Ericsson and Google Cloud launch AI-driven 5G core as a service

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Ericsson and Google Cloud launch a collaborative 5G core network platform using AI to streamline telecom operations. The new model offers telecoms providers a cloud-native way to deploy, scale and manage networks without owning full infrastructure. What happened: Ericsson and Google Cloud launch AI-powered 5G Core as a Service for telecom modernization Ericsson and Google Cloud have unveiled a joint initiative offering 5G Core as a Service, combining Ericsson’s telecom expertise with Google Cloud’s infrastructure and AI capabilities.

The partnership delivers a carrier-grade, cloud-native 5G core network built from the ground up with automation and AI. The companies announced the news via a press release on 11 June 2025. The solution aims to help telecom operators modernize their networks faster, reducing the need for upfront hardware investment and internal software development. The platform will be offered as a managed service, where Ericsson runs the core functions and Google Cloud provides scalable compute and storage layers. It also includes built-in observability and analytics to detect and fix network issues.

According to Ericsson’s Chief Strategy Officer, Fredrik Jejdling, the offer enables “AI-powered telecom services” by design. The model has been tested with several operators but is now being positioned for broader availability. Also read: Ericsson and Supermicro boost Edge AI with 5G Also read: BT partners with Google Cloud to enhance AI deployment Why it’s important The collaboration marks a notable shift in how telecom infrastructure is delivered and managed. Traditional 5G core deployment models demand long lead times, proprietary hardware, and significant local integration.

By contrast, network-as-a-service models allow smaller or regional carriers to access modern infrastructure through subscription-style plans, lowering the entry barrier and boosting agility. Telecom providers are increasingly adopting cloud-native solutions as they prepare for more dynamic traffic loads and emerging service types like network slicing. Embedding AI from the start also reflects a trend seen across the industry. As noted by ABI Research, automation will be key to managing future network complexity, especially with 5G and edge computing expanding.

Critics of cloud-based cores point to data sovereignty risks and dependence on large cloud platforms. However, the benefits in operational efficiency and upgrade cycles are likely to appeal to cost-sensitive operators navigating competitive pressure and shrinking margins.