As much as we might want to, the signals that we’re on the cusp of a major labor market disruption sparked by AI and automation are getting harder and harder to ignore. And just as America is not ready for what AI will do to jobs, most associations are equally unprepared to help professionals navigate the shift.
One sobering signal is the historic number of layoffs within the last six months. Amazon announced it is eliminating 30,000 positions (and leaked documents suggest it’s planning to replace 600K jobs with robots by 2033). Pinterest is reducing its workforce by 15 percent. Nike, Verizon, Citi, and Target are also cutting jobs. Many companies are explicitly citing AI efficiency gains (or at least the promise of them) as a factor in the layoffs.
New evidence shows that entry-level jobs are shrinking in AI-exposed occupations, breaking traditional pathways to office jobs. In July 2025, Ford CEO Jim Farley warned that AI will eliminate half of white-collar jobs within a decade. While the timeline and pace of transformation is still uncertain, we are witnessing entire careers, like translation, going away where AI can fully automate what humans once did. A recent Harvard Business Review article predicted that in 2026 and beyond, digital workers will flock to skilled trade professions with the help of retraining programs—a curious reversal of the coding boot camps of the 2010s.
In this moment of technological and labor market upheaval, professional associations have never been more important. And yet, many are not embracing the role professionals urgently need them to: mitigating displacement and providing a clear path to the jobs of tomorrow.
Time for Associations to Step Up
We know this: Some jobs will decline, others will disappear, and entirely new jobs and professions will emerge. Reassuring news comes from the World Economic Forum, which predicts the impact on jobs will be a net positive, with a 7 percent increase in job growth globally between 2025 and 2030. But with 39 percent of workers’ skills on track to become obsolete in the same time period, it will no doubt be a challenging transition for the humans behind those statistics.
Right now, the burden is on individuals to anticipate how their job might be impacted by AI, find their way to promising alternative paths, and invest time and resources into education or retraining—all while many workers, at least in the U.S., are already carrying student loan debt.
Help does not appear to be on the way. Employers, as the layoffs show, are focused on cost savings, reluctant to protect jobs for fear of losing their competitive edge. Some governments, like Singapore’s, are investing in comprehensive reskilling programs, but most are not.
Higher education may provide a pathway to reeducation for millions of displaced workers, but higher ed as an institution is already facing a crisis of confidence, increasingly disconnected from the realities of a fast-changing labor market. Colleges and universities have historically aligned their degree offerings to student demand rather than helping to shuttle students into the professions that evidence suggests will be most promising.
