Careers & Skills
Concern about artificial intelligence is shaping how some workers think about training and career changes. A Washington Post report published September 30 describes people heading back to school for work they believe will keep needing a human touch, including a Teach for America teacher and a laid-off software developer now in an automotive technology program. Surveys show the idea is widespread. They also show that far fewer workers are acting on it than are thinking about it, so this is not an economy-wide exit from office work.
What the surveys show
In the CNBC|SurveyMonkey third-quarter AI and jobs survey, published August 19, 20% of workers said they were considering trade work or manual labor because of AI. That total breaks down into very different levels of commitment: 13% said they considered it sometimes, 4% said they were actively considering or planning a switch, and 3% said they were already in the process of switching.
A separate Campbellsville University survey of 1,002 U.S. adults, fielded July 28 to August 3 and published September 9, found that 14% of respondents said they were rethinking their career because of AI in the workplace. Asked which job category is most resistant to AI disruption, 51% chose skilled trade labor, such as electricians and plumbers, more than any other category.
Why intention is not a career transition
Answers about worries and future plans are not the same as enrollment, program completion, licensing or hiring. A software developer moving into vehicle maintenance may face training costs, new certification requirements, lower starting pay and physically demanding work. Nursing, teaching and many skilled trades have their own entry barriers. Their tasks may be harder to automate end to end, but no occupation is guaranteed to be untouched by changes in software, equipment or employer demand.
A better career test
Workers weighing a switch can compare an occupation’s actual duties and local openings with the length, cost and progression of the training it requires. Employer-recognized apprenticeships and stackable credentials may be more useful than broad claims that a career is “AI-proof.” Workers can also build resilience within their current occupation by pairing technical tools with work that depends on context, interpersonal trust, physical execution or responsibility for outcomes.
What to watch
The labor-market measures that matter are training enrollments that lead to completion, people actually changing occupations, wages after a switch, and employer hiring by region. Schools and workforce programs can make these decisions easier by publishing those outcomes. For now, the news is a shift in how workers perceive their risk. Whether that perception becomes a lasting reallocation of the workforce is still an open question.
Sources
- The Washington Post, “Fearing AI, workers go back to school seeking jobs that still need a human touch,” September 30, 2026. https://www.washingtonpost.com/education/2026/09/30/fearing-ai-workers-go-back-school-seeking-jobs-that-still-need-human-touch/
- SurveyMonkey, CNBC|SurveyMonkey AI and jobs survey, published August 19, 2026. https://www.surveymonkey.com/curiosity/cnbc-ai-work-survey-august-2026/
- Campbellsville University Online, AI-proof jobs survey, published September 9, 2026. https://online.campbellsville.edu/nursing/ai-proof-jobs-survey/
Featured photo: Practical nursing students in Rockbridge County, Virginia, listen to a guest speaker in 2011. Representative image of adult career training; the people shown are not survey respondents. Photo: Jeff Benedict, via Wikimedia Commons (CC0). Cropped from the original.
