Intel and Ericsson Partner Up to Accelerate AI-Native 6G Networks
"6G is the infrastructure that will distribute AI across devices, the edge and the cloud."
Intel and Ericsson announced an expanded partnership on March 2 at Mobile World Congress Barcelona 2026 aimed at accelerating the telecommunications industry's transition to sixth-generation wireless networks built around artificial intelligence.
The collaboration extends a relationship spanning multiple decades and focuses on developing the compute infrastructure, connectivity systems, and cloud platforms required for commercial 6G deployments.
Ericsson, with a market capitalization around $38 billion, ranks among the three largest telecommunications equipment vendors globally alongside Nokia and Huawei.
The company primarily serves wireless carriers but is expanding its reach into enterprise markets by leveraging 5G network capabilities and cloud-based communications platforms.
The partnership targets several technical layers including radio access networks, packet core systems, edge computing environments, and security frameworks.
The companies plan to coordinate work on standards development and ecosystem readiness to help operators deploy AI-native networks rather than retrofitting intelligence onto existing architectures. Both the company booths demonstrated joint technology development at the Barcelona event.
Shifting from Research to Deployment
Börje Ekholm, President and CEO of Ericsson, positioned the initiative as a shift from incremental network upgrades to fundamental infrastructure redesign.
"6G is not merely an iteration of mobile technology," Ekholm said. "It is the infrastructure that will distribute AI across devices, the edge and the cloud. Ericsson's long history of network innovation and large-scale operator deployments positions us to lead practical integration across the value chain and move 6G from research into commercial reality."
Sixth-generation wireless standards remain under development through global standards bodies, with commercial deployments expected in the early 2030s. The technology is designed to support higher data rates, lower latency, and greater device density than current 5G systems.
The distinguishing characteristic of 6G architectures discussed by industry groups is native integration of machine learning and AI processing throughout the network stack rather than bolting intelligence onto systems designed without it.
Lip-Bu Tan, CEO of Intel, outlined the company's technical priorities within the partnership. "Intel's ambition is to be the undisputed technology leader in unifying RAN, Core and edge AI to enable a seamless transition to AI-native 6G environments," Tan said. "Together with Ericsson, we will continue to demonstrate that the future of network connectivity is open, power-efficient, secure and grounded in intelligent AI inference."
The emphasis on "open" connectivity refers to network architectures built on standardized interfaces that allow telecommunications operators to deploy equipment from multiple vendors within the same infrastructure.
This approach, commonly known as Open RAN, reduces operator dependence on single suppliers, lowers total deployment costs, and creates opportunities for smaller equipment providers to compete alongside traditional vendors.
The collaboration addresses compute efficiency and performance for AI workloads distributed across network infrastructure. This includes processors optimized for inference tasks at cell sites and edge locations, as well as architectures that handle both traditional network processing and machine learning operations on shared hardware.
Intel's Xeon processors will power cloud RAN implementations, while future Ericsson silicon will be manufactured using Intel's semiconductor process technology.
AI for Networks and Networks for AI
The companies describe their work as targeting two complementary objectives. The first involves using AI to optimize network operations, such as dynamically allocating radio resources, predicting traffic patterns, and automating infrastructure management.
The second addresses building networks specifically designed to support AI applications running on devices and in cloud environments, treating compute and connectivity as integrated rather than separate layers.
This architectural approach differs from current mobile networks where computing happens primarily in data centers or on end-user devices. Future systems would distribute processing across the infrastructure itself, using radio equipment and edge servers as computational resources.
The vision includes network-native sensing capabilities where infrastructure can detect and respond to environmental conditions, not just transmit data between endpoints.
Ericsson and Intel have collaborated on cloud-based radio access network deployments and 5G core infrastructure over the past several years. The expanded 6G partnership builds on this foundation while addressing new requirements around energy efficiency, open interfaces, and AI integration.
Standards bodies including 3GPP are expected to begin formal 6G specification work in the coming years, with the technology targeting commercial launch in the 2030-2032 timeframe.