Based on a current MIT report, a exceptional 95% of gen AI applications fail to ship bottom-line returns. Within the wake of that discovering, most commentators centered their consideration on attempting to clarify why so many applications fail. Nathan Furr and Andrew Shipilov, for instance, not too long ago highlighted for HBR the very actual hazard of the “experimentation lure,” through which pilots by no means hook up with buyer worth or scale past the lab.


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