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?

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

• The AI-Native Law Firm, with Ryan Walker of General LegalMeeting of the Minds · on Claude88 / 100
• How SSW turned AI into ½ their pipeline - Ulysses Maclaren, COO of SSWSaaS Stories · on Claude86 / 100
• Adamma Ihemeson on Building Autonomous AI Systems You Can TrustBack on T-R-A-C-K · on Claude84 / 100
• REBOOT: The Trust Advantage: How OpenText is Securing Canada’s Information LayerDisruptors · on Enterprise AI82 / 100
• The End of Software as We Know It: How AI Agents Are Rewriting HR, SaaS, and Organizational DesignAI First with Adam and Andy · on Claude81 / 100
• 657. Waziri Garuba, CEO of Harlem Labs, Introducing G.R.I.O.TUnleashed · on Claude80 / 100

• Securing AI Agents in the Enterprise: NanoClaw, Zero Trust Guardrails, and Governance at Scale78 / 100
• Do You Even Need That Trillion-Parameter Model?63 / 100
• Unstructured Data in an AI World71 / 100
• How Open-Source is Reshaping the AI Infrastructure Stack
• Vitamins vs. Pain Killers vs. Whippets - The Enterprise AI Adoption Problem