Wireless connectivity sits in the background—the invisible infrastructure that keeps businesses running, cities functioning, and workers connected. Organizations are testing and deploying AI tools, expanding connected devices, and rethinking how work gets done in increasingly data-heavy environments. Enabling organizations and public bodies to deploy these technologies is critical for the EU to achieve its ambitious digital transformation by 2030. Cisco’s 2026 State of Wireless report, which surveyed 6,098 wireless decision-makers across 30 countries, including France, Germany, Italy, the Netherlands, Poland and Spain, offers a compelling evidence base. Wi-Fi has become a substantive driver of business performance. More than three quarters of organizations report operational efficiency gains from wireless investments, 75% register measurable improvements in employee productivity, and 68% experience positive revenue impacts. Wireless infrastructure is no longer a commodity input. It is a strategic asset. But as connectivity demands outpace current capabilities, Europe finds itself at a critical momentum. AI Is driving Wi-Fi demand. Infrastructure is struggling to keep up. The primary driver of wireless investment across all markets surveyed is AI. Organisations deploying AI workloads are significantly more likely to regard wireless as strategically critical, 62% versus 46% among the broader survey population, and those that integrate wireless modernisation into their AI deployment strategies achieve measurably stronger returns across every business dimension. AI is only as powerful as the network that supports it. This interdependence is pushing legacy infrastructure to its breaking point. While only 19% of organizations currently utilize Wi-Fi 6E or 7, 59% plan to upgrade within the year to meet the high bandwidth demands of AI, AR, and IoT. Cisco’s telemetry confirms this momentum, recording a 23% surge in 6E/7 deployments in late 2025. The payoff is clear: organizations leveraging the 6 GHz band are nearly twice as likely to successfully deploy AI workloads (45% vs.