations. “For the mobile industry, satellites promise the ability to extend coverage virtually anywhere,” Hays explains. However, direct satellite-to-device connectivity remains in its early stages. “Direct-to-device technology is just emerging, and we expect it to expand over the next two to three years as more compatible devices enter the market.”

Mass adoption, however, will take considerably longer. “It will take years before device penetration reaches the tipping point, so realistically we are talking about a mass-market opportunity sometime beyond 2030.”

At the same time, innovation in mobile devices has slowed somewhat in recent years. “For the last six to eight years, we have been carrying devices with very similar form factors, battery life, and functionality,” Hays observes. Artificial intelligence could become the catalyst for the next wave of innovation. “Not all AI needs to be processed in large data centers. There is a real opportunity for smaller models to run directly on the device.”

This approach, known as on-device AI, could deliver faster responses, improved privacy, and reduced network load. “If I ask something simple like a weather forecast, the AI model could easily run on the phone itself, while more complex queries would still require cloud processing.”

Another challenge facing the industry is the global mobile device supply chain. Hays emphasizes that recent geopolitical tensions and trade barriers have exposed structural vulnerabilities. “A large share of device manufacturing is concentrated in Asia, particularly in China, which creates a significant supply-chain risk.”

As a result, companies are exploring diversification strategies. “We are seeing early examples of new device manufacturing or assembly facilities announced in the United States, something that has not happened for a very long time,” he says. Similar developments could also emerge in Europe, India, and Brazil.

Spectrum management remains one of the most complex regulatory issues in the telecom sector. “Spectrum has historically been very rigid in how it is allocated, and reallocating it for new technologies is extremely challenging,” Hays explains. These decisions require long-term planning and international coordination through processes such as the World Radiocommunication Conference.

Artificial intelligence is simultaneously becoming a key tool for telecom transformation. Hays notes that operators are already using AI to improve operational efficiency and automate customer service processes. “Increasingly, when you call with a billing question, the answer you receive will come from an AI agent rather than a human.”

AI can also help manage complex network operations. “If there is a network failure, AI can determine the cause and help the network recover automatically,” he explains. In the longer term, some industry discussions even involve distributed AI infrastructure. “There are ideas about placing small AI data centers at the base of cell towers, although we are still far from a commercially viable model.”

Alongside technological change, digital trust is emerging as a critical issue. The rise of generative AI is making it increasingly difficult to distinguish authentic content from manipulated material. “Today you often cannot tell whether you are speaking with a human or an AI, or whether the video you are watching is real,” Hays warns.

In the telecommunications sector, trust is therefore a fundamental component of the digital ecosystem. “Trust must be built at every layer – from devices and applications to services and connectivity,” Hays concludes, stressing that the question of digital trust will remain one of the defining issues for the industry in the coming years.