The Wireless Broadband Alliance (WBA) has released a report outlining an industry-wide perspective for device manufacturers, network operators, enterprise IT, and policymakers on how artificial intelligence (AI) and machine learning (ML) can be integrated across the Wi-Fi ecosystem.
of AI/ML for Wi-Fi: Enabling a scalable and intelligent Wi-Fi ecosystem The report was developed by the WBA AI/ML for Wi-Fi project group and led by Intel along with Airties, Cisco, and HPE.
WBA’s fundamental view is that traditional rules-based management approaches to Wi-Fi technology are no longer adequate, as they are increasingly required to support demanding applications such as enterprise collaboration, industrial automation, immersive media, and AI workloads. This report outlines business benefits such as reduced operational costs, increased reliability and security, and improved user experience.
This report shows how AI and ML are the foundation of Wi-Fi, enabling the transition from reactive troubleshooting to predictive, proactive, and self-optimizing network operations that can manage high-density deployments and real-time performance demands.
Additionally, we highlight how intelligent Wi-Fi has clear business value. AI/ML reduces operational costs (opex), improves reliability and security, and provides a more consistent quality of experience (QoE). The report further claims that AI does not simply reside on the router, but instead combines intelligence from the client, access point, edge, and cloud to deliver the best performance.
However, we also observed that the main bottleneck is data, and that achieving continued success and new use cases using AI/ML within the network requires shared datasets, federated learning, and strong governance models. Fragmentation also remains a major barrier.
The WBA advises that standardization should now focus on frameworks rather than algorithms. He added that interoperability must include data models, telemetry, application programming interfaces, and model lifecycle management. WBA also believes that AI/ML-native Wi-Fi is a long-term technology direction, and that Wi-Fi 8 (IEEE 802.11bn) features such as DBE and MAPC work best when driven by an AI/ML engine.
Commenting on the report, Tiago Rodrigues, President and CEO of the Wireless Broadband Alliance, said, “Wi-Fi is now expected to function like critical infrastructure across homes, businesses, and cities, but operational complexity is rapidly increasing. AI and machine learning are becoming essential to keeping networks reliable, secure, and efficient at scale. Intelligent Wi-Fi “The industry must align around common data, interfaces, and governance so that it can function in a real-world, multivendor environment and deliver value to everyone who uses it.”
Matthew McPherson, Cisco Wireless Chief Technology Officer, added: “As Wi-Fi becomes the primary connectivity technology for mission-critical enterprise applications, the complexity of managing these environments exceeds traditional manual methods.
“This report provides an important framework for the industry to move from reactive troubleshooting to proactive, self-optimizing architectures,” he said. “By leveraging AI and machine learning through interoperable standards, organizations can reduce operational overhead and deliver more resilient, high-quality experiences for every user and device.”
“AI/ML is transforming the future of Wi-Fi, making it a strategic imperative,” said Eric McLaughlin, vice president and general manager at Intel. “We look forward to working with our WBA partners and the broader ecosystem to accelerate that progress and enable self-organizing, proactive, and reliable networks with improved QoE across the industry.”
