NEWS
CTIA calls for unified AI and wireless strategy to secure US innovation leadership
CTIA has warned that the convergence of wireless technology and Artificial Intelligence will determine the future of US innovation leadership – as demand for AI-driven connectivity accelerates across the economy.
The wireless industry association released a new report, Wireless & AI: Driving the Future of Innovation, outlining how AI and wireless infrastructure are evolving together to support emerging technologies including autonomous robots, drones and intelligent public safety systems.
Ajit Pai, President and CEO, CTIA, said physical AI, where AI systems actively perform tasks in the real world, will redefine industries and increase pressure on national wireless infrastructure.
The report said AI is rapidly moving beyond data centres into consumer devices and industrial operations. Within two years, 75 % of smartphones are expected to be AI-powered while AI traffic is forecast to grow three times faster than overall wireless traffic.
CTIA said AI could account for 30 % of all broadband traffic by 2034, creating significant strain on existing networks. According to Accenture, failure to expand wireless capacity could leave one-third of AI traffic unmet in high-demand areas, resulting in a potential US $ 1.4 trillion economic impact.
The association called for larger blocks of mid-band spectrum, nationwide infrastructure permitting standards, accelerated spectrum auctions and investment-friendly tax policies to support future AI-native 6G wireless networks.
IBM study warns Canada’ s AI governance is failing to keep pace with adoption
Canadian organisations are accelerating Artificial Intelligence adoption faster than they can govern it, according to a new IBM study warning that oversight gaps are creating growing risks around accountability, operational control and digital sovereignty.
The IBM Institute for Business Value, working with the Dubai Future Foundation, surveyed more than 1,000 senior leaders across 20 countries and 21 industries, including Canada. The research found that 63 % of Canadian executives believe governance gaps are already making it harder to scale AI deployments across day-to-day operations.
Manav Gupta, Vice President and CTO, IBM Canada, said organisations cannot govern systems they cannot fully see or understand.
He said AI platforms are increasingly operating like critical infrastructure across healthcare, transport, financial services and public programmes, raising concerns about trust, accountability and sovereignty.
The study found only 18 % of Canadian organisations currently have coordinated governance systems spanning the full
AI lifecycle. IBM said orchestration-led governance can reduce operational risks, improve productivity and deliver stronger returns on AI investment while supporting transparent oversight and enforceable Digital Transformation strategies.
IBM also promoted its Sovereign Core platform, designed to help enterprises and governments build AI-ready sovereign environments with controls, visibility into system behaviour and management of updates, access and compliance requirements as regulators increase scrutiny of AI deployments in Canada.
IBM estimated that AI irregularities, including bias, duplication, deployment errors and uncoordinated systems, cost large Canadian enterprises around US $ 144 million annually. Half of those losses were linked to governance failures rather than flaws in the AI technology itself.
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