Bain Survey: AI Automation Returns Consistently Fall Short of Targets Across 951 Global Companies
By
Michael Heric, Purna Doddapaneni, Antoine Debarre
Toasted golden, schmeared with insight. Top of the rack.
Summary
A Bain & Company survey of 951 global companies reveals that while 37% of firms targeted cost reductions through AI and automation, the expected returns consistently fall short. The article argues that the problem isn't technological but organizational—companies keep investing in successive waves of automation (RPA, machine learning, generative AI, agents) without addressing structural issues that prevent realizing promised savings. The shortfall is persistent, quiet, and significant enough to warrant executive concern.
Key quotes
· 3 pulledEvery year, boards approve bigger automation budgets. Every year, CEOs sign off on the next wave—robotic process automation (RPA), then machine learning, then generative AI, now agents. And every year, the savings fall short.
Not catastrophically, not enough to kill the programs, but consistently, quietly, and by a margin that should be making executives uncomfortable.
Bain & Company's survey of 951 global companies finds that while 37% targeted cost reductions
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