AI Layoff Consulting Firm Lays Off 23 Staff, Files Them Under 'Cognitive Load Reduction'

CHICAGO—AttributeRight LLC, which helps Fortune 1000 companies draft workforce-reduction notices attributing layoffs to artificial-intelligence productivity gains, has eliminated its 23-person documentation staff, attributing the move to artificial-intelligence productivity gains the company's own executives say have not yet been measured.

The firm, founded in 2024 to help HR departments produce "investor-ready language" for AI-driven headcount reductions, processed more than 14,000 individual separation notices for 212 clients over the past two years, assigning each eliminated role to one of 47 proprietary AI Efficiency Buckets — categories such as "Generative Automation," "Cognitive Load Reduction," and "Predictive Backfill Obviation" — selected, executives said, on the basis of which AI tools the client had purchased rather than which ones it had deployed.

The 23 departing AttributeRight employees were each assigned to Bucket 12: Cognitive Load Reduction.

"We give our clients certainty and investor-facing language," said Daniel Frost, AttributeRight's chief operating officer, whose role was among those eliminated Thursday. "Whether the AI has delivered yet is a separate question from whether it is plausible that it eventually will."

The firm's Attribution Engine — a proprietary system that generates Bucket assignments from a client's AI procurement history — produced the recommendation to eliminate the documentation staff in a 4-page report generated in 11 seconds. The report noted that no measurable documentation throughput optimization had been achieved, but assessed the attribution as "auditor-defensible."

An Atlanta Federal Reserve and University of Pittsburgh study released this week found that roughly 90 percent of executives at U.S. public companies said AI had not yet boosted productivity at their firms. AttributeRight's own internal data, reviewed by The Artifice, showed that 91 percent of the workforce reductions it documented over that period cited AI tools the client had not integrated into any workflow.

Asked what the Attribution Engine actually runs on, Frost paused.

"I wrote the reports myself," he said. "The engine is a template."