In this episode of the Scrum.org Community Podcast, Dave West is joined by Tony Hinkley, Chief Technology Officer for Avanade UK. Tony brings a rare combination of perspectives: seasoned engineer, Professional Scrum Trainer, and senior technology leader helping some of the world's largest organizations navigate AI adoption. Together, Dave and Tony dig into what AI is really doing to product teams, Scrum practices, and knowledge work at large. This is an honest, experienced, and energizing conversation about where we are, where we're headed, and what it means for everyone who cares about delivering value professionally and sustainably.
Key Takeaways
AI has disrupted professional services more than almost any other sector because knowledge, the core asset of consulting and IT services, is rapidly becoming a commodity. That's a wake-up call for all knowledge workers.
Scrum Teams are seeing real productivity gains from AI but those gains have moved the bottleneck. It's no longer about how fast developers can write code. It's about the quality of intent, requirements, and context being handed to the tools.
The principles behind Scrum haven't changed but how you implement them must. Your Definition of Done, for example, may now be enforced by an agent rather than a person. Are your standards clear and documented enough for that to work well?
Specialists get significantly better results from AI than generalists. First-principles thinking, clean code habits, and a strong sense of what "good" looks like are more valuable now than ever, not less.
Context is the new currency. Giving AI tools access to well-structured, well-governed organizational data and standards will unlock far more value than simply upgrading to the latest model.
Leaders face a real choice: use AI to cut costs, or use it to grow. Tony's strong recommendation is to invest freed-up capacity into the parts of your product organization that have always been under-resourced, strategy, ideation, stakeholder engagement, and product thinking.
Data governance isn't a dirty word anymore, it's a competitive advantage. Organizations that get serious about data quality, classification, and security will be the ones that get the most from AI. Garbage in still means garbage out, and the consequences are bigger than ever.
Mid-market companies should pay close attention. AI is leveling the playing field in a meaningful way, giving smaller organizations the ability to punch well above their weight in product delivery.
If you're feeling uncertain about your place in an AI-enabled world, start by embracing the tools. As Tony puts it: AI won't take your job, but someone who knows how to use it well might.
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