Telecommunications companies are dealing with networks that are more complex than ever. The arrival of 5G, strict service requirements, and tough competition from digital-native firms have made it clear that old ways of working will not be enough. Most importantly, the industry can no longer rely on simply hiring more people to keep up. Instead, the future belongs to autonomous network systems that can configure, optimise, and repair themselves with little human help. Because of this shift, operational efficiency and cost savings are within reach, and companies are better able to launch new digital services quickly.
The race toward autonomy
According to IBM in a recent survey of 200 global telecom operators, the move to autonomous networks is gaining speed. Today, only a small percentage of companies have reached advanced levels of autonomy. However, nearly a quarter expect to achieve this in the next three years. Early adopters are already seeing a “flywheel effect.” As they invest more in automation and artificial intelligence, progress becomes easier and returns increase. By 2028, operators expect a 22% return on investment from autonomous network projects. Besides that, they plan to boost network budgets, with a significant share going to transformation efforts, especially those involving cloud and AI.
The technology foundations
Cloud-native systems and mature AI are the backbone of this transformation. Over half of telecom executives believe that strong cloud infrastructure is crucial for moving forward. Nearly half have already shifted much of their network operations to the cloud. Despite this, only a third see advanced AI as essential, and fewer than one in five have used AI in several key network functions. Many are still running early pilot projects, which slows down progress. Therefore, accelerating AI adoption and building strong data systems is vital for network intelligence.
The data challenge
Data management stands out as a major hurdle. Many executives say that data silos and poor data quality are the number one challenge to building autonomous networks. These problems make it hard to use AI effectively and slow down the move toward autonomy. Without a unified data platform and strict data quality controls, companies will struggle to realise the full benefits of self-managing networks. Because technical complexity adds to these issues, firms must overhaul their data strategies and break down silos to unlock the potential of autonomous networks.
Why speed matters
The stakes are high. Autonomous networks are not just about technology; they are a strategic necessity. Nearly seven in ten executives agree that these networks are essential for improving customer experience. As networks become smarter, operators can deliver faster service, fix problems before customers notice, and offer more personalised experiences. Those who move quickly are already pulling ahead. Operators at higher levels of autonomy invest more and expect higher returns. They are also more likely to have features like self-healing and automated service ticket resolution in place. Early gains can compound rapidly, making it harder for latecomers to catch up.
Lessons for technology leaders
There are clear lessons for technology leaders according to the survey report. First, act boldly and invest early in foundational technologies like cloud and AI. Second, break down data silos and build a single, trusted source of information. Third, remember that success depends on teamwork and strong partnerships with technology providers. Finally, always keep the customer in mind. Automation should not just cut costs—it should improve the experience for everyone who uses your services.
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