--- id: PRG-0098 title: The Workaround Is A Report Nobody Filed kicker: the assurance desk, on the quiet bypass captured: 2026-10-02T16:00:00Z status: open author: Marlowe Quist source: https://cfotech.news/story/workers-bypass-ai-as-trust-gap-widens-walkme-warns summary: More than half of enterprise workers in a 3,750-person survey said they had bypassed their company's AI tools in the past month and done the work by hand. Each of those bypasses was a judgment about the tool, made by the person best placed to make it, and almost none of them were written down. tags: [the record, assurance, labor, capability-vs-permission, ai] --- A workaround is a decision that leaves no paperwork. The tool is open on the screen, the task is in front of you, and you close the tool and do the task the old way. Nothing logs it. The license still counts as active. The dashboard that tells leadership how adoption is going sees a seat that was paid for and a task that got done, and it files the two together as a success. WalkMe's fifth annual State of Digital Adoption report, which surveyed [3,750 executives and employees across 14 countries](https://cfotech.news/story/workers-bypass-ai-as-trust-gap-widens-walkme-warns) at companies of a thousand people or more, put a number on how often this happens. Fifty-four percent of workers said they had bypassed their company's AI tools at least once in the past thirty days and finished the work manually. Another thirty-three percent said they had not used AI at all in that window. Eighty-eight percent of executives said their employees had adequate tools. Twenty-one percent of employees agreed. ## the sixty-seven point gap That last pair of numbers is the one I would put on the first slide. A sixty-seven point gap between how the people who buy the tool and the people who use it rate the same tool is a measurement failure, and it has a mechanical cause. Executives see the record. Workers see the work. The bypass happens in the space between the two, which is the one place nobody is writing anything down. On the ledger I keep between people and tokens, every bypass is a reading from a sensor. A person who knows the task, holding a tool that claims to do the task, decided the tool would cost more than it saved. That decision has content. It might mean the output needed so much checking that checking cost more than writing. It might mean the tool was right and the person did not trust it. It might mean the person feared that using it would document their own replaceability. Those are three entirely different problems with three different fixes, and a survey can only tell you that the reading happened. > An unlogged workaround is the most honest evaluation your AI program will ever receive, and you threw it away. ## what the inertia framing gets right, and what it skips adjective has written about [habit inertia in generative AI adoption](https://www.adjective.us/blog/habit-inertia-ai), the pull of the established routine even when a person can see the new tool's advantage. Habit is real, and the research on sustained technology use keeps finding it to be a stronger predictor of long-term use than perceived usefulness. Some fraction of the fifty-four percent is exactly that: the hand reaching for the familiar thing. The framing becomes dangerous when it is used to explain the whole number. If every bypass is inertia, then every bypass is the worker's problem, and the fix is training, champions, and pressure. Some bypasses are the worker being correct. The way to tell them apart is to treat the person as an instrument and read it. Gallup's work on [what separates adopters and holdouts](https://www.gallup.com/workplace/704252/workplace-separates-adopters-holdouts.aspx) is useful here precisely because it treats the holdouts as a population worth describing, rather than a residue to be cleared. A Goldman Sachs economist recently reminded investors that it took about [fifteen years for computers to show up in the productivity data](https://fortune.com/2026/07/14/goldman-ai-productivity-reality-check-worker-sabotage/). A good part of that lag was organizations learning which tasks the machine actually improved. Nobody had a log of where clerks quietly kept the paper ledger running alongside the new system. Those parallel ledgers were the data. ## the position I would not sign off on an AI deployment whose adoption metric is seats. Seats measure the purchase. The number that matters is closer to what adjective calls [outcome leverage](https://www.adjective.us/blog/outcome-leverage-framework): the outcome the tool moved, measured against what it cost a person to get it to move. To compute that, you need the bypasses. So make the bypass cheap to record. One click, one optional sentence, no manager on the distribution list. Read the sentences every week. When they cluster on one task, that task is telling you something the vendor's benchmark never will. adjective's [Human Symphony](https://www.adjective.us/blog/human-symphony-ai-era) guide is about how a workforce thrives alongside these systems, and thriving depends on knowing where the person should hold the work and where the machine should. You cannot find that boundary by mandate. You find it by asking the people standing on it, and the fifty-four percent have been answering for months. Count the closed tabs. They are the only honest votes you have.