“81% of AI users say it helps them identify new ways to apply their skills for future progression. For first-generation students, that kind of visibility can be especially valuable in navigating unfamiliar career paths.” — John Woods, provost and chief academic officer, University of Phoenix
The University of Phoenix Career Institute has released its annual Career Optimism Index®, a recurring national workforce study that tracks shifting attitudes in the labor market. The 2026 Index points to a new dynamic: half of workers (50%) say AI makes them more confident about pivoting to a new role—signaling a potential shift from “job hugging” to “job hopping” that could put power back in employees’ hands. The last time workplace power tilted so strongly toward workers was in 2022, when employers faced a wave of resignations as talent sought
greater mobility and opportunity.
The findings also highlight growing confidence tied to AI adoption. More than half of workers (53%) say advancements in AI are boosting their confidence in building new skills. Additionally, 75% say AI increases their confidence at work, while 81% say it helps them identify new ways to apply their skills for future growth.
At a time when low turnover rates and broader job losses continue to cloud the U.S. labor market, the question remains: can AI-fluent talent reshape the landscape? And what role might international students—many of whom are increasingly enrolling in AI-focused programs—play in this evolving job market? Do first-generation college students equipped with AI literacy have the potential to rise in a rapidly changing workforce?
To explore these questions, The American Bazaar spoke to Provost and Chief Academic Officer John Woods at the University of Phoenix, about whether employers have an opportunity to move from AI experimentation to a more structured workforce strategy by defining clear AI career pathways and standards.
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The American Bazaar: The Career Optimism Index® study shows that 50% of workers feel more confident about changing roles because of AI. Are we witnessing the early stages of a new “quiet reskilling economy,” where employees are proactively preparing for mobility outside traditional employer-led pathways?
John Woods: We are seeing the early signs of that shift. Even in a labor market where many workers are prioritizing stability, they are also quietly preparing for what comes next by building AI skills on their own terms.
The Career Optimism Index® shows that 50% of workers are learning AI independently and 50% feel more confident pivoting into new roles because of it. That combination suggests reskilling is happening, but often outside formal employer pathways – which creates a looming retention risk for organizations who fail to channel this optimism into opportunity at work.
What does this signal about gaps in employer-led training—and how should organizations rethink their role in structured, equitable upskilling?
It signals that employee demand is outpacing organizational support.
While workers are taking initiative, 60% still say they want more guidance, yet only about a quarter report receiving AI training, access to tools, or direction on how to apply AI in their roles. The gap is not based on desire for independence but rather lack of another option.
Organizations need to move beyond offering simply access and toward structured enablement, where AI learning is integrated into roles, supported by managers, and connected to clear opportunities for growth.
Your data suggests that employees with access to a clear AI strategy report significantly higher job satisfaction. What does “AI clarity” actually look like in practice, and where are most organizations falling short today?
AI clarity means employees can see how AI connects to their day-to-day work and their future.
In practice, that includes defined expectations for AI use, access to the right tools, manager support, and a clear link between skill-building and career progression. When that clarity is present, job satisfaction rises significantly — 87% versus 72% for those without it.
Where organizations fall short is making that connection visible. Many are encouraging AI use, but employees do not consistently see how it translates into growth within the company.
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For first-generation higher education students—many of whom pursue credentials as a pathway to economic mobility—how can AI tools and AI-integrated curricula help level the playing field, rather than deepen existing inequities?
AI has the potential to expand access to skills, confidence, and career pathways — but only if it is implemented intentionally for all groups of students.
The data shows that 81% of AI users say it helps them identify new ways to apply their skills for future progression. For first-generation students, that kind of visibility can be especially valuable in navigating unfamiliar career paths.
The responsibility for higher education is to ensure AI tools are accessible, practical, and embedded into learning in a way that connects directly to workforce outcomes, so they support mobility for all rather than widen gaps.
Nearly half of employers say they are concerned about retaining AI-fluent talent. In your view, will AI ultimately rebalance workplace power back toward employees, similar to what we saw during the Great Resignation—or is this a fundamentally different shift?
During the Great Resignation, power was driven by labor market conditions. Today, it is being shaped by skills acquisition and confidence. AI is giving workers new ways to build capabilities and think about mobility, even while overall turnover remains relatively low.
That creates a more subtle but meaningful shift in leverage. Nearly half of employers are concerned about retaining AI-fluent talent, which reinforces that organizations will need to connect AI enablement and skill development to internal opportunity if they want to keep their top talent.