The pilot phase can be a dangerous comfort zone. In a pilot, almost everything can look promising. The demo works. The use case makes sense. The room nods. But then AI meets the real business. Messy data. Legacy systems. Security demands. People who need answers they can actually act on.
And while companies are working through all of that, the world outside is not slowing down. In parts of the world, including China, AI is already being built into products, production and business models at industrial speed.
That changes the question. It is no longer: can — or should — we test AI? The question today is: How do we move beyond AI pilots and build AI into the business?
At AI Summit 2026, you will get multiple perspectives and cases on what comes next.
Please note: the event is primarily intended for people working in manufacturing companies.
On Stage
Protect Your Production from Cyber Threats Before It’s Too Late
Rickard Nilsson, Advenica
Why Data Is Still Industry’s Biggest AI Bottleneck
Melina Katkic & Gustav Tindberg, NordAxon
China Is Building AI at Highway Speed – When Will Sweden Leave the Test Track?
Jan Tigerström, RISE
AI as a ”Canary Bird”: Can the Product Lifecycle Handle Reality?
Sven Wejfeldt, Tetra Pak
From Timber to Pallet with AI-Trained Eyes
Oscar Elzén, Åsljunga Pallen & Stina Åkesson, Softhouse
You will leave with:
A clearer picture of why AI pilots often stall
Better questions to ask before scaling AI further
Examples of how companies are working with AI in real industrial environments
A stronger understanding of the gap between testing AI and building AI into the business
