Employers are increasingly using AI to monitor and track employees' online activities, including social media, past employment, and even how they interact with AI tools. This enhanced surveillance capacity means that attempts to hide information or present a false online persona can now be easily uncovered, potentially sabotaging a job candidate's prospects or an existing employee's career progression.
While this specific WSJ article was not available, related news indicates that the "AI penalty" is a growing concern. Studies have shown that managers often penalize employees who admit to using AI for work, assuming the machine did most of the effort, leading to reduced trust and perceived laziness.
Furthermore, companies are struggling with how to properly credit AI use. Mandatory attribution can backfire, with employees avoiding AI to prevent their contributions from being footnoted as "cowritten by Claude." This creates a paradoxical situation where employees are caught between managerial demands to use AI and the negative repercussions of disclosing that use. The focus is shifting from measuring AI token use to evaluating the outcome and individual ownership of the work.
Another aspect of this trend is the use of AI in interviews, where job candidates are reportedly attempting to use AI to cheat. Recruiters can detect inconsistencies, such as newly created LinkedIn profiles or a lack of detailed responses, leading to immediate rejection. There are also legal implications for employees who might share confidential information or trade secrets when moving between jobs, with AI potentially making it easier to trace such activities.
