In this episode, we explore the voice-first future of technology and how AI enables instant expertise building, featuring Nick Cawthon's insights on family tech adoption, RAG systems for learning, and preparing for the diamond-shaped workforce.
Keywords
Voice Interface Design, RAG Systems, Universal Basic Income Research, Diamond-Shaped Workforce, AI Learning, Human Computer Interaction, Future of Work, Sandwich Generation Technology, Knowledge Graph Building, Strategic Thinking
Key Takeaways
The Voice-First Generation
- Nick's 83-year-old mother and preteen kids both learned technology through voice commands
- First computer interaction: "Hey Google, turn on the projector" - no keyboards or screens
- Voice assistants became entry point for both aging eyes/unsteady fingers and young minds
- Whisper dictation tool mission: "kill the keyboard" - physical interaction decreasing
AR/VR Reality Check
- Nick deliberately missed the AR wave - headsets and goggles never appealed to him
- Voice interface seemed better approach than "strap-on technologies"
- Still gun-shy about Google Glass and Oculus failures
- Voice accessibility wins over visual complexity for multi-generational users
Building AI Teachers: The UBI Project
- Philanthropist hired Nick to visualize Universal Basic Income data - topic he knew nothing about
- Traditional approach: weeks in academic libraries with highlighters
- AI approach: Built custom RAG (Retrieval Augmented Generation) system with 200 articles
- Created knowledge graph trained to speak in philanthropist's voice
- Generated academic-level citations with traceable references
RAG System Benefits
- Fast expertise building: "talk about UBI at a party" within days instead of months
- No hallucination risks - all answers traceable to source material
- Custom voice training for client communication style
- Narrative generation to accompany data visualizations
The Agency Learning Pattern
- "You are like an improv actor every couple months where you've got a new thing you gotta know something about"
- Next month it might be banking, hybrid milk, or any random topic
- Process: train a model to understand pros/cons and aggregate diverse sources
- Result: well-rounded opinions and starter directions for any subject
Future of Work Philosophy
- Work will never completely disappear - "connection between mind and body will always need to take place"
- Nick's 13-year-old son: paid Dungeon Master at neighborhood school
- "You're being paid to think with your mind... tell a story to a captive audience"
- Future work: strategic thinking, adaptability, human connection
The Career Choice Framework
- Friend's 10-year-old quote: "Either you're gonna pick a career where you tell computers what to do, or computers tell you what to do"
- Quote "kept me up at night" - drives staying ahead of technology
- Importance of being on the right side of that equation
- Autonomy and levity about industry changes
Diamond-Shaped Workforce
- Shift from pyramid-shaped to diamond-shaped workforce
- "Very few at the top, very few at the bottom, everybody else in the middle"
- Optimistic view: "Instead of climbing corporate ladder, you've been given a jetpack"
- Can "go right to the top" with velocity never seen before
Historical Parallels
- Early 2000s: Dreamweaver and visual web design tools democratized business creation
- Anyone could have website and business behind it
- Similar empowerment happening now with LLM training and AI tools
- Focus on empowering thoughts vs. "oh shit, I'm gonna get downsized"
San Mateo County Model
- Government efforts to ensure AI tools don't replace jobs but create new ones
- Focus on interpreting what new job types are opening up
- Important distinction: transformation vs. elimination
- Everyone will play a part in this change
Links
https://retrain.gauge.io/
