Spilling the Tea on HR Tech - A trove of market announcements and people moves and why the AI model you build on matters more than you think
MAY 14, 202660 MIN
Spilling the Tea on HR Tech - A trove of market announcements and people moves and why the AI model you build on matters more than you think
MAY 14, 202660 MIN
Description
In this episode of Spilling the Tea on HR Tech, Stacey Harris and Cliff Stevenson pick up where they left off, working through a long list of market announcements that includes UKG's partnership with Google Gemini, Amazon's entry into agentic hiring with Connect Talent, and SAP's data acquisition strategy as a direct counter to Workday's consolidation play. They discuss leadership changes at isolved, ICIMS, Cornerstone, and NOVAworks. The duo also talk about how people moves at Anthropic and FICO point to the blurring of consumer and business worlds.
The hosts get into harder conversations, such as AI model rollout risks, the security vulnerabilities surfacing in vibe coding platforms, and why relying primarily on historical data without an overarching, carefully considered data theory will likely result in faulty predictions.
Key points covered include:
↪️ Private equity companies are moving fast on workforce management systems, and the hosts make the case that the real assets being purchased are not the software systems but the continuous, real-time data generated from time and attendance and other similar applications.
↪️ AI model updates carry a risk that traditional software updates do not: when an underlying AI model changes, everything built on it can behave differently and potentially unpredictably. The hosts break down why this is a problem the HR tech market is not yet prepared for.
↪️ The hosts discuss Phenom’s acquisition of Plum, described as “a pioneer in psychometric-based talent assessments that validate the durable skills AI cannot manufacture and resumes cannot verify.” As AI makes it easy for job seekers to fabricate resumes and interview responses, organizations increasingly need behavioral science tools that measure attributes AI cannot fake — such as empathy, judgment, adaptability, resilience.
↪️AI diagnostic tools used in medicine are producing significantly higher error rates for women than for men. These are traced directly to decades of underrepresentation of women in medical research. The hosts point out that similar data insufficiencies and bias can also cause harm when using AI tools for HR purposes.
The 29th annual HR Systems Survey is now open through June 24th. Add your organization's voice to the largest HR tech survey in the industry at the link below.
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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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The HR Channel
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WRKdefinedInstagram | LinkedIn