The Hidden Cost of AI Efficiency: Why Your Best People Are Cleaning Up AI Errors in Financial Services.


There is a pattern showing up inside companies that have moved fast on AI. The efficiency numbers look good. But, without anyone assigning it to them, your best people are cleaning up.

Not because they were asked. Because they are the ones who notice when something is wrong.

According to a recent survey from Workday, around 40% of time saved through use of AI is offset by the extra work created fixing AI-generated content. Workday estimates that for every 10 hours of efficiency that companies gain through AI tools, approximately 4 hours are lost fixing AI outputs.

AI shouldn’t just accelerate output. It should reduce friction. When it does the opposite the answer isn’t to slow down adoption. It’s to get more precise about where and how the tool is being used.

"Lost productivity from AI can quickly become a blind spot for leaders focused on gross efficiency," according to Workday. "Metrics aimed at the amount of time AI saves can lose sight of the net value of AI tools.”

The companies that figure this out first will not just be faster. They’ll be cleaner. Less rework. Less noise. More of the best people doing the work only they can do.

Are we questioning the early gains in efficiency and speed in generating faster outputs and not considering the improvement in quality and results?



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