Ep 800: Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask

For 799 episodes, we’ve cut it to you straight on AI.

(Episode 800 will be no different.)

To celebrate our 800th episode, we took a ‘State of AI’ type look across the sector and broke down three big categories:

8 Uncomfortable AI Truths, 10 Moves Smart Teams Are Making, 10 Questions Every AI Leader Must Ask.

Join us as we break it all down.

Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:
• Eight Uncomfortable AI Truths for Leaders
• AI Model Risk: Single-Model Dependency
• Moats Shifting to AI Operating Layers
• Workflow Design vs. Prompting in AI
• Static Business Artifacts Becoming AI Debt
• Workflow Automation and AI Task Reshaping
• Open Weight Models as AI Resilience
• Agentic AI: Operational vs. Theoretical Risks
• Ten Smart AI Team Moves Explained
• Portable AI Stack Building Strategies
• Workflow Mapping Before AI Tool Adoption
• Building Role-Specific AI Skill Packs
• Automating Reports and Briefings with AI
• Converting Static Files to Living Artifacts
• AI Agent Deployment: Read-Only Mode Testing
• Routing Work by Model Value and Cost
• Measuring AI Output Quality, Not Activity
• Red Teaming AI Workflows Beyond Models
• Capturing AI Decision Reasoning for Business
• Ten Critical AI Questions for Leaders

Timestamps:

00:00 Episode 800: 8 AI Truths, Leader Moves
05:40 Rising Trend of AI Super Apps
07:37 AI series and future capabilities
13:01 Challenges of AI Implementation
14:33 Impact of AI on Work Processes
19:44 Microsoft's open-source AI strategy
23:24 Avoiding shiny new AI tools
25:44 Using marketing skill packs
29:38 Criticism of human-in-the-loop systems
33:44 Managing AI and Cost Efficiency
35:50 Evaluating AI content effectiveness
40:15 Key questions for leaders
42:35 Challenges in AI workflow management
44:52 Evaluating AI costs and outputs
48:20 The rise of AI capabilities

Keywords:
AI truths, AI workflow automation, generative AI, artificial intelligence, AI model risk, single model strategy, business continuity, model export control, government AI policy, operating layer, AI super apps, codex, unified memory, large language models, agentic AI, workflow design, AI prompting, scheduled tasks, AI skills, context engineering, static business artifacts, organizational debt, AI native deliverables, autonomous AI, AI job redesign

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