Company cuts staff, then rehired a former economist amid AI-driven restructuring

During a May redesign, Syndio dismissed a number of employees, among them Jonathan Vidales, a labor economist who had spent five years with the firm. The company simultaneously redefined existing roles, demanding greater output and higher earnings potential, assuming staff would accept the changes without question. However, the aggressive push for efficiency in the AI era led to several unexpected resignations, revealing a loss of critical expertise.

In August, Vidales reapplied for a newly created position and was rehired, noting the cold tone of the original layoff email as a missed opportunity for empathy. The experience mirrors a wider pattern where U.S. employers reported tens of thousands of AI-linked cuts, only for a third of those positions to be reinstated later, according to a Robert Half study. Commentators like Julie Averill have warned against “AI washing,” where companies blame technology for reductions that may not be necessary. The author concludes that retaining institutional knowledge and investing in employee upskilling are essential as firms navigate AI-driven transformations.