Articles & Insights

Every seismic shift in business history begins with denial. Railroads dismissed automobiles. Publishers shrugged at the internet. Film studios laughed at streaming. Each time, incumbents convinced themselves that “business as usual” would hold. Each time, they were wrong. And each time, value shifted to those who saw the change for what it was.

AI can strengthen trust, or it can undermine it. The deciding factor is segmentation. Understand which customers chase the cutting edge, which value predictable outcomes, and which want proof before they act. Trust is built differently in each segment.

What’s the Difference Between Asking a Human to Complete a Task and Asking AI? On the surface, not much. You say “build me an app,” and both human and AI will deliver code. You say “write me some market copy,” and both will produce words on a page.

Fraud used to be limited by human effort. You could spot the broken English in the phishing email. You could hear the hesitation in the voice. You could flag the dodgy PDF with the pixelated invoice. But now?

leadership in a complex business isn’t linear. It’s not even rational in the strictest sense. It’s a real-time collision of context, competing priorities, and partial information. Decisions don’t arrive in order, they come in waves. Many are interdependent.

AI improves productivity by automating repetitive tasks, freeing up time, and unlocking capacity. It’s true, on the surface. But that story is only half the plot, and if you stop there, you’ll miss where the real value is hiding.

AI isn’t magic. It’s a powerful set of tools that extend well-run processes and ruthlessly expose broken ones. Lead with strategy, pick the business lever that matters most, and deploy AI where it can create visible, measurable value.

A few years ago, executives worried that they’d missed the mobile-app boom. Then it was cloud migration FOMO. Now the scramble is for AI—and the potential applications are so vast that most leadership teams are paralyzed by choice.

When it comes to innovation, artificial intelligence (AI) is often heralded as the holy grail, a game-changer capable of transforming industries overnight. The excitement is understandable. AI has the potential to revolutionize how we work, solve problems, and deliver value. However, there’s a concerning trend emerging: businesses leading their innovation efforts with AI rather than using AI to enable innovation.

While some businesses are quick to adopt AI solutions, others may believe that if they're not actively using AI, they don't need to worry about it. However, even if you have no formal plans to integrate AI into your operations, having a generative AI policy is essential. Here's why.