News Sheet

AI Skepticism Grows Among Workers

Editorial AI and machine learning illustration representing workplace technology concerns
The tool is not the whole problem. The incentives matter.
Written by Scott K. James

Americans are using AI more, but workers increasingly distrust the people and businesses deploying it.

Fast Company reports that Americans are growing more skeptical of artificial intelligence even as they become more familiar with it. That is not the reaction of nervous Luddites hiding from a blinking cursor. Workplace adoption is climbing, knowledge is increasing, and confidence is heading south.

That gap matters. The grand AI sales pitch promises liberated workers, miraculous productivity, and a digital assistant eager to handle the drudgery. The people expected to live with the fine print increasingly suspect the assistant may eventually be asked to escort them out of the building.

The evidence does not show that AI has broadly wiped out American employment. It does show that workers overwhelmingly expect job losses and have remarkably little confidence that businesses will use the technology responsibly. Apparently, “trust us, the consultants made a slide deck” is not the reassurance executives imagined it would be.

The Bullet Point Brief

  • Familiarity is rising, but optimism is falling. Gallup found that 70 percent of respondents consider themselves at least somewhat knowledgeable about AI, up from 64 percent two years earlier. The more Americans see behind the curtain, the less impressed they seem with the wizard.
  • The harm camp is growing. Thirty-nine percent now believe AI will do more harm than good, up from 31 percent in 2024 and 2025. Among adults ages 18 to 29, that figure reaches 47 percent. So much for the theory that only Grandpa fears the robots.
  • People are actually using the stuff. Federal Reserve data cited by Fast Company found that 41 percent of employees use generative AI at work, while half of Americans use it outside the workplace. This skepticism is increasingly based on experience, not science-fiction reruns.
  • Trust in corporate responsibility is scarce. Only 27 percent of respondents expressed at least some trust that businesses will use AI responsibly, down from 31 percent last year. Corporate America has somehow failed to inspire confidence by announcing layoffs, praising automation, and then insisting everyone remain excited about the journey.
  • The feared job apocalypse has not broadly appeared in employment data, but the expectation is real. Nearly eight in ten respondents believe AI will reduce jobs over the next decade. When companies repeatedly mention AI while restructuring their workforces, employees can be forgiven for noticing the branding opportunity.

My Bottom Line

AI may become an extraordinary tool. A chainsaw is also an extraordinary tool. The important question is who is holding it, what they are cutting, and whether the person giving instructions has ever done anything more demanding than approve a quarterly PowerPoint.

From Weld County job sites and energy offices to Front Range cubicles, Colorado workers will live with the consequences of decisions made by managers chasing efficiency metrics. Used properly, AI can reduce paperwork, speed up routine analysis, and help capable people do better work. Used lazily, it becomes an excuse to cut headcount, centralize authority, and blame an algorithm when judgment fails.

That is the part the AI evangelists keep skipping. Workers are not merely worried about the technology. They are worried about the incentives of the people deploying it. They have watched businesses treat employees as “human capital,” communities as “markets,” and layoffs as “right-sizing.” Now those same institutions are promising to introduce powerful systems responsibly. Forgive the public for checking the return policy.

The adult question is simple: If AI is supposed to help workers, why do the workers using it increasingly expect to get squeezed? Until executives, consultants, and public officials can answer that without hiding behind buzzwords, the skepticism is not ignorance. It is pattern recognition.


Source: Fast Company