NIST Awards $30M to Help Small Manufacturers Deploy Automation
Twelve Manufacturing Extension Partnership centers will bridge the gap between available technology and the 98% of U.S. manufacturers who struggle to adopt it.

The United States faces a paradox in manufacturing automation: the technology exists and works, but most manufacturers cannot deploy it effectively. The National Institute of Standards and Technology is now investing more than $30 million to address that implementation gap.
NIST has awarded funding to 12 Manufacturing Extension Partnership centers spanning 11 states and Puerto Rico. The centers will focus specifically on helping small and medium-sized manufacturers adopt advanced manufacturing technologies including artificial intelligence, robotics, automation, and additive manufacturing, according to Automation Watch.
Why it matters
Small and medium manufacturers represent 98% of the U.S. manufacturing base, yet they lack the engineering resources and capital-planning infrastructure that large plants use to evaluate and deploy automation. Without targeted support, proven technologies remain concentrated in the largest facilities while thousands of smaller operations continue manual processes—limiting productivity gains across the broader industrial economy.
The Infrastructure Problem
Large manufacturers typically maintain dedicated controls engineers, manufacturing engineers, IT departments, and relationships with systems integrators. They have established processes for evaluating technology and moving it into production.
Smaller operations work differently. The same evaluation, integration, training, and maintenance responsibilities often fall on a handful of people who also manage daily production. That structural difference creates a deployment barrier even when the technology itself is mature and affordable.
The Manufacturing Extension Partnership already operates nearly 1,400 manufacturing advisers through more than 450 service locations. These centers work with manufacturers on process improvement, workforce development, and technology transfer. The new funding pushes that mission directly into advanced automation deployment.
Where the Money Goes
Pennsylvania's IRC Network received approximately $6.11 million, the largest individual award. Ohio Manufacturers Association's Educational and Industrial Development Institute received $6.08 million. Georgia Tech Research Corporation received $3.23 million, Massachusetts Manufacturing Extension Partnership received $2.96 million, and the University of Missouri received $2.66 million.
Additional awards went to organizations in Alabama, Arkansas, Louisiana, Montana, Puerto Rico, Utah, and Vermont. Recipients must secure nonfederal matching funds of at least 50%, effectively doubling the total investment.
Beyond the Pilot Project
NIST is requiring centers to develop technology-adoption metrics that can be shared across the MEP network. This requirement addresses a persistent measurement problem: distinguishing between experimentation and sustained adoption.
A manufacturer installing its first collaborative robot represents initial interest. Whether that installation leads to a second robot, expansion to another production line, or integration into standard processes indicates actual adoption. The difference matters for understanding which technologies are spreading across the manufacturing base and where deployment efforts stall.
What Comes Next
The September awards cover the first year of cooperative agreements that can extend up to five years. Future funding depends on available resources, annual performance reviews, and alignment with MEP, NIST, and Department of Commerce priorities.
Two states remain unaddressed. NIST made no selections for Alaska or California in this round. Another competition for those states is planned for early 2027, with cooperative agreements expected to begin April 1, 2027.
The program's success will ultimately be measured not by workshops or assessments, but by how many manufacturers put these technologies into sustained production use and generate measurable operational improvements.
Details were first reported by Automation Watch.
This is an original analysis by the Omega editorial team. Source reporting: Automation Watch.
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