At CES in Las Vegas, a strategic shift is unfolding before our eyes: AI no longer stacks on top of platforms : it merges with them. For European companies, now is the time to choose between remaining a technology user or becoming an architect of their market.
Published on 2026-01-27 by Nathalie Lamborghini Dumas.
The confusion that costs dearly
In the aisles of CES 2026, everyone talks about "AI platform," "cloud platform," "ecosystem strategy" : often in the same sentence, rarely with the same definition. This confusion is not trivial: it leads companies to invest massively in technologies without ever questioning their strategic positioning.
Let's clarify. A technology platform is infrastructure: cloud, APIs, AI tools, development environment. A platform model (or platform business) is a way of organizing interactions between multiple groups of actors (customers, suppliers, partners) to create network effects.
You can perfectly use a technology platform without being a platform business. You can also orchestrate an ecosystem by combining several technological building blocks from different providers. Technology is just a means; ecosystem design is the real strategic decision.
AI transforms platforms into nervous systems
CES 2026 offers an illuminating metaphor, provided we complete it. The technology platform is the body (infrastructure, APIs, connectivity). AI becomes the brain (it interprets, learns, decides). But the essential is missing: the DNA : that is, the platform business model, which codes the rules of the game: which actors connect, how they interact, how value is created and distributed.
Without clear DNA, a body with a brain is an organism without identity. This is exactly what we observe in many companies that stack cloud and AI without having defined their role in the ecosystem.
"Software-defined" vehicles perfectly illustrate this coupling. The vehicle platform brings together embedded computing, connectivity and interfaces to third-party services. Perception AI, predictive maintenance and personalization come to "think" with this data to orchestrate value : for the driver, the manufacturer and the entire partner ecosystem.
What fundamentally changes: whoever controls the AI models, data and interfaces occupies a de facto orchestrator position, even if their platform looks "just" like a technical service.
From transactional platforms to decision-making platforms
The first platform models (marketplaces, app stores, B2B hubs) were transactional: they matched supply and demand and charged along the way. At CES 2026 a new generation of decision-making platforms emerges.
Three major shifts are taking shape:
The strategic question changes radically: it's no longer "which tech to adopt?" but "where are the decisions that structure our market being made : and on what data do they rest?"
User or architect: the choice that must be made now
Facing this intertwining of AI and platforms, two postures emerge for companies:
My conviction is clear: European SMEs and mid-caps possess underutilized assets that can feed the "intelligence" and "infrastructure" layers of future sector platforms. Business data, industrial capabilities, trust relationships woven over decades : all assets that global giants cannot replicate.
Four questions to cut through the confusion
To articulate platform and AI without getting lost, I propose a framework of four questions. - Technology platform: which infrastructure building blocks are strategic for our assets, and which can remain commodities with third parties? - Platform model: where do we have the legitimacy to orchestrate interactions between multiple groups of actors, rather than staying in a linear model? - Ecosystem: which partners do we want to attract, on what perimeter, and around which concrete use cases? - Artificial intelligence: which decisions can we entrust to models and agents, and which do we want to keep under direct control?
The challenge is not technological, it is entrepreneurial
CES 2026 shows that value creation is shifting toward actors capable of answering these questions coherently. The challenge is not choosing between platform or AI, but deciding how to combine them to occupy a lasting place in the ecosystems that are already reshaping markets.
European companies that can move from the user posture to the architect posture won't just "do AI." They will define the rules of the game for their sectors.
This is when that choice is made. And it's an entrepreneurial choice, not a technological one.