AI Already Knows Your Slang. Your IT Department Doesn't

John Munsell built a framework. Ten levels of AI mastery. Governance tabletops. Executive alignment workshops. Tools for turning C-suites from AI-curious to AI-fluent in eight weeks flat. It's a legitimate, well-built machine — and machines, by design, leave some people standing outside them.

This episode is the boardroom's version of the AI story: governance, ROI, the architecture of adoption at scale. It's smart. It's useful. And about halfway through, you'll notice it's also missing a floor — the one underneath the floor, where actual humans are out here remixing Arabic, Patois, and English into something no LLM was trained to flatter.

KEY COORDINATES:

• Why AI got accepted before it ever got adopted — the first technology curve to invert itself in public, in real time
• The 2011 NLP sentiment-analysis wars, and why "that's so sick" broke every dictionary-based algorithm built before slang did
• What Toronto's linguistic convergence — Arabic, Patois, English, colliding daily — reveals about whose language AI was actually built to understand
• The SaaS governance failure of 2009 nobody solved, quietly replaying itself under a new acronym
• Ten levels of AI mastery, mapped against zero levels of cultural fluency