By: Sead Džigal · Research & opinion · 2025-02-25 · 2 min read
Elon Musk has sparked a debate about the role of AI in recruiting and evaluating employees. Learn how automation is changing the process.
In recent days Elon Musk, who heads the Department of Government Efficiency (DOGE) appointed by President Donald Trump, sent a directive to federal employees in the US asking them to reply to a message with five accomplishments from the previous work week. In an email from the Office of Personnel Management (OPM), administration employees were asked to list five important things they had done in that period. The message stated that those who did not reply would face dismissal.
Several government agencies, including the FBI, the State Department and the Department of Health and Human Services, instructed their employees not to comply with the directive, citing concerns about sensitive information and questioning its legality. The American Federation of Government Employees criticized the move as a disregard for employee rights and called it beyond Elon Musk's authority. Amid the turmoil and confusion, some agencies advised staff that they could reply if they chose to, on a voluntary basis. The situation made the lack of consensus within the federal government and its institutions obvious, and how this action will unfold remains to be seen.
What is particularly interesting about this news is how Elon Musk and his department would review all the content and responses if every federal employee replied to this message right away. The answer, of course, is with the help of artificial intelligence (AI). It is clear that in this particular process, and in many similar ones, AI is heavily used to select and evaluate employees' work, and to handle and sort huge amounts of data.
Artificial intelligence is widely used for hiring candidates and evaluating employees, to streamline recruitment, reduce bias and improve efficiency in HR work.
AI helps employers screen large numbers of applications and rate suitable candidates. The most commonly used techniques for this are:
-AI résumé screening: AI-powered Applicant Tracking Systems (ATS) scan résumés for keywords to identify the skills and experience required when selecting candidates.
-Chatbots and virtual recruiters: AI chatbots communicate with applicants, answer questions, carry out initial assessments and schedule interviews.
-Predictive analytics: AI analyzes data on past hires to predict which candidates are most likely to succeed in a future job or engagement.
-Reducing bias - AI can help minimize human bias by focusing on objective qualifications rather than traits that influence the person making the hiring decision (for example gender, appearance, race, ethnicity, etc.). It must be added that poorly designed AI can also reinforce the biases present in hiring data.
These are just some of the most common ways AI is used in the application and evaluation process for jobs. They point to how important our knowledge and skills are for understanding how AI affects us and how this process will develop in the future.
Sead Xhigal,
February 2025.