What happens when AI doesn’t just change how we work, but changes the work itself?
For years, organizations have invested in becoming skills-based: defining the capabilities each role requires, identifying gaps, and helping people develop their careers. But as Kathleen Mattie puts it, we can automate tasks, but we can’t automate skills.
Kathleen is a global HR transformation and innovation leader who has spent her career leading enterprise learning initiatives.
In this conversation, she explains why leaders must now look beyond skills to understand the work being done, the tasks within it, and which parts belong to humans, AI, or a partnership between the two. She shares her vision for talent and workforce intelligence: using better data to uncover hidden talent, anticipate capability gaps, and connect learning directly to business priorities.
Kathleen also reveals why prompt engineering remains the most underestimated capability gap, why judgment and critical thinking matter more than ever, and why managers must be prepared to lead both people and AI agents through continuous change.
At its heart, this episode is about a new mandate for learning leaders: stop creating programs for their own sake and start building the capabilities the business actually needs, at the speed the future demands.
If you’re rethinking your approach to skills, learning, or talent development in the age of AI, this conversation gives you a clear place to start.
Full Episode
Guest Links
Show Notes
- [00:00 – 02:14] Why AI changes the work, not just the skills
- [02:15 – 05:11] What skills-based organizations set out to do
- [05:12 – 08:21] Why task and work data matter in the AI era
- [08:22 – 09:39] Map business capabilities to roles and tasks
- [09:40 – 12:07] Use AI vendors and experts to build skills taxonomies
- [12:08 – 14:23] How talent intelligence makes skills visible
- [14:24 – 17:27] A connected HR system powered by AI agents
- [17:28 – 19:20] Plan system integration around contracts and interoperability
- [19:21 – 22:14] Finding hidden talent through skills data
- [22:15 – 26:03] Why prompt engineering and context remain capability gaps
- [26:04 – 28:26] Teach judgment and critical thinking alongside AI use
- [28:27 – 29:32] Assess data, systems, and organizational capability needs
- [29:33 – 31:43] Managers must lead people through AI-driven change
- [31:44 – 33:08] The challenge of reskilling at the speed of change
- [33:09 – 36:25] Prove learning’s value with business data
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