The AI Training crisis: Why companies are spending money on AI but not educating
December 12, 2025
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: This episode features a dynamic interview between host Jordan Wilson and guest Dan Lawyer, Chief Product Officer at Lucid Software. The discussion revolves around the evolving landscape of AI in the workplace, particularly focusing on the AI training crisis and the cultural shifts necessary for effective AI integration.
- The Key Players:
- Jordan Wilson: The engaging host of Everyday AI, known for his insightful questions and ability to draw interesting anecdotes from guests.
- Dan Lawyer: A recognized figure in the tech industry, particularly for his work at Lucid Software, where he leads product development focusing on collaborative tools. His insights into AI's impact on business practices are both practical and thought-provoking.
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What you'll learn
- 1 (00:00) **🎙️ Introduction: Dan Lawyer**
- 2 (02:12) **AI Training Crisis Overview**
- 3 (03:01) **Lucid Software's Mission**
- 4 (03:48) **Internal Learnings from AI Investment**
- 5 (04:59) **Personal Experience with AI**
- 6 (06:37) **The AI Training Gap**
- 7 (08:11) **Expectations vs. Reality in AI Use**
+ Full timestamped outline available in the app
Show Notes
AI investments? Everywhere.
AI training? ....... 🔭
Why are enterprises so quick to throw insanely large stacks of cash at any AI project or software, but neglect ongoing employee training and education?
And what should we do about it?
Join us to find out.
The AI Training crisis: Why companies are spending money on AI but not educating -- An Everyday AI Chat with Jordan Wilson and Lucid Software's Dan Lawyer
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Topics Covered in This Episode:
- The AI Training Crisis in Enterprises
- Company Investment in AI vs. Employee Education
- Cultural Shifts Required for AI Adoption
- Importance of Domain-Specific AI Training
- Grounding Large Language Models With Company Data
- Process and Workflow Documentation for AI Success
- Rapid Experimentation With New AI Models
- Measuring ROI and Outcomes of AI Training
- Creating Cultural Moments for AI Learning
- Preparing Employees for Fast AI Technology Changes
Timestamps:
00:00 AI Training Crisis in Business
05:32 Generative AI and Family History
07:55 Grounding AI for Effective Use
11:49 "AI as a Co-Collaborator"
16:38 "Grounding AI for Better Trust"
19:29 "AI Needs Procedural Knowledge"
22:33 "Measuring AI's Value and Speed"
23:49 Rapid Experimentation and Continuous Learning
26:58 "Maximizing AI Through Education"
Keywords:
AI training crisis, AI education gap, enterprise AI adoption, AI in business, employee AI training, workplace AI integration, generative AI, large language models, AI-powered workflow, cultural shift with AI, organizational AI culture, domain specific AI training, AI-driven process documentation, AI experimentation, AI safety, securing company data with AI
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