The TechWolf Podcast
The TechWolf Podcast
Podcast Description
Technology in HR is booming, yet confusing.
Many vendors claim to include AI (agents), skills, seamless integrations, and other technologies in their product offerings.
In practice, product promises often differ from reality.
In this podcast, our host, Julius Schelstraete, holds no-nonsense conversations with business practitioners and thought leaders on everything related to "the skills-based organization": what it is, whether it's realistic, typical roadblocks, real-life use cases, and more.
Join us as we move beyond the hype and examine skills-based HR from a critical, realistic lens!
Podcast Insights
Content Themes
The podcast delves into themes surrounding the evolution of HR into skills-based organizations, addressing topics such as the practical hurdles organizations face, the critical role of skills data, and the balance between strategy and technology. Episodes include discussions on whether all organizations should adopt a skills-based approach, real-world examples from EPAM Systems, and strategies for gaining business buy-in for skills initiatives.
Technology in HR is booming, yet confusing.
Many vendors claim to include AI (agents), skills, seamless integrations, and other technologies in their product offerings.
In practice, product promises often differ from reality.
In this podcast, our host, Julius Schelstraete, holds no-nonsense conversations with business practitioners and thought leaders on everything related to “the skills-based organization”: what it is, whether it’s realistic, typical roadblocks, real-life use cases, and more.
Join us as we move beyond the hype and examine skills-based HR from a critical, realistic lens!
Roughly a third of companies now talk about AI as a teammate or an employee, and between a fifth and a third say it has already carried over into the org chart. The argument for doing it has always been familiarity: give people a human reference point and they will use the thing.
Julie Bedard and her co-authors tested that with 1,200 to 1,300 managers in HR and finance, all reviewing the identical document, with only the stated author changed. Adoption intent did not move. Personal accountability dropped, escalations rose, and reviewers who thought an AI employee wrote the work caught fewer errors and passed them on.
Timestamps:
03:08 – BCG's 10/20/70, and the 70% nobody budgets for
05:44 – The experiment: one document, three different ”authors”
08:59 – The finding that killed the familiarity argument
11:27 – ”Our governance systems haven't caught up with agents”
17:25 – Reviewers caught fewer errors and escalated more
23:34 – Test track versus New York City at rush hour
27:56 – Token-based competition, and why usage is the wrong thing to reward
36:04 – The first 90 days for a CHRO or a chief AI officer
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