After years of helping companies navigate technical challenges, my colleagues and I have observed a troubling pattern across several verticals and sectors. AI implementations fail not because the technology “doesn’t work,” but because executives rush into deployment without addressing the fundamental operational concerns of the technology. AI tools are not as safe and predictable as traditional enterprise software.
This approach introduces risks that can cost millions. I’m not an AI skeptic. For many business uses, executives can strike the correct reward-to-risk balance by asking the right questions upfront, limiting potential harm if something goes wrong, and insisting that both business and technical teams monitor how the software performs. There are good AI use cases that, in some circumstances, can transform business operations.

Full opinion : How FOMO Is Turning AI Into a Cybersecurity Nightmare.