New Technology Trends in Telecom Innovation

2025: The AI-Native Telco In the 1990s, Wall Street’s trading floors were crowded with traders shouting and signaling. Today, algorithms and supercomputers dominate, executing trades faster and more precisely than humans ever could. Telecom is undergoing a similar transformation. The concept of the AI-Native Telco is emerging: a telecom model where AI powers network management, reduces costs, and drives innovation. This shift is critical as telcos face growing complexity: managing millions of network elements, adapting to variable traffic patterns, and addressing the challenge of operating expenses (OPEX) consuming 80% of sales revenue. South Korea’s telcos are leading the way. SK and KT have implemented AI strategies that are setting new standards: - SKT’s AI-RAN Parameter Recommender: By automating 5G base station parameter adjustments, SKT has reduced maintenance costs, including a $1.1bn US annual expense driven by electricity and utilities. The AI tool optimizes radio signals, cutting errors and improving network quality. - KT’s AI Meister: Deployed in 2024, this platform streamlines operations for wired and wireless networks, providing real-time diagnostics and predictive maintenance to minimize downtime and enhance efficiency. South Korea’s success also stems from strategic partnerships. SKT collaborates with Samsung on AI-driven RAN optimization, while KT’s $2 billion alliance with Microsoft focuses on building AI capabilities, including customized AI solutions and sovereign cloud services. The complexity of modern networks makes manual management unscalable. AI solutions such as real-time traffic optimization, predictive analytics, and automated diagnostics are essential. For instance, SKT’s on-device AI tested with MediaTek and Nota improved smartphone battery life by optimizing network connections, a critical feature as 5G drives higher energy demands. The Next Five Years As networks evolve, the AI-native model will become the industry standard. South Korea provides a clear roadmap: leverage AI to optimize networks, reduce costs, and empower employees with new tools. The race is on, and the question remains—who will rise to the challenge?

After spending the week in Barcelona at Mobile World Congress, meeting with operators, infrastructure providers, software companies, investors, colleagues and friends across the global telecom ecosystem, the future of Artificial Intelligence within the mobile network has arrived! A decade ago, Mobile World Congress was largely driven by smartphone innovation, smartphone cameras, device roadmaps, battery life and screen size. Today, the industry conversation has fundamentally shifted. MWC has evolved from a mobile device showcase into a global digital infrastructure summit, where the focus is increasingly focused and dominated on the convergence of AI, compute, cloud and connectivity. 5 themes stood out most this year: 1) AI Is Moving Into the Core of the Network: AI is no longer just analytics layered on top of telecom systems. It is being embedded directly into network infrastructure. AI-RAN architectures will optimize radio networks, autonomous network operations, with AI agents interacting with telecom infrastructure and with AI-enabled service experiences integrated into calls and devices. The shift underway is from networks that carry intelligence to networks that are themselves intelligent. 2) Satellite and Cellular Networks Are Converging: Direct-to-device satellite connectivity was one of the most discussed innovations this year. Partnerships between mobile operators and low-earth-orbit satellite providers are enabling satellite-to-phone connectivity and integrating non-terrestrial networks into 5G standards. Rather than competing with terrestrial networks, satellite is becoming a complementary layer that expands global coverage and resilience. 3) 5G Monetization: Another major theme is the industry’s focus on generating meaningful returns from 5G investments. • Private 5G networks • Fixed wireless access • Network slicing • Enterprise edge computing 4) Edge AI and Device Intelligence Are Accelerating: AI capabilities are increasingly moving closer to the user, i.e. running directly on devices and at the network edge. AI assistants integrated into telecom services, edge computing tied to RAN infrastructure and AI-enabled devices are aligning telecom with the broader global AI compute ecosystem. 5) Roadmap Toward 6G Is Already Emerging: As 5G matures, the industry is already exploring AI-native 6G architectures which is expected to unveil in 2030s, which would include integrated sensing, digital twins and autonomous infrastructure. Big Picture: Connectivity → Compute + Connectivity → Intelligent Networks. The companies that will lead the next decade of digital infrastructure will be those that successfully interlace AI innovation across telecom-satellite convergence, enterprise and government ecosystems balancing growth, operational efficiency and customer experience. #Bowen #MWC2026 #AI #Telecom #5G #6G #EdgeComputing #SatelliteConnectivity #NetworkAutomation #DigitalInfrastructure #AIInfrastructure #EnterpriseNetworking

𝗧𝗲𝗹𝗲𝗰𝗼𝗺 is no longer just upgrading infrastructure. It is repositioning for control in the AI economy. Over the last 24–36 months, the industry has crossed a structural inflection point. The real question for telecom leaders is no longer whether transformation is needed. It is where to place the next strategic bet. In our latest 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗕𝗿𝗶𝗲𝗳: 𝗧𝗲𝗹𝗲𝗰𝗼𝗺 𝗮𝘁 𝘁𝗵𝗲 𝗜𝗻𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗣𝗼𝗶𝗻𝘁, we unpack the forces reshaping the industry: • 𝗔𝗜 becoming the decision layer across operations, customer care, and network assurance • 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 redefining network economics through APIs, cloud-native cores, and programmable infrastructure • 𝗚𝗿𝗼𝘄𝘁𝗵 shifting from connectivity alone to ecosystems, vertical solutions, and AI-era services • 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆, 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲, 𝗮𝗻𝗱 𝘁𝗿𝘂𝘀𝘁 emerging as commercial differentiators • 𝗛𝘆𝗽𝗲𝗿𝘀𝗰𝗮𝗹𝗲𝗿𝘀 moving both up and down the stack, accelerating co-opetition and disintermediation risk 𝗔 𝗳𝗲𝘄 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁: 61% of telco executives are scaling GenAI across functions 85% of operators aspire to Level 4 autonomous networks by 2030, yet only 4% have reached it AI infrastructure is now a top strategic bet for telecom leaders Sovereign data and cloud are becoming central to future value capture 𝗧𝗵𝗲 𝗶𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿: telecom leaders cannot fund every adjacency, defend every legacy model, and win by incrementalism. The winners will be those who simplify portfolios, modernize data and network foundations, and choose their role in the AI value chain with conviction. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝘀𝗵𝗶𝗳𝘁 from network operator to AI-era platform orchestrator. 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗯𝗲𝗹𝗼𝗻𝗴𝘀 to telecom leaders who move early on three fronts: 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗮𝗯𝗹𝗲, 𝗺𝗼𝗻𝗲𝘁𝗶𝘇𝗮𝗯𝗹𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗮𝗻𝗱 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 The next decade of telecom value creation will not be defined by spectrum alone. It will be defined by who controls intelligence, trust, and monetizable platforms at scale. How is your organization redefining its position in the AI economy — as a connectivity provider, a platform player, or a sovereign digital backbone? #Telecom #AI #GenAI #DataModernization #Cloud #NetworkTransformation #AutonomousNetworks #DigitalSovereignty #Telecommunications #Leadership #Strategy

World Quantum Day Signals Telecom’s Quantum Leap Into the Future Introduction: As the world celebrates World Quantum Day, telecom leaders are beginning to see quantum technologies not as distant innovations, but as near-future necessities. With escalating demands for speed, security, and computational power, quantum computing and quantum communications are emerging as strategic pillars for the telecommunications industry. The article explores how quantum tech can redefine everything from network resilience to cybersecurity, positioning telecom as a key player in the quantum era. Key Themes and Developments: Quantum Computing in Telecom Operations: • Telecom networks rely heavily on optimization—whether in routing, bandwidth management, or energy consumption. Quantum computers, with their ability to solve complex combinatorial problems, promise transformative gains in operational efficiency. • Examples include quantum-enhanced algorithms for 5G network planning, fault detection, and traffic flow management—areas where classical computing reaches its limits. Quantum Communications and Cryptography: • Quantum Key Distribution (QKD) enables ultra-secure communication by using the laws of quantum physics to detect any interception attempts. Telecom companies are beginning to trial QKD for secure backbone networks. • Quantum-safe encryption is becoming vital as quantum computers threaten to break traditional encryption. The telecom industry is exploring post-quantum cryptography standards to stay ahead of this threat. Edge Computing and Network Infrastructure: • Quantum advancements may also extend to the edge, where quantum sensors and devices could one day provide real-time environmental or traffic data to telecom networks. • As classical and quantum systems integrate, hybrid architectures will emerge—requiring telecoms to rethink how data centers, base stations, and fiber optics interact. Global Collaborations and Investments: • Major telecom providers and national governments are investing in quantum R&D, forming consortia to accelerate development. • Public-private partnerships and regulatory frameworks are beginning to take shape, ensuring telecom players stay competitive and compliant in a rapidly shifting technological landscape. Workforce and Ecosystem Readiness: • Upskilling talent is a major focus, with telecom operators sponsoring quantum training initiatives and collaborating with academic institutions. Conclusion: Quantum technology is no longer the exclusive domain of physicists—it’s now a strategic imperative for telecom providers. From securing the future of global communications to optimizing the operations that run them, quantum represents a profound shift. As adoption barriers fall and capabilities rise, telecom’s next great frontier may well be quantum-powered, ushering in a new era of speed, security, and intelligence. Analog Physics qai.ai

The Telecom Industry in Transformation: Reflecting on three key challenges: Digitalisation and evolving consumer needs are transforming many sectors, with the telecom industry being no exception. In response to this dynamic landscape, I would like to share three technology challenges the telco industry must engage with over the coming years:   1) EMBRACING THE CLOUD: The development of cloud-native services for telecom functions such as voice and data is a huge challenge. This involves refactoring our traditional network hardware and monolithic telephony systems, moving everything into the cloud, and changing to devops working models. The payoff? Flexibility, faster service updates, resiliance, and the facilitation of personalised interaction options for our clients. Yet, we must overcome many transformation hurdles. The implementation of virtualisation and automation technologies requires a complete update of our network architecture, new product versions from our vendors, as well as a lot of skill and competency changes for our employees.   2) NAVIGATING THE AI WAVE The advent of #GenAI provides the telecom industry with an array of tools and services. AI can enhance efficiency across numerous areas from chatbots, AI-assisted call center agents, hyper-personalized marketing strategies, to optimized network maintenance. However, beyond efficiency, AI also holds the potential to introduce innovative services benefiting the end customer. Trust, privacy, and transparent handling of customer data are key to the acceptance of these new features.   3) ENSURING TRUST AND SECURITY The potentially most significant challenge ahead is maintaining robust security and customer trust. With hundredthousands of cyber attacks per month on our own Swisscom infrastructure and projected global damage from cyberattacks reaching USD 10 trillion per annum by 2025, security is paramount. In the future, trust-based innovation will be the competitive edge for telecoms and IT service providers. Earning trust is an ongoing, hard-pressed task that cannot be simply bought or created through marketing campaigns.   Achieving these challenges will require one crucial element - our employees. Developing the right skill set and a supportive corporate culture is key to handling such transformative pressures.   What challenges do you see for the telecom industry? How are these mirrored in your field? Looking forward to hearing your thoughts. Swisscom #TelecomIndustry #Transformation #CloudTechnology #CyberSecurity #InnovatorsOfTrust 

Legacy on-premise IT systems have a stranglehold on telco innovation. The AI-first future demands speed and agility that traditional software systems simply can't deliver. In the latest Telco in 20 podcast episode, Vodafone's Dr. Lester Thomas and I dive into how a radical new approach to IT is breaking down the barriers that have stalled telecom progress. While most operators debate whether cloud-native transformation is realistic, Vodafone is demonstrating not only is it doable — it's absolutely critical. We cover: • How Vodafone moved 17 petabytes of data from 600 Hadoop servers into Google Cloud to create their foundation for AI adoption • The company’s strict "cloud native" definitions have resulted in 80-90% of digital workloads being truly cloud native • The three principles Vodafone's Open Digital Architecture is based on: machine-readable standards, open-source collaboration, and proof-of-concept testing • Why AI is forcing complete software redesign at Vodafone, and how their AI Booster platform democratizes access while maintaining governance The operators who thrive won't be the ones doing IT the way it’s been done over the last 20 years. They'll be the ones bold enough to do the heavy lifting of truly becoming cloud-native and work to create a data platform that’s usable by AI so they are able to push the boundaries of what's possible in telecom. This is THE conversation to watch before you head to TM Forum’s DTW Ignite event in Copenhagen! If you missed the LinkedIn Live event you can watch the conversation on demand or listen to the audio only version on your favorite podcast player! Links in the comments. #Vodafone #telecommunications #cloudnative #AI #digitaltransformation

Is the MVNO business becoming more attractive? I am seeing a general trend where MVNOs are no longer just low-cost resellers—they’re becoming innovation hubs and value enablers. Here's a snapshot of some interesting things I am witnessing: 1️⃣ Hyper-Niche Market Strategies MVNOs are carving out success by going hyper-niche—serving specific communities, such as expatriates, gamers, seniors, or environmentally conscious users—with tailored plans, languages, and brand messaging. 🎯 Over 65% of new MVNO entrants in the last 2 years have targeted niche segments (Analysys Mason). Relevance beats reach. 2️⃣ eSIM & Digital-First Experiences With eSIM adoption on the rise, MVNOs are moving away from physical SIMs and enabling instant onboarding through apps. This is transforming how users activate and manage mobile plans—no (or less) stores, less delays. 3️⃣ Platform-as-a-Service (PaaS) MVNOs 🧱Some MVNOs are shifting from being consumer-focused brands to becoming enablers—offering their tech stacks to help others launch telecom services, fast and cost-effectively. This enables rapid go-to-market for new digital brands, fintechs, and IoT ventures embedding mobile into their offerings. 4️⃣ Other target opportunities 🏭 Think B2B opportunities, private 5G networks for enterprises, and IoT connectivity as differentiators in a saturated market. 🚀 The result? A more agile, diversified, and digitally-native MVNO sector. 👥 Curious to hear from others in the space—what trends are you watching?  Stephanie Ormston Elizabeth Hunter Adil Belihomji Ken Willner image source: telecoms dot com #5g #telecom #MVNO #networks #telcos #eSIM #MobileIndustry #VPspeak [^530]

💡 A Paradigm Shift in Innovation: Are you ready for the compounding effects of Tech Convergence? The World Economic Forum’s latest report reinforces what Amy Webb has been proposing for years. We are no longer witnessing individual tech breakthroughs. Instead, we're in an era of deep “Tech Convergence”, where tectonic shifts in a multitude of technologies occuring in parallel begin to converge, slowly and then suddenly. This isn't just another buzzword; it's a fundamental reshaping of industries, value chains, and competitive advantage. The report introduces the powerful 3C Framework - 1️⃣ Combination: The report identifies eight key technology domains—from AI and Omni Computing to Engineering Biology and Quantum Technologies—that are not just advancing in parallel but are being actively *combined*. Think of AI enhancing next-gen energy grids or spatial intelligence revolutionizing robotics. In telecom, this means combining Edge AI with 5G/6G networks to create truly intelligent, decentralized systems. 2️⃣ Convergence: These tech combinations are dissolving traditional industry silos. For telecom, this is a pivotal moment. We are no longer just connectivity providers. By integrating AI, IoT, and spatial intelligence, we are moving into new value chains—becoming the central nervous system for autonomous vehicles, smart cities, and remote healthcare. The opportunity? To shift from providing infrastructure to enabling entire ecosystems. 3️⃣ Compounding: As these converged solutions scale, they create exponential returns. Network effects, cost reductions, and the emergence of new standards accelerate innovation in a self-reinforcing cycle. For instance, as intelligent grid systems powered by our networks become standard, the demand for more advanced connectivity and data processing will explode, fueling the next wave of investment and innovation. Key Takeaways for businesses: - Beyond Connectivity: Our future value lies in enabling the convergence of other technologies. We are the backbone upon which intelligent, autonomous systems will be built. - Ecosystem Leadership: The race is on to establish and lead new ecosystems. This requires strategic partnerships across industries—from automotive to healthcare and energy. - Strategic Investment: It's crucial to balance our portfolio between mature technologies (like cloud infrastructure) and emerging ones (like quantum communication) to capture value at every stage of the 3C cycle. The message is clear: the winners of tomorrow will be those who master the art of technology convergence. We must move beyond segmented thinking and embrace a systems-level approach to innovation. Every business will have to begin with a serious diagnostic of their level of maturity and readiness to be able to embrace these transformative platform shifts. #TechConvergence #WEF #Innovation #AI #Telecom #5G #6G #FutureOfTech #Strategy #DigitalTransformation #IoT #QuantumComputing

Having 𝘀𝗽𝗲𝗻𝘁 𝟮𝟬 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘁𝗲𝗹𝗲𝗰𝗼𝗺 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, and after attending the 𝗜𝗧𝗪 Washington, I thought I had seen it all— . . . Until generative AI came along and turned everything upside down (in a good way, of course!). During my time at ITW Washington, it became clear that the telecom industry was on the brink of a revolution. Traditional methods were no longer enough. Enter AI, stage left, ready to steal the show. 💚 Case Study #1: AI as the Ultimate Customer Service Agent 💫 Telecom companies are notorious for their "please hold" music and endless queues. But with AI, it's like upgrading from dial-up to fibre optics overnight. AI-powered chatbots now handle high volumes of inquiries with the patience of a saint and the speed of a cheetah. Customer satisfaction? Through the roof! Case Study #2: Predictive Maintenance ✳ Remember the days when equipment failure meant sudden blackouts and frantic troubleshooting? Now, with AI, telecom companies can predict and prevent issues before they even occur. It’s like having a crystal ball but without the spooky fortune teller. Case Study #3: Personalized Marketing 🤴🏻 Gone are the days of blanket marketing strategies. AI enables hyper-personalized marketing, targeting customers with offers they want. It's like your network provider suddenly becoming your best friend who knows exactly what you need. Through my years in the telecom industry and the insights gained at ITW Washington, it’s clear that generative AI is not just a tool but a game-changer. It's challenging the old ways and bringing in new efficiencies, creativity, and customer satisfaction levels we only dreamed of. So, if you’re still sceptical about AI, just remember: it’s here to stay, and it's making our lives a whole lot easier—and a bit more exciting too! Stay tuned for more success stories as we continue to unleash creativity with generative AI. The future is bright, and it's powered by AI! #ceo #insight #itw #ai #automation

Personally, I’ve always been intrigued by the ever-evolving nature of the telecom industry—and right now, I see some fascinating trends from these intelligent service orchestrators of a connected world. Across major players globally, strategies look different, but they all circle back to one truth: customer stickiness beats infrastructure. Telecom strategy is splitting in two directions—price disruption on one side, ecosystem lock-in on the other. In the UK, ultra-low-cost mobile offers are reshaping competitive dynamics. The playbook is clear: attract price-sensitive customers, build volume fast, lock them into an ecosystem, and upsell later. Cheap isn’t just about price—it’s about creating competitive pressure. When one player goes low, others must follow or risk losing share. The bet? Getting customers in the door matters more than immediate margin. The real money comes later—from upgrades, bundles, and loyalty. Across the Atlantic, the story looks different. Recent quarterly results show integrated fiber-mobile strategies adding hundreds of thousands of subscribers, while aggressive expansion models are driving near double-digit service revenue growth. Some operators are doubling down on cost discipline and cultural resets; others are weaving connectivity into a single experience to lock in households. Different tactics, same truth: customer stickiness beats infrastructure. The telecom wars aren’t about towers anymore—they’re about ecosystems, experience, and speed. From a CTIO strategy perspective, this shift demands decisive action: - Rethink architecture for rapid onboarding at scale - Drive seamless integration across connectivity, cloud, and digital services - Embed predictive analytics to anticipate churn and optimize pricing - Automate operations without sacrificing experience And here’s where AI becomes the lever for growth and margin protection: Predictive AI to forecast churn and dynamically adjust offers Conversational AI to handle high-volume, low-margin support efficiently Generative AI to accelerate marketing and upsell campaigns AI-driven orchestration to manage complex multi-service bundles intelligently The winners will master both—value upfront and intelligence over time. #TelecomStrategy #AIinBusiness Kosha Majmundar Julia von Praveen Shankar