Nine Years, One Number

The conversation about AI in the executive suite has gotten louder every year for nine years, and the measurable impact has barely moved. That gap is not an AI problem. It is the same pattern we have run through climate and through diversity, where the volume of executive signaling outpaces any substance underneath, and we mistake the volume for the work.

Robert Winter assembles nine years of the major industry surveys and finds three numbers that should stop the conversation cold. Twenty-five percent of organizations have moved a meaningful share of AI experiments into production, and another fifty-four percent expect to in the next six months. That second number has appeared in essentially every major survey since 2017. The pilot has become permanent. Thirty-four percent claim deep transformation through AI, while eighty-four percent report no redesign of jobs around AI. Both findings cannot be true, which means the transformation claim is largely theater. Seventy-four percent plan autonomous agent deployment within two years; twenty-one percent have a mature governance model for them; six percent capture meaningful EBIT impact. That six percent figure is actually down from ten percent in 2019. Nine years, several generational technology shifts, ROI flat or worse.

What does the work in Winter's argument is the contrast between what executives say and what gets measurably done. The pattern is not specific to AI. There is a collective insecurity around not being "in the game" - whether the game is climate, diversity, or now AI - and the response is to talk loudly while the substance stays untouched. The substantive questions are different from the signaling questions. How do we actually protect customers from climate impact rather than promise to control the uncontrollable. How do we equip diverse talent to be heard in the room rather than counted in it. How do we use AI to change how the work gets done rather than announce that we are doing AI. The recent wave of AI-attributed layoffs is the cleanest example. The layoffs have little to do with AI. AI is the latest excuse for bloated organizations to attack inefficiency that is the result of years of poor management. It is corporate Ozempic instead of good food choices and consistent exercise.

The AI Executive Accelerator is the gym. It is where executives who are tired of the signaling come to start the actual workout - learning to use AI to change how their work gets done, building the discipline, putting in the reps.

Read Winter directly if you want the data and the literary frame - he reaches for Trollope's The Way We Live Now and the comparison earns its weight. Nine Years, One Number.