
Michael Barr
Federal Reserve Governor; described US labour market as 'low hire, low fire' in March 2026.
Last refreshed: 2 May 2026 · Appears in 1 active topic
What does a Fed Governor calling the US jobs market 'frozen' mean for AI's impact on employment?
Timeline for Michael Barr
Fed Governor whose earlier low-hire low-fire description Cook escalated
AI: Jobs, Power & Money: Mentioned in: Fed governor names AI job-loss riskCharacterised US labour market as low hire, low fire in 26 March speech, validating Stanford JOLTS findings
AI: Jobs, Power & Money: Fed Governor Barr: 'low hire, low fire'What did Federal Reserve Governor Michael Barr say about the US jobs market?
What does 'low hire, low fire' mean for the US economy?
Who is Michael Barr at the Federal Reserve?
Background
Michael Barr is a Governor of the US Federal Reserve Board and served as its Vice Chair for Supervision from 2022 until early 2025, when he stepped down from that specific role while remaining a board member. On 26 March 2026, Barr characterised the US labour market as "low hire, low fire" in a public speech, providing official institutional validation for what data analysts had identified as a structural labour-market stasis: near-zero net job creation over the prior year, with hiring and firing both subdued simultaneously.
Barr was appointed to the Federal Reserve Board by President Biden in 2022 and confirmed by the Senate. His academic and regulatory background is in financial regulation, digital payments, and financial inclusion; he is a professor at the University of Michigan Law School. As Vice Chair for Supervision, he oversaw the Fed's bank examination and regulatory framework, including the post-SVB supervisory reforms.
The "low hire, low fire" framing is analytically significant because it distinguishes current labour conditions from both recession (where firing rises) and boom (where hiring rises). It implies a market frozen by uncertainty, possibly structural rather than cyclical, where employers are neither expanding nor contracting aggressively. Applied in the context of AI adoption, the framing aligns with the hypothesis that automation is suppressing hiring without triggering mass redundancies.