The TechWolf Podcast

TechWolf

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!

  1. "HR Problems Became Business Problems. For the first time" | TechWolf Founder & President Mikael Wornoo on Task Data, Workforce Planning & the New HR Mandate

    12 SEP

    "HR Problems Became Business Problems. For the first time" | TechWolf Founder & President Mikael Wornoo on Task Data, Workforce Planning & the New HR Mandate

    In this episode of The TechWolf Podcast, host Julius Schelstraete speaks with Mikael Wornoo, co-founder of TechWolf and the leader of its US expansion. Calling in from New York, Mikael lays out why skills data alone is no longer enough—and how task-level intelligence is the key to making workforce AI transformation actionable. From task automation to strategic workforce planning, this episode unpacks the urgent market shift that's uniting HR and business leaders: understanding how AI is disrupting work—and what to do about it. You’ll also get a sneak peek into TechWolf’s newest launch: the Workforce Intelligence Index, a public data tool built on 2 billion job postings and 10 years of labor market data. If you’re in HR, talent, transformation, or workforce planning, this episode is your cheat sheet for how to lead—not follow—during AI disruption. 🔑 Key Topics & Takeaways Why workforce planning has changed forever From forecasting to modeling AI adoption: With AI affecting every sector, workforce planning isn’t about “what if” anymore—it’s about how fast. The new job of HR is understanding task-level change: what humans do today, what AI might do tomorrow, and what that means for reskilling and redeployment. What skills data can’t do—without tasks Tasks bring precision to workforce intelligence: they make AI use cases like augmentation, automation, and role redesign measurable and actionable. With tasks, you can finally answer: What’s the impact of AI on our workforce—and how do we respond? The rise of the CHRO–CEO alliance For the first time, business and HR leaders share the same problem: how to future-proof the workforce in the face of AI.That’s creating momentum for a new kind of HR leader—one who tells compelling stories backed by data and builds coalitions across the enterprise. Introducing: The Workforce Intelligence Index A first-of-its-kind tool, analyzing how AI is already transforming jobs, tasks, and skills across 1,500 companies. Built to help HR and business leaders stop guessing—and start planning with confidence.

    22 min
  2. “We Needed More Skilled Talent to Save Lives” | How Bristol Myers Squibb Used Skills Data to Solve a Life-or-Death Talent Shortage

    17 JUN

    “We Needed More Skilled Talent to Save Lives” | How Bristol Myers Squibb Used Skills Data to Solve a Life-or-Death Talent Shortage

    In this in-person episode of The TechWolf Podcast, we sit down with Ben Wein, Director of Workforce Skills Enablement at Bristol Myers Squibb (BMS), live from the Flanders House in New York City. Ben shares the inside story of how one of the world’s largest pharmaceutical companies is becoming a skills-based organization—starting with a business-critical talent shortage in cell therapy manufacturing. He explains how BMS uses skills data to drive faster hiring, smarter workforce planning, and ultimately, patient impact. 💡 Final Takeaway: In pharma, solving the right talent problem isn’t a nice-to-have—it can literally save lives. Skills data is how BMS gets there. Ben shares: ✔ Why time-to-fill became a life-or-death metric at BMS ✔ How skills helped solve a manufacturing talent crisis in cell therapy ✔ What not to focus on in your first year of becoming skill-based ✔ Why AI and task-level data will define the next wave of skills strategy ✔ What pharma gets right about workforce planning—and what others can learn Time stamps: 00:00 – Welcome & Introduction of Ben Wein (Bristol Myers Squibb) 01:11 – The cultural traits powering skills strategy: Trust & transparency 02:33 – Timeline: How long BMS has been on the skills journey 03:15 – What is a skills-based organization? Ben’s definition 04:30 – Why now? AI, business urgency & talent shortages 06:40 – Cell therapy as a high-stakes use case for skills 07:53 – Skills data in pharma: Planning 5–10 years ahead 09:18 – BMS’s starting point: Talent acquisition and internal mobility 11:42 – Skills data quality: “From zero to one” and evolving governance 13:37 – Managing expectations with the business 15:18 – Speaking two languages: Business vs. HR 16:23 – How the BMS skills team is structured and evolving 18:34 – Internal mobility as the first North Star use case 20:35 – Roles, tasks, and skills: Why jobs still matter 23:56 – Still cracking the model: Tasks and the future of work 25:10 – Change management: The real skills transformation hurdle 28:44 – What’s next? Planning for AI & the future of the pharma workforce 31:02 – Where Ben goes to learn: Peers, forums, and building internal trust 33:11 – Ben’s question for the next guest

    34 min

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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!

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