无线&；AI：推动创新的未来
Driving the Future of InnovationWireless & AI “The next generation of mobilecommunications networks (6G)will be foundational to the nationalsecurity … of the United States.This technology will play a pivotalrole in the development andadoption of emerging technologieslike artificial intelligence…” — PRESIDENT DONALD J. TRUMP(DECEMBER ) Executive Summary Wireless and AI are rapidly evolving together with greater reliance upon the other to drive futureinnovation. To secure U.S. leadership, policymakers should view these technologies through thelens of one unified strategy. AI requires wireless networks to move data, help coordinate real-timedecisions, and operate effectively with the physical world. In turn, wireless networks rely on AI tomanage the surging complexity and record traffic driven by AI’s own insatiable data demands.This convergence should inform our nation’s wireless and AI strategy. Taken together, it is now clear that AI traffic will strain existing wireless networks before the decadeis out with huge new data needs, entirely new traffic patterns, and novel demands on wirelessnetworks to do more than simply carry traffic. Accenture cautions this could be a $1.4 trillion dragon the U.S. economy if this bandwidth bottleneck is not addressed expeditiously.1 Meeting the connectivity demands of our AI future will require new spectrum—larger, contiguousblocks across key mid-bands—and investment-friendly policy that enables both AI and wirelessinfrastructure to be built at the industrial scale of our AI ambitions. It will also require emerging 6Gnetworks to be AI-native from the ground up with embedded intelligence to dynamically allocatespectrum, anticipate congestion, sense the physical environment, coordinate edge-computeworkloads, and secure devices—all at machine speed. The country that leads the AI and wirelessconvergence will control the innovation platform of the future. AI Is Moving Out of the Data Center AI did not start in your pocket. It started in research labs with scientists training models onspecialized hardware, refining algorithms far from everyday use. Large language models changedeverything. AI moved out of the lab and into massive data centers, and suddenly anyone coulduse it—to answer questions, generate content, and build new services. But that was just thebeginning. AI agents are now learning to plan, reason, and act—operating autonomously withminimal human oversight. Some of these agents are already on your smartphone, with more tocome. The next step will be even more transformative: AI will move into the physical world. Wireless Will Be More Than Talk,Text, and Data Wireless networks are also evolving. Earlynetworks carried voice. Then text. 3G put theinternet in your pocket. 4G made smartphonesthe center of daily life—streaming, apps, andalways-on connectivity became the norm. 5Gpushed further, expanding beyond phonesto home broadband, connected vehicles,industrial equipment, and smart infrastructure.5G Advanced is now driving this first wave of AIinnovation. All of this is prologue to a new AI-native platform. That’s 6G. 6G is being designedfor what comes next: a world where intelligentdevices, physical sensors, and digital services allneed to talk to each other instantly, reliably, andat massive scale. We are re-imagining wirelessnetworks for AI with AI. Ultra-Low LatencyHuman-precision control from anywhere Integrated SensingFleets that see and decide together Distributed IntelligenceFactories that fix themselves Machine-to-MachineConnectivityDrones that help disaster response Physical AI: Where Wireless Convergence Happens Physical AI isn’t a future concept. It’s already taking shape. AI will go from agents doing tasks inthe digital world to completing real-world tasks alongside us. Integrated wireless sensing willhelp robots perceive and coordinate across entire fleets in real time. Distributed intelligenceacross device, network edge, and cloud will allow industrial facilities to predict failures and adjustproduction without stopping the line. Direct machine-to-machine (M2M) coordination will allowemergency drones to respond to disasters with situational awareness. What these systems will allshare is a reliance on advanced wireless connectivity with no margin for error. “We want AI to develop in the U.S. … , but todo that, we must make sure that it works onour mobile networks. … We have to have thespectrum [and] the necessary infrastructureso that AI can be mobile.” — BRENDAN CARRCHAIRMAN, FCC AI Is Driving Unprecedented Wireless Demand As AI moves beyond the data center, it is generating data at an unprecedented scale. The U.S.recorded its largest ever year-over-year jump in wireless data traffic last year,2and AI is acceleratingthat trend. Images, video, sensor readings, telemetry—AI workloads are data-intensive by nature.As AI embeds deeper across industries and households, that load will increase exponentially evenas on-device AI processing gr
