While organizations frequently adopt generative artificial intelligence with the expectation of saving time, employees actually invest substantial hours into supervisory labor, a phenomenon increasingly recognized as botsitting. This hidden work involves providing context, monitoring output, debugging errors, and managing overrides, which disproportionately burdens experienced staff and frequently goes uncounted in formal workload planning. Because human monitors are inherently susceptible to automation bias and complacency, inadequate oversight can lead to significant quality risks, legal liabilities, and reputational damage. To capture the true net value of these technologies, leaders must make oversight visible, implement risk-tiered verification strategies, and design sustainable workflows that properly support human judgment. Ultimately, treating oversight as a core professional craft allows companies to balance efficiency gains with long-term organizational resilience.
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