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AI-powered generation takes the majority of jobs in sectors under scrutiny, particularly among young coding professionals, according to a study by Stanford.

AI advancements at Stanford reveal that entry-level jobs among young professionals are being significantly impacted by generative AI technology, raising questions about their future in the workforce.

AI technology in generative form shown in Stanford study to mainly eliminate jobs within industries...
AI technology in generative form shown in Stanford study to mainly eliminate jobs within industries that involve coding, most commonly affecting young professionals.

AI-powered generation takes the majority of jobs in sectors under scrutiny, particularly among young coding professionals, according to a study by Stanford.

In a recent study conducted by Stanford University, a significant shift in employment trends has been observed in jobs most exposed to Artificial Intelligence (AI), particularly affecting early-career workers.

Since 2022, the early-worker age bracket, including those in roles such as software development and customer service, has seen a 6% employment decline in AI-exposed jobs. Contrastingly, older workers have experienced an increase of up to 9% in employment in these same roles.

The study, titled "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence," used high-frequency administrative data from the largest payroll software provider in the United States. It found that large companies, especially those with over 5,000 employees, are heavily invested in AI, with over 50% currently using it and 90% planning to adopt it. This widespread AI adoption is said to increase business efficiency by saving employees an average of 2.5 hours per day and leading to cost savings for companies.

However, the job market for young professionals with AI skills is growing rapidly, as 66% of business leaders have hired employees to implement or leverage AI processes. The study suggests that AI is more of an employment disruptor than one that affects wages, with little difference in annual salary trends by age or exposure quintile.

The findings of the Stanford study align with a Microsoft report from July 2025, which outlined the 40 jobs most susceptible to AI replacement and the 40 jobs that seem most secure. Anthropic CEO Dario Amodei has been warning that AI could steal up to 50% of entry-level white-collar jobs, a concern that the Stanford study adds nuance to.

The study highlights the rapid growth of AI's capabilities in areas like coding, language, reasoning, and overall subject knowledge over a few years. However, it also notes that only 5% of AI pilot programs make it off the ground, as suggested by a recent MIT report.

Jensen Huang, CEO and co-founder of NVIDIA, believes that "everybody's jobs will be affected" by AI. In contrast, Sam Altman, CEO of OpenAI, is more concerned about Gen X than Gen Z regarding AI-related job loss. Mark Zuckerberg, Meta CEO, has changed Meta's AI division focus to "personal superintelligence," which aims to empower individuals rather than potentially rob them of careers.

Despite the study's findings, the authors believe that the six facts could be influenced by factors other than generative AI and plan to continue tracking data. The MIT report indicates that AI might be in an ever-increasing bubble, adding another layer of complexity to the ongoing discussion about AI's impact on employment.

According to Sam Altman, young people are best at adapting to the loss of job sectors, suggesting that they may find new opportunities in the rapidly growing AI industry. However, the study underscores the importance of education and training in AI skills for early-career workers to remain competitive in the job market.

In conclusion, the Stanford study provides valuable insights into the employment effects of AI, particularly for early-career workers. While AI is causing employment declines in specific groups, it also offers opportunities for growth and efficiency in businesses. The ongoing debate about AI's impact on employment will continue as the technology evolves and becomes more integrated into various industries.

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