Bosses Credit AI Instead of Employees, Delaying Promotions, Raises

Key Points:

• Employees like Aubrey and Deepak face a dilemma in crediting AI tools at work, as managers often assume AI did most of the work, which can undermine employees' contributions and stall career advancement.
• Studies show that disclosing AI assistance frequently leads managers to devalue workers' input, assuming the AI was the primary driver, unless employees clearly specify their own agency and role in the work.
• Companies use AI usage tracking methods like token counts, but these metrics fail to reveal the quality or extent of human versus AI contributions, sometimes encouraging superficial AI use rather than meaningful collaboration.
• Tools like IBM’s AI Attribution Toolkit and Carnegie Mellon’s OpenHands platform aim to provide detailed, standardized ways to credit AI and human contributions, helping clarify responsibility and maintain trust.
• Experts warn that without cultural and organizational changes valuing AI proficiency and clear attribution, employees may hide AI use or feel less ownership of their work, leading to psychological costs and reduced innovation despite increased output.