Telecom Giants Push 6G Into the Spotlight at MWC, Even as Global Standards Remain in Flux

It was not long ago that 5G networks were still being deployed across major economies, with operators investing billions in spectrum auctions, infrastructure upgrades, and edge computing capabilities.

Now, at Mobile World Congress, attention has shifted decisively toward 6G — even though binding global standards for the technology are still under development.

The acceleration is being framed around artificial intelligence. Industry leaders believe that the next generation of wireless networks will not simply deliver faster speeds, but serve as the connective fabric for AI-driven systems operating at national and industrial scale. That framing has become central to two high-profile initiatives unveiled around MWC.

Over the weekend, Nvidia said it had entered into a commitment with partners “to build the world’s next generation of wireless networks on AI-native, open, secure and trustworthy platforms.” The language signals a shift in emphasis: instead of networks transporting AI workloads, the networks themselves would be architected around AI.

In parallel, Qualcomm outlined its own coalition and roadmap. The mobile modem maker said it intends to develop an “AI-native” 6G system built on three pillars — connectivity, wide-area sensing, and high-performance compute. Qualcomm is not only promoting a technical vision but also pressing for an accelerated standards process. It has called for “development of essential 6G standards, early system validation, demonstration of 6G spec-compliant pre-commercial devices and networks” by 2028, with a view to establishing interoperable global commercial systems in 2029.

That timeline intersects directly with the work of global standards bodies. The International Telecommunication Union published its IMT-2030 framework for 6G in 2023, setting out high-level objectives such as enhanced capacity, lower latency, integrated sensing and communications, and support for emerging digital ecosystems. The organization is now defining detailed performance requirements and evaluation criteria. At the same time, the 3rd Generation Partnership Project has launched early-stage study items for 6G, marking the beginning of a multi-year technical specification process.

Neither body has finalized commercial specifications. In practical terms, this means vendors are shaping visions and prototypes without a fixed technical blueprint. Historically, generational shifts in mobile technology have required consensus-driven standardization, spectrum harmonization, and extensive interoperability testing before mass deployment.

The strategic positioning underway suggests companies are seeking influence over those outcomes. Nvidia’s approach centers on AI-RAN — embedding artificial intelligence within the radio access network to enable real-time optimization, predictive traffic management, and continuous software upgrades. The company envisions a network layer that evolves through software rather than periodic hardware redesigns. That model aligns with Nvidia’s broader strategy of embedding its accelerated computing platforms into infrastructure that powers AI workloads.

Qualcomm’s emphasis leans toward integration at the device and edge level. By combining sensing, connectivity, and compute, it is signaling a 6G environment that supports large-scale deployment of physical AI systems — autonomous vehicles, industrial robotics, smart infrastructure, and immersive extended reality platforms. These use cases require ultra-reliable, low-latency communications, potentially below what current 5G standalone networks consistently deliver in real-world conditions.

Several major operators and equipment vendors are participating across the initiatives, including BT Group, Cisco, Deutsche Telekom, T-Mobile, Nokia, SK Telecom, and Ericsson. Their involvement indicates that 6G discussions are not confined to research labs but are influencing capital allocation and long-term network planning.

The economic context also matters. Many operators are still seeking returns on 5G investments, particularly in regions where monetization of enhanced mobile broadband has lagged expectations. Framing 6G around AI-enabled industrial transformation offers a potential new revenue narrative — positioning telecom networks as foundational infrastructure for autonomous systems, digital twins, and distributed AI computing.

At the same time, spectrum policy remains unresolved. Future 6G systems are widely expected to incorporate higher frequency bands, potentially including sub-terahertz ranges, to achieve extreme data rates and capacity. That introduces technical challenges around signal propagation, energy efficiency, and infrastructure density. The cost and feasibility of scaling such deployments will be central to commercial viability.

Security and resilience are also emerging as core design considerations. As AI becomes embedded in network control layers, issues of data integrity, algorithmic transparency, and cyber resilience become more complex. The ITU’s IMT-2030 framework emphasizes sustainability and trust, reflecting growing regulatory scrutiny over digital infrastructure.

For now, much of what is being presented under the 6G banner remains a pre-standardization vision. Without finalized specifications from the ITU and 3GPP, claims of “6G-ready” systems are best understood as directional commitments rather than deployable platforms.

Still, the competitive dynamics are clear. The race is not simply to build faster radios, but to define the architecture of AI-driven connectivity for the next decade. Companies are moving early to shape standards discussions, align ecosystems, and position their technologies at the center of what they expect will be the next multitrillion-dollar infrastructure cycle.

Commercial 6G networks may not arrive until the end of the decade, but the strategic contest over their foundations has already begun.