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Can AI Help? A Framework to Position Use Cases
To assess whether artificial intelligence (AI) can be helpful in a given task, it’s useful to consider two dimensions of work: conceptual complexity and data processing intensity. At the simplest level, low conceptual complexity and low data requirements, we find tasks like basic arithmetic. These are straightforward and have long been automated. As we move up the…
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Microsoft Report on Working with AI: Benefits, and Risks to Social Skills
While Microsoft’s report, coming from a leading player in AI and based in part on survey data, presents an optimistic view of AI adoption, it also outlines interesting decision points for companies and a generic roadmap. Beneath the enthusiasm, however, the report hints at emerging concerns around workplace social dynamics. Specifically, in explaining why…
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How Long Until Artificial General Intelligence (AGI)?
Artificial General Intelligence (AGI) refers to AI systems with broad, human-level cognitive abilities: the capacity to reason, learn, and adapt across a wide range of tasks, not just a narrow domain like playing chess or recognizing faces. Some prefer to talk about human level intelligence. For decades, AGI was always “20 to 30 years…
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In the Age of AI: From Porter’s Five Forces to Constructing Markets
Are you familiar with Porter’s Five Forces framework, a staple in MBA strategy courses? While it clarifies who can extract the most profit in an industry, it has several limitations: it presents a static view of competition, overlooks forces such as complements and regulations, and most critically, assumes that the market being analyzed is…
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Peering into the Mind of AI
When I first studied AI, I realized something unexpected: I didn’t quite think like a great software developer. I found little joy in reshaping my thinking to fit the logic of programming languages. But now, things have shifted dramatically. Today’s large language models (LLMs) are powered by neural networks so intricate that we need…
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The Secular Trend: From Atoms to Bits to Intelligence
Across industries, a common transformation is unfolding:– Atoms: Systems begin with physical assets and infrastructure.– Bits: Software digitizes access, interaction, and operations.– Intelligence: AI automates, optimizes, and increasingly takes over decision-making. This transition from atoms → bits → intelligence is a broad, secular trend reshaping sectors from the ground up. It reflects the progression of…
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Taking the Lead through AI and Organizational Culture
Join us for a dialogue with Troels Blicher Danielsen, CEO of TEKNIQ Arbejdsgiverne. We discuss the revolution of AI in the workplace, how to lead with AI, and the enabling factor that culture represents to embark everybody inside the organization for the journey. About the hosts: Berit Sander is a business psychologist (aut.) with…