Telenor’s Kaaren Hilsen on Launching Norway’s First AI Factory – Episode 247

The podcast features Karin Hilson, Chief Innovation Officer at Telenor and head of the Telenor AI Factory, detailing the creation of Norway’s sovereign generative AI cloud service. The project was born from a confluence of visions: the NVIDIA-driven idea that every nation should own its AI production capacity, and Hilson’s personal passion for leveraging digital infrastructure for sustainability. She identified a critical need for a secure, sovereign, and environmentally responsible AI computing platform within Norway, especially as AI demand increases the energy footprint of data centers.

The AI Factory’s development story is one of remarkable speed and a startup mentality within a large telco. Beginning less than a year prior to the interview, Hilson and her team operated with minimal initial resources, embracing uncertainty. They circumvented traditional corporate governance by establishing a new legal entity and a small, agile team focused on “speed over perfection.” Their go-to-market strategy was validated by quickly securing two foundational customers: Telenor itself (for internal, secure AI development) and an external logistics/robotics company called Hive Autonomy. This dual approach allowed them to learn and build confidence simultaneously.

The service specifically targets customers with sensitive data and a clear problem-solving focus, rather than those just experimenting. Key early adopters include organizations in logistics, healthcare, and public sectors that require data to remain on Norwegian soil due to strict security, sovereignty, and regulatory requirements. A major differentiator is the commitment to sustainability, achieved through a partnership to build a state-of-the-art data center where all excess heat is captured and redirected to heat nearby apartments, creating a circular energy model.

Surprising Insights

• A major telco like Telenor successfully built and launched a sovereign AI cloud service in under a year by operating like a nimble startup, creating a separate legal entity to avoid slow corporate processes.
• The initial “success” metric for the project was simply signing two customers (one internal, one external), highlighting a focus on practical validation over elaborate planning.
• The primary demand driver for the sovereign AI service isn’t just raw computing power, but a strict requirement from Norwegian organizations (in logistics, health, police) to keep sensitive data physically within national borders.
• The AI Factory’s data center is designed not just to use renewable energy, but to be a net contributor to local heating, with all excess heat piped out to warm residential apartments.
• Hilson’s primary personal use of AI is as a collaborative dialogue partner to help brainstorm and refine ideas, particularly to engage with her teenagers on their homework, viewing it as a “trigger for dialogue” rather than a cheat.

Practical Takeaways

• Embrace “Speed over Perfection”: When innovating in a fast-moving field like AI, adopt a startup mindset. It’s better to launch a minimum viable product (MVP) and learn from real customers than to wait for a perfect solution.
• Start Internally to Build Confidence: If developing a new product or service, use an internal customer first. This creates a safe environment to test, learn, and refine your offering before taking it to the external market.
• Solve Specific Problems, Not General Ones: Successful AI adoption comes from addressing well-defined business cases (e.g., logistics optimization, secure document translation) rather than offering generic “AI capabilities” for exploration.
• Sustainability as a Core Feature: When planning compute-intensive projects, integrate energy efficiency and circular economy principles (like heat recapture) from the start. This can become a major competitive advantage and align with growing regulatory and customer expectations.
• Partner Strategically: For complex undertakings, identify and collaborate with expert partners (e.g., for data center construction, energy management) to complement your core competencies and accelerate development.