Food for Agile Thought #480: AI and Jobs, Adopting the Product Model, Product Meets Revenue, Future of Agility

TL; DR: AI and Jobs — Food for Agile Thought #480

Welcome to the 480th edition of the Food for Agile Thought newsletter, shared with 42,711 peers.

This week, we feature Anthropic’s Economic Index, which tracks AI and jobs, showing a preference for augmentation over automation. Richard Hanania argues AI job fears are overblown, pointing to historical resilience. Ben Thompson examines OpenAI’s Deep Research, an AI-powered assistant that synthesizes vast information but raises concerns about knowledge gaps and secrecy. In agility, Simon Powers dissects why Agile transformations stall — citing lack of authority, iterative adoption struggles, and hidden budgets. Adrian Howard debunks common Scrum misconceptions, showing that most criticisms stem from misuse rather than the framework itself. Also, Ken Schwaber reflects on Scrum.org’s founding, tackling assessment challenges, certification culture, and the deeper purpose of Scrum education.

Next, we dive into AI’s evolving role in product management, strategic alignment, and organizational transformation. Peter Yang shares a week in AI-powered product leadership, revealing 17 impactful use cases that enhance strategy, design, and decision-making. Teresa Torres & Hope Gurion challenge organizations on their readiness for the Product Operating Model, and Arne Kittler explores the intersection of product…