Ericsson and Intel Partner for AI-Native 6G
Ericsson and Intel have announced a collaboration to accelerate the development of commercial AI-native 6G networks. The partnership will span compute, connectivity, and cloud infrastructure across the core network, RAN, and Edge, aiming to create a more open path from research to deployment.
This partnership deepens a long-standing relationship, aiming to integrate AI as a foundational component of 6G, rather than a feature "bolted on" after the fact as with 5G. The goal is to create a network that can autonomously manage, operate, and even create services for itself, adapting in real-time. This "AI-native" approach is designed to handle the complexity and high-bandwidth traffic from future AI and LLM applications that traditional architectures struggle with. The collaboration will focus on developing an open and programmable network, a strategic shift from the more closed, proprietary systems of the past. By using Intel's advanced processing nodes for future Ericsson silicon, the partnership aims to create a more cost-effective and flexible path from research to commercial deployment for network operators. This aligns with broader industry trends and the UK's own 6G strategy, which emphasizes open networks to foster innovation. For the UK, this move is part of a larger push to shape global 6G standards, backed by an initial £100 million government investment in 6G research. The UK's telecom regulator, Ofcom, is already preparing for this future by proposing a pioneering spectrum-sharing plan for the upper 6 GHz band, allowing mobile and Wi-Fi services to coexist to boost capacity for both and support future 6G innovations. The transition from a hands-on engineering lead to a strategic CTO involves a fundamental identity shift from "doer" to "leader." Success in the role, especially in a scaling SaaS company, is less about personal coding output and more about building teams, processes, and an architecture that allows the entire organization to ship value faster. This requires moving from solving purely technical problems to aligning technology decisions with business outcomes, investor relations, and go-to-market strategies. In the adtech space, this infrastructure evolution will intersect with a maturing programmatic landscape focused on efficiency and new data models. With third-party cookies being replaced by first-party data and alternative IDs, the industry is shifting towards contextual targeting and privacy-compliant measurement. AI is already central to this, driving smarter bidding and optimization, a trend that will only accelerate with the capabilities of 6G. Enterprise workflows are increasingly being reshaped by AI agents that go beyond simple automation to handle complex processes autonomously. These "digital employees" can orchestrate tasks across multiple systems, from procurement to HR, adapting in real-time and learning from interactions. For CTOs, harnessing this agentic AI is becoming a competitive necessity to manage complexity and scale operations without a proportional increase in headcount. Following pre-season testing, the FIA has announced it will revise a controversial rule concerning engine compression measurements, a key point of contention among teams like Mercedes heading into the 2026 season. Meanwhile, Lando Norris enters the new season focused on defending his first driver's championship title.
