AI Skills Are Becoming the New Entry-Level Hiring Signal
Clara Shih, founder and CEO of the New Work Foundation and former Meta business head, argues that recent graduates are entering a labor market where AI skills have become a decisive hiring signal while traditional entry-level pathways weaken. In a Bloomberg Technology interview with Caroline Hyde, Shih says schools are often failing to prepare students for that shift, even as AI agents take on work once assigned to junior employees and 42% of recent graduates remain underemployed.
AI skills are becoming a hiring signal as entry-level pathways weaken
Clara Shih describes the current labor market for Gen Z graduates as the worst in 37 years, with 42% of recent graduates underemployed. In her framing, underemployment means young workers who earned degrees but are bartending, working gig jobs, or taking other roles that do not require those degrees.
The pressure is not only weak demand. Shih argues that “traditional pathways are drying up” while young workers leave school without the skills, tools, and information needed to get hired in what she calls the AI economy. A Bloomberg graphic titled “Impact of AI on Hiring,” attributed on screen to the New Work Foundation, Stanford, and LinkedIn, adds a sharper hiring-market claim: 71% of hiring managers choose AI skills over seniority.
Shih says many schools are not preparing students for that shift. She acknowledges “rightful caution” around AI in colleges and K–12 education, but says many young people are being actively discouraged from using and learning AI while they are in school. The result, in her account, is that graduates do not know how to direct AI systems, set up context engineering, or apply AI workflows in meaningful ways across fields such as marketing, software engineering, and accounting.
AI agents are moving into work once assigned to junior employees
Caroline Hyde pushes the issue beyond recent graduates, pointing to layoffs across technology companies and to AI products reshaping functions such as accounting. She mentions Cloudflare, Block, and Coinbase as examples of companies where headcount reductions or business results have become part of the discussion about how the sector is changing.
A Bloomberg graphic attributed to Challenger, Gray & Christmas says 33,361 technology jobs were cut in April and 85,411 cuts were planned so far that year.
Shih does not offer a precise forecast for the future shape of the tech sector. Her answer is cautious: “It’s really hard to say.” But she identifies the direction she sees now as “much more usage of AI,” especially AI agents, to perform work that entry-level employees traditionally did.
That is the labor-market mechanism behind her focus on young graduates. If AI agents absorb more of the work that used to be assigned to entry-level employees, Shih argues, then young workers need tools, information, and experience that help them get hired in that changed environment. Her prescription is not to resist the trend by argument alone, but to equip young workers to operate inside it.
The layoff context is not presented only as a single-month number. A Challenger, Gray & Christmas chart titled “Tech layoffs picking up” tracks technology job cuts as a percentage of total job cuts from March 2020 through a projected 2026, underscoring Hyde’s question about what the tech sector will look like as layoffs mount.
Gen Z’s objections to AI are treated as a reason to include them, not sideline them
Hyde raises the backlash against AI directly: environmental cost, threats to creativity, royalties, payouts, and the resistance some young people may feel toward adopting the technology at all. She also references public reactions to Reese Witherspoon urging people, particularly women, to use AI more.
Clara Shih says the New Work Foundation has encountered those concerns in its own work. One of her co-founders, Samantha, is Gen Z, and Shih says she has heard through Samantha and her friends that many young people have moral objections and worries about AI.
Her response is not that those objections are irrational or irrelevant. It is that the people raising them should be involved in building the path forward.
These are the exact people we want being part of building the solutions so that we can capture their concerns and creatively build the right path forward that addresses what they want, but also doesn't leave them behind in this new economy.
The balance Shih proposes is both ethical and practical: include young workers’ objections in the design of AI practices, while still helping them develop usable AI skills. Avoiding AI entirely, in her view, risks leaving them behind in the new economy.
The New Work Foundation is making AI training specific to the job being sought
Caroline Hyde notes that free AI tools and training already exist from companies such as IBM and Amazon, and asks why Shih needed to build something different. She names JobClaw and Field Report as part of the New Work Foundation’s initial set of free AI tools. Shih’s answer is that the problem is not merely access to content. It is navigation.
Clara Shih says there are “hundreds of thousands of hours” of AI courses and certifications available, some free and some expensive. For workers of any age, she argues, the volume is overwhelming. A general AI course may not tell a recent graduate what an employer now expects in a specific entry-level role.
The New Work Foundation’s approach, Shih says, is to go “job by job” across common entry-level white-collar roles and break down what it takes to become “AI native” in each one. She names marketing, software, investment banking, and legal work as examples.
The method is grounded in two kinds of interviews. First, the foundation talks to hiring managers who are already using AI and asks them to describe clearly how their expectations have changed over the prior 12 months because of AI and agents. Second, it interviews Gen Z workers who had struggled to find work but recently landed jobs in those roles, so they can share practical advice.
Shih’s claim is not that young workers need abstract familiarity with AI. It is that they need to know how AI changes the tasks, workflows, and hiring signals inside the actual jobs they are applying for.