It’s America’s fastest-growing job – thanks to ChatGPT | CNN Business

CNN - Feb 27th, 2025

The job market for artificial intelligence has witnessed a significant surge, with AI-related job postings in the United States increasing by 68% since the end of 2022, according to a collaborative analysis by the University of Maryland and LinkUp. This uptick is attributed to the 'ChatGPT effect,' as the launch of OpenAI's chatbot has spurred demand for AI skills, replacing many traditional IT jobs. Notably, IT job postings have dropped by 27% in the same period. Despite some tech giants laying off workers after major AI investments, the AI sector continues to attract substantial financial backing, with Microsoft and a collaboration between OpenAI, SoftBank, and Oracle planning hefty investments in AI infrastructure.

The rise in AI jobs occurs amidst a broader hiring slowdown attributed to companies seeking greater efficiency due to high interest rates and reduced credit access. This trend is evident in the growth of AI consulting roles and an increasing preference for offshoring high-skilled positions to cut costs. While concerns about AI-induced unemployment persist, experts like Anil Gupta suggest the technology could lead to a more efficient workforce, potentially reducing the workweek to four days in the future. The global AI race is intensifying, with startups like China's DeepSeek potentially accelerating industry growth through their open-source approaches.

Microsoft Open Ai Chat Gpt Artificial Intelligence University Of Maryland Job Market Deep Seek Link Up Ai Infrastructure

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RATING

6.8

Fair Story

Consider it well-founded

The article provides a comprehensive overview of the current state of the AI job market, highlighting both the opportunities and challenges presented by the rise of artificial intelligence. It effectively uses data from credible sources to support its claims, though some areas would benefit from further verification and transparency regarding methodologies.

The article is timely and relevant, addressing a topic of significant public interest and potential impact on employment and economic policy. It engages readers by presenting a balanced view of the issues, though it could enhance engagement by incorporating more personal stories or interactive elements.

Overall, the article is well-written and accessible, with a clear structure and logical flow. It effectively addresses controversial topics that are central to current debates about AI and employment, encouraging readers to consider the broader implications and engage in discussions about the ethical and practical challenges of AI adoption.

Accuracy

The article presents several key claims about the AI job market, including a 68% increase in AI job postings and a 27% decline in IT job postings since the end of 2022. These statistics are attributed to AIMaps data, which lends credibility if the methodology is sound. However, the article also cites a 124% growth in AI job postings on ZipRecruiter, which should be cross-referenced with other job market analytics for verification.

The story mentions the 'ChatGPT effect' as a cause for the spike in AI-related job postings, a claim that requires further evidence from multiple sources. Additionally, the statement that AI tools like GitHub Copilot can handle 60-70% of coding tasks, potentially reducing workforce needs, should be supported by empirical studies or industry expert opinions.

The article accurately references a World Economic Forum survey indicating that 41% of employers plan to downsize their workforce in favor of AI by 2030. This claim is significant and should be verified through the original survey data. Overall, while the article provides a comprehensive overview of the AI job market, some claims need additional verification to ensure precision and truthfulness.

Balance

The article provides a detailed analysis of the growth in AI job markets and the decline in traditional IT roles, presenting a balanced view of the current employment landscape. It highlights both the opportunities in AI and the challenges faced by workers in traditional IT roles, offering a broad perspective on the topic.

However, the article could benefit from including more diverse viewpoints, particularly from those who may be negatively impacted by the rise of AI, such as displaced IT workers or labor unions. The perspectives of policymakers or educators on how to address the skills gap in the workforce would also add depth to the discussion.

Overall, while the article does a good job of covering the main points about AI job growth and its implications, it could improve its balance by incorporating a wider range of perspectives and addressing the potential societal impacts more thoroughly.

Clarity

The article is generally clear and well-structured, presenting information in a logical sequence that makes it easy for readers to follow the main points. It effectively uses subheadings to organize content and guide readers through the discussion of AI job market trends.

The language is straightforward and accessible, avoiding overly technical jargon that could confuse readers unfamiliar with the subject. However, some sections could benefit from additional context or explanations, particularly when discussing complex topics like AI's impact on workforce efficiency or the specifics of investment plans.

Overall, the article maintains clarity and readability, but it could enhance comprehension by providing more detailed explanations of some of the more complex concepts and claims discussed.

Source quality

The article draws on a variety of credible sources, including data from the University of Maryland, LinkUp, ZipRecruiter, and the World Economic Forum. These sources are generally reliable and authoritative, lending credibility to the claims made in the article.

The inclusion of expert opinions, such as those from Anil Gupta, a professor at the University of Maryland, adds depth and authority to the analysis. However, the article could enhance its source quality by including more direct quotes or data from primary sources, such as the original studies or reports referenced.

Overall, the article demonstrates strong source quality by relying on reputable organizations and experts, but it could improve by providing more direct access to the underlying data and research.

Transparency

The article provides some transparency by citing specific data points and attributing them to credible sources like AIMaps and ZipRecruiter. However, it lacks detailed explanations of the methodologies used to gather and analyze this data, which would help readers understand the basis for the claims made.

While the article mentions a collaboration between the University of Maryland and LinkUp, it does not delve into how the AIMaps program tracks job growth or the specific criteria used. More transparency about the data collection and analysis processes would enhance the article's credibility.

Additionally, the article could improve transparency by clearly stating any potential conflicts of interest, such as affiliations or funding sources for the studies mentioned. Overall, while the article provides some context, it could benefit from more detailed explanations of the methodologies and potential biases involved.