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On October 13, 2026, the Guardian ran a story under the headline "Companies rushed in on AI. Now some are pulling back." The gist: employers around the world moved fast on AI tools, and their staff are now spending their days cleaning up errors and low-quality work, with privacy and security risks and rising costs on top. Some of the biggest names are adding restrictions where they once encouraged experimentation, bringing experienced people back, and spending more on training.
Two numbers from the piece stuck with me. An Atlanta Federal Reserve working paper found that 90 percent of executives say AI has not yet produced productivity gains at their companies. And in an Indeed survey, more than half of employees said they aren't getting the AI training they need.
What went wrong
My read: the tools were handed out, and nobody set them up around the real work, tested the output against what the business produces, or wrote down what should never go into an AI and what needs a person's OK before it goes out. Microsoft's own strategy chief wrote that the company first treated AI like any other software rollout and learned that "access and usage do not equal transformation."
A Wharton professor quoted in the piece put her finger on why the damage spreads. AI output looks plausible, so a mistake isn't obvious, and it travels down the workflow before anyone catches it. Microsoft found that adding AI to a broken process leaves you with a broken process that runs faster.
What the ones getting value do differently
The same article points to the fix through what the companies that pulled back are doing now: sustained, role-specific training instead of one-off webinars, experienced people checking the work, and clear rules on what the tools may touch. None of it is complicated, only slower than handing out logins.
We built Samson AI Co. to work this way:
- Workflows, plugins and custom builds start with an audit: a couple of hours in your files and systems, learning how the work flows today. Adding AI to a process nobody has looked at is how the big companies got here.
- Every setup is built per person, around the way that person already does the job, and tested on last month's real emails, invoices and paperwork before it touches anything live.
- Anything that goes to a customer or moves money waits for your OK. Claude drafts, you send.
- A one-page AI policy for your staff is on our price list: what never goes into AI, which accounts to use, and what needs a person's sign-off before it goes out.
- Each person gets a hand-over session on their own work and a one-page guide, not a webinar.
- If something we set up isn't working in the first 30 days, we fix it at no charge.
If you've tried AI and it made more work, the setup was the likely problem, not the AI. Start with the free 2-minute AI check, or request a quote.
Sources: The Guardian, "Companies rushed in on AI. Now some are pulling back," by Taylor Telford, October 13, 2026, which cites an Atlanta Federal Reserve working paper, an Indeed survey published in July 2026, and a blog post by Microsoft's chief strategy and transformation officer. Samson AI Co. is independent and is not affiliated with Anthropic.