In the fluorescent glow of a modern fulfillment center, the future of automation is on full display, along with its most glaring vulnerability. Autonomous mobile robots glide effortlessly between storage pods, conveyor belts hum with precision, and robotic arms sort packages with mechanical efficiency. On paper, the system is a marvel of productivity, capable of processing tens of thousands of orders per hour. But in the control room, the reality is far less seamless.
If you’re reading this on a screen, there’s a decent chance you’re not in the grey. According to recent estimates,
What Established Tech Giants Are Learning About AI and Their Customers: The measure of a company is not whether it
In early 2025, MultiCare Health System in Tacoma, Washington pulled the plug on fourteen Moxi robots it had deployed across its hospitals. Nurses complained they got in the way. Administrators said the economics didn’t stack up. The program was shuttered.
Metrics are often “low-resolution photographs of a high-resolution reality,” and when a measure becomes a target, it ceases to be a good measure. The danger is that the public will lose the judgment needed to evaluate whether the system is serving them because the “cognitive infrastructure” of struggle and confusion is being optimized away by technocratic skill.
Physical AI in robotic surgery and factories combines advanced machine learning with machines that can sense, move and adapt in
Innovation often drives business success, transforming industries and redefining customer experiences. However, not all innovation leads to triumph. Some ambitious
