--- title: AI Is the Commodity. Management Is the Edge. url: "https://www.lubauram.com/blog/ai-is-the-commodity/" description: The organizations that succeed over the next decade will not necessarily be those with the best AI models. Here is what will make the difference. image: "https://www.lubauram.com/_assets/processed/O_nbnVfjy--V5RdLIW2XqftbPSGtOsF-JJ9Gs95lVHI/q:85/w:1366/h:768/fn:Y3NtX3NodWJoYW0tZGhhZ2UtVDlyS3ZJM04wTk0tdW5zcGxhc2hfMjZiODllODEwYw:t/cb:d0a8d81ca8394d7a06c49387c3b8762d97e9e100/bG9jYWw6L2ZpbGVhZG1pbi9CaWxkZXIvQmxvZy9zaHViaGFtLWRoYWdlLVQ5ckt2STNOME5NLXVuc3BsYXNoLmpwZw" date: 2026-06-11 modified: 2026-06-11 keywords: - AI Transformation categories: - (Digital) Transformation - AI - Highlights --- # AI Is the Commodity. Management Is the Edge. 11.06.2026 AI Is the Commodity. Management Is the Edge. ============================================== **A few weeks ago, I was in a leadership discussion about AI transformation. The conversation started exactly where most AI discussions start today. Models. Platforms. Agents. Vendors. Capabilities. For nearly half an hour, we debated which technologies would mature fastest, which architectures would scale, and which use cases would deliver the greatest value.** It was a good discussion. But it was also the wrong discussion. Eventually, I stopped the conversation. Not because technology does not matter. It does. But after leading technology and operations organizations for many years, I have become convinced that technology is no longer the hardest part of AI transformation. ### **The hard part is redesigning the company.** The organizations that succeed over the next decade will not necessarily be those with the best models. They will be those that rethink work, leadership, governance and operating models faster than their competitors. That is where I believe boards should be focusing their attention. Because AI is not simply another technology wave. It is the first technology wave that directly changes the structure of the workforce itself. **We Are Solving for the Wrong Problem** ---------------------------------------- When I hear executives discussing AI, the question is often: “How do we use AI?” I increasingly believe the better question is: “What does our organization look like when a significant percentage of work is no longer performed by humans?” That may sound provocative. But it is already happening. Across industries, AI systems are reviewing documents, answering customer questions, generating software, analysing contracts, creating reports and supporting decisions. Microsoft’s research describes the emergence of “human-agent teams” where digital workers become part of everyday operations. ( Source: [Microsoft](https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born?utm_source=chatgpt.com)) The question is no longer whether AI will participate in work. The question is how we organize around it. **The Workforce Is Expanding** ------------------------------ For more than a century, workforce planning meant one thing - People. How many do we need? What skills do they have? How do we recruit, train and retain them? Over the next decade, workforce planning will expand beyond human resources. Every company will increasingly manage a mixed workforce consisting of humans and digital workers. That changes everything. The conversation shifts from: “How many employees do we need?” **to:** “What is the optimal combination of human expertise and digital capability?” The most advanced organizations are already experimenting with what Microsoft calls Frontier Firms - organizations built around hybrid teams of humans and AI agents. (Source: [Microsoft](https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born?utm_source=chatgpt.com)) I suspect future board meetings will discuss workforce composition in the same way they discuss capital allocation today. **The Operating Model Becomes the Competitive Advantage** --------------------------------------------------------- Every major technology eventually becomes available to everyone. Cloud computing did. Mobile technology did. AI will too. Technology alone rarely creates sustainable advantage. Operating models do. The winners will not simply deploy AI. They will redesign the organization around it. They will rethink: 1. How work flows across the company 2. How decisions are made 3. How accountability is assigned 4. How risks are managed 5. How humans and digital workers collaborate Many leaders still see AI as a productivity tool. I increasingly see it as an organizational design challenge. And organizational design is ultimately a leadership responsibility. **The Most Disrupted Role May Be Management** --------------------------------------------- There is a common assumption that AI will primarily transform operational roles. I am not sure that is true. Many management activities today revolve around coordination. Gathering information. Monitoring performance. Escalating issues. Producing reports. Tracking execution. AI is becoming remarkably capable in exactly those areas. The manager of the future may spend less time supervising activity and more time designing systems. Less time checking progress. More time defining boundaries. Less time allocating work. More time orchestrating capability. The role does not disappear. It becomes more strategic. In many ways, managers will move from being supervisors to becoming architects of human-machine collaboration. **Skills Will Matter More Than Titles** --------------------------------------- The World Economic Forum estimates that a significant share of today’s core skills will change by 2030 as technology reshapes work. Analytical thinking, adaptability, resilience, leadership and AI literacy are among the fastest-growing capabilities. ([World Economic Forum](https://www.weforum.org/publications/the-future-of-jobs-report-2025/?utm_source=chatgpt.com)) What strikes me is that many of the most important future skills are deeply human. Judgment. Creativity. Empathy. Leadership. Systems thinking. These are not skills that become less important because of AI. They become more important. As machines take on execution, humans become increasingly responsible for direction. **A New Agenda for Boards** --------------------------- Historically, technology was delegated. The board approved investments. Management implemented them. AI is different. AI directly influences workforce design, governance, risk management, productivity, customer experience and competitive positioning. That makes it a board-level topic. But perhaps not for the reasons many people think. The board should not spend most of its time debating models. It should be debating questions such as: - What work should remain uniquely human? - What decisions can be delegated to machines? - How do we preserve accountability? - How do we redesign management? - How do we measure productivity in a hybrid workforce? - What capabilities will define leadership in ten years? These are not technology questions. They are questions about the future of the enterprise. **The Real Transformation** --------------------------- When I think about AI, I increasingly spend less time thinking about models and more time thinking about organizations. Technology will continue to evolve. New models will emerge. Today’s platforms will eventually be replaced. That is the easy part. The harder challenge is helping thousands of people adapt to a fundamentally different way of working. The harder challenge is redesigning operating models built for an industrial age and preparing them for an age of human-machine collaboration. That is why I believe the most important AI conversation is not happening in technology teams. It should be happening in executive committees and boardrooms. Because the real transformation is not technological. It is organizational. And the organizations that understand that first will have a significant advantage over those that do not. \_\_\_\_\_\_\_ Sources: ? ? --- #### Categories - [(Digital) Transformation](https://www.lubauram.com/blog/kategorie/transformation/) - [AI](https://www.lubauram.com/blog/kategorie/ai/) - [Highlights](https://www.lubauram.com/blog/kategorie/highlights/)