The drumbeat for AI is deafening. We’re surrounded by a mix of hype, fear and intense pressure to do something with this technology that seems to be advancing at the speed of light. For CIOs and enterprise technology leaders, the path forward can seem murky and fraught with the risk of missteps. But I believe the greatest risk isn’t getting it wrong; it’s waiting for a “perfect” AI strategy while the world races ahead. Real impact with AI doesn’t start with flawless, grand designs. It begins with access, trust and a commitment to hands-on learning.My journey with technology, even before my corporate career, has been a constant lesson in navigating the challenges and opportunities of innovation. I remember experimenting with early expert systems, which led to my first venture designed to help people choose outfits. When we pitched it, potential investors scoffed that people would never buy clothing online. This, and many subsequent experiences, taught me a vital lesson: New technologies are often met with resistance — which, in hindsight, is usually shortsighted.This pattern continued as I began my CIO career in state and local government. There was a natural inclination towards caution, a preference for playing it safe. However, I also witnessed the significant cost of this hesitation — missed opportunities for learning, stifled innovation and the struggle to build a forward-thinking culture. When we wait too long to understand and adopt new technologies, we risk being left behind. I often think back to that early skepticism around online shopping or the initial resistance to SaaS when I speak with peers about AI. We’ve seen this movie before. It’s time to embrace t …
