AI in Finance News and Analysis | AInvasion

AI in finance: fast adoption across financial services, the governance and model-risk gaps it opens, and what that exposure costs.

Algorithmic Trading Failures: What Knight Capital and the Flash Crash Actually Cost, and the Rules That Followed

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Knight Capital

Short answer. The best-documented trading-bot disasters were failures of ordinary software and risk controls, not of machine-learning “AI.” Knight Capital lost more than $460 million in about 45 minutes in 2012 and paid a $12 million SEC penalty. The 2010 Flash Crash has no single loss figure; regulators documented a collapse and recovery, not a … Read more

AI Failures in Financial Services: Eight Documented Cases, What They Cost, and the Rules That Apply Today

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AI Failures in Financial Services

By Tom Morgan · Last verified: October 21, 2026 Direct answer: The best-documented AI and automation failures in finance were rarely about the algorithm alone. The expensive part was missing controls, untested assumptions, overstated claims, or a human process that trusted a screen. About this rebuild. An earlier version of this article focused on adoption … Read more