The build-or-buy paradox: who owns your intelligence?
AI changes the classic build-vs-buy decision. Explore how leaders balance control, capability, and dependence as intelligence becomes the core business asset.
The trust tradeoff: when transparency isn’t what builds trust
AI transparency doesn’t always build trust. Explore why predictability matters more than explainability — and what this means for enterprise AI leadership.
The ROI focus: when “good enough” becomes the enemy of great
Should leaders chase 10% efficiency or 10x transformation with AI? This article explores how ROI thinking is shifting in the age of intelligent capabilities.
The automation paradox: replace people or release their potential?
AI can replace or elevate people. Explore how leaders can design automation that builds capability instead of just cutting costs.
AI trust & readiness: What Nordic leaders need to know
How Nordic leaders can navigate AI adoption, trust, and readiness in high-trust cultures. A deep look at the dilemmas shaping responsible AI in the Nordics.
The leadership test: when knowing code isn’t the same as knowing change
AI challenges traditional leadership. Explore how future CEOs must bridge business insight and technical understanding to lead in the age of intelligent systems.
Speed vs. safety: the forgiveness threshold of AI
AI rewards speed but punishes carelessness. Learn how leaders can find the balance between innovation and control — and define their forgiveness threshold.
The talent equation: where should AI intelligence live?
Should AI intelligence live at the top or across the organization? Explore how leaders can balance strategic control with distributed curiosity.
The data reality: When “perfect” becomes the enemy of progress
AI thrives in messy data. Learn why perfection can stall progress — and how leaders can balance control, confidence, and imperfection in AI adoption.
The Enterprise AI Cost Doctrine: From Game-Changer to Budget-Breaker
Discover how enterprise AI costs spiral — and how the Cronquist Doctrine helps you control AI TCO, hidden costs, and capital efficiency.
The AI Hangover: Lessons from the Last Hype Cycle
Every technology boom leaves behind two kinds of companies: those who chase the promise and those who build the discipline. In this first part of the Hidden Cost of AI series, Joachim Cronquist revisits the dot-com era to uncover what today’s leaders can learn before the AI hype turns into its hangover.
Introducing the AI Capital Efficiency Index — Measuring the True Value of AI Investments
AI is more than a cost—it’s a capital discipline. The AI Capital Efficiency Index (ACEI) helps leaders measure how effectively each invested krona in AI turns into real business value by balancing Total Value Realization (TVR) against Total Cost of Ownership (TCO).