

Episode 217: Future-Proofing Talent – Building AI Capabilities for What Comes Next
Aug 19, 2025
In a transformative discussion, Jemma Hirst, Jan Christie, Ann-Maree David, and Fiona Anson dive into the future of workforce transformation. They share insights on balancing technical training with essential human skills in the age of AI. The panel emphasizes innovative approaches, like peer-to-peer learning, to foster collaboration and adaptability. They also discuss the importance of ethics in AI and how to create a supportive, learning-oriented culture in organizations. Listeners gain valuable strategies for crafting personalized skill-building roadmaps to thrive in a rapidly evolving professional landscape.
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Episode notes
AI Differs By Organisational Level
- AI means different things at leadership, manager and team levels so training must be tiered.
- Design capability programs to match strategic, tool and fluency needs across levels.
AI Accelerates Existing Role Evolution
- AI accelerates existing shifts in roles and learning rather than creating entirely new problems.
- Critical capabilities for 2030 include data literacy plus creativity, curiosity and communication.
Pre‑Thinking Versus Post‑Thinking Workers
- Jemma described two cognitive groups: pre-thinking users who validate knowledge and post-thinking users who start from AI outputs.
- She cited her daughter's peers using ChatGPT for school speeches to show future workforce differences.