AI and Entry-Level Roles

The rapid spread of generative Artificial Intelligence (AI) since late 2022 has sparked an urgent debate: is AI creating opportunities for workers, or quietly eroding entry-level jobs? Recent large-scale research from Stanford University, based on payroll data covering millions of U.S. workers, provides some of the clearest evidence yet. It suggests that while overall employment remains strong, entry-level workers in AI-exposed professions are already experiencing significant declines in hiring.

For employers and graduates alike this finding is both a warning and an opportunity. At Ashdown Group we believe it is crucial to understand which roles are most at risk and how organisations can adapt by reimagining the early-career pipeline.

AI and Employment Research

The Stanford study identified six facts about how AI is affecting employment. Three stand out for HR, marketing, accounting and IT:

Preparing for the Future

I think it's fair to say we have moved on from questioning whether to adopt AI. A serious challenge is how to redesign training and career pathways so that junior staff can still acquire essential skills in a world where routine tasks are automated.

Ultimately, the firms that will thrive are those that view AI not as a shortcut to reduce headcount, but as a catalyst to reshape the profession’s talent pipeline. By deliberately reengineering training pathways, they can ensure that the next generation of accountants remain both technically grounded and strategically capable, blending the efficiency of AI with the professional judgment and scepticism that only humans can provide

Why are younger workers disproportionately affected?

The research suggests AI is especially good at replacing codified knowledge – the textbook knowledge that young graduates bring fresh out of university. By contrast, tacit knowledge – built up through years of experience – is harder for AI to replicate.
This dynamic may explain why companies retain experienced staff while slowing entry-level hiring. But it also opens the door for a new type of graduate role: one that is less about performing routine tasks and more about deploying AI effectively.
We see a clear case for redefining the graduate proposition. Instead of relying on junior employees to perform repetitive tasks, a more engaging and purposeful role can be carved out for early-career recruits.

• Invest in AI literacy. Ensure that new hires are trained not just in their discipline but in how to use, evaluate, and improve AI tools.
• Recast graduate roles. Position entry-level staff as AI productivity multipliers, tasked with integrating AI into workflows rather than being displaced by it.
• Retain human judgment. Use AI to handle scale and speed, while empowering graduates to focus on ethical oversight, creativity, and problem framing.

Summing Up

The message is clear - entry-level jobs in HR, marketing, accounting, and IT are changing rapidly under the influence of AI, and right now, that means fewer entry-level vacancies. For employers, this means rethinking hiring and training strategies. For graduates, it means adding value by developing AI fluency and adaptability alongside core professional skills.