Enterprises got much better at shipping AI and no better at profiting from it
Uprovd Take Domino's finding that AI production keeps climbing while returns sit flat for a second straight year is precisely the activity-versus-value gap Uprovd was built to close.
Read the original at Domino Data LabThe fifth annual enterprise AI report from Domino Data Lab, run independently by BARC across 639 senior AI leaders at large organizations in North America, the UK and Europe, lands on an uncomfortable plateau. Nearly all of them - 93 percent, up from 88 a year earlier - say their ability to get AI into production has improved. The share whose returns still fail to outrun what they spent has not budged from a year ago.
More shipping, same payoff. It is the clearest possible illustration that capability and value are different things, and that getting good at deploying models tells you nothing about whether they earned their keep.
This is the distinction Uprovd insists on. Counting what went live measures effort; only tracking outcomes against a baseline measures return. When two years of rising production buy no improvement in ROI, the missing ingredient was never more deployment - it was measurement.
This is Uprovd's analysis of third-party reporting. Original article linked above.