


Last Tuesday (June 23), I had the privilege of serving as a panelist at Saint Francis University‘s “Human Resources Forum: Human-Centric Intelligence, Nurturing Future Talent.” Three hours of deep dialogue gave me a tangible sense of where our industry stands today.
4 speakers from academia, finance, tech, and human resources Ian Choy, Annie Bligh PFHEA CChem FRSC FRSB FRSA, Dr. Jim Wai Kee and myself brought vastly different perspectives: from Gen Z workplace expectations to practical industry-academia talent pools, and organizational resilience in banking transformation. Yet all these seemingly disparate topics pointed to one core question — as AI takes over more “execution-level” tasks, where does human value truly lie?
During the discussion, I shared observations from my work in AI application research and enterprise implementation: many organizations treat AI merely as an “efficiency tool,” overlooking its role as a starting point for organizational restructuring. The real challenge isn’t how many models you deploy, but redesigning workflows and competency frameworks for human-AI collaboration. This requires HR to evolve from “administrative support” to “system designer” — a role shift far more urgent than any technical upgrade.
If you’re also navigating talent strategy in the AI era, I’d love to hear your perspective — what concerns or excites you most?


