For the second consecutive month, companies named artificial intelligence as the reason for more U.S. job cuts than any other single cause.
Challenger, Gray and Christmas tracked 21,490 announced job cuts attributed to AI in April 2026, representing 26 percent of all cuts that month. Through the first four months of 2026, AI has been cited as the driver behind 49,135 announced cuts. That figure represents 16 percent of every layoff plan filed this year in the United States. This is not a spike. It is a pattern with four months of consistent confirmation.
The same week this data published, Colorado’s Governor Polis signed SB 26-189, scaling back the state’s landmark artificial intelligence law and delaying enforcement to 2027. Many organizations interpreted the signing as a reprieve. It is not. Colorado’s original law required employers to conduct risk assessments, maintain AI impact documentation, and build human oversight structures for high-risk AI systems. SB 26-189 narrowed those requirements to disclosure and transparency obligations. But the Caremark doctrine did not move with the statute. Delaware directors who consciously fail to establish reporting systems for known, material workforce risks face personal liability exposure independent of what Colorado chose to require. The enforcement environment that matters for boards is not the one that just got softer.
The question every senior leadership team should turn over this week: does your governance architecture distinguish between what a state statute requires and what a Delaware court would require? If the answer is “our lawyers are watching the legislation,” the architecture does not yet exist.
Challenger, Gray and Christmas, April 2026 Job Cut Report. Colorado SB 26-189, signed May 14, 2026. Caremark International Inc. Derivative Litigation, 698 A.2d 959 (Del. Ch. 1996).