As organizations across industries invest in AI, many are finding themselves competing for technical talent in markets they've never had to navigate before. The companies they're competing against may have very different compensation practices, particularly when it comes to equity and the premiums they're willing to pay for specialized skills.

But competing for AI talent doesn't necessarily mean matching what technology companies are paying.

Join Hannah Wells and Amy Goldfinger for a candid conversation about how organizations can approach compensation for AI and technical roles without abandoning the pay principles they've already established.

Drawing on compensation advisory experience and firsthand experience leading People strategy, they'll explore how to identify the talent your organization actually needs, determine which employers you're competing against and recognize when traditional market benchmarks may no longer be appropriate.

They'll also discuss the difficult decisions that arise when candidate expectations don't align with existing compensation structures, including when exceptions make sense and how those decisions can affect the broader workforce. Leave with a practical framework for evaluating AI talent compensation decisions within your own organization.