Fri Sep 26 16:40:00 UTC 2025: Okay, here’s a news article summarizing the text:

**Headline: AI Boom May Be Hurting Young Software Engineers, Stanford Study Finds**

**Palo Alto, CA** – A new study from the Stanford Digital Economy Lab suggests that the rise of generative artificial intelligence (AI) tools may be negatively impacting job opportunities for early-career software engineers. The research, analyzing data from payroll giant ADP, reveals a decline in employment for workers aged 22-30 in AI-exposed roles, particularly in the software development field, since the widespread adoption of AI tools in late 2022.

While demand for AI skills is increasing, the study indicates that generative AI is capable of performing tasks typically handled by junior employees, potentially leading to job displacement. Senior-level positions, which rely more on experiential knowledge, have remained stable or even grown.

“There have been conflicting stories about whether that job is being impacted by AI, especially for entry level workers,” says Bharat Chandar, one of the paper’s authors and a postdoctoral fellow at the Stanford Digital Economy Lab. He and his colleagues wanted to find data on what’s happening now.

Researchers used a combination of ADP employment data and the Anthropic Economic Index, which measures how different occupations are using AI, and whether the intent of AI usage aims to automate or augment work.

According to the study, “early-career software engineers (between 22 and 30 years old) have experienced a decline in employment. At the same time, mid-level and senior employment has remained stable or grown.”

The team cautions that AI may not be the sole factor contributing to this trend, and other shifts within the tech industry could also be playing a role. However, the researchers noted that the same trend was seen across other industries. They also found that the data was not correlated with occupations that were using AI to augment work, but rather to automate it.

The Stanford team plans to continue monitoring the data to determine the long-term impact of AI on the job market. They also hope to expand the data into other AI company data sources, as well as expand to data on employment outside of the United States.

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