Jennifer Walsh, a 34-year-old marketing manager at consumer goods company BrandFlow Solutions, learned this week that her direct reports have been collectively using ChatGPT to write her performance evaluations since last March, creating what industry experts are calling "the most elaborate feedback automation scheme in corporate America."

The discovery came to light when Walsh noticed that all five of her team members had submitted identical phrases praising her "synergistic leadership paradigm" and "best-in-class human capital optimization." A subsequent investigation revealed that the team had been feeding Walsh's Slack messages, meeting transcripts, and project deadlines into Claude, then asking it to generate "generic but positive manager feedback that sounds like real employees wrote it."

"The AI actually gave me better reviews than I've ever gotten from real humans," Walsh told reporters. "It called me 'an inspiring beacon of cross-functional excellence' and said I 'foster an environment of sustainable innovation velocity.' I was genuinely excited about my career trajectory for the first time in years."

Dr. Angela Morrison, workplace psychology researcher at UC Davis, said the case represents a growing trend of employees outsourcing emotional labor to AI systems. "We're seeing this across performance reviews, thank-you notes, birthday cards, and even resignation letters," Morrison explained. "The irony is that AI-generated feedback often sounds more thoughtful than what busy humans actually produce."

Walsh's team lead, Marcus Chen, defended the practice as "efficiency optimization." "Jennifer's a fine manager, but writing performance reviews is nobody's favorite part of the job," Chen said. "The AI captured our general positive sentiment while saving us each about two hours of writer's block and corporate-speak translation."

BrandFlow's HR department has not yet decided whether to discipline the team, as the AI-generated reviews technically contained no false information and resulted in Walsh receiving a 12% merit increase. Walsh herself has requested that future reviews continue to be AI-assisted, "but maybe with a little more variety in the vocabulary."