When artificial intelligence appeared on the horizon, the first thing we thought was that it was going to retire us. Later, he was going to retire the most senior profiles and now we know that it is just the opposite: is stopping job access to junior profiles. In the past, companies competed fiercely to attract young talent, but now Gen Z has found its great rival in AI.
Beginners? No, thanks. This Revelio Labs job report reveals that entry-level hiring has fallen by 35% in the United States since 2023. And it is one of many studies: this other of job offers estimates the drop in junior offers between 11 and 20% in the last year. The phenomenon is not exclusive to the United States: in Spain these data from El Confidencial They report that the Big Four are going to reduce the hiring of people under 30 years of age by between 10 and 20%. In the UK, more of the same.
AI boosts productivity… if you’re the boss. The business premise is that artificial intelligence can carry out these tasks of those people with a junior profile such as documentation, testing or writing basic code. It is not that these tasks have disappeared within the workflow, it is that they have been absorbed by higher levels in a twist of efficiency and productivity: senior profiles supervise what the AI does. And if, AI screws up.
To the question of how many hours of work per week does AI save you? from the consulting company Section collection in The Wall Street Journal There is a clear divergence between managers and staff: 40% of workers think that they are not saving anything because even if there is a quick response, there are errors and hallucinations. When you take into account the time spent going through everything, checking and redoing, the beads are not so round anymore: this Asana studio shows that employees spend 4.5 hours per week correcting AI work.
The boomerang effect. That youth encounter yet another obstacle to having a full adult life is a real drama in terms of unemployment, but this paradigm shift in hiring is also a total threat to the stability of the technological infrastructure as we know it:
- The illusion of efficiency. AI chops code faster than anyone else, but that raw data is misleading because it doesn’t consider side effects like validation.
- Operational risk. If the AI does not have human supervision at each step, it can make critical errors, serve as an example when half the internet went down for the total automation of Amazon servers.
- Of costs and responsibilities. If the AI makes a mistake and it reaches the final chain of the process, that is, delivery to the customer, it is paid. Let them tell Deloitte, they had to reimburse the cost of a report prepared for the Australian Department of Employment and Industrial Relations because it contained hallucinations.
A demographic bomb. All of the above is a toll that many companies seem willing to pay for the sake of that efficiency, but there is a devastating effect on a large scale in the medium and long term: the knowledge gap. When these senior profiles retire, there will be no one who can replace them simply because you have eliminated the training ground that is experience.
The figures have spoken: between 2024 and 2032, 18.4 million professionals in the United States will retire according to this study from Georgetown University. However, only 13.8 million new workers will gain access.
About to explode. Part of the work of senior profiles includes mentoring and all its intrinsic benefits: there are studies that confirm that increases motivation, promotes psychological well-being and even reduces exhaustion. In short: saturation of tasks, inability to delegate and the loss of that added bonus of teaching: there are many ingredients for the recipe for burnout.
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