Researchers Demo Agentic AI for Radio Access Networks

- The "Large Telecom Model" (LTM) is a generative AI foundation model trained on vast datasets from SoftBank's network, designed to understand and execute complex network operations from high-level natural language instructions. This approach aims to reduce workflow times from days to minutes, a significant decrease in operational time and cost. - An AI-Radio Access Network (AI-RAN) integrates AI deeply into the mobile network's radio access layer to enhance performance, improve spectral efficiency, and automate management. This technology represents a strategic shift from simply automating tasks to creating a fully autonomous, intelligent network fabric capable of self-optimization and healing. - The demonstration at MWC Barcelona 2026 is a product of the AI-RAN Alliance, a consortium that includes founding members like NVIDIA, Amazon Web Services, Ericsson, Nokia, and T-Mobile, indicating a broad industry push toward AI-native wireless networks. This collaboration focuses on integrating AI to improve network efficiency, lower power consumption, and open new revenue streams as 5G and 6G technologies evolve. - For engineers in NYC, the rise of agentic AI is creating a demand for new skills, with local companies like Assembled, Eulerity, and Hunch actively hiring for roles in AI and automation. The city's tech scene includes a growing number of startups focused on vertical AI applications, from AI-powered copilots for psychiatry at Blossom to AI agents for power projects at Paces. - NYC's venture capital landscape is actively funding AI-native startups. Insight Partners and Thrive Capital are notable late-stage investors, while firms like First Round Capital focus on seed-stage companies. Recently, AI accounting startup Basis, headquartered in NYC, raised $100 million in a Series B round, demonstrating significant investor confidence in AI agent applications for specific industries. - Engineers looking to build on the side can draw inspiration from indie hackers who have successfully transitioned from employee to entrepreneur. One developer, after growing a Twitter following, generated $577,000 in a week-long presale for a CSS course. Another software engineer in NYC detailed earning an additional $2,000 a month by building AI agents for small businesses in just 6-8 hours of work per month. - Practical blueprints for transitioning from enterprise to startup often involve starting with a side project to gain traction before leaving a full-time role. One founder launched their first successful side project in 2019 while still employed, eventually leaving their Head of Software role in 2024 to focus on a new venture full-time. This path allows for product validation and revenue generation, de-risking the leap into full-time entrepreneurship. - The development of agentic AI is not limited to network optimization; it's also being applied to create entirely new services. At MWC Barcelona 2026, companies like Nokia are showcasing how AI agents can enable on-demand network slicing for premium 5G services at mass events or for emergency first responders. This highlights a move from using AI as a cost-saving tool to a revenue-generating one.