Kleinere teams. Senior Product Owners en Developers. Sneller bouwen en releasen. Kortere feedbackloops.
September 17, 2026
The future of product development may look very different from what we're used to. For years, organizations have grown their development teams to deliver more features, faster. More developers, more coordination, more meetings, and often more complexity. But what if the next big improvement in productivity comes from smaller teams rather than bigger ones? AI is changing what a single professional, or a small team, can accomplish.
Imagine a product team of three or four experienced professionals, supported by AI tools that help them analyze, design, code, test, and deploy software. Work that previously required several specialists and multiple handovers can increasingly be completed within one team. This doesn't mean every team should become smaller. It means organizations can rethink how many people and roles are needed to deliver a valuable product.
AI makes it easier to produce code, documentation, prototypes, and analysis. But generating output is not the same as creating value. Experienced professionals know which problems are worth solving, which assumptions need testing, and when an AI-generated solution simply isn't good enough. As AI takes over more routine activities, critical thinking, technical judgment, and product expertise become increasingly valuable.
AI is moving beyond being a tool for answering questions. AI agents can already support development workflows, automate repetitive activities, and help teams explore solutions. Imagine developers working with coding agents, Product Owners analyzing customer needs with AI, and automated testing providing feedback continuously. The result could be shorter feedback loops, faster experimentation, and less time spent coordinating work.
Smaller teams supported by AI may be able to deliver usable product increments more frequently. But speed alone is not the goal. Scrum's focus on transparency, inspection, adaptation, and value remains just as relevant. Teams still need a clear Product Goal, effective collaboration, and frequent customer feedback. AI can accelerate delivery, but it cannot determine what customers truly value.
The biggest opportunity is not simply reducing headcount or cutting costs. It's enabling talented people to accomplish more, remove unnecessary dependencies, and bring valuable products to customers sooner. Organizations that invest in experienced professionals, AI fluency, and simpler ways of working may gain a significant advantage. The future may not belong to the organizations with the largest development teams.
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