Each year, Mobile World Congress (MWC) in Barcelona brings together the global telecom and connectivity ecosystem to explore the technologies shaping the future of networks, digital services, and intelligent infrastructure.
With thousands of operators, vendors, innovators, and technology leaders gathering from around the world, the event has become one of the most important spaces to understand where the industry is heading.
This year, Pyxis was present at MWC26 through Nicolás Scaglione (CGO at Pyxis and CEO at Kinetix), Pablo Varela (Telecom Technology Strategy & Partner Development Leader at Kinetix), and Sebastián García Parra (Head of Applied AI at Pyxis).
Over several days of sessions and conversations with industry leaders, our team explored how AI, connectivity, and infrastructure are evolving together, and what this means for the future of telecom.
Below are some of the key insights that emerged from those discussions.
One of the most repeated ideas across sessions was that the real shift is no longer just Generative AI, but Agentic AI.
These are systems capable of:
• perceiving • reasoning • acting • reflecting • collaborating
all in an integrated way.
We are entering the era of inference at scale, where competitive advantage is no longer defined only by training models, but by how they execute, reason, and make decisions in real time, embedded directly into operational processes and networks.
The conversation is also moving beyond models toward what many are calling the infrastructure of intelligence.
A vertical stack that spans:
• energy and GPU clusters evolving at unprecedented speed • infrastructure optimized for inference • agentic applications executing real workflows
For telcos, the strategic challenge becomes clear:
• Making AI network-ready • Making networks AI-ready
Connectivity is no longer just transport.
It is becoming the infrastructure through which intelligence operates and scales.
Controlled autonomy, secure tool-calling, and networks designed to collaborate with intelligent agents will define the next phase of telecom evolution.
Another strong theme across MWC26 sessions was the tangible impact of AI in telecom.
The conversation is clearly moving beyond hype and pilot projects — measurable results are starting to appear.
From Deutsche Telekom, we saw how AI is increasingly automating customer support — particularly voice interactions — while also enabling the use of agents in software development.
The biggest shift is not only efficiency, but speed of innovation, shortening development cycles and allowing teams to explore new ideas much faster.
Ericsson presented deployments where AI is already delivering measurable improvements:
• around 10% increase in spectral efficiency • up to 75% reduction in time and effort required for network optimization
From NVIDIA, the message was clear: scaling AI requires infrastructure evolving at the same pace.
Training and inference demand architectures ready for continuous and rapid change.
One particularly interesting observation:
5G was not born in the AI era — but 6G will be.
From Microsoft, an interesting concept emerged: rethinking ROI not only as Return on Investment, but as Return on Intelligence.
The idea is that the real value of AI lies in its ability to reason over data, processes, and systems, enabling entirely new products, services, and business models.
In this evolving landscape, one theme appeared consistently across conversations:
For telcos, trust is becoming the real currency of the ecosystem.
Security, privacy, and data sovereignty are no longer just compliance requirements — they are strategic capabilities.
A common thread across many discussions at MWC26 was clear: the future of telecom will not be defined only by faster networks, but by how intelligence operates across them.
If these ideas resonate with the challenges your organization is exploring, we would be glad to continue the conversation and exchange perspectives on what comes next.
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