Anne Hathaway Warns Against AI-Written Thank You Notes

Actress Anne Hathaway has issued a warning regarding the use of artificial intelligence tools like ChatGPT for crafting job application thank you notes, after personally experiencing the phenomenon while hiring for a recent role. Hathaway recounted that all candidates who submitted thank you notes after their interviews had sent identical messages, which she identified as AI-generated. Initially, she found the first note professional, but the repetition of the exact same wording across multiple submissions quickly revealed the use of AI. This led her to realize that candidates might inadvertently expose their reliance on AI, potentially hindering their job prospects. Hathaway stated, "I was like, ‘Oh, no … I see something I’m not supposed to see.’ So I just want to warn you: If you’re out there thinking that you’re getting away with something, there’s a chance that you might be revealing yourself."

During the interview with Hits Radio, Hathaway's co-star Meryl Streep, who was also involved in the hiring process, emphasized the negative implications of such practices. Streep suggested that receiving numerous identical AI-generated notes would make it impossible for a hiring manager to discern genuine effort or personality from the candidate. She expressed concern that this lack of originality could be a significant deterrent, stating, "So many Anne Hathaways that you’re going to apply to—you just can’t write it yourself." Streep further elaborated on the potential consequences, noting that for a unique or significant opportunity, a lack of personalized effort would be detrimental, and "Nobody on that list gets that job." The sentiment underscores the importance of a thank you note as a personal touchpoint in the job application process, rather than a standardized, automated message.

The pressure to automate aspects of job applications, including thank you notes, is amplified by current economic conditions. Young people are facing an uncertain economy, AI-driven redundancies, and what is described as the worst job market in 37 years. In this challenging environment, candidates may feel compelled to apply to hundreds of roles simultaneously, increasing the temptation to use AI for efficiency. However, Hathaway's experience suggests that employers are becoming adept at identifying AI-generated content, particularly when it lacks personalization and originality. The ease with which AI can produce text means that identical outputs are common, making it easy for discerning individuals to spot. This trend highlights a growing need for authenticity and genuine human effort in professional communication, even as AI tools become more prevalent in the workplace and job search processes. The effectiveness of a thank you note as a tool to stand out and reinforce interest in a position is diminished when it appears to be a generic output from a machine learning model.