Why Vertical AI is increasing the value of expertise
While AI lowers the barrier to creating software, it does not lower the bar for deploying software into production.
Summary
- AI makes building software easier, but expertise more valuable. The real challenge is turning AI-powered ideas into trusted, production-ready solutions.
- Governance and domain knowledge are becoming key differentiators. Success with AI requires expertise in security, compliance, architecture and responsible deployment.
- The future is not people vs. AI, but people + AI. Organizations that combine AI’s speed with human judgment, trust and deep customer understanding will create the most value.
The ability to transform a creative idea into a working concept is becoming accessible to a much broader audience. That is a remarkable development, but it should not be confused with the ability to build production-ready solutions. Building complex applications with the right architecture, security, governance, scalability and operational guardrails still requires deep professional expertise.
In fact, I would argue that the more powerful AI becomes, the more important that expertise becomes. The narrative around AI is often framed as if developers are somehow becoming less relevant.
I believe the opposite is happening.
As organizations increasingly rely on AI, expertise shifts rather than disappears. Teams need to understand how different models behave, where their limitations lie, how outputs should be validated, how token consumption can be optimized, how data should be protected and how compliance requirements can be met. They also need to make informed decisions about governance, accountability, ownership and operational reliability. As AI becomes more deeply embedded in products and services and are more verticalized, these responsibilities only become more important.
Last week, we hosted a Vertical AI Immersion Day, bringing together management teams from across our divisions alongside our group leadership team.
The goal wasn't simply to talk about Vertical AI. It was to experience it.
Like many organizations, we've spent the past year discussing the opportunities and implications of AI. Across industries, boardrooms and product teams, the conversation seems unavoidable. Every strategy session, technology roadmap and conference agenda includes AI in one form or another.
And for good reason. We are witnessing one of the most significant technology shifts of our generation.
But as I listened to the discussions and observed the experiments throughout the day, I found myself reflecting on a different question.
What is the actual change we're facing?
Not from a technology perspective, but from an organizational and human perspective.
Much of the public discussion around AI focuses on productivity. AI can generate code, summarize information, create presentations, analyze data and automate tasks. The assumption often follows that we will simply become faster, more efficient and more productive.
There is certainly truth in that. But I increasingly believe that focusing only on productivity, risks missing the bigger opportunity and perhaps the biggest challenge.
For organizations like Topicus, the more important question is where expertise creates value in an AI-driven world.
That realization became particularly clear during our Immersion Day. As part of the event, we organized a mini hackathon. Our leadership teams were divided into small groups and challenged to create an entirely new application within just a few hours.
The results were remarkable.
Teams rapidly transformed creative ideas into working concepts. Applications that would previously have required significant technical effort were suddenly within reach. The speed at which people were able to move from an idea to a functioning prototype was genuinely impressive.
What stood out to me was not the technology itself. It was how quickly creativity translated into something tangible.
People whose primary responsibilities had shifted toward leadership, strategy and business outcomes were now exploring customer journeys, designing features, connecting systems and testing assumptions. The distance between an idea and a working application has become dramatically smaller.
That is incredibly exciting. It unlocks innovation and encourages experimentation. It enables far more people to contribute to solving customer problems.
However, it also led us to a second and perhaps even more important conclusion: Creating an AI-first application is one thing. Creating a trusted vertical software product that can operate in the real world is something entirely different.
"AI may lower the barriers to building software, but it doesn't lower the bar for building software that customers can trust."
Why modularity is a strategic imperative
As management teams, we concluded that this new reality requires us to become much more familiar with the platforms, tools and technologies that are shaping it. Not because leaders need to become engineers, but because the decisions surrounding AI are increasingly strategic.
During the Immersion Day, it also became clear that deploying AI across an organization involves far more than selecting a model or adopting a tool.
Leaders increasingly need to make deliberate choices about how AI is integrated into the organization. Questions around platform strategy, governance, intellectual property, customer environments, token consumption, cost management and the boundaries of autonomous decision-making are becoming everyday business decisions.
These topics no longer sit exclusively within technology teams. They increasingly shape product strategy, customer trust, risk management and ultimately our competitive position.
In many ways, this is where the next phase of AI adoption begins: not with experimentation, but with building the structures, controls and capabilities that allow organizations to scale AI responsibly and sustainably.
This is particularly relevant for organizations like Topicus. We build software in industries (vertical markets) where trust matters deeply. Our customers operate in environments shaped by regulations, complex processes and high expectations. Over many years, we have built a set of strengths that I believe become even more valuable in an AI-driven world.
At Topicus, these strengths form the foundation of how we create value. Over many years, we have built deep domain expertise in the vertical markets we serve, reliable software that supports critical processes every day, close relationships with our customers and extensive implementation and operational experience. Together, these capabilities allow us to understand not only how technology should work, but also how it is used in practice and how it creates value for customers.
As AI moves from experimentation into production environments, these strengths become increasingly important. Our customers need partners who understand not only the technology, but also the operational, regulatory and organizational realities surrounding it.
The value we create has never come from technology alone. It comes from the combination of those strengths. Rather than diminishing these advantages, AI puts an even greater premium on them.
Organizations operating in critical domains will continue to demand solutions that are secure, compliant, reliable and explainable. They will continue to expect partners who understand their challenges, their regulations and the consequences of getting things wrong.
That is why I do not believe AI diminishes the importance of developers, architects, product managers and domain experts.
Their role will undoubtedly evolve. Less time may be spent writing boilerplate code. More time may be spent orchestrating systems, validating outputs, designing architectures, implementing guardrails, governing AI usage and solving increasingly complex business problems.
But those responsibilities are not becoming less important. They are becoming more important.
Perhaps that was the most significant lesson from our Vertical AI Immersion Day. The future is not about choosing between people and AI. It is about combining the strengths of both.
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AI will continue to accelerate development and unlock new possibilities.
The organizations that create the most value will still be those that successfully combine technology with expertise, judgment, trust and a deep understanding of their customers.
What gives me confidence is that I already see this shift happening across Topicus. I see teams experimenting and shipping products responsibly. I see people learning new skills. I see discussions emerging around governance, intellectual property, more customer value and new product opportunities. Most importantly, I see colleagues approaching these developments not with fear, but with curiosity and ambition.
And if that's any indication of what lies ahead, I believe our greatest opportunities are still ahead of us.