Practical guidance on AI workplace transformation. Learn why human leadership and change management matter more than technology in AI implementation.
Handing AI to the CIO treats it like software, not a general purpose technology. Drawing on Fuller, Venkatraman, Li and others, this article argues AI transformation needs a business owner accountable for the constraint it is meant to relieve, not a technology sponsor
Most senior leaders in mature businesses know something is wrong. David Hurst gives them the language for it: the ecocycle, and why AI cannot help.
Most industrial companies are adding AI to their existing models and calling it transformation. Professor Venkat Venkatraman of Boston University has a name for this: digital paint. In this episode of Arkaro Insights, the co-author of Fusion Strategy explains why the $75 trillion asset-heavy world is the real frontier of the intelligence age — and why winning companies will design intelligence into their core, not bolt it onto the edges.
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.
Professor David Cropley of the University of Adelaide argues that innovation is a measurable engineering discipline, not a creative light bulb moment. He introduces a 42-cell diagnostic framework, explains why most organisations fail at the front end of innovation, and outlines what leaders should do differently, including a clear-eyed assessment of AI's creative limits.
Dr Todd Lubart brings the science of creativity to bear on AI and innovation. From Pick and Mix prompting to Plagiarism 3.0, this conversation separates evidence from hype and gives business leaders a practical framework for using AI in ways that actually improve creative performance.
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.