Rethinking Weather or, How I Learned to Stop Worrying and Love Artificial Intelligence

From forecast accuracy to financial impact — how self-learning, goal-driven AI systems will turn probabilistic weather data into smarter decisions across health care, retail, supply chain, and finance

When Stanley Kubrick made the iconic movie Dr. Strangelove, he imagined machines so logical they outsmarted their makers—and nearly ended the world.

His satire warned of what happens when technology acts without judgment.

Sixty years later, that fear still echoes in many conversations about AI. But what if the same autonomy we once feared could now make us wiser?

Agentic AI offers that possibility—systems that don’t replace human reason but extend it, turning uncertainty into foresight and forecasts into action.

The Forecast Is Fine. The Problem Is Everything After.

My job when I was an executive at The Weather Company wasn’t to make the forecast more accurate — it was to make it more useful.

We had some of Earth's best meteorologists, models, and data. Accuracy wasn’t the barrier. The real challenge was getting businesses to act on what they knew was coming.

Every retailer, manufacturer, and healthcare provider understood that weather shaped demand, risk, and human behavior.

But the systems…