Gemma Versace is Chief Client Officer at X-Team, where she works with organizations navigating the gap between what their AI talent strategy looks like on paper and what it looks like in practice. She comes to this conversation with research, and the research tells a story most organizations aren’t ready to hear.
X-Team surveyed over 300 leaders and found that executives and the people doing the actual AI work are living in entirely different realities. The executives are confident. The engineers are burnt out, dealing with shifting requirements, missing change management, and leadership that thinks everything is on track. The best ones start looking for the exit. Gemma’s suggestion for any HR leader who wants to understand where their organization actually stands: run an anonymous survey with the people in the middle and prepare to be surprised.
What makes this conversation worth your time is where she locates the fix. It isn’t more budget. It isn’t a bigger AI team. It’s role definition, HR fluency, and whether the head of people and the CTO are building strategy together or finding out what the other decided after the fact. Gemma describes a client that grew from a $50 million company to a $700 million company in four years. The head of people and the technology executives sit next to each other every day. They co-present to the CFO. They treat talent strategy as shared work. That, she argues, is not a coincidence.
The harder truth underneath all of it is that most organizations can’t prove their AI investments worked. When they go back for more funding, that’s going to be a problem. Gemma’s argument is that HR is well-positioned to fix this, if it gets into the room early enough and builds the measurement discipline that finance actually respects.
In this episode, you will hear:
- How X-Team’s research found a significant gap between executive and practitioner confidence on AI talent strategy
- What that gap looks like inside a real organization, from the excited CEO to the burnt-out engineering team
- Why HR reports the lowest AI confidence of any function, and what it costs when HR is left out of AI planning
- Why it’s the way you define AI in a job description that predicts AI maturity more than budget or company size
- The difference between identifying governance and skills as problems versus actually solving them
- Why most organizations cannot prove AI ROI in terms finance would recognize, and what that means for the next funding ask
- Why embedded long-term partner teams consistently outperform internal-only or short-term contractor models
- What measurement actually does beyond accountability and why it matters for every future investment decision
Resources from this episode
- X-Team Out of Sync 2026 Research Report: https://engage.x-team.com/out-of-sync-2026
- Connect with Gemma Versace on LinkedIn: https://www.linkedin.com/in/gemma-e-versace-353a1a19/
- Keep Moving Forward Podcast: https://x-team.com/magazine/tag/podcast
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