In this episode of the ⁠Training Impact Podcast⁠, Jeff Walter sits down with David Boyes, President of ⁠Today’s Class⁠, to explore how adaptive microlearning and AI-driven personalization are changing the future of automotive workforce development.

As modern vehicles become increasingly complex, shops are facing growing pressure to keep technicians, service advisors, and service teams up to speed on rapidly evolving technology. At the same time, technician shortages, employee turnover, and limited training time continue creating major challenges across the industry.

David explains how Today’s Class approaches these challenges differently through daily three to five minute learning experiences delivered through an adaptive mobile platform. Instead of relying on occasional classroom sessions or static online courses, the system continuously evaluates each learner’s strengths, weaknesses, confidence levels, and retention patterns to personalize training over time.

Jeff and David discuss how AI and machine learning help create highly targeted learning experiences that evolve daily based on employee performance, business priorities, seasonality, and long-term knowledge retention. The conversation also explores how shops can use learning data to improve engagement, support ASE preparation, strengthen service advisor communication skills, and create stronger learning cultures throughout their organizations.

This episode is a fascinating look at the future of adaptive learning, continuous workforce development, and how modern automotive organizations can turn training into a long-term competitive advantage.

Learn more about Today’s Class: ⁠https://todaysclass.com⁠

Follow the Training Impact Podcast on Social Media: ⁠https://t-sml.mtrbio.com/public/smartlink/trainingimpactpodcast⁠

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