Practical guidance on AI workplace transformation. Learn why human leadership and change management matter more than technology in AI implementation.
Former BP Chief Digital Officer Marco Ryan argues AI isn't a technology problem—it's a leadership issue. In this Arkaro Insights conversation, he explains why leaders must become digitally curious, find their AI whisperers, and make a conscious choice: rewire or retire.
Planners spend 50% of their time on tasks that waste their brain power. Niels van Hove argues the competitive advantage in supply chain planning won't come from automation alone—it will come from how humans and AI collaborate on decisions. Three actions for CEOs included.
Why do 95% of organisations fail to see a return on AI investments? Ray Eitel-Porter, co-author of "Governing the Machine" and former head of Accenture's global responsible AI practice, explains why AI governance isn't what blocks innovation—it's what enables it.
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.
How should leaders approach AI without losing the creativity that drives innovation? Dr Vlad Glaveanu argues that constraints enable creativity, playfulness builds psychological safety, and ethics must guide what we build. Three lessons for executives navigating the AI age.
Organizations want AI tools without developing the wisdom to use them. Scott Anthony reveals why this guarantees failure. Drawing from Jerry Seinfeld's creative process and teaching Gen AI at Dartmouth, Anthony demonstrates that AI wisdom requires doing the hard work—there are no shortcuts.
AI implementations may fail not because of technology, but organizational design. AI amplifies dysfunction in unclear structures whilst reducing toil in aligned teams. Rich Allen reveals why Team Topologies provides the infrastructure of agency that determines whether AI amplifies effectiveness or chaos.