"The viral MIT paper found 95% of the 52 organizations studied "are getting zero return" on their investment in generative AI. "AI, at the enterprise level, is hard," Sweet told us Monday in an interview from Toronto, where she was visiting clients. "I am talking to CEOs almost every day. Their frustration is mostly about: How do I move my organization fast enough?""
"An Accenture survey of 3,000 global executives, shared first with us, found 85% of the C-suites plan to increase AI spending this year - and expect big results. One likely casualty will be jobs, for three interrelated reasons: Companies plan to invest heavily in training employees to use AI - but know that a good number won't make the transition fast or successfully enough."
Hands-on experience and multiple studies, including an MIT paper, show a productivity paradox: many large organizations get little or no return from generative AI investments. Executive frustration centers on how to move organizations fast enough; the core barrier is willingness to reinvent work and workforce, not just technology. An Accenture survey of 3,000 executives found 85% of C-suites plan to increase AI spending and expect major results. Job losses are likely because many workers will not transition quickly, scaling AI requires simplifying outdated processes that reduce headcount, and automation will replace many human tasks. Over time, new roles and businesses should emerge, aided by digital twins and leadership development.
Read at Axios
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