The real DMEXCO trend? It’s not AI – Why competition is now being decided on an entirely different level

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24.9.2026

AI agents are becoming increasingly capable. The key question is no longer what they can do. It is now what they should be allowed to do. DMEXCO 2026 made one thing clear: as AI becomes a foundational technology, governance, trust and intelligent experience systems are emerging as the real guardrails for the future. Drawing on five DMEXCO trends, we look at what businesses should be paying attention to now.

The AI debate is reaching a new stage of maturity

AI has rarely been as prominent at DMEXCO as it was in 2026. From marketing and commerce to customer service, content production and data management, it was everywhere. At the same time, it became clear that AI is no longer a shiny new buzzword. The question of whether companies should use AI seems largely to have been answered.

Instead, there was a notable shift in the conversations. The discussion is moving away from individual use cases and technological possibilities towards the challenges of scaling and governance. Many companies are already running pilot projects and have live applications or agent-based solutions in place. The central challenge now is to make them work sustainably, securely and across the whole organisation.

So the real surprise of DMEXCO 2026 wasn’t the next generation of AI applications. It was the change in perspective among many decision-makers.

1.  The key question is no longer ‘What can AI do?’ but ‘What should AI be allowed to do?’

Until recently, finding the right AI use cases was the main focus. At this year’s DMEXCO, however, it became clear that many companies have already moved on. The central challenge today is no longer introducing AI. It is governing it responsibly. The rise of agentic AI is accelerating this shift. AI systems no longer just analyse information or create content. They carry out research on their own, make decisions, trigger processes and interact with company systems. Against the backdrop of current debates about the potential dangers of uncontrolled AI systems, this fundamentally changes the nature of the question

It is no longer: How can we use AI?
It is: Which decisions should AI be allowed to make on its own and which not?

As autonomy grows, so do the demands on governance, transparency, risk management and human oversight. Companies need to define:

  • what data an AI agent is allowed to see,
  • which systems it may access,
  • which actions may be carried out automatically,
  • when a human needs to step in
  • and who is ultimately accountable.

This is exactly where a new strategic discipline is emerging: agentic AI governance. The companies that get the most out of AI in the coming years won’t necessarily have the most powerful models. They will have the best rules, controls and decision-making structures for running autonomous systems in live operations.

2. Customer experience is becoming the central orchestration layer for AI

Customer experience, customer centricity, CRM and personalisation were among the most visible themes at the DMEXCO. The role of customer experience has also changed noticeably. It now determines where AI creates genuine added value, which interactions should be automated, and how efficiency gains can be balanced with trust and brand perception.

3. The platform era is giving way to the era of intelligent systems

MarTech, AdTech, CRM, data analytics and marketing automation are converging more and more. At the same time, many companies are grappling with the reality of data silos, complex technology landscapes and poor activation of the data they already hold. Many organisations today don’t have too little technology. They have too many isolated solutions. That is why the central strategic question is shifting.

It is no longer: Which platform is the right one?
It is: How do we build a system that continuously generates business value?

The most successful companies won’t be the ones with the most tools. They will be the ones that bring data, technology and processes together into intelligent experience systems. Tomorrow’s competitive advantage won’t come from more technology, but from orchestrating it intelligently.

4. Visibility is being redefined

Search, SEO and new forms of AI-powered search were also among the defining discussions at DMEXCO. Generative search experiences, large language models and digital assistants are changing the way people find information and make decisions. The logic of optimisation is moving on from classic search engine optimisation towards AI search optimisation, visibility optimisation and answer engine optimisation.

In future, the key question will no longer be simply: How do I get found?
It will be: How do I become part of the answer?

For B2B companies in particular, this opens up a new strategic field that goes well beyond traditional SEO.

5. The next generation of experiences will be designed for people and AI agents

Conversational marketing and AI together formed one of the clearest focal points of the event. At the same time, agentic AI moved further into the spotlight. In future, it won’t only be people who interact with brands. AI agents will research information, compare products, prepare purchasing decisions and see transactions through. This fundamentally changes what digital experiences need to deliver. Websites, commerce platforms and service offerings will need to be intuitive for people to use. At the same time they will also need to be understandable, accessible and actionable for intelligent AI systems.

So the question is no longer: How do we build a better chatbot?
It will be: How do we design experiences for a world in which AI takes action, gives advice and makes decisions?

Conclusion: Neither use cases nor governance alone are the real competitive advantage

The biggest mistake many companies make is believing that AI in itself is a competitive advantage. In reality, it is becoming a commodity, just as cloud, mobile and e-commerce did before. Use cases can be copied, models can be bought in and governance can be standardised. The winners of tomorrow won’t have the better AI; they’ll have the better customer experience. The real challenge, then, is no longer ‘How do we use AI?’ but ‘How do we use AI to create experiences customers wouldn’t want to be without?’

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