Ericsson is rebuilding cellular infrastructure around AI-native network architecture to support agent traffic as machine-to-machine interactions outpace human mobile data consumption.
With 5G networks active across 180 countries and serving more than three billion subscriptions, the Swedish vendor is directing operators towards an automated framework capable of real-time perception, prediction, and execution.
Erik Ekudden, CTO at Ericsson, said: “The intelligent fabric is to the AI economy what best-effort mobile broadband service was to the internet economy in the past: the connective layer that makes everything else possible, and the differentiator that determines who leads and who follows.”
Networks previously prioritised downlink speed for consumer browsing. Next-gen systems must instead manage continuous, bidirectional communication from autonomous software agents, connected sensor arrays, and industrial equipment.
Commercial models are transitioning from conventional consumer relationships to automated business-to-agent transactions. In this environment, autonomous programs procure connectivity, negotiate network attributes, and execute tasks without direct human supervision.
Initial commercial deployments scheduled for 2026 will introduce humanoid robots into controlled manufacturing and logistics facilities. These machines offload heavy spatial vision and motion algorithms to 5G edge infrastructure, which demands low round-trip latency and continuous uplink capacity.
Deploying custom silicon for AI agent traffic
Running real-time AI algorithms across distributed radio networks demands purpose-built processing hardware. Standard commercial processors generate prohibitive power draws when running parallel wideband beamforming on Massive MIMO antenna arrays.
Ericsson tackles this restriction through its proprietary Many-Core Architecture and dedicated silicon. Hardware engineers placed specialised tensor processing cores and baseband processors directly on radio units to execute local neural inference.
This distribution of compute allows operators to process radio tasks at microsecond latencies. Rather than backhauling bulk telemetry to centralised server farms, radio base stations evaluate operational data directly at the perimeter.
Ericsson backs standardised APIs through the Linux Foundation’s Agentic AI Foundation. Software agents consume these machine-readable interfaces to purchase dynamic quality-of-service tiers and verify machine credentials programmatically. Telecom revenue models therefore hinge on intent-based outcomes rather than passive bandwidth delivery.
Post-quantum cryptography across telecom standards
Security models across mobile networks face simultaneous exposure from automated threat exploits and future quantum decryption. Hostile actors currently harvest encrypted telecoms traffic with the objective of decrypting payloads once quantum computers reach scale.
Following publication of the initial three quantum-resistant algorithmic standards by the National Institute of Standards and Technology in 2024, Ericsson confirmed complete post-quantum cryptography support within initial 6G specifications.
Vendor timetables outline specific deadlines for communication service providers. High-priority systems must deploy quantum-resistant algorithms by 2031, followed by complete network migration across all operating domains by 2035. Working alongside groups within the 3GPP, the Open RAN Alliance, and the GSMA, the supplier is weaving quantum defences directly into the ongoing 5G evolutionary cycle.
Parallel research tracks are formalising Integrated Sensing and Communication standards within 3GPP. This capability repurposes existing base station antennas and radio spectrum to map physical environments. Cellular installations thereby double as radar-grade sensor grids for industrial collaborative robots and municipal monitoring.
“The intelligent fabric will be shaped through deep collaboration across communication service providers (CSPs), enterprises, developers, governments, and academia, all aligned on a common architecture and a shared direction,” concludes Ekudden.
Decisions agreed over the next three years will establish whether service providers deploy these open, intent-driven platforms ahead of commercial 6G availability.
See also: Cisco: Agentic AI takes control of enterprise networks
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