AI in starter jobs: what employers need to know
Reading time: 5 minutes
AI is quickly becoming a more visible part of the starter job market. In Jan–Jul 2024, 4.4% of starter vacancies on Magnet.me mentioned AI or an AI-related technology. Two years later, that share has risen to 11.5%.
That means more than one in ten starter vacancies now refers to AI in some form. But an AI mention can mean very different things depending on the role. For employers, the question is no longer simply whether AI belongs in a starter vacancy, but what an AI mention actually asks of the candidate.
Contents
AI is moving beyond technical roles
Unsurprisingly, AI-related language appears most often in IT vacancies. In Jan–Jul 2026, almost three in ten IT starter vacancies included an AI-related term, up from around one in ten in the same period in 2024. What stands out is that the shift extends beyond IT. Among non-IT starter vacancies, the share mentioning AI more than doubled, from 3.5% in 2024 to 8.5% in 2026. Because this is a keyword-based analysis, an AI mention does not necessarily mean that AI knowledge or experience is a formal requirement. It could refer to a tool used in the role, an AI-related product or the wider context in which someone will work.
As AI-related language spreads beyond IT, this makes it increasingly important for employers to distinguish between roles that require AI expertise and roles in which AI is part of the working environment. If you mention AI in a vacancy, make clear what candidates will actually be expected to do with it.
It’s bigger than ChatGPT
ChatGPT may dominate much of the public conversation around AI, but it plays a relatively small role in starter vacancies. While 11.5% of starter vacancies contained an AI-related term in 2026, only around 0.4% explicitly mentioned ChatGPT or GPT. Broader terms such as AI, artificial intelligence and machine learning appeared far more frequently. For employers, this is an important distinction. Hiring for “AI” should not automatically translate into hiring for experience with today’s best-known tools. The requirement should reflect what someone actually needs to do in the role.
Learning and problem solving are appearing more often
AI is not the only development visible in the vacancy data.
Compared with 2024, mentions of communication increased by 2.2 percentage points in 2026, while eagerness to learn and problem solving both increased by 2.1 percentage points. Independence rose more modestly, by 0.7 percentage points, while adaptability and teamwork remained virtually unchanged.
We cannot conclude from this data that the rise in AI is causing these skills to appear more often in vacancies. But the pattern is worth noting alongside the increase in AI-related language. For employers, this shifts the focus from specific experience to potential: which capabilities help a starter learn, adapt and grow into the role?
What AI in a vacancy should actually signal
AI is appearing in a growing share of starter vacancies, and the increase is not limited to IT roles. But that does not mean every AI mention should translate into an AI requirement for candidates. For employers, the important distinction is between AI as part of the role and AI expertise as a requirement for the role. If candidates need hands-on experience, say what they will be expected to do. If AI is part of the tools, products or environment they will work with, make that clear too. For starter hiring, that distinction helps employers define a more accurate candidate profile: what someone needs to bring on day one, and what they can learn once they start.
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About the research
For this analysis, Magnet.me looked at full-time starter vacancies from January–July 2024 to January–July 2026. Starter vacancies were defined as full-time roles requiring less than three years of minimum experience.
A vacancy was counted as containing AI-related language when its title, tags or job description included terms such as AI, artificial intelligence, machine learning, generative AI, ChatGPT, GPT, OpenAI or Copilot.
This is a keyword-based analysis rather than a semantic classification. An AI mention therefore does not necessarily mean that AI knowledge or experience is a formal candidate requirement.
Want to read more about how AI and other trends are changing recruitment? Recruitment trends: 3 forces shaping the future of talent acquisition
