Spilling the Tea on HR Tech - The gap between AI expectations and actual business results, the pros and cons of synthetic data panels, and a liability ruling that could change the rules for HR tech vendors.

In this episode of Spilling the Tea on HR Tech, Stacey Harris and Cliff Stevenson recap two of the biggest HR tech events of the spring season and break down what they actually heard from participating CHROs, mid-market HR leaders, and vendors. The conversation moves through a packed week of news, covering acquisitions, funding rounds, platform expansions, and many rebrands.

They dig into the growing debate around the use of synthetic data panels, the liability ruling against Meta and Google, and new research showing C-suite leaders still expect AI to yield productivity gains despite seeing little impact over the past three years. 

Key points covered include:

↪️ Organizations across mid-market and enterprise are still trying to get their existing HR systems working together, and many are frustrated that AI conversations keep taking priority over fixing that foundation first.

↪️ Proprietary data is what separates defensible companies from ones that can be replicated - that theme runs through the Findem/Glider acquisition, Payscale's Compass tool, and Origin's $50M raise.

↪️ The liability verdict against Meta and Google opens real questions for HR vendors incorporating AI into their solutions. In particular, vendors selling AI-supported coaching, performance management, learning, and recruiting tools could be held accountable for what their AI agents do.

↪️ Research from the National Bureau of Economic Research showed that CEOs and CFOs reported minimal productivity improvement from AI use over the last three years, and yet still predict nearly 1% productivity gains annually going forward. At the same time, data center capacity is dropping. The data disconnect indicates that despite the ongoing AI hype, companies are in a wait-and-see mode when it comes to AI’s business and ROI value.

The hosts get into the pros and cons of synthetic data panels – AI-generated, simulated groups that are supposed to mimic the behaviors, preferences, and survey responses of real people. They discuss the challenges of using synthetic panels for decision making and the questions customers should have when reviewing results. 

Don’t miss this exciting thought leader conversation! Follow the hosts and companies mentioned below:

Sapient Insights Group

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Stacey Harris

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Cliff Stevenson

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