2026 will be the year of AI highways.

2025 was Serpentine.

In 2025, artificial intelligence felt like a narrow mountain road for many companies.
Winding, confusing, often with no clear view ahead.
A lot was tried, tested, and adapted. PoCs were created, individual solutions were built, and use cases were considered in isolation. The operational benefits often fell short of the effort involved.

That was not a mistake.
It was necessary.

2025 was a phase of learning, feeling our way, understanding.
But learning is not a state in which one remains.

2026 changes the perspective.

AI becomes the highway.

Not because models are suddenly better at everything.
But because companies are starting to treat AI for what it is: a productive system that needs to be operated.

The focus is shifting.
Away from the question "What can the model do?"
Toward the question "How can it run stably, scalably, and responsibly in everyday life?"

Architecture comes to the fore.
Governance becomes a prerequisite, not a hindrance.
Data quality becomes a strategic resource, not a footnote in IT.

Agents no longer act as fragile experiments, but as reliable components of end-to-end processes.
Platforms replace tool collections.
Integration beats isolated solutions.

The real difference is not made in the laboratory, but in the factory.

Anyone still driving on winding roads in 2026 is not lacking AI.
What is lacking is the decision to seriously embed it.
What is lacking is a clear vision, a viable architecture, and the will to take responsibility.

My position is therefore clear:

• AI is no longer an experiment.
• AI is infrastructure.

It must be planned, financed, operated, and managed.
With clear roles, clear rules, and a clear impact on the business.

The real question is:
Will you be traveling on a stable, high-performance route with clear guidance in 2026?
Or will you continue on winding paths, slow, risky, and difficult to scale?

2026 belongs to those who don't admire AI, but master it.