Podcast Episode #3
Loren and Angela make the case that without proper training, even the best tools are underused, misused, or abandoned. And with 60% of employees reportedly hiding their AI use, organizations can’t afford to ignore the culture component.
Key Insights:
- Training should be hands-on, role-specific, and reinforced with office hours
- AI literacy builds common language and momentum within teams
- You can’t train one person and expect culture change—25–33% of the team needs to engage
- Power users often emerge naturally—nurture them
- Scheduled prompts in Copilot are a game-changer for keeping up momentum
Tools You Can Use:
- AI Prompt Library (for team sharing)
- Scheduled prompts in Copilot
- Open classes for cross-industry networking
- Model Mind’s ongoing office hours for real-world support
Next week’s focus: Track 3 – Data & Infrastructure. Subscribe and stay ready.
Listen Here:
the Conversation with Model Mind AI | Podcast on Spotify
the Conversation with Model Mind AI Podcast on Amazon Music
the Conversation with Model Mind AI - Podcast - Apple Podcasts
Episode 3: People & Training — The Real AI Multiplier
In this episode of *The Conversation with Model Mind AI*, host Angela Schultz and CEO Loren Horsager dive into Track 2 of the AI Readiness Framework: People & Training. With AI tools flooding workplaces, they ask the crucial question: Are your people ready to lead with AI?
Why Training > Tools
Angela opens the episode with a challenge: Would you rather invest in AI tools or in training your team to use them well? The answer is clear—without training, tools are underused, misused, or abandoned. Loren emphasizes that Model Mind’s hands-on, use-case-driven training helps employees realize what’s possible and start applying AI confidently.
The Stats that Matter
- 60% of employees admit to hiding AI use from their employer
- 70% believe AI will benefit their work
- 28% have had no formal or informal training
Angela and Loren unpack what these numbers mean for organizational culture, risk, and opportunity.
Why Most Companies Skip Training—and Why That’s a Mistake
Time and money are common barriers, but both agree: clicking a new AI button isn’t training. Great AI training helps employees rethink how they work. It creates a shared language, a sense of momentum, and surfaces power users who can champion AI adoption inside teams.
What Great AI Training Looks Like
Angela shares best practices:
- Step away from daily work and be present
- Real-time instructor support (not just videos)
- Follow-up office hours for real tasks
- Cohort-based learning builds shared culture
- Practical, personalized use cases based on real roles
Training must be relevant, iterative, and supported with reinforcement—not one-and-done.
From Prompt Curiosity to Culture Change
Loren and Angela highlight how AI training catalyzes cultural transformation. From shared prompts and office hours to prompt libraries and weekly team shares, AI becomes less of a mystery and more of a tool for collective improvement.
Keeping the Momentum Post-Training
Angela introduces Copilot’s new Scheduled Prompts as one way to keep learning going after class. They also suggest:
- Carving out weekly time for experimentation
- Empowering internal AI ‘power users’
- Holding team discussions to share wins and ideas
- Maintaining regular updates as tools evolve
Prompt of the Week: The Meta Prompt
Prompt: *Act as an AI adoption coach. I want to spark safe, honest conversations with my team about AI. Give me 3 prompts I can use to uncover interest, fears, and curiosity. Make one playful, one practical, and include a follow-up question.*
Angela explains how meta prompts—prompts that generate more prompts—help leaders facilitate meaningful AI conversations.
Final Takeaway
Training isn’t just about using tools—it’s about shifting how we work and think. With the right support, AI can save more than just time—it can transform culture.
Visit modelmind.ai to take the free AI Readiness Assessment or explore training options for your team.