‘Premature’ Means on the Way: Paul Fain and Earl Buford Sift Through AI Workforce Complexities To Kick Off Day One of CAEL’s Virtual Convening

Longtime higher education reporter Paul Fain joined CAEL President Earl Buford in a keynote kickoff to Connecting the Dots: The Education to Employment Loop¸ CAEL’s two-day virtual convening being held this week.

Fain started things off by sharing a lighthearted yet apropos AI anecdote. Claude, he told the audience, had displaced his young daughter from her usual role of helping him craft his presentation slides. The humorous story set the table for delivering one of Fain’s key points. AI is a workforce force to be reckoned with, even as some of its predicted chaos may be playing out counterintuitively. He cited several studies showing marked declines in the employment of young workers in AI-exposed occupations. The AI disruption comes as educators and employers are battling a two-headed demographic beast. Baby boomers are retiring, and there will be fewer high school graduates entering the pipeline to replace them. The U.S. labor force participation rate is only around 62%, a statistic that Fain said best captures the urgency of the moment.

Even as demographic trends create labor shortages across many industries, they are accompanied by grave predictions that AI will soon fill them. Fain cited studies showing a plunge in the hiring of young workers in AI-exposed roles and at AI-adopting organizations.

However, he also noted other analyses showing that this contraction is likely more due to interest rates and pandemic-driven over-hiring. While this suggests that the AI displacement narrative is premature, “Premature means it's coming,” Fain said.

Headlines often tout skills-based hiring and warn of the potential devaluation of college degrees in a knowledge-based economy. But Fain pointed to emerging evidence that those most vulnerable to the coming AI disruption will be the “non-degree first rung of the middle class in office work.”

Fain pointed to a survey of CFOs that revealed the vast majority anticipate that workforce priorities will favor employees with technical and management skills over clerical work. “It’s not just the jobs for these folks, it's the entire career path. It's the mobility pathway that is threatened by AI.”

Echoing the persistent relevance of a college degree, Fain shared an anecdote about apprenticeships, growing in popularity and a rare recipient of bipartisan buy-in. One major apprenticeship provider told Fain that it is discontinuing apprenticeships for non-degree holders to focus on liberal arts graduates because of their ability to be flexible amid changing jobs.

Rising above the mixed signals is the conclusion that work relevance is the ultimate credential differentiator. The response to selective labor market pressures includes increased interest in workforce-aligned non-degree credentials, Fain said. “I've heard from quite a few community colleges that have seen a surge in interest among even traditional college-age students.”

The main driver of that interest is a quest for stable jobs in the AI era. “Even though we haven't seen the impacts of AI yet, people are afraid of it,” Fain said.

The demand for relevant skills is prompting private investment in employer training programs and a surprisingly bipartisan focus on program ROI, Fain said. However, he cautioned that data systems for monitoring ROI are inadequate, particularly for noncredit short-term programs. He added that talent marketplaces and learning and employment records are rising in popularity as solutions for comprehensively integrating job experience, education, and training.

In the face of such complexity, Fain urged educators and trainers to redouble efforts to involve employers in program design and to pinpoint competencies they must deliver to students to ensure they are job ready. “Things are moving too fast to be guessing,” he said.

Buford agreed, stressing that employers must be part of the solution, not just the end point. “If hiring systems don't change somewhat, education can't alone be expected to deliver the quality of talent. We need these systems to align.” He stressed the untapped potential of extended pathways that ensure every work experience and every credential count, jointly fueling career advancement.

Fain acknowledged the persistent struggle to realize a model of truly stackable credentials, pointing out that AI could be an ironic solution for capturing diverse sources of valuable learning and boosting credential mobility, outcomes CAEL has long prioritized.

For example, a partnership between CAEL, PASSHE, and Shippensburg University helped frontline workers to earn leadership credentials while remaining on the job, providing a critical "stack" for the exact "non-degree middle class" Fain identified as most vulnerable to AI disruption.

Further bridging the divide between shop-floor experience and the registrar’s office, CAEL’s work with Renton Technical College and the Machinists Institute has created a seamless apprenticeship-embedded degree pathway. These models confirm that systems alignment can elevate once one-off credentials and jobs to verified blocks of a progressive pathway.

To scale these efforts, CAEL is deploying tools like Credit Predictor Pro, which is helping learners and institutions crosswalk prior learning into college credit, creating opportunities for reimagining work experiences into portable units of learning.

Fain and Buford also agreed that while workforce challenges are national in scope, it will take regionally developed best practices to surmount them. “What works for the Oklahoma Workforce Commission is going to be different than what works in Miami, Florida, or Maine,” said Fain. At the same time, states are looking at each other. “There's a lot more hunger for duplicating what works.”

This call for regionally tailored but scalable solutions is the driving force behind CAEL’s MyCareerForward initiative. Currently being piloted in Pittsburgh, the initiative bridges divides among industry, workforce training, and higher education. By combining human-centered navigation with data-driven career maps and Credit for Prior Learning, MyCareerForward creates a replicable "regional blueprint" designed to help adult learners navigate the specific economic DNA of their community, ensuring mobility pathways are both visible and viable for everyone.

But like so many challenges, a major challenge remains funding, Fain and Buford said. “I hear that from every side of this,” Fain said of limited public funds. “You can rely on philanthropic. It's only going to get you a little bit of the way, though. I … think … lower-income people paying for short-term credentials with credit cards is not a good solution.”

Registrants of the virtual convening can listen to the complete replay of this keynote event and download Fain’s presentation at the attendee hub.