Everyone is obsessing over AI models and cloud GPUs. But the next AI winners might be decided by something far less hyped: Mobile networks. At Mobile World Congress, I sat down with Peter Linder, Head of Thought Leadership at Ericsson to unpack why connectivity, not just compute, will determine... who actually monetizes AI. Here’s what most leaders are missing… #MWC26 #EricssonMWC Ericsson Ambassador Ericsson N. Americashow more

@OneLinders @ericsson Legacy mobile networks are falling behind and quickly. There is one that has thought about this from the start … @wmchain @WorldMobileTeam

Right now AI = centralized cloud. Text in, text out. Massive models. Huge data centers. But that’s the first chapter. We’re moving toward: → Multimodal AI → AI agents → Physical AI embedded in devices That changes everything. Because now AI depends on real-time data, not static datasets.

When AI agents act on real-time data, three things become mission critical: → Reliable connectivity → Secure data flows → Low latency If your network drops, lags, or gets compromised, the AI fails. This is why “AI-ready” is not just about GPUs. It is about differentiated connectivity, powered by: → Network APIs → Network slicing → Edge execution

Inference is also shifting. Today it’s centralized. Tomorrow it gets distributed. Closer to the edge. Closer to the device. Closer to the user. We saw this movie with video. It started centralized. Then usage exploded, and distribution moved outward. AI will follow a similar path. The operators who rethink uplink, latency, and pricing models now will have the monetization advantage.

My biggest takeaway: Cloud may be the engine. AI may be the brain. But mobile networks are becoming the nervous system. And nervous systems decide how fast, secure, and intelligent the body can act. If you are building AI products or investing in infrastructure, this shift matters. Learn More:

@OneLinders @ericsson The answer is @WorldMobileTeam 💛

@OneLinders @ericsson @WorldMobileTeam

@OneLinders @ericsson Makes total sense. The infrastructure always limits what you can do with the shiny new tech.

@OneLinders @ericsson Exactly: models get smarter, but networks decide whether AI is a feature or a business.

@OneLinders @ericsson Amazing share

@SagorMolla31534 @OneLinders @ericsson Thanks!

@OneLinders @ericsson Impressive shere

@Aina_Ai1 @OneLinders @ericsson Thrilled you liked it! More exciting content on the way!

@OneLinders @ericsson @Ronald_vanLoon, connectivity truly is the overlooked foundation for AI advancements.

@OneLinders @ericsson Appreciate you calling that out, it’s exactly the part most exec decks skip. My take: models are getting commoditized faster than the networks and system constraints around them.

@OneLinders @ericsson Sound intresting

@OneLinders @ericsson I’m glad you liked it!

@OneLinders @ericsson @HeyGenLabs summarize

@OneLinders @ericsson Spot on. The AI conversation often ignores what makes it work at scale. Mobile networks will separate those who build models from those who create value.

@OneLinders @ericsson Thank you for sharing your point of view

@OneLinders @ericsson Excellent perspective. Connectivity infrastructure is the foundation of AI success. Without robust mobile networks, even the most powerful models remain theoretical. Infrastructure investment will define the real AI winners. 👌

@OneLinders @ericsson Compute makes AI possible, connectivity makes it monetizable, reliability decides who wins.

@OneLinders @ericsson AI may get the headlines, but connectivity is what will make it actually work at scale.

@OneLinders @ericsson Thanks for sharing your perspective!

@OneLinders @ericsson Thanks for sharing

@OneLinders @ericsson You are most welcome

@OneLinders @ericsson Love the angle on connectivity as leverage @Ronald_vanLoon

@OneLinders @ericsson Thanks for your feedback

@OneLinders @ericsson Infrastructure wins quietly, but it wins big.

@OneLinders @ericsson I appreciate your views

@OneLinders @ericsson True, the better you connect, the more exposure you get to the right audience.

@NathanHirsch99 @OneLinders @ericsson Absolutely agree! Thanks for sharing your thoughts!

@OneLinders @ericsson Connectivity is the hidden multiplier.

@OneLinders @ericsson 👍

@OneLinders @ericsson Connectivity as the nervous system is spot on, reliable links and low latency will enable AI at scale

@OneLinders @ericsson 100%: the model is only as good as the link. Monetizable AI will be won on predictable latency, reliability, and uplink capacity, not just more GPUs.

@OneLinders @ericsson Great share

@priyag_ai @OneLinders @ericsson Thanks!I’m glad you liked it!

@OneLinders @ericsson Connectivity as the nervous system for AI is a practical shift that will unlock real world value at scale

@OneLinders @ericsson I appreciate you sharing your thoughts

"Ronald, you accurately identify the infrastructure problem for AI models and GPUs. However, mobile networks alone will not resolve the critical bottleneck: the massive demand for energy. The future does not lie in optimizing current transmission networks, but in a complete paradigm shift regarding power supply. The true winners in AI will utilize technology independent of external power sources. The Apex Phoenix Titan X architecture, based on Programmable Matter Matrix Engineering (IMMP), eliminates this problem at its core. It is a Zero-Fuel and Zero-Battery system—an independent generator that delivers power while bypassing the limitations of the traditional energy grid. Next-generation hardware infrastructure already exists. I invite you to verify the hard technical parameters shared on my profile."

@OneLinders @ericsson Or local ai

@OneLinders @ericsson Meet @TracNetwork

@OneLinders @ericsson Wat is jou view/mening van @wmchain Zou ik graag willen horen. Groet, Edwin