Artificial intelligence is advancing faster than most of us can refresh a news feed, and it’s dragging along a creeping, legitimate unease: Who has my data? What are they doing with it? And now that machines can sift through it at a scale no caffeinated human ever could, what does that mean for me?

What does it say about community trust when land a farmer donated in 1999 for a children’s park, for the price of $10, ends up sold decades later for a data center, turning that gift into a $10 million windfall for the city and an expected $30 million in future tax revenue?

U.S. data centers will soon consume more electricity than the steel, aluminum, cement, and chemical industries combined. Utilities are responding with billions in rate hikes and new gas plants passed onto residential and small commercial customers. This model fails to deliver the low-latency performance or resilience the next generation of AI demands and a better path exists.

Space-based data centers are moving from concept to serious development and they could fundamentally change how we scale AI while creating major new opportunities for advanced manufacturing right here on Earth.

The gap between public perception and technical reality is wide enough to park a server rack in. A deep dive into the engineering facts, community concerns, and a practical policy framework for North Carolina.

North Carolina already possesses key advantages — reliable power, a skilled workforce, and a business-friendly climate. The case for a distributed network of smaller, modular edge facilities over hyperscale construction that strains land, water, and infrastructure.

Organizations are using AI tools to accelerate changes already underway — the real question for policymakers isn't how to stop that process, but how to ensure benefits are broadly shared and costs aren't quietly shifted onto those least equipped to absorb them.