Two thirds of business leaders face imminent disruption, yet most are using AI as a forklift to move their thinking for them. Scott Anthony argues the right way is the hard way, and the muscle leaders need gets built through experience that feels more like play than punishment.
Harvard Professor Joseph Fuller argues that most companies are making the same mistake with AI that factory owners made when electricity arrived — bolting new technology onto old processes. He explains why 60% of companies are set up to fail, what the J-curve really means, and what to do instead.
Charlene Li — adviser to 49 of the Fortune 100 — argues that most AI transformations fail because leaders are asking the wrong question. It is not about AI strategy. It is about business strategy enabled by AI. Here is how to close that gap in 90 days.
AI saves time—but what do we do with it? Dr Vlad Glaveanu's "slow AI" concept challenges the rush to solutions. Creativity research shows waiting and incubation drive better outcomes. The risk? Filling freed time with more tasks rather than reflection.
Headlines claim AI is more creative than humans. Yale researcher Dr Zorana Ivcevic Pringle reveals what the research actually shows: while average AI performance exceeds average human performance, top human creativity remains unmatched. More fundamentally, AI cannot take the initiative that sparks creativity.
What can a prehistoric creature with nine brains, three hearts, and the ability to edit its own RNA teach us about thriving in the AI revolution? Stephen Wunker reveals why most companies are approaching AI transformation entirely wrong—and why the octopus offers a better blueprint.
VUCA environments demand adaptive leadership, not traditional management. From teams waiting for answers to departments operating in silos, these 10 signs indicate your organisation needs immediate transformation to thrive amid uncertainty.