Ever since LLMs were first introduced almost 4 years ago, the tech industry has been eager to adopt more and more AI systems to make operations more efficient and reduce costs. But this has had a few unintended consequences. One of the biggest is that the junior development pipeline has been put under immense pressure, with job openings now reaching an all-time low.
Traditionally, the junior developer pipeline was simple and, importantly, it actually worked. For decades, companies big and small have depended on a steady stream of graduates who joined as junior developers, cut their teeth on technical tasks and production work, and eventually took on more challenging duties, progressing upwards to become mid-level engineers.
It was universally accepted that junior developers were an investment of time and money, as it took time to develop their knowledge and skills. In return, tech companies had a steady stream of experienced developers who understood the business and its systems well enough to confidently complete their work and firefight during emergencies.
Is AI Replacing Junior Developers?
Sort of. Imagine for a moment that you are the leader of a tech company. It has been proven that developers with access to AI tools can complete tasks more quickly and are often more satisfied working with it. Instead of hiring several new junior developers this year, why not just hire one and transfer the tasks of the others to experienced devs, who can now complete more work with help from AI?
Overall, from a purely financial perspective, it’s understandably difficult to justify paying for the same number of junior devs at the very least.
The Argument For Hiring Juniors in 2026
But let’s not forget that there could be catastrophic industry-wide consequences for this short-term, bottom-line-motivated decision. That’s because organisational knowledge is more important in the tech industry than in most others, because each business has its own systems and processes that vary massively – all having their own strengths, weaknesses, and quirks that make them unique.
Until recently, training up junior devs was one of the best ways to build up that organisational knowledge, as they will each grow within those systems and gain an intimate, nuanced understanding of these systems. If we continue on the path that we’re on, companies will likely need to fork out even more money to tempt over more experienced devs, who might even need additional support from immigration lawyers in London if they come from abroad. Then, after all that, these experienced devs will need at least 6 months to a year to get used to the company’s systems and really hit their stride.
Closing Thoughts
In the end, this is what started as a short-term (and short-sighted) decision to cut costs could end up leading to a diminished workforce that’s unable to deliver on the goals of tech companies, as well as clients and consumers.
You can’t just hire back all of the juniors, though. We’ve passed a point of no return, where their job descriptions have also fundamentally shifted to exclude many of the tasks that AI can now do. Instead, these jobs will now train them up for the more judgement-oriented tasks of their seniors, whose roles revolve around verifying the AI code and making sure it’ll be appropriate for their systems.
