Is your organization trying to train AI—or actually learning how to use it? Most companies are approaching AI like traditional software, but as Jaymes Davis, Chief Technical Evangelist at Kasm Technologies, explains, that’s where things start to break down. AI isn’t something you learn in a single training or roll out in a standardized way—it’s something people figure out in the context of their actual work. From a florist planning hundreds of weddings to enterprise teams rethinking workflows, he shows why the real opportunity isn’t just using AI to move faster—it’s using it to think bigger. While employees are already experimenting on their own, the real risk isn’t that they’re using AI, it’s that they may trust it’s basic capabilities without understanding how to fully maximize its usage and application.
Topics Covered:
• Why generic AI training falls short
• The danger of trusting AI too quickly
• How AI creates new services, not just efficiency
• Role-based ownership and communities of practice
• The shift from general computing to generative computing
• Generational differences in AI adoption
• Physical AI and the future of work
Chapters:
00:00 Introduction to Lenovo Work Reborn
00:46 Meet the Evangelist: AI Toolsets and Practitioner Learning
02:09 The Florist Paradox: Finding the Specific Use Case
05:53 Collapsing Reality: Moving from Efficiency to New Services
07:31 The Risk of Trust: Lessons from Google Maps and Calculators
11:51 Generative Computing: Bringing "Your" AI to Work
19:02 Training For Real Results 21:55 Generational AI Divide
26:12 Work Reborn And Robots
27:24 Conclusion and Further Resources
Work Reborn is a Lenovo Digital Workplace Solutions research initiative exploring how AI is transforming the modern workplace.
🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.
#WorkReborn #AITraining #EmployeeExperience #FutureOfWork
