Everyone is talking about AI – but what are we really doing?

The past year has – like many others – been characterized by a fast pace, exciting experiences, great expectations and rapid technological changes. For my part, it has also provided room for reflection, professional deepening and new opportunities, particularly in the field of AI and strategy. This deepening takes, among other things, the framework and curriculum literature from the master's course Generative AI for Business at BI, combined with practical exploration of various AI models and areas of application.

This post marks the start of a series where in 2026 I will share reflections, frameworks and experiences around what AI actually means in practice – not just as technology, but as a management and business discipline.

The background is simple: AI is often referred to as either a miracle tool or as something diffuse and technical. At the same time, I find that many managers – quite naturally – reduce AI to what they see in everyday life: ChatGPT, Copilot, a bit of automation. It gives a feeling of being "in progress", but also an uncertainty about what this really means strategically.

The curriculum book "Generative AI for Business - a guide book" by Shubin Yu has been a good starting point for clearing this up. Not because it provides all the answers, but because it puts AI into a clear business and management context: value creation, decisions, organization, risk and people.

At the same time, working with AI has made me see previous experiences in a new light. Much of what we previously called IoT, sensor technology, automation and robotisation, now appear as parts of the same ecosystem - where AI acts as a powerful accelerating layer.

I hope this series can contribute to reflection, discussion - and some necessary realizations. For me, this is also an exciting journey of sharing, where I explore an area of ​​expertise that is still new to me, but which I find very inspiring to build my own expertise in. The ambition is both to learn further myself, and hopefully to contribute useful insight to others.

I am happy to have the dialogue here on LinkedIn, or over an informal coffee conversation, with others who are curious about how AI can actually create value in practice.

This will be my last post in 2025. Thank you for this year - I hope the year has provided room for both development, learning and good conversations. We will continue in 2026.