Work Tech Weekly

Does HR Tech Have an AI Washing Problem?

33 min · 22. maj 2026
episode Does HR Tech Have an AI Washing Problem? cover

Description

The HCM market is one of the noisiest spaces in enterprise software right now, and most buyers can’t tell who’s actually AI-native and who’s just saying so. Opal Wagnac, global head of market positioning and strategy at Darwinbox, has been in this market long enough to spot the cycle. She and Steve get into how buyers can cut through AI washing in HCM, why most global platforms fail when they enter the US market, what buyers keep getting wrong in evaluations and why the technology has finally caught up to the ambition.

Comments

0

Be the first to comment

Sign up now and become a member of the Work Tech Weekly community!

Get Started

2 months for 19 kr.

Then 99 kr. / month · Cancel anytime.

  • Podcasts kun på Podimo
  • 20 lydbogstimer pr. måned
  • Gratis podcasts

All episodes

17 episodes

episode The Candid Truth About AI in Talent Acquisition artwork

The Candid Truth About AI in Talent Acquisition

AI in talent acquisition has a narrative problem. Everyone in work tech is talking about agentic AI. The practitioners doing the actual hiring? They're still figuring out Gen AI and automation. That gap between the market narrative and the market reality is bigger than most vendors want to admit. Trent Cotton has seen it from both sides. He spent nearly two decades as a talent acquisition practitioner before joining ICIMS as head of talent insights and analyst relations. This conversation was recorded live at Transform 2026 in Las Vegas. Host Steve Smith and Trent dig into the real state of AI in talent acquisition, what the data shows, where the friction is, and what it actually takes to earn trust from candidates, recruiters, and the C-suite. What you'll hear: - Why most TA orgs are using AI but far fewer are ready for agentic - The governance-first argument and why retrofitting it never works - What candidates actually distrust about AI in hiring and how to fix it - Why enterprise AI has shifted from piloting to operationalizing - The question every TA leader should be asking before they automate anything

3. apr. 202627 min