Federal funding criteria tied to open-standards compliance are reshaping how U.S. manufacturers plan and fund private 5G deployments, compressing timelines for facility retrofits and edge AI integration across mid-size plant networks.
The National Telecommunications and Information Administration (NTIA) has administered the $1.5 billion Public Wireless Supply Chain Innovation Fund - authorized under the CHIPS and Science Act of 2022 - with every grant cycle requiring recipients to advance open, interoperable wireless architecture. The program's third round, which made up to $450 million available, explicitly targeted software solutions built on Open Radio Access Network (Open RAN) interfaces for industry verticals including manufacturing, utilities, and mining. With grant eligibility structured around open-standards adherence, plant operators seeking federal co-funding have had little choice but to assess whether their existing infrastructure - often proprietary, single-vendor 4G or Wi-Fi - can qualify.
Background
The Innovation Fund was established to reduce reliance on a concentrated wireless equipment market in which a small group of vendors, some identified as national security risks, dominate supply. Open RAN - an architecture standardized by the O-RAN Alliance and 3GPP - disaggregates the traditional base station into Radio Unit (RU), Distributed Unit (DU), and Centralized Unit (CU) components communicating over open interfaces. This allows operators to source hardware and software from competing vendors rather than a single supplier. NTIA awarded over $550 million across 35 projects through the first two funding rounds, including $273 million for Open RAN radio unit research and development disbursed in late 2024.
The program has since undergone a significant policy shift. In March 2026, NTIA announced it would not make any awards under the third NOFO, redirecting the fund's remaining $50 million toward AI-native Radio Access Network (AI-RAN) architecture, signaling that open-standards requirements are converging with AI integration as a condition of federal support. NTIA Assistant Secretary Arielle Roth stated the agency plans to launch a new Notice of Funding Opportunity to promote a domestic, exportable AI-native 6G stack.
Details
The grant criteria have functioned as a procurement catalyst for plant-level retrofit decisions. The third NOFO required applicants to develop software solutions leveraging Open RAN interfaces - including the RAN Intelligent Controller (RIC) - to generate productivity gains or cost savings for industry verticals such as manufacturing. For mid-size operators, that requirement is driving architecture reviews that would not otherwise have occurred within current capital planning cycles.
On the factory floor, the operational case for pairing open-standards private 5G with on-premises edge compute is well documented. According to Ericsson, cloud-based processing typically introduces 200 milliseconds or more in latency, while private 5G paired with on-premise edge compute delivers approximately 10-millisecond response times - enabling decisions up to 40 times faster than cloud alternatives. NTT Data Senior Director of Edge AI Paul Bloudoff confirmed the deployment pace has accelerated, stating "we're seeing manufacturers being able to get up to speed and show real world use cases with proven value in weeks, not years." Bloudoff cited Cargill as a concrete example, noting the food processing company has deployed private 5G across more than 50 manufacturing facilities with plans to expand further.
The global industrial AI market reached $43.6 billion in 2024, with compound annual growth of 23 percent projected through 2030, when it is expected to reach $153.9 billion, according to IoT Analytics. Analysts at Dell'Oro Group note that private 4G/5G accounts for a mid-single-digit share of total global RAN sales in 2025, on a trajectory from a low single-digit share in 2022 toward a higher single-digit share by the end of the decade - a narrow but distinctly growing segment of an otherwise flat RAN market.
The manufacturing sector holds the largest share of the private 5G market, driven by Industry 4.0 adoption and the need for real-time automation, machine communication, and predictive maintenance, according to MarketsandMarkets. Vendor partnerships are accelerating the integration of open-standards infrastructure with AI workloads. NTT Data and Ericsson signed a multi-year partnership in early 2026 to deliver private 5G as a fully managed service with consistent architecture globally, with NTT Data Edge AI agents running on Ericsson enterprise edge platforms. Verizon and NVIDIA announced a joint solution in December 2024 combining 5G private networks with Mobile Edge Compute and NVIDIA AI Enterprise software for real-time AI services on enterprise premises.
At the NTIA's March 2026 listening session on AI-RAN, Dell stated it supports demonstrations of AI-native RAN "in private networks and industrial settings, defense, public safety, logistics, manufacturing and energy," with testing intended to allow AI-driven RAN optimization and predictive scheduling to be "rigorously measured" against key performance indicators.
Outlook
The NTIA's pivot from Open RAN grants toward AI-native RAN funding will shape the next procurement cycle for plant operators. Facilities that already meet open-standards requirements under prior grant frameworks will be better positioned to qualify for AI-RAN-linked programs as those notices are issued. The O-RAN Alliance's April 2025 white paper on private 5G networks identifies interoperability and scalability as the principal advantages of O-RAN architecture for industrial deployments, noting that the modular, open design allows easy integration with existing IT and operational technology systems. Manufacturers evaluating retrofit ROI should expect open-standards compliance to remain a baseline requirement - not a differentiator - as federal funding increasingly ties wireless infrastructure investment to AI-layer capability.
