The Hiring Gap: Why Most Companies Are Looking for AI Talent in All the Wrong Places

Finding great AI talent isn’t just about technical skills anymore, and the companies figuring that out are moving faster than everyone else. They’re looking for people who already understand their industry and can bring real-world context. Join us to learn what smarter sourcing looks like these days and why representative talent pipelines consistently produce stronger AI teams.

Topics will include:

• Technical skills alone no longer identify the best AI talent. The companies pulling ahead are looking past credentials and coding ability to find people who understand the industry the AI is being built for, because that context is what turns a technically sound model into one that actually works for real users.
• Industry context is a sourcing criterion, not a nice-to-have. Candidates who already understand the domain, whether that's healthcare, finance, retail, or another industry, bring real-world grounding that speeds up development and reduces costly blind spots down the line.
• Representative talent pipelines consistently outperform narrow ones. Teams built from a wider range of backgrounds and experiences produce stronger AI outcomes, which means sourcing strategy itself is a competitive advantage, not just an HR function.

This event will be eligible for SHRM credits.