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Fortune
Fortune
Paige McGlauflin, Emma Burleigh

A new catchphrase is a hit with DEI critics but reveals how misunderstood hiring really is

A man shakes hands with a woman seated across the table. There is other colleague seated on each side of the woman, suggesting the man is in a panel interview. (Credit: PeopleImages—Getty Images)

Good morning!

There’s a new phrase permeating the anti-DEI spaces online. 

“MEI,” an acronym for “merit, excellence, and intelligence” was coined earlier this month by Alexandr Wang, cofounder and CEO of Scale AI, a $4 billion startup. The “hiring principle,” as Wang put it, means the company will only hire the strongest candidate.

“We hire only the best person for the job, we seek out and demand excellence, and we unapologetically prefer people who are very smart,” Wang wrote. “We treat everyone as an individual. We do not unfairly stereotype, tokenize, or otherwise treat anyone as a member of a demographic group rather than as an individual.”

Wang’s terminology was an instant hit with several business leaders who have criticized corporate diversity and inclusion programs before, including Elon Musk and Coinbase CEO Brian Armstrong. “Great!” Musk wrote in a response to Wang’s post on X (formerly Twitter).

But experts who I spoke with about Wang’s new catchphrase say his arguments misunderstand what DEI is actually about, and erroneously define it to mean hiring someone for their identity alone, and ignoring other qualifications. ScaleAI declined Fortune’s requests for comment.

In fact, DEI practices are very much focused on hiring the best person for the job. And experts said that “MEI” doesn’t account for real biases that exist in the workplace, and must be taken into consideration. No hiring manager can be truly objective in selecting the candidate with the most “outstanding talent” for the job.

“People that think that we’re over the hill when it comes to diversity and inclusion, both from a racial as well as gender perspective, are delusional,” says Lisa Simon, chief economist at people analytics platform Revelio Labs. “We’re not in a moment where you can get rid of all these policies and hope they will continue. As soon as you remove these things, people go back to hiring people that look like them.”

You can read my full story here.

Paige McGlauflin
paige.mcglauflin@fortune.com
@paidion

Today's edition was curated by Emma Burleigh.

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