The AI crisis arrived without fanfare. There were no alarms, no cascading red dashboards, no breathless messages from the security operations center. At 3:17 a.m., somewhere between Singapore and Rotterdam, an AI routing agent inside a global logistics company glitched slightly. Just milliseconds. But that agent sat at the center of thousands of shipments, negotiating contracts, rerouting containers, balancing fuel costs and port congestion in real time. That week, the company cloud provider had quietly shifted workloads to a different region after an energy price spike. A frontier model vendor had rolled out an update that subtly changed how the system reasoned. An external technology partner, granted limited access months earlier, had folded usage patterns into broader product improvements now available to competitors. Nothing was hacked. Nothing was stolen. Yet by quarter’s end, delivery times slipped, margins thinned, and the firm’s once sharp operational instincts felt strangely generic.

In the mid nineties, designers did not know what online shopping was supposed to look like. So they borrowed from the physical world. Early retail websites featured isometric shopping carts gliding down digital aisles. Shelves were rendered in crude 3D. You clicked arrows to “walk” through a store. After a while, search bars replaced aisles, and recommendation engines became the new merchandising layer. Eventually, mobile screens collapsed the store into a feed. We are now at another such inflection point. Retailers are redesigning the storefront again. But this time, the shopper may not even be human.

By 10:47 a.m. on Wednesday morning, billions of dollars had evaporated from wealth management stocks. There had been no earnings miss. No regulatory shock. No fraud. Just a press release from a startup announcing an AI-powered financial planning tool that could analyze tax returns, generate scenarios, and personalize investment strategies in minutes. Within hours, asset managers in London were sliding in sympathy. Brokerage firms in New York were down sharply. Days earlier, legal publishers and data providers had suffered similar fates after the launch of new AI research tools. A wealth manager and a legal publisher have very little in common. Yet, as reported by the FT, their stocks fell for the same reason in the same week.

For the last year, the debate around AI at work has split into two unhelpful extremes. On one side, we have breathless talk of “AI coworkers,” complete with onboarding rituals, performance reviews, and soft-focus imagery of humans and machines collaborating happily at their desks. On the other, we have an anxious counter-reaction that insists this language is dangerous, misleading, and fundamentally wrong, because AI systems are not people and should never be spoken of as if they were. Both camps miss the point. The real question is not whether machines deserve human metaphors, but whether leaders understand what kind of economic force they are unleashing, and what kind of organization that force demands.

At first glance, Disney’s recent moves look contradictory. The company announces a sweeping partnership with OpenAI that allows its characters to appear inside generative tools like Sora, while almost simultaneously firing off cease-and-desist letters to Google and pressing forward with aggressive litigation against Midjourney. To some observers, this looks like confusion. To anyone who has watched Disney for long enough, it looks like something else entirely. This is a company that has spent a century mastering the art of adapting control to new forms of participation.