New CTIA Report Warns U.S. Must Expand Spectrum to Lead AI and 6G Economy
Key Highlights
- CTIA’s report says the integration of AI and wireless networks is driving the rise of “physical AI,” enabling robots, drones, and intelligent systems to perform real-world tasks across industries.
- AI-related traffic is growing three times faster than overall wireless traffic, and AI is expected to account for nearly 30% of broadband traffic by 2034.
- CTIA warns that one-third of AI traffic demand in high-traffic areas could go unmet within a few years, potentially creating a $1.4 trillion economic impact.
CTIA, the wireless industry association, released a new report, Wireless & AI: Driving the Future of Innovation, detailing how two of America’s largest infrastructure investments—wireless connectivity and artificial intelligence—are coming together to shape the next generation of technology and economic growth. The report emphasizes the need for a coordinated national strategy to maintain U.S. leadership in innovation.
According to the report, AI is rapidly expanding beyond data centers and into everyday environments. Within two years, an estimated 75% of smartphones will feature AI capabilities, while the combination of AI and advanced wireless networks is accelerating the rise of “physical AI”—systems that can perform real-world tasks autonomously.
This evolution is expected to transform industries across the economy, enabling robots, drones, and intelligent machines to work alongside people in manufacturing, healthcare, logistics, and public safety.
"AI and wireless are converging, and physical AI—where AI doesn't just answer questions but takes action in the real world—is where everything changes," said Ajit Pai, President and CEO of CTIA.
"To lead this next era, America needs larger, contiguous blocks of mid-band spectrum, more infrastructure, and a unified national approach. The countries that understand this convergence and act on it will lead the next generation of innovation," continues Pai.
The report notes that demand for connectivity is accelerating rapidly. The U.S. experienced its largest-ever increase in wireless traffic last year, while AI-related traffic is growing three times faster than overall wireless usage. By 2034, AI is projected to account for nearly 30% of all broadband traffic.
Without additional investment and policy action, the report warns that up to one-third of AI traffic demand in high-density areas could go unmet within the next several years—potentially creating a $1.4 trillion economic drag on U.S. growth and AI competitiveness, according to Accenture.
To meet rising demand, wireless and AI technologies are evolving together. Current wireless networks are already achieving efficiency gains of roughly 30%, and new AI-native 6G networks are expected to deliver even additional improvements in both connectivity and AI performance.
The report calls for a unified national strategy focused on several key priorities, including:
- Accelerating implementation of the 800 MHz spectrum pipeline authorized by Congress, including the FCC’s planned 2027 C-Band auction and progress on the 2.7 GHz band to address near-term capacity needs.
- Prioritizing the 4 GHz and 6/7 GHz bands for future licensed use to support the large, contiguous spectrum blocks required for 6G deployment.
- Replacing fragmented state-by-state permitting processes with nationwide standards to streamline wireless and AI infrastructure deployment.
- Supporting infrastructure expansion with investment-friendly tax policies.
The report concludes that decisions surrounding wireless and AI infrastructure are not only technological priorities, but also critical economic and national security issues that will shape America’s role in the global AI economy.
Source: CTIA
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