5G Americas

AI-native 6G is taking shape. NVIDIA and industry leaders are developing AI-driven network architectures to enable real-time automation, spectrum optimization, and advanced workload orchestration. As AI and 6G converge, intelligent, self-optimizing networks will define the next phase of telecom evolution. https://lnkd.in/gXXMgYS3

5G is transforming rural broadband. Expanded coverage in Upstate New York is delivering high-speed connectivity for businesses, schools, and local economies. As 5G rollouts continue, network infrastructure investment will be critical in ensuring equitable digital access for underserved communities. https://lnkd.in/grMuRVrS

AI-native telecom is no longer a concept—it’s here. GenAI is driving network automation, predictive maintenance, and customer engagement, but industry leaders are balancing scalability, security, and cost efficiency. As AI integration deepens, ensuring trust and transparency will define its long-term impact. https://lnkd.in/gCaS_TSD

eSIM technology is unlocking new opportunities for IoT scalability. Kigen’s approach prioritizes security, interoperability, and simplified deployment, making it easier for enterprises to adopt secure, future-ready IoT solutions. As IoT adoption grows, eSIM innovation will play a crucial role in enabling global, seamless connectivity. https://lnkd.in/gw9F7kM7

Open RAN is evolving beyond experimentation. Qualcomm highlights key advancements in energy efficiency, network intelligence, and multi-vendor interoperability, positioning Open RAN as a scalable, high-performance alternative to traditional RAN. As adoption increases, the focus remains on optimization, security, and real-world deployments. https://lnkd.in/gcpEg3Ms

Cable monopolies have influenced laws in 20+ states that restrict municipal broadband, blocking public networks that could provide faster, lower-cost service to underserved communities. Instead of competition, they push policy roadblocks. Consumers deserve better broadband options. https://lnkd.in/gdB56UCp

SoftBank and Tech Mahindra’s large telco models aim to improve network intelligence, automation, and customer engagement. AI-powered solutions are driving efficiency in predictive maintenance, traffic management, and service orchestration, enabling telecoms to scale operations effectively. https://lnkd.in/e87biGik

NVIDIA’s AI-driven 6G collaborations with T-Mobile US, MITRE, and research institutions aim to improve network automation, spectrum efficiency, and real-time decision-making. AI-native architectures will be a defining feature of next-generation networks, accelerating advancements in wireless intelligence. https://lnkd.in/gYTXVciN

5G Standalone deployments are gaining momentum, unlocking network slicing, ultra-low latency, and scalable enterprise solutions. As operators refine monetization strategies, focus areas include private 5G, cloud-native architectures, and enhanced service differentiation for industry verticals. https://lnkd.in/grfyRXrJ

Edge computing faces interoperability and performance constraints, but Qualcomm’s software-focused approach aims to streamline deployment. By integrating AI-driven optimization, lower-latency processing, and cloud-native frameworks, the company is working to enhance scalability and efficiency at the network edge. https://lnkd.in/gfWvbvDr