AI gave your people superpowers. Are performance and pay keeping up?
In this session, we explore how AI has made every employee significantly more capable and why most HR processes haven't kept up. When one person can deliver what a whole team used to, every hire, review, and retention decision carries far more weight. We'll discuss how People teams can raise the quality of their performance and pay decisions to match the higher stakes that AI has introduced.
In this session, we explore how AI has made every employee significantly more capable and why most HR processes haven't kept up. When one person can deliver what a whole team used to, every hire, review, and retention decision carries far more weight. We'll discuss how People teams can raise the quality of their performance and pay decisions to match the higher stakes that AI has introduced.

Jessica Zwaan
VP People Strategy & Operations
Leapsome

Marina Ziblis
Entrepreneur, Business Creator

Matt McFarlane
Director
FNDN

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Whether your company is hiring aggressively or running lean, one thing is true either way: AI has made each person on your team significantly more capable. One person today can move with the speed, range, and impact of a whole team. And with that shift, the cost of a bad hire, a missed retention signal, or a weak performance calibration has gone up fast.
Three years ago, losing one employee meant losing one person's output. Today, with AI in the workflow, it can mean losing the equivalent of a small team. The math behind every hire, every review, every compensation decision, and every retention call has shifted. The processes underneath have not.
When AI multiplies what each person can deliver, output per employee climbs. The cost of a bad hire compounds faster. The cost of losing a high-output employee compounds faster still. The gap between a good hire and a great one starts to look less like a 20% difference and more like a 2x one. And your performance and pay frameworks were not built for that math.
For HR, this raises the stakes on everything. Every hire matters more. Every review carries more weight. Every retention decision moves the needle further. The question is whether the way HR runs performance reviews, calibrations, and compensation decisions today is still good enough for a world where one person with the right tools can move like a whole team.
We will discuss:
- Why every people decision is higher-stakes now. How AI is reshaping output per employee, why the cost of a bad hire and the value of a great one have both climbed, and what that means for hiring, promotions, pay, and succession.
- How to retain people who are now worth more. What it takes to keep high-output employees engaged when one departure costs more than it used to, and how to build that signal into your performance and compensation frameworks without writing a blank check.
- How HR makes higher-quality calls, more often. What performance reviews, calibrations, and pay decisions need to look like when the margin for error has shrunk, and how People teams can run them with the precision and frequency the moment now demands.

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