Monte Carlo cut 30% of its team, and its chief executive says AI lets smaller groups do the work

Monte Carlo, the US data-reliability software company, restructured in March 2026 and "said goodbye to 30% of our team", co-founder and chief executive Barr Moses wrote in a public post about a week later. She gave no headcount, and stressed that the departures had "nothing to do with their talent". Her explanation is about what the remaining staff can now do: "What I've been experiencing is that AI enabling smaller, more focused groups to work faster and more effectively. We've seen it firsthand: PMs shipping prototypes, support closing issues they'd have escalated, SEs shipping features for customers. The productivity unlock is real, and it's accelerating with every new model." The company is now "rethinking roles from the ground up" for what she calls an AI-first company. The examples she chose matter. Each one is a job absorbing work that used to be handed to a different job, which is how a team gets smaller without any single role being replaced.