Teaching AI to run with the turbines

MIT Tech Review reports on a shift in AI deployment away from consumer applications toward critical industrial infrastructure. The article highlights how AI is being integrated into systems like wind turbines to optimize performance, predict maintenance, and ensure safety in real-time. This move represents a maturation of AI technology, moving beyond chatbots and image generators to handle complex, high-stakes operational tasks. For builders focused on AI workflows, this signals a growing need for robust, reliable models that can operate in low-latency, safety-critical environments, and for tools that can bridge the gap between data science and physical operations. The practical angle involves developing pipelines that can ingest sensor data, run predictive analytics, and trigger automated responses, all while maintaining system integrity.