Last year, I wrote a handful of blogs (here, here and here) about how AI and sustainability teams could learn from each other in terms of determining, communicating their respective business value – and how to move forward. I saw parallels in hype cycles and irrational exuberance between AI and sustainability back in the 1990s. I suggested that AI teams could learn from sustainability’s history while sustainability might have an opportunity to update its thinking on quantifying intangible (or at least prospective) business value.
It shouldn’t be all that surprising to hear that AI may also be replicating the sustainability crash of the 1990s as well. Fortune reported on a new study – The GenAI Divide: State of AI in Business 2025, a new report published by MIT’s NANDAinitiative.
According to the article
“while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat.
Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L… for 95% of companies in the dataset, generative AI implementation is falling short… MIT’s research points to flawed enterprise integration.”
Hmmm – “flawed enterprise integration” huh? Sounds familiar – maybe AI and sustainability teams should get together and have a few beers.
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