AI is moving faster than our organisations can make sense of, and that gap is where strategy breaks. We sit down with Adrian Wolfberg, a former national security practitioner and author of Who Leads When AI Thinks, to unpack a tough reality: success with AI is not mainly a technology problem; it is a leadership, context, and knowledge integration problem.
We start with boundaries and organisational intelligence, the way functions and hierarchies shape what people see, what they value, and what they miss. Adrian shares a concrete story of “Crossing Boundaries”, a skip-level forum designed to surface intractable problems and turn frontline signals into action through accountability and a real business case. It is a grounded look at strategy execution, not theory.
From there we zoom out to generative AI and large language models, and why this shift feels like a societal transformation rather than another software rollout. AI can be faster than any team, but it isn't accountable, and it cannot truly hold organisational context, history, politics, relationships, or ethical judgement. That means leaders have to design permeability across silos, strengthen feedback loops, and model the behaviours that keep humans and AI aligned as the environment changes.
If you’re thinking about AI governance, organisational design, decision-making, and the future of leadership, this conversation will give you practical angles and better questions. Subscribe, share it with a colleague, and leave a review with your take: where do you think this human-AI relationship is heading?
Podden och tillhörande omslagsbild på den här sidan tillhör
Mike Jones. Innehållet i podden är skapat av Mike Jones och inte av,
eller tillsammans med, Poddtoppen.
