Telecommunications companies are uniquely positioned to accelerate the growth of the artificial intelligence economy. AI is widely regarded as the defining technology of our era, demanding unprecedented computing power and energy. Yet a significant barrier remains: AI needs real-time, high-quality data to perform effectively, and that data often isn’t accessible when and where it’s required.
Today’s sophisticated AI models can consume as much energy as 1,000 households in a year, but inefficiencies in data access leave a striking portion of that compute capacity unused. Estimates indicate that around 40% of available compute sits idle because the right data streams aren’t available, and over 65% of AI research projects are delayed or fail due to data-related challenges.
Telcos, which already manage and transmit vast quantities of information—an estimated 180 zettabytes of global annual data traffic—can do more than deliver connectivity. By monetising and activating the wealth of data flowing through their networks, telecom providers can become essential enablers of AI innovation and tap into a multi-billion-dollar opportunity.
The AI Data Paradox: Compute Without Content
AI capabilities in language, vision, forecasting, and other domains are advancing rapidly, but their success hinges on consistent access to high-quality, timely data. When data pipelines are incomplete or poorly configured, even dramatic increases in compute power yield limited returns. This mismatch wastes energy, stalls innovation, and undermines return on investment in AI infrastructure.
Telcos can help resolve this mismatch. Their networks generate and carry enormous, continuous data streams—from smart city sensors and industrial IoT to consumer devices—making them natural stewards of otherwise underutilised information. Industry analysts estimate that as much as 90% of the world’s stored data is “dark data,” collected but never exploited. By unlocking these dormant resources and delivering curated, usable data, telcos can fill the gap between idle compute and unmet AI potential.
The Untapped Goldmine: Telco Data Streams
Telecom operators sit at the centre of exponential growth in global data traffic. With IoT and connected ecosystems set to generate the majority of real-time data, much of this information has historically been treated as a by-product of connectivity rather than a strategic asset. That perspective is changing: telcos are increasingly recognising the commercial and strategic value of the data that flows across their networks, particularly for training and operating AI systems.
Key Monetisation Opportunities
1. Real-Time Data for AI Training: AI models—whether for conversational agents, autonomous systems, or predictive analytics—improve dramatically with live, representative data. Telcos can create monetisable packages of anonymised, aggregated real-time metrics to accelerate model training and refinement for AI developers.
2. Partnerships for Edge Computing: The spread of 5G enables telcos to offer edge-based, low-latency compute close to data sources. As enterprises shift more processing to the edge, telcos can partner with cloud and AI providers to host inference workloads and reduce latency, capturing a growing share of edge-related revenue.
3. AI-powered Enterprise Services: By combining network data with AI capabilities, telcos can deliver value-added services such as hyper-personalised marketing, demand forecasting, and predictive maintenance for industrial equipment. These services help customers reduce operating costs and improve uptime.
4. Energy Optimisation Solutions: Given AI’s high energy footprint, telcos can apply AI-driven analytics to optimise their own network energy consumption and offer those solutions to enterprise customers facing similar sustainability and cost pressures.
Challenges on the Road Ahead
Despite the significant opportunities, telcos must overcome several hurdles. The foremost is data privacy and security: as custodians of sensitive user and operational data, telecom operators must meet rigorous regulatory and ethical standards. Transparent governance and robust security practices are essential to build trust with consumers and enterprise partners.
Interoperability and scalability are also critical. To serve diverse AI workflows, telcos need platforms and pipelines that integrate seamlessly with existing AI tools and frameworks while scaling to handle rapidly growing volumes of data and compute demands.
Finally, telcos must manage organisational change. Moving from a connectivity-first mindset to a data-centric business model requires new skills, processes, and culture—investments in talent, training, and cross-functional teams will be necessary to realise this transformation.
Why 2025 Is an Inflection Point
Several converging trends make 2025 a pivotal year for telcos to expand into the AI data market:
· Maturing AI Ecosystems: AI technologies are now delivering tangible economic value in production settings, driving demand for reliable, real-time data streams.
· 5G Expansion: Widespread 5G deployment provides the low-latency, high-bandwidth infrastructure required for many AI applications and edge computing scenarios.
· Sustainability Concerns: As attention grows on AI’s energy consumption, telcos can offer optimisation strategies that reduce wasted compute and align with broader sustainability goals.
· Enterprise Adoption: Organisations across sectors are embedding AI into decision-making, increasing demand for dependable data sources and analytics capabilities.
Telcos as AI’s All-You-Can-Eat Buffet
Rather than simply transporting bits and bytes, telcos have the chance to become the central suppliers of the real-time data that AI systems crave. By packaging, protecting, and delivering high-quality data streams and edge compute services, telecom operators can shift from utility providers to strategic partners in the AI ecosystem.
This evolution extends beyond new revenue streams: it redefines the role of the telco in the digital economy. Those companies that move quickly to unlock their data assets, invest in secure and interoperable platforms, and embrace a data-centric culture will position themselves as indispensable players in an AI-driven world.
As telcos and AI systems become more tightly interwoven, they will jointly shape the next wave of technological progress—transforming industries, improving efficiencies, and supporting more sustainable computing practices.
Photo by Jude Mack on Unsplash