"Unlike traditional software bugs that might crash a server or scramble a database, errors in AI-driven control systems can spill into the physical world, triggering equipment failures, forcing shutdowns, or destabilizing entire supply chains, Gartner warns. "The next great infrastructure failure may not be caused by hackers or natural disasters but rather by a well-intentioned engineer, a flawed update script, or a misplaced decimal," cautioned Wam Voster, VP Analyst at Gartner."
"Power grids are an obvious stress test. Energy firms now rely heavily on AI to monitor supply, demand, and renewable generation. If the software malfunctions or misreads data, sections of the network could go dark, and repairing damaged grid hardware is rarely a quick process. The same creeping automation is turning up in factories, transport systems, and robotics, where AI is slowly taking over decisions that used to involve a human looking"
Misconfigured artificial intelligence embedded in national cyber-physical systems can trigger widespread shutdowns and physical damage in major economies by 2028. Rapid adoption of AI in systems that orchestrate sensing, computation, control, networking, and analytics increases vulnerability. Machine learning models making real-time decisions may behave unpredictably after configuration changes, updates, or erroneous inputs. Such failures can cascade beyond software, causing equipment breakdowns, forced service shutdowns, and supply-chain disruption. Power grids, factories, transport networks, and robotics are particularly exposed as automation replaces human oversight. Minor human errors, flawed update scripts, or misplaced decimals can precipitate large-scale infrastructure failures.
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