It isn’t the technology. It isn’t the budget, the vendor selection, or the integration complexity. In most cases, when a digital or AI initiative loses momentum, when tools go underused, when adoption plateaus, when the pilot never becomes the standard, the cause is something far less tractable than a technical problem. It is how people work together, or don’t. 

Jutta dos Santos Miquelino, Co-CEO of and dos Santos and one of Europe’s most experienced transformation advisors, has watched this pattern repeat across industries for over 25 years, from P&G to Storck to Sony, and now deeply in the rail sector. Speaking at railXchange 2026, she made an argument that is uncomfortable precisely because it is true: the rail industry is not primarily being held back by old technology or insufficient investment. It is being held back by the quality of its collaboration, and by a collective failure to recognise that improving that quality is not a soft priority. It is the strategic lever. 

Three futures, and who decides which one arrives

Jutta opened with a framework she returns to frequently in her work: when any organisation or industry faces transformative change, three futures are always competing. 

The first is utopia: the four-day week, abundance without sacrifice, technology serving everyone well. The second is dystopia: Skynet, job extinction, machines making decisions that should belong to humans. The third, and the only one that is actually available, is the future we consciously shape. 

The reason this framing matters for rail is that most of the industry is currently oscillating between the first two without doing the work to inhabit the third. Leaders either dismiss AI as overhyped or fear it as existential. Very few are asking the harder question: given what this technology can do, what kind of organisation do we need to become in order to use it well? 

That question cannot be answered by a technology team. It requires a different way of working together – one that most rail organisations have not yet built. 

What complexity actually demands

The rail sector likes to describe itself as uniquely complex. And it is fragmented infrastructure, multi-operator dependencies, legacy systems, regulatory layers, disruption as a daily operating condition rather than an exception. But Jutta’s point was that this complexity is not a reason to delay transformation. It is precisely the condition under which the old models of coordination break down and something better becomes necessary. 

Hierarchical control, the instinct to escalate every problem, to manage rather than trust, to optimise individual functions rather than outcomes, works tolerably well in stable, predictable environments. Rail has never been that, and is becoming less so. The more systems interact, the more operators depend on each other’s data and decisions, the more a train driver’s disruption in Düsseldorf affects a terminal in Rotterdam, the less a command-and-control structure can keep up. 

What complexity actually demands is not tighter control. It is faster, more honest, more distributed decision-making. And that only happens when people trust each other enough to share what they know, flag what isn’t working, and act without waiting for permission from three levels up. 

In her coaching work with Deutsche Bahn leadership, twelve senior managers responsible for 8,000 employees, Jutta has seen this dynamic close up. The moment something goes wrong, boards call through to train drivers directly to find out what happened. The signal that sends is clear: we don’t trust the chain. And that signal, compounding over years, produces organisations where no one feels safe surfacing a problem until it is unavoidable. 

The 500% that nobody talks about

McKinsey has published long-term research, spanning ten years of studies, showing that people in flow states generate up to 500% more productivity than people who are not. Five times the output. From the same people, in the same roles, with the same tools. 

Jutta raised this number not as inspiration but as a provocation. The techniques for creating flow states, both individually and in teams, are well understood, widely available, and actively used in the highest-performing organisations in Silicon Valley and elsewhere. They are not secret. They are not expensive. What they require is a different way of thinking about what leadership is actually for. 

In the rail industry, she observed, almost no one knows how to get themselves into flow, let alone how to create the conditions for their teams. That 500% is sitting unrealised in organisations that are simultaneously worried about productivity, struggling to recruit, and wondering why their AI tools aren’t delivering the returns they expected. 

Conscious collaboration is not a feeling. It is a practice.

The phrase Jutta uses, conscious collaboration, is easy to misread as motivational language. It is not. It describes three specific, learnable behaviours that she argues must be present for complex organisations to function well under pressure. 

The first is personal accountability for the quality of interaction. Not waiting for culture to improve from the top, not pointing at the other department, but taking responsibility for how you show up in every meeting, every handover, every moment of friction. 

The second is the capacity to hold different opinions without the discomfort triggering shutdown. Rail organisations are full of people who know something is wrong but stay quiet to keep the meeting moving. That silence is not harmony. It is how bad decisions get made and stay made. Genuinely different perspectives only contribute value if there is enough psychological safety, and enough shared purpose, for them to be named without career consequence. 

The third is a common sense of the larger goal. Not the project goal, not the quarterly target, but the answer to the question: why does this work matter? In rail, that answer is actually powerful: safer, more reliable, lower-carbon freight and passenger transport at a time when roads are congested and climate commitments are mounting. When teams lose connection to that larger purpose and get absorbed by the operational grind, decision quality drops. When they hold it consciously, something different becomes possible. 

What AI is actually accelerating 

Jutta’s final argument was the one that made the room quietest. AI, she said, is not just accelerating the productivity of tasks. It is accelerating the need for human consciousness. 

The values we embed in AI systems, the decisions about what they optimise for, who they serve, where human judgment must remain in the loop, are being made right now, by the generation that is deploying these systems. That window is not permanent. The organisations and industries that engage with those questions seriously, that bring their own values and domain knowledge to bear on how AI gets used, will shape the outcome. Those that treat AI as someone else’s problem, as an IT matter, a compliance question, a thing to delegate, will find themselves on the receiving end of decisions they had no hand in making. 

For an industry as consequential as rail, carrying goods across Europe, employing hundreds of thousands of people, operating the infrastructure that a low-carbon logistics future depends on, that is not a responsibility to outsource. 

The shift Jutta describes, from ego to ecosystem, from control to trust, from coordination to collective intelligence, is not a philosophical aspiration. It is the operating system that complex, AI-augmented organisations will need to run on. And it is available to those willing to do the work. 

 

Jutta dos Santos Miquelino is Co-CEO and Partner at and dos Santos, a transformation consultancy working with organisations across Europe. She is the author of The Glass Elevator. She spoke at railXchange 2026 in Frankfurt.