Arvind Raman sworn in as NIST director; signals focus on AI standards, semiconductors

<cite index="21-2">Arvind Raman was sworn in on June 30, 2026, as the 18th director of the National Institute of Standards and Technology (NIST) by U.S. Secretary of Commerce Howard Lutnick, after Senate confirmation on May 18, 2026</cite>. <cite index="21-3">Raman comes from Purdue University, where he was dean of engineering</cite>. As NIST director, <cite index="21-2">he will guide the agency's collaborative efforts with industry, academia and other government agencies to develop and apply the technology, measurements and standards needed to create innovative U.S. products and services</cite>.

<cite index="22-1,22-2">During confirmation hearings, Raman prioritized situating American AI policy and metrics as the leading global standard, stating it is "vitally important" that the U.S. lead in global standards-setting so that the country's values are entrenched in AI development</cite>. <cite index="22-3">He also committed to supporting advanced semiconductor chip manufacturing and the Trump administration's AI Action Plan, funding the Manufacturing Extension Partnership program and ensuring NIST oversight programs are operational and transparent</cite>.

<cite index="25-4">Under the CHIPS and Science Act of 2022, NIST administers funds and has committed to investing $20 million to advance artificial intelligence solutions that strengthen manufacturing and cybersecurity</cite>. <cite index="22-4">Under the second Trump administration, NIST's AI Safety Institute has been rebranded as the Center for AI Standards and Innovation, a change that reflects the new focus on light-touch regulations when innovating in AI</cite>.

For AI practitioners and chip designers, Raman's NIST leadership signals a regulatory pivot toward standards-setting and innovation enablement rather than restrictive safety frameworks. His background in advanced manufacturing and semiconductor research positions NIST to actively shape how the U.S. defines AI metrology, benchmarking, and measurement science — areas that directly affect how models and chips are tested, evaluated, and certified. The rebranding from AI Safety Institute to Center for AI Standards and Innovation telegraphs a shift in tone from the Biden era, with implications for how foundation model vendors and chip makers interface with U.S. standards bodies on safety, performance, and responsible deployment.