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Elon Musk’s AI to Judge Federal Jobs—Who Stays and Who Goes?

Key Takeaways

  • The DOGE, led by Elon ​Musk, plans to use AI to review federal employees’ work summaries and assess job necessity;
  • An internal memo clarified that responding to the email was voluntary, despite reports suggesting otherwise;
  • Musk criticized non-responders and hinted that a second ignored request could lead to termination.​

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Elon Musk’s AI to Judge Federal Jobs—Who Stays and Who Goes?

The Department of Government Efficiency (DOGE), led by Elon Musk, is considering artificial intelligence (AI) to evaluate federal employees’ responses about their recent work.

According to a report by NBC News, the DOGE sent an email on February 22 asking workers to list five key tasks they completed the previous week.

The reported plan involves feeding employee responses into a large language model (LLM), an AI tool designed to analyze text, to assess whether certain roles are necessary.

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The email, sent by the US Office of Personnel Management (OPM), instructed employees to reply with their bullet-point summaries and copy their managers. It also stated, "Please do not send any classified information, links, or attachments. Deadline is this Monday at 11:59 PM EST".

Some reports suggested that ignoring the email could be seen as a resignation, though an internal memo from the Justice Department clarified that participation was voluntary and not responding would not lead to automatic dismissal.

Musk addressed the situation in a February 25 post on X, calling the email request "utterly trivial". He criticized those who failed to respond, claiming some were even encouraged by their managers to ignore it. "The standard for passing the test was to type some words and press send", he wrote.

In another post, Musk suggested that employees who did not reply might get a second chance, but failing to respond again could lead to termination.

Recently, Elon Musk's xAI launched its latest AI model, Grok 3. What is it capable of? Read the full story.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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