Workforce Rewired Daily Briefing | Monday, May 25, 2026
Randstad’s CEO told CNBC this week that the college credential-to-career path is effectively over for entry-level workers in AI-exposed fields, as skilled trade wages have climbed 30 percent since 2022 while white-collar hiring slows. Separately, the AFL-CIO released its most comprehensive survey of worker attitudes toward AI, and the finding that only 7 percent of employed Americans say their employer has disclosed how AI monitors their work is not an abstract compliance concern. It is a trust deficit, and it is growing. These are separate problems. Both are worth tracking.
By the Numbers
9 in 10 U.S. workers support job and privacy protections from AI, according to the AFL-CIO / David Binder Research survey
7% of employed workers say their employer has disclosed how or when AI is monitoring their work; 70% say their employer has not
+26 net trust score for unions on AI protection, compared to net negative scores for both major political parties and employers
30% wage increase for skilled trade workers in the U.S. since 2022, per Randstad analysis of 50 million job postings
107% increase in open vacancies for robotic technicians since 2022; HVAC engineers up 67%; industrial automation technicians up 51%
25% wage premium for entry-level workers with AI certifications; promoted up to 3.5x faster than peers without them
Layoffs and Company Decisions
The Trades Are Winning. White-Collar Entry-Level Isn’t. Randstad Has the Numbers.
As AI implementation spreads and executives discover they can do more with smaller teams, white-collar hiring is slowing fastest in the sectors most exposed to automation: marketing, legal, accounting, human resources, and IT. The workers hit hardest are those with the least experience, the ones who historically learned on the job, built skills, and moved up. At the same time, the physical buildout of AI infrastructure is generating demand for trades workers that the labor market cannot yet meet. AT&T is spending $38 billion over five years and planning to hire 3,000 technicians this year alone, spending $50,000 to $80,000 per person on training. Ford and Nvidia have made similar public commitments. Randstad CEO Sander van’t Noordende told CNBC’s Squawk Box Europe that wages for skilled trade jobs in the United States have increased 30 percent since 2022, and that the traditional path of graduating college to secure a high-paying professional career is, in his words, “over.” Workers who pair trades or technical skills with AI certifications are getting promoted up to 3.5 times faster and earning a 25 percent wage premium over peers without those credentials.
Sources: CNBC, May 19, 2026; CNBC / Randstad CEO, May 20, 2026
Why it matters: The divergence is not gradual. The workers who used entry-level white-collar jobs as a first rung are being redirected to a different ladder entirely, one that requires physical presence, technical certification, and a willingness to do work that AI cannot yet automate. Workforce leaders designing pipelines for the next five years need to decide now whether they are building for the jobs that are disappearing or the ones that are scaling.
Reskilling and Education
9 in 10 Workers Want AI Protections. Only 7% Say Their Employer Is Honest About It.
The AFL-CIO released findings from its most comprehensive study of worker attitudes toward AI, conducted by David Binder Research on a national sample of 1,588 respondents from April 14 to 22, 2026. The survey, which also included focus groups and additional data from Data for Progress, found that more than 9 in 10 workers support job and privacy protections from AI, including requirements for training, transparency, accountability, and the principle that consequential decisions affecting employees must be made by humans rather than algorithms. The support cuts across party lines, with transparency, human oversight, and worker voice each testing above 72 percent agreement, with partisan gaps of only 3 to 6 points. The monitoring disclosure finding is the sharpest number in the survey: just 7 percent of employed workers say their employer has disclosed how or when AI is being used to monitor their work, while 70 percent say no disclosure has been made and 23 percent are unsure. Ninety-four percent say workers should know if AI is monitoring them. Unions were the only institution with a net positive trust score on AI protection, at plus 26, compared to net negative scores for both political parties and for employers themselves.
Source: AFL-CIO / David Binder Research, released May 14, 2026; reported by The Guardian
Why it matters: When 70 percent of workers say their employer has never told them how AI monitors their work, that is not a policy gap: it is an organizational trust gap. Leaders who have been deploying AI monitoring tools without disclosure protocols are building a compliance liability and a retention risk at the same time. The union trust premium on this issue is a direct consequence of that silence.
What Workforce Leaders Are Watching
If 70 percent of workers report no employer disclosure on AI monitoring, how many organizations have actually mapped which AI tools in their environment trigger disclosure obligations under Illinois, Colorado, or incoming state laws, and when did that mapping last happen?
The white-collar entry-level pipeline has historically served as both a hiring funnel and a talent development system. As AI compresses that channel, what replaces the structured on-ramp for early-career knowledge workers who are not headed into trades?
Unions now hold a net positive trust score of plus 26 on AI protection, while employers are net negative. What would it take for an employer to close that gap, and which organizations are already making visible moves in that direction?
The trades wage surge is real, but trades pipelines take years to build. How are organizations that depend on trades labor securing supply now, before the gap between demand and available workers becomes structurally permanent?
This briefing was prepared automatically by the Workforce Rewired research assistant. All stories include direct source links.