The telecommunications industry has been at the forefront of integrating new technologies into its operations for over a decade – it has been an early adopter of artificial intelligence (AI), machine learning and predictive analytics. Last year, Nvidia’s 2024 State of AI in Telecommunications report showed that 90% of telcos were already engaged in AI, either in the assessment/pilot stage or the implementation stage. And just a few months into 2025, early reporting showed that number is as high as 97% AI adoption, with nearly half of telcos already deploying AI tools. 

Let’s highlight the key areas of how telcos are currently harnessing the power of AI in their business.

Improved telecom customer experience

According to Microsoft, 62% of telecommunications providers enhance customer experience through agentic AI, with an expectation that this figure will rise to 90% in 2027. By integrating AI-powered CX solutions, such as virtual agents and chatbots, telcos have experienced numerous advantages for both the business and customers. Internally, AI helps with improved efficiency among human agents by automating and streamlining repetitive tasks and inquiries from customers. Also, AI helps to identify at-risk customers and provide proactive support, reducing churn and improving retention. By analyzing vast amounts of data, AI can provide valuable insights into customer behavior and preferences, enabling businesses to make more informed decisions and optimize network performance. With AI integrated in CX, customers benefit from more personalized experience, reduced wait times and faster issue resolution leading them to remain loyal customers and brand advocates.

For CX to benefit from GenAI adoption in an effective manner, business leaders should focus on the areas where AI can drive quick wins, such as conversational AI in customer support (chatbots, voice bots) and automation of tickets to benefit call center agents. GenAI should augment agent productivity, not replace them, by supporting them with coaching tips during live calls, summarized call notes post-interaction, and providing suggestions to reduce call handling time.

Predictive fault management

In today’s fast-paced and interconnected world, the demand for reliable and efficient communication services has never been higher. Today’s customers demand an exceptional user experience and depend heavily on network services. Therefore, it’s imperative for telecom companies to constantly monitor and maintain their networks to prevent downtime and equipment failures and ensure high-quality service for their customers.

To efficiently manage telecom network complexity with millions of miles of fiber and copper cables in the ground, and hundreds of thousands of communications towers across the country, fault isolation is critical to sustaining reliable network services.

To achieve this, telcos can apply AI-driven predictive fault management to identify anomalies and schedule maintenance to prevent outages before they occur – essentially shifting from reactive to proactive network management. With AI, telecommunication networks can automatically resolve common issues without human intervention, reducing the time and resources required for problem-solving. Also, with real-time data-driven insights at their disposal, telcos can make more enhanced decision-making and strategic planning.

Enhanced revenue assurance

Another value of AI solutions for telecom is their ability to identify inefficiencies that may cause revenue leakage – or opportunities to generate new revenue streams. In fact, a recent PwC report showed that most global CEOs are optimistic about GenAI’s potential to increase revenue and profitability.

With the latest AI solutions, telcos can prevent revenue leakage across several critical areas by automating billing, rating, and other revenue-related processes to reduce errors, leveraging AI to identify and prevent fraudulent activities, and using advanced analytics and monitoring systems to proactively detect and prevent revenue leakage before it impacts the bottom line.

AI can also help telcos identify new revenue opportunities by using AI to better understand customer wants and needs. By analyzing customer network usage patterns from real-time data, companies can offer a more tailored, personalized approach, develop a more targeted pricing and discount model, and provide a higher class of service enhancing customer satisfaction.

Looking ahead

GenAI presents the telecommunications industry a significant opportunity for lasting renewal and meaningful growth. As the implementation gets underway, business leaders should keep critical considerations in mind, such as starting with business-centric use cases (e.g., CX, network optimization) and setting clear KPIs for these, ensuring data quality and governance, maintaining AI strategies that have the right balance of innovation and regulation, and upskilling employees on AI tools and literacy.

Innovation isn’t a future strategy; it’s a competitive advantage right now. The question isn’t whether to evolve, but how fast you can accelerate. By being stringent on where resources are allocated, forgoing low-value activities such as system upgrades, partnering with third-party services providers to reduce support costs, and demanding high ROIs for new investments, telcos can interoperate and scale and more importantly, align with broader digital transformation goals that will further differentiate customer experience and strengthen brand preference.

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Rob Purks is a Founding Partner at Lumerai Advisors , a technology strategy advisory firm. Lumerai Advisors provides an unbiased perspective which is not influenced by vendor relationships.  With over 150 years of CIO and technology experience, the founding partners bring an honest and complete perspective on technology strategies and challenges.