Artificial intelligence is re -shaping job markets. For some, it is taking jobs away, for others, making them more productive and efficient. After this turmoil, a new study by Stanford shows that it is young employees who are becoming the most difficult hit by AI. Research suggests that so far, generic AI tools such as chatgip are removing entry-level opportunities in coding and other A-exposed fields. All benefiting experienced professionals.

Economists Ericks Brianjolphson, Ruu Chen and the study conducted by Bharat Chandra analyzed parole data from ADP covering millions of workers in the US in late 2022-when the chat launched and in mid-2012. Conclusions show that while employment in the US remains widely strong, generic AI has recorded a sharp decline in opportunities for workers between 22 and 25 years of age in industries such as software development and customer service.

AI is the most difficult to kill young developers

According to the report, budding developers are the highest at risk. Entry-level coders are traditionally looking at a low opening in the form of several tasks assigned to them, such as writing basic codes or debugging, can now be handled quickly by the AI ​​system. In fact, data shows a decline of about 16 percent in employment among young workers in AI-EPPOSED industries since 2022, with software engineering among the most difficult hits.

On the other hand, more experienced professionals in the same areas are largely untouched. In some cases, their employment levels have also increased marginally. According to the researchers, the different effects on young and experienced professionals are due to the difference between “book knowledge”, which AI can easily repeat, and “silent knowledge” such as problems-solution skills, decisions and team management, which are difficult to copy for machines.

But AI is not completely stopping work

Despite the decline in junior roles, the study emphasizes that AI is not collapsing the entire industries. In fact, overall job numbers in technology and customer-facing areas remain stable. Instead, companies are asked to reduce their dependence on new fares by maintaining or expanding roles for experienced employees. Importantly, wages have not dropped significantly, suggesting that the firms are managing disruption by slowing down the recruitment rather than reducing salary.

In short, the study states that AI is re -shaping the structure of the workforce rather than ending jobs lump sum. Rolls that depend a lot on repetitive tasks, such as answering customer questions or writing boilerplate codes are at the limits of automation. But in areas where AI is serving as an assistant instead of replacement, the employment level is increasing or even increasing.