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In this monologue, Kevin Surace cites a survey indicating that 31% of employees actively sabotage AI rollouts, contributing to an 80% failure rate for AI initiatives in large enterprises. He contrasts this with small companies, where employees are typically hired for an AI-first mindset and thus less likely to resist. Surace explains how AI is transforming software quality assurance: tools like AppVance can generate thousands of test scripts in an hour, uncovering bugs that have never been seen before. This dramatic productivity boost threatens traditional manual testing roles, leading some QA staff to sabotage the AI systems—either by undermining the AI’s output or by deliberately inserting malicious code into AI‑generated scripts to make the system appear faulty. He emphasizes that such human interference is a real, observed phenomenon that hampers AI adoption in big organizations.

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