Public AI Work: How Teams Actually Learn From AI

Podcast/Substack · ~16 min · Article · YouTube

• AI work in private chats is invisible to the organisation — it cannot be learned from, replicated, or scaled. Visibility is the precondition for institutional AI learning.
• Key case study: Shopify’s “River” workflow routes agent work through public Slack channels, creating real-time apprenticeship infrastructure where colleagues observe AI sessions as they happen.
• The “apprenticeship gap”: teams using private AI chats widen skill gaps between individuals; teams using public-facing AI workflows narrow them by making tacit knowledge visible.
• Nate provides three concrete prompts for capturing and sharing AI sessions as institutional knowledge assets — turning individual productivity gains into organisational capital.
• Practical takeaway: move AI work into shared spaces before optimising prompts. Organisational leverage comes from visibility, not from personal prompt quality.