About this episode

The episode discusses the reasons behind AI project failures in small businesses and emphasizes the importance of addressing underlying issues before automation.

Most AI projects fail before they start because businesses skip the most important step: figuring out what's actually broken. Jason Padgett and Adam Staples unpack why clarity has to come before automation, what the recent Claude code leak actually tells us about AI development culture, and whether the current wave of AI layoffs is real efficiency or EBITDA spin. Key topics covered: Why small businesses can't follow the enterprise AI playbook — resources, talent, and timeline don't match "You cannot automate chaos" — Chakra BPC's process-first approach to AI deployment The Turing test in real life: an AI-written newsletter that fooled a credentialed English teacher OpenAI's media network acquisition and what AI-controlled journalism does to independent coverage The Claude source code leak: human error, competitive ethics, and the "honor among thieves" argument AI layoffs at companies like Salesforce — EBITDA cover story or actual automation gains? Why liberal arts and communication skills are becoming the most valuable AI adjacency What data science and CS graduates should be targeting instead of big tech entry-level roles SpaceX IPO timing, AI company…

People in this episode

Guests: Jason Padgett, Adam Staples

Topics covered

• AI in small business
• automation challenges
• AI layoffs
• AI development culture
• process-first approach
• media and journalism
• AI education

Keywords

• AI failure
• small business
• automation
• Claude code leak
• AI layoffs
• process improvement
• media ethics
• data science careers

Mentioned in this episode

Organizations: Chakra BPC, OpenAI, Salesforce, SpaceX

Products: Claude

Books & works: AI-written newsletter

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