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Are you ready to prove your knowledge of using AI as a Product Owner? The Professional Scrum Product Owner™ - AI Essentials Certification is now available! This certification validates your knowledge of applying Artificial Intelligence as a Professional Scrum Product Owner. Learn more: https://ow.ly/v1nQ50Zbbej

Everyone’s a Manager Now. Is Your Organization Ready?

AI tools don’t just change how work gets done, they change who’s responsible for it. When every employee delegates tasks to an AI, evaluates its outputs, and owns the results, they’re not just using a tool. They’re managing one.

That’s a problem most AI strategies haven’t accounted for. Decades of research show that developing management capability at scale is one of the hardest things to achieve. Yet today’s AI governance frameworks quietly assume this capability exists everywhere: in every team, at every level, across every role. When it doesn’t, the risks are real. Decisions made without scrutiny, accountability that belongs to no one, and AI investments that generate activity instead of value.

This executive brief written by Darrell Fernandes, Executive Advisor at Scrum.org explores:
- Why AI governance is fundamentally a management discipline, not a technical one
- The specific failure modes that emerge when workers lack the skills to govern AI effectively
- What Lencioni’s and Watkins’ leadership frameworks reveal about AI adoption risk
- Three priorities for executive leaders before scaling AI across the organization

The organizations that get this right won’t just deploy AI more safely. They’ll build better leaders in the process.

Read paper: https://ow.ly/qxjU50Zc1IM

AI Transformation is inevitable. But how do you get started?

PST Mehdi Hoseini created a new series to give you some guidelines on how to start and go through your AI Transformation journey as a Scrum Team. This blog post outlines the first step he recommends: https://www.scrum.org/resources/blog/ai-transformation-scrum-teams-step-1

Here's a number worth sitting with: across 3,600+ value streams, development teams account for just 8% of end-to-end delivery time.

Which means if AI makes those teams 5x more productive, you've optimized a rounding error. The real constraints are everywhere else — planning, governance, innovation, alignment.

Most organizations are measuring AI ROI by token consumption and tickets closed. Those are output metrics. Outputs disconnected from customer outcomes are just expensive noise.

In the latest episode of the Scrum.org Community Podcast, Dave West sat down with Dr. Mik Kersten, author of the upcoming Output to Outcome, and a few things stuck with us:

- The constraint has moved. If you haven't found where your actual bottleneck is, your AI spend is largely theater.
- Overlay structures don't work. The agile operating model has to be the org chart — not run alongside it.
- Empowerment isn't optional anymore. When feedback loops get faster, the coordination cost of disempowered teams becomes unsustainable.

Tune in: https://ow.ly/Q04r50ZafxY

When you first start out as a Scrum Master, it can be difficult to get up to speed while taking on new accountabilities. Foundational Scrum knowledge is needed and then once you build that knowledge, you need to apply new skills to support and engage your team and organization toward the ultimate goal of delivering value.

For this reason, we have created a bundle of self-paced courses to help you learn and grow your capabilities. By purchasing the bundle of courses all together rather than a single course or one-at-a-time, you will receive a discount off of the total purchase price. Details here: https://ow.ly/WRb950Z9ncz

In this new blog, PST Mary Iqbal explains why keeping her entire to-do list in AI is the best organizational system she's ever used, and advises how you can get started doing the same. 📝 https://ow.ly/rPof50Z6isQ Rebelscrum