MJ Behrman, Global Head of Marketing and Media at Designit, explores how AI’s impact on entry-level roles risks eroding the real-world experiences that build judgement, confidence and essential human skills – and why HR leaders must redesign early-career development with long-term growth in mind.
Are we witnessing the death of the graduate job?
Data from recruitment group Reed shows graduate job postings have fallen by 70% in just two years. At the same time, PWC has reduced its own graduate intake.
The reason? The growing influence of AI on entry level work.
On the surface, this shift could be seen as progress. Less repetitive tasks, less admin, and less “boring” jobs that come with the territory of graduate schemes. Costs are also cut, and efficiency improves. The logic is easy to understand.
But there is a downside here. By automating away “menial” work, organisations may also be removing the very experiences that help people become confident, capable professionals – and that risks creating a soft skills gap that technology can’t fill.
This gap won’t close itself. HR leaders must rethink how emerging talent builds the human skills AI can’t replace. Redesigning talent development for long-term growth, not short-term efficiency, is vital. Or later down the line, you are going to see significant negative impact on your workforce.
The vanishing training ground
Early career roles often double as essential training grounds. Much of the learning didn’t come from official programmes or structured training sessions, but from proximity. Listening in on meetings and watching how experienced colleagues navigated uncertainty, and picking up cues through everyday collaboration.
Feedback was absorbed in real-time, often informally, as work was reviewed, adjusted and improved along the way. This kind of learning by osmosis is difficult to replicate when AI handles the basics.
Without those early exposures, emerging talent loses opportunities to build judgement, resilience, and confidence – key foundational skills of long-term professional growth.
The irony is that these are precisely the human skills organisations claim to value most in a world shaped by AI. Yet they’re often the first to disappear when efficiency becomes the primary goal. Growth and development are treated as secondary to productivity, rather than as capabilities that need to be deliberately built.
Employee growth is fundamental to building a workforce that can grow with the business. Organisations that design development into the employee experience alongside efficiency will be better equipped to navigate the impacts of AI. It’s about taking the long-term view, over the short-term gains in the bid for efficiency.
The soft skills deficit
AI excels at pattern recognition and execution. What it doesn’t do well is nuance and ambiguity in human decision-making. It can’t navigate interpersonal dynamics, read the room, or make ethical judgement calls when the rules aren’t clear.
Those capabilities are built through experience, shaped by feedback, failure and exposure to competing priorities, and strengthened over time by learning how to ask better questions.
If early-career professionals are shielded from those experiences, the impact won’t be immediate. It will emerge years later when organisations realise they have a generation of technically capable employees who struggle with leadership, collaboration, and decision-making under pressure.
Leadership qualities are shaped by the environments people grow within. Organisations that fail to design employee experiences that allow for learning and judgement risk weakening capabilities they’ll rely on to navigate complexity later in their careers.
Rebuilding the career ladder by design
HR leaders have an opportunity to rethink talent development within their organisations. The question isn’t whether AI belongs in the workplace (it does), but how it’s integrated into experiences that still prioritise professional growth.
Human-centred design thinking becomes essential. Rebuilding the career ladder with people at the centre means starting with what emerging professionals need to gain confidence and capability over time, not just what tasks can be automated today.
In practice, this could mean redesigning early-career roles to combine AI-enabled efficiency with meaningful responsibility; creating structured opportunities for mentorship and feedback, for example. It also means recognising that inclusive growth doesn’t happen by default; it has to be intentionally designed.
This requires HR to think less like administrators of roles and work more like designers of progression. By mapping employee journeys, identifying critical moments that shape confidence and judgement, and deliberately designing for them, organisations can ensure AI supports human development rather than replacing it.
Using AI to support development
When designed thoughtfully, AI can strengthen professional development. It can remove busy work, surface insights faster, and create more space for problem-solving, creativity, and connection – but only when organisations are clear about the human capabilities they’re trying to build.
Used without intention, AI risks stripping away the experiences that develop judgement, confidence, and leadership over time.
In an AI-driven world, real advantage will come from those who design work that helps people grow.
The post When interns disappear: How AI is hollowing out early-career training first appeared on HR News.