I’m sure they’re happy with the reduced costs from firing half the employees, but to not consider the potential issues and actually vet the quality was such a bad decision

Kind of becomes irrelevant when the initial reduced costs were probably decimated by secondary costs they hadn’t even considered, for example, time wasted by remaining employees now burdened with correcting the AI’s mistakes.