AI was supposed to prevent downtime. Instead, it’s creating new kinds of outages

# AI Systems Are Now Causing the Very Downtime They Were Supposed to Prevent Companies spent billions on AI specifically to stop their systems from breaking down, but instead AI itself is breaking those systems—either by making wrong decisions on its own or by introducing bugs when integrated into production. According to a new report, half of major companies experienced outages caused by faulty AI automation, and the overall cost of downtime has skyrocketed to $600 billion annually, up 50% in just two years. The lesson: throwing AI at operational problems without careful oversight is backfiring, turning what was supposed to be a reliability solution into a new source of risk.
Enterprise AI promised executives something close to operational certainty: fewer outages, less human error, and systems capable of catching problems before customers ever noticed. But a new report from the software company Splunk on AI-related downtime suggests those promises are colliding with a m
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