Continuous Delivery Office Hours Ep.8: AI efficiency and effectiveness

Steve Fenton’s discussion on AI efficiency argues that AI delivers limited value when applied without appropriate organizational and delivery foundations. It distinguishes between beneficiary users, who gain efficiency from AI, and end users, who may face frustrating chatbots, poorly generated documents, or automated decisions, emphasizing the need to consider automation’s impact on others. The piece also warns that cheaper and faster feature development can remove a natural constraint on product roadmaps, increasing the risk of feature bloat unless product managers maintain a clear vision and prioritize user value. Using a pizza oven analogy, it argues that software teams should pair human creativity in building changes with reliable deployment pipelines that consistently test safety and functionality, since accelerating development without improving the full path to customer use can produce large, risky, failure-prone releases.

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