What are the incentives to share AI learning curves with teammates?

Episode notes

SUMMARY: When we get to the end of 2026, how will enterprise companies be measuring the success of their AI projects? And how well will their teams be sharing their AI learning curves? SHOW: 1034 SHOW TRANSCRIPT: The Enterprise AI Show #1034 Transcript SHOW VIDEO: SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo OutShift - “Scaling Out Superintelligence” The Internet of Cognition architecture ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! SHOW NOTES: Why AI Economics are changing How will team collaboration evolve with Enterprise AI? Topic 1 - How do we measure AI-adoption success? Number of workloads? Financial metrics (Spend, ROI, Costs-Saved, etc.)? Speed improvements? People-level? Topic 2 Right now the AI tools are very individual-centric The machinery to share, even at the basic enterprise-level, is very difficult The experience to share is non-deterministic, just as everyone’s working style is different. Topic 3 - The motivation to share is still unknown. How do you encourage collaboration when so many companies are laying off people, or the specter of that happening is growing?

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