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Insights from MWC 2026

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By Ashley Costello, Head of Technology Consortia & Standards Practice

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A notable shift is underway across the telecom industry — and it was clearly visible at this year’s MWC Barcelona.

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It wasn’t just the product announcements or technology demonstrations.

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It was the competing forces and strategic tensions shaping how next-generation networks will be designed, operated, and governed.

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Through conversations across the ecosystem and collaboration with organizations such as the AI-RAN Alliance, IOWN Global Forum, and the Automotive Edge Computing Consortium, several clear themes emerged throughout the week.

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Here are five key takeaways — and what they signal for the future of the industry.

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1) AI is becoming the brain of the network

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Telecom operators are moving beyond AI pilots toward embedding AI deeper into real-time network operations.

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Vendors such as Ericsson and Nokia are integrating AI into network optimization, while companies like NVIDIA are bringing accelerated computing capabilities into telecom infrastructure itself.

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The tension: Ownership and control of the AI layer, and the influence it will have over network intelligence, is becoming a defining competitive question.

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2) AI and RAN are beginning to converge

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A recurring theme across discussions at MWC was the idea that telecom networks and AI workloads could increasingly run on shared infrastructure.

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Industry collaborations like the AI-RAN Alliance are bringing together operators, infrastructure vendors, and AI leaders to explore what AI-native network architectures could look like.

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The tension: The evolution from purpose-built telecom infrastructure toward flexible, AI-driven compute platforms challenges long-established architectural and operational models.

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3) Cloud players are becoming telecom players

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Partnerships with hyperscale cloud providers — including Amazon Web Services, Google Cloud, and Microsoft — continue to reshape how networks are built and operated.

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These collaborations are accelerating innovation and enabling new service capabilities. At the same time, they are prompting important questions about long-term ownership of critical infrastructure and strategic control.

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The tension: Balancing the speed and scale of cloud innovation with the need for resilience, digital sovereignty, and long-term strategic control.

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4) Connectivity is becoming mission-critical for other industries

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Telecom innovation is increasingly being driven by the needs of adjacent industries, such as automotive.

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Organizations like the Automotive Edge Computing Consortium are exploring how edge computing and next-generation networks will support connected and autonomous vehicles — requiring ultra-low latency, highly distributed computing architectures, and new models of cross-industry collaboration.

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The tension: Industry-specific performance requirements are pushing telecom networks beyond traditional design assumptions and operating frameworks.

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5) Energy efficiency is becoming a design principle

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As networks evolve into increasingly compute-intensive, AI-enabled platforms, efficiency is shifting from a technical metric to a core strategic priority.

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Initiatives like the IOWN Global Forum are driving industry conversations about how infrastructure can deliver both performance and sustainability at scale.

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The tension: Meeting rising expectations for processing power and intelligence while fundamentally rethinking how networks consume and manage energy.

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What this means for the future of telecom

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Taken together, these developments signal a broader transformation underway across the telecom landscape.

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Networks are evolving beyond connectivity platforms into intelligent digital infrastructure supporting everything from enterprise automation to connected vehicles and real-time edge intelligence.

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The shift is not just technological — it’s increasingly ecosystem-driven. Operators, technology vendors, hyper scalers, and industry verticals are now shaping the future of networks together, rather than independently. Competitive advantage will increasingly depend not only on innovation within individual organizations, but also on the ability to coordinate across ecosystems, align governance models, and translate emerging technologies into scalable operational frameworks.

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Through our work supporting global technology consortia and industry collaborations — like the AI-RAN Alliance, IOWN Global Forum, and Automotive Edge Computing Consortium — we are seeing firsthand how these ecosystem dynamics are accelerating decision-making, enabling interoperability, and helping organizations navigate complex strategic transitions.

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This reflects a simple reality: the next generation of networks will not be built by any single company or industry sector.

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They will be shaped by coordinated collaboration and innovation across entire ecosystems.