It seems like everyone has been talking about nothing but generative AI for the past few years. In a promising piece of news for generative AI, the latest data released by the job search website Indeed indicates that the United States experienced a 20% month-on-month increase in the number of jobs related to generative AI in May this year. This surge indicates that an increasing number of American companies are eager to embrace and leverage this technology to drive their business growth.

The number of AI-related job postings doubled in the last two years

The data from May reveals that there are now 204 generative AI-related jobs for every million job postings in the United States, which is more than double the figure recorded in 2021. This exponential growth signifies a significant shift in the demand for talent with expertise in generative AI.

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Among the various artificial intelligence positions posted on Indeed, data scientist roles make up 5% of the total. Additionally, positions such as software engineers, machine learning engineers, and data engineers are also highly sought-after by companies looking to capitalize on the potential of generative AI.

Nick Bunker, the Director of Economic Research at Indeed, provided his perspective on this trend, stating, “After the global explosion of ChatGPT, job seekers’ interest in artificial intelligence-related jobs has increased significantly.” The rise of generative AI models like ChatGPT has undoubtedly sparked a surge in curiosity and interest among job seekers in pursuing careers in the field of artificial intelligence. However, despite the growing interest from job seekers, Indeed reports that overall tech job opportunities in the United States have decreased by 43.6% compared to June of the previous year. The rapid increase in the number of available AI jobs has not kept pace with the rising demand from job seekers, suggesting a potential skills gap in the market.

As American companies recognize the transformative potential of generative AI, the need for skilled professionals in this field will continue to grow. Bridging the skills gap and fostering a talent pool capable of meeting the demand for generative AI expertise will be crucial, to say the least.

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