- What's at the heart of the AI pay problem? Should TA leaders view it as a talent-market problem or a workforce-design problem?
- AI talent - should you hire, upskill or blend? Do you have existing roles that lend themselves to AI upskilling already? For instance, can your Data engineers become ML Ops and Infrastructure Engineers? If you can't upskill, what does that mean for your external hiring plan?
- What does the AI learning curve look like for various roles? If you plan to upskill from existing roles, what knock-on impact will that have? And are there some roles that just don't translate?
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