Workforce System Adapts to Rapid AI Adoption

Job training and placement professionals respond to AI's unexpected impact on jobs and skills.

Jan. 28, 2026 at 9:07am by Ben Kaplan

Got story updates? Submit your updates here. ›

Across America's workforce system, job counselors, developers, and analysts are grappling with the unexpectedly rapid adoption of Artificial Intelligence (AI) by employers and its impact on jobs and skills. The system is pivoting to focus on short-term skills upgrading rather than wholesale career changes, using AI to improve operations and services, and incorporating AI into the job placement process to better match job seekers to openings.

Why it matters

The workforce system has historically adapted to technological changes, but the speed of AI adoption is posing new challenges. How the system responds will shape the future of work and determine if this technological shift leads to large-scale job displacement or new opportunities.

The details

Workforce boards are tracking AI's initial impacts, which so far have involved integrating AI into existing jobs rather than eliminating roles entirely. This is leading to an emphasis on short-term skills training to help workers adapt as their roles evolve. Boards are also experimenting with using AI to improve their own operations, such as analyzing past outcomes to guide funding decisions. In the job placement process, AI is enabling case managers to more efficiently tailor applications to specific openings.

  • In the early 1980s, the San Francisco Renaissance Center offered job training in business machine repair, but those jobs disappeared within a decade as technology advanced.
  • In the 2020s, workforce boards in California are now closely monitoring how employers are adopting AI and its impact on skills and hiring.

The players

Michael Bernick

The author of the article and a former director of the San Francisco Renaissance Center, a job training and economic development group.

Blake Konczal

Executive Director of the Fresno Regional Workforce Development Board, which is working with local employers to upskill workers to utilize AI in their roles.

Jake Segal

A Managing Director at Social Finance who has advocated for outcomes-based funding mechanisms in workforce services to improve accountability.

Cynthia Avila

The Business Solutions Manager at the Workforce Development Board of Ventura County, which is using AI to streamline recruitment and job matching.

Got photos? Submit your photos here. ›

What they’re saying

“As AI changes the nature of the skills people use at work, even workers who have been in a field for decades may find that they are lacking key skills, creating an urgent training imperative. In fact, opportunity may increasingly be unlocked not by wholesale career switches, but by timely, targeted skill development interventions that help workers adapt as their existing roles evolve.”

— Matt Sigelman, President, Burning Glass Institute (Forbes)

“Across our sectors, in agriculture, health care, and even construction and forest management, our employers are looking into how their existing workers can better function, and we in turn are looking at how we can upskill incumbent workers with short-term interventions to enable them to utilize AI in their roles.”

— Blake Konczal, Executive Director, Fresno Regional Workforce Development Board (Forbes)

“AI is freeing up my staff from the reporting and paperwork linked to our government funding sources. We are able to spend more time interacting with employers, understanding their businesses. We have more time to spend with the case managers to get to know our job seekers.”

— Cynthia Avila, Business Solutions Manager, Workforce Development Board of Ventura County (Forbes)

What’s next

The US Department of Labor plans to offer pay-for-success funding grants to support the growth of apprenticeship programs, which will further incentivize workforce organizations to focus on outcomes-based approaches enabled by AI.

The takeaway

The workforce system is rapidly adapting to the unexpected speed of AI adoption, using the technology to improve operations, accountability, and job matching, rather than waiting for large-scale job displacement. This proactive approach positions the system to help workers and employers navigate the transition to an AI-augmented economy.