Compensation risk in the age of AI: Why more data is not better decisions
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What you'll learn
Compensation teams have more data than ever before. Survey data, job postings, internal data, and AI-generated insights are all available. But having more data has not made compensation easier.
Conflicting benchmarks, inconsistent signals, and growing pressure for pay transparency are making compensation harder to navigate and defend. According to the Compensation Best Practices Report, 40 percent of organizations say misinformation or unverified data is already influencing how pay decisions are perceived internally. The risk is not just getting pay wrong. It is not being able to explain it.
The organizations getting ahead operate with compensation intelligence—moving from disconnected data and reactive decisions to a connected, always-on approach that delivers consistent, explainable pay decisions at the speed of the business. In this session, Sara Hillenmeyer and Brian Calhoun will explore how leading organizations are rethinking their compensation data strategy in the age of AI and what it takes to make that shift.
You will learn how to:
- Evaluate and combine multiple compensation data sources with confidence
- Apply AI in a way that improves speed without sacrificing trust or defensibility
- Build a connected compensation data strategy that supports consistent, explainable decisions
