The title suggests the transformation of Talent and
Learning from a “development function” into an enterprise capability-building
function for the AI economy.
In other words, the future of our profession is not primarily about
better training. It is about helping organizations redesign how work gets done,
what capabilities humans need, and how leaders manage increasingly AI-augmented
organizations.
My background positions me unusually well for that shift. Here’s why:
AI will fundamentally change the work—not just the skills—of employees
The first wave of Generative AI was largely about tools: Copilot,
ChatGPT, automation, productivity, and experimentation. I help to lead this work in highly
regulated fields, so “getting it right” was a solid requirement.
The next decade will be about work redesign.
Organizations are now confronting questions such as:
- Which tasks should humans
continue to perform?
- Which tasks should be automated?
- Which should be performed
collaboratively by humans and AI?
- What decisions should never be
delegated entirely to AI?
- How should jobs be redesigned
when AI eliminates 20–40% of certain tasks but not the entire job?
- How do you develop employees when
AI is doing some of the work through which employees traditionally gained
experience?
Recent evidence suggests enterprise AI adoption is spreading across
functions and seniority levels, while organizations are still learning how to
integrate it into actual workflows rather than simply deploying the technology.
That distinction is enormously important.
Most corporate learning organizations are still built around the old
model:
Identify a skill gap → build a program → deliver learning → measure
participation.
That model will increasingly be insufficient.
The emerging model will be:
Redesign work → identify future capabilities → redesign jobs and careers
→ build leadership capability → create learning in the flow of work →
continuously measure adaptation.
That is a much more strategic mandate—and it aligns closely with my combination of executive development, organizational effectiveness, talent
strategy, and AI enablement.
