Key Takeaways Prompting is not the main bottleneck in working with AI — the real challenge is learning to lead and manage AI systems effectively. AI should be treated like a new intelligent colleague: you need to brief it, train it, give feedback, and choose the right...
Key Takeaways Realistic use of technology matters more than chasing the latest trend: pragmatism beats dogmatism. Waymo’s self-driving cars demonstrate that AI makes different mistakes than humans, often with safer overall results after 41 million kilometres of...
Key Takeaways Top-performing companies using AI focus primarily on new business models rather than mere cost-cutting, according to McKinsey’s annual State of AI report. Solo entrepreneurs from the agency world are building $1.5 million per year businesses by...
Key Takeaways Studies from McKinsey and MIT show that 95% of all AI implementation projects fail, with poor timing and a focus on tools rather than strategy being key reasons. AI adoption in organizations often happens unplanned and reactively — the so-called...
Key Takeaways Bad processes do not automatically become better through digitalisation or AI – whoever digitalises a bad process ends up with a bad digital process. Before any automation, the question must be asked: do I need this process at all – and every...
