AI Adoption is a Leadership Problem, Not a Technology Problem

In this TechServe Exchange episode, Ian Petersen, Partner & Project Director at NewCombin, sits down with Pete Newsome, President of Four Corner Resources, to discuss how staffing firms can move beyond simply experimenting with AI and begin using it more intentionally.

From the gap between AI adoption and measurable business results to the risks of chasing tools without a clear strategy, Ian and Pete explore what successful AI implementation should look like. They discuss the difference between automation and augmentation, the importance of protecting human judgment, and why staffing leaders should focus on better outcomes rather than simply producing more work.

What You’ll Hear in This Episode:

• Introduction & Episode Overview (00:00)
• Cutting Through the Conflicting Headlines Around AI (00:32)
• How Staffing Leaders Are Thinking About AI Adoption (01:44)
• The Gap Between AI Adoption, Maturity, and ROI (02:34)
• Why Intentionality Separates Successful AI Implementations (05:00)
• Automation vs. Augmentation: Where Human Judgment Still Matters (06:41)
• The Most Common Mistakes Firms Make When Implementing AI (07:51)
• Why AI Usage Should Be Measured by Outcomes, Not Activity (08:52)
• Avoiding Disconnected Tools, Data Silos, and Broken Workflows (09:53)
• Outcome Over Output and the Risk of Low-Quality AI Content (10:37)
• How Poor AI Implementation Can Affect Company Culture (11:26)
• Protecting Employee Skills and Communicating Through Change (12:57)
• What Staffing Leaders Should Do Over the Next Year (14:36)
• Using Education and Small Experiments to Reduce AI Risk (14:51)
• What a Successful AI-Enabled Staffing Firm Could Look Like (16:01)
• Removing Friction While Preserving Trust and Human Judgment (17:14)
• Final Takeaway: Focus on Better Outcomes, Not More Output (17:42)