MWC Barcelona returned this year with near-record energy – 105,000 attendees, 2,900 exhibitors, and an unmistakable theme running through every hall: AI. But after spending time on the floor, in closed sessions, and in conversations with operators and vendors alike, one tension became clear: the industry’s ambition for AI-driven transformation is running well ahead of its ability to execute it.
That gap between the promise on the stands and the reality in production networks is where the most interesting strategic questions live. Here’s what we took away.
AI Operations: Many Still Stuck in the Pilot Lane
Autonomous networks have been a headline topic for several years now, and MWC 2026 was no different. TM Forum’s autonomy levels framework was referenced constantly, and the demos were genuinely impressive. Yet the honest conversations happening off-stage told a different story: most AI-driven operations projects haven’t made it out of POC or pilot phase.
The Tier 1 operators, who have the resources and incentive to push hardest, have largely built partial autonomy through combinations of internal engineering and support from large GSIs. Full autonomous network management, as TM Forum defines it, remains aspirational for the vast majority.
From an SI perspective, the biggest opportunity isn’t necessarily at the top of the market—it’s in bringing production-ready AI operations to Tier 2, 3, and 4 operators who don’t have the luxury of building their own, says Mark Abolafia, HTEC’s Senior Client Partner in the Telecommunications Practice, who attended the show.
This points to a real and underserved market. Smaller operators urgently need the benefits of AI-driven operations, including root cause analysis, self-healing networks, and predictive maintenance, but lack engineering resources to build bespoke solutions. An ‘AI Ops in a box’ approach, combining best-in-class platforms in a pre-integrated, operator-ready offer, is a compelling path forward. The same logic applies to enterprise clients managing complex private networks.
The Edge Is Different This Time
Edge computing has been a recurring theme at MWC for years, often with more hype than substance. What’s changed in 2026 is the arrival of genuinely compelling use cases that drive demand for edge inference: autonomous vehicles, industrial robotics, real-time computer vision, and low-latency AR/VR applications.
Nvidia, AMD and other’s presence at the show underscored this shift. Their investment across the sector, multiple billions deployed to seed edge AI infrastructure, signals a conviction that AI inference must happen as close to the physical action as possible. This isn’t about offloading compute for cost reasons; it’s about latency constraints that the cloud simply cannot satisfy. The infrastructure implications for telecoms, including placement, power, and connectivity requirements, are significant and largely unresolved.
Satellite: From Backup Link to Core Infrastructure
If there was one area that saw a great deal of innovation, it was satellite. SatCom is no longer positioned as a connectivity backup or a solution for the most remote deployments. At MWC 2026, satellite was being discussed as a primary component of industrial network design and enterprise connectivity strategies.
The ground network management and orchestration requirements that come with this shift are substantial. Managing hybrid terrestrial-satellite environments, handling non-terrestrial network (NTN) handoffs, and delivering enterprise BSS capabilities across multiple satellite networks is a genuinely complex engineering problem, and one that most operators are not yet equipped to solve.
The growth of SatCom has also created an opening for platforms that can help operators and maritime/enterprise providers manage services across multiple satellite networks from a single interface—a meaningful efficiency and revenue opportunity that is still early in its commercial development.
One company that stood out at MWC was Aalyria, a Google spinout that just closed a $100M Series B at a $1.3 billion valuation in early 2026. Built on over a decade of R&D originally developed at Google, Aalyria’s Spacetime platform functions as an AI-driven orchestration layer for complex, multi-network satellite environments dynamically routing traffic across constellations, ground stations, airborne assets, and terrestrial networks in real time.
It’s already being deployed across commercial LEO constellations and U.S. government programs. Aalyria’s primary focus has been federal and defense markets, but the commercial opportunity, particularly for maritime and multi-network enterprise operators, is substantial and largely untapped. For service providers managing connectivity across multiple satellite networks, this kind of intelligent control plane is exactly what’s been missing.
Connected Vehicles: The Pieces Are in Place
Connected vehicles commanded more floor space than many expected as major Tier 1 Operators and semiconductor companies were prominently represented, alongside carrier partnerships and software-defined vehicle demonstrations. The convergence of telco, semi, and automotive is accelerating.
What was notable is that many of the capabilities needed to serve this market such as SIM management and activation, embedded connectivity platforms, automotive software experience, and IoT management, already exist within the broader technology services ecosystem. The challenge is less about building new capabilities and more about productizing what exists, connecting the dots across domains, and bringing a coherent offer to global automotive OEMs and Tier 1 carriers.
A great example of this is Telness Tech: one of the most critical components of connected vehicle connectivity: fast, automated SIM and eSIM lifecycle management. Telness Tech’s cloud-native platform, built from the ground up as a fully automated, digital-first telco stack, handles everything from SIM activation and number management to provisioning and customer journeys, without legacy infrastructure or manual overhead. For automotive OEMs and fleet operators that need to activate and manage connectivity at scale across global markets, this kind of platform capability is a huge business accelerator.
The connected vehicle opportunity rewards integrators who can bridge the semiconductor software stack, telecom, and automotive worlds — not those who specialize in just one. — Mark Abolafia
What the ‘Everyone Has AI’ Problem Actually Means
One of the most striking observations from the show floor: practically every vendor had an AI story. Network testing, OSS/BSS, analytics, orchestration – AI was the modifier attached to everything. Some of these offerings are genuinely mature and production-proven. Many are not.
For operators evaluating vendors, this creates a real diligence challenge. The wait-and-see posture that’s been common among mid-size carriers is rational given the activity in the space, but it also creates risk of falling behind as the AI operations gap between Tier 1 and smaller operators widens.
The most durable differentiator in this environment isn’t having an AI product but the engineering credibility and integration depth to make AI actually work in production. That distinction matters now more than ever.
Looking Ahead
MWC 2026 confirmed that the telecom industry is at a genuine inflection point. The technology to deliver autonomous, AI-native networks exists. The edge infrastructure to support the next generation of latency-sensitive applications is being built. Satellite is integrating into core network design in ways that weren’t operationally able 24 months ago.
What is lagging behind is the ability to translate that capability into production-ready, operator-deployable solutions, especially outside the Tier 1 world. That’s the space where engineering expertise, platform integration, and domain depth will determine who captures the value of this shift.
HTEC is a trusted technology partner to telecommunications companies, semiconductor firms, and enterprises navigating digital transformation. For more on telecommunications from HTEC, visit htec.com/industries/telecommunications/
