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If there's a single story that crystallized the problem of algorithmic bias in recruiting, it's Amazon's. In 2014, Amazon's engineering team built an AI tool designed to automate résumé screening — the kind of thing that, in theory, would cut through human subjectivity and surface the best candidates on merit alone. What it actually did was spend years studying a decade's worth of historical hiring data and conclude that the most successful candidates at Amazon were, overwhel

There's a story that gets told a lot in talent acquisition circles. It goes something like this: humans are biased, so let's hand the wheel to technology. It's a compelling pitch. Algorithms don't have bad days. They don't unconsciously favor candidates who remind them of themselves. They don't get tired after reviewing the 150th résumé of the afternoon. The problem is, that story has never been quite true — and the past three decades of recruiting technology have proven it,

A Truex Métier industry brief for senior professionals exploring the private service sector. A quiet shift is reshaping the private service industry. Senior Executive Assistants, Chiefs of Staff, and Operations leaders who once ran calendars for Fortune 500 CEOs are increasingly leaving corporate roles to work directly for ultra-high-net-worth (UHNW) families and private family offices (PFOs). It's not a downshift. For many, it's the most strategic career move they've ever ma

Changing industries? Learn how to maximize recruiter interactions by translating your transferable skills and accomplishments to fit what hiring managers want.