{"id":12626,"date":"2024-12-05T04:01:02","date_gmt":"2024-12-04T17:01:02","guid":{"rendered":"https:\/\/www.hiringlab.org\/au\/?p=12626"},"modified":"2025-02-13T11:37:22","modified_gmt":"2025-02-13T00:37:22","slug":"rapid-growth-in-genai-job-postings-expectations-and-surprising-trends","status":"publish","type":"post","link":"https:\/\/www.hiringlab.org\/au\/blog\/2024\/12\/05\/rapid-growth-in-genai-job-postings-expectations-and-surprising-trends\/","title":{"rendered":"Rapid Growth in GenAI Job Postings: Expectations and Surprising Trends"},"content":{"rendered":"\n<p><strong>Key Points:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The share of job postings mentioning GenAI or related terms has skyrocketed over the past year, up three times in Australia and even faster in other countries.<\/li>\n\n\n\n<li>Data analytics consistently ranks as the sector with the highest GenAI postings share across all nine analysed countries. Scientific research and software development also rank highly in eight of these countries. However, beyond these three sectors, GenAI usage varies considerably by country.<\/li>\n\n\n\n<li>Global trends show consistent patterns in sectors where GenAI-related job postings exceed expectations (scientific research, arts &amp; entertainment, industrial engineering) and those where usage falls short (medical information, insurance, logistic support).&nbsp;<\/li>\n\n\n\n<li>In Australia, underperformers were consistent with global trends, with GenAI-related job postings below expectations in the accounting, insurance, logistic support and medical information sectors. The Australian sectors that exceeded expectations, including architecture, arts &amp; entertainment and scientific research, were also consistent with global trends.<\/li>\n<\/ul>\n\n\n\n<p>Over the past year, job postings mentioning generative artificial intelligence (GenAI) or related phrases have increased dramatically. In Australia, the share of job postings referencing GenAI tripled between September 2023 and September 2024, and growth has been even faster in other nations. A deeper analysis shows that the sectors in which GenAI adoption is highest in Australia (including data analytics and software development) are also largely the same sectors where the current generation of GenAI tools has a higher likelihood of replacing a human at a higher share of common skills. However, there are also some surprising sectors where GenAI adoption is underperforming or overperforming expectations in Australia and worldwide.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXck-XsVmN_em1w1o0MVkSrLbRsOvMxjRSYEYP6XgbyTOgd2kF9A8dyX3p-ZETklm439BssrpXwmCQXLPpGX1osqxSmSjRB92ZvFhgRoVBOIdWWRxn_vPucfR83hhqX05z0iiF5d?key=rLnaE-LM6HzOquCOP2pmoYBZ\" alt=\"Bar graph titled \u201cGenerative AI postings.\u201d With a horizontal axis ranging from 0 to 1.2%, the share of postings referencing GenAI in their job descriptions has surged over the past year, up three times in Australia and even more in other regions.\u00a0\" \/><figcaption class=\"wp-element-caption\"><em>Bar graph titled \u201cGenerative AI postings.\u201d With a horizontal axis ranging from 0 to 1.2%, the share of postings referencing GenAI in their job descriptions has surged over the past year, up three times in Australia and even more in other regions.&nbsp;<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Does GenAI usage align with expectations?<\/h2>\n\n\n\n<p>This analysis <a href=\"https:\/\/www.hiringlab.org\/2024\/09\/25\/artificial-intelligence-skills-at-work\/\" target=\"_blank\" rel=\"noreferrer noopener\">builds on previous Hiring Lab work<\/a> that assessed the likelihood of current-generation GenAI tools replacing a human at any one of more than 2,800 individual work skills on a scale ranging from \u201cvery unlikely\u201d to \u201cunlikely,\u201d \u201cpotentially,\u201d \u201clikely,\u201d and &#8220;very likely.\u201d Sectors with the highest replacement likelihood \u2014 defined as sectors where the replacement likelihood for job-relevant skills was most commonly rated \u201cpossible,\u201d \u201clikely,\u201d or \u201cvery likely\u201d \u2014 were typically found in knowledge-intensive jobs, particularly those involving repetitive or data-driven tasks. The tech sector and various back-office roles, including accounting, marketing, administrative assistance and human resources, were among those with a high theoretical exposure to GenAI.<\/p>\n\n\n\n<p>This work explores whether workplace usage of GenAI aligns with our previous assessment of GenAI\u2019s ability to replace specific skills. If so, we\u2019d expect the share of GenAI-related job postings to be highest in occupations with the highest share of skills \u201clikely\u201d or \u201cpossibly\u201d replaced by GenAI and minimal in jobs with a lower replacement likelihood. We conducted this analysis across nine countries using September 2024 data.&nbsp;<\/p>\n\n\n\n<p>We found that sectors where GenAI is most likely to replace certain skills typically have a higher share of job postings mentioning these tools. But there are some surprises: Some sectors with a relatively high share of skills likely to be replaced (including accounting and insurance) have virtually no GenAI-related job postings. At the same time, GenAI is mentioned more often than expected in some sectors with a low replacement likelihood (like scientific research and arts &amp; entertainment). In all countries analysed except the US, GenAI references are typically concentrated in a small number of sectors, with many sectors \u2014 including both high- and low-replacement likelihood sectors \u2014 having no job postings mentioning GenAI.&nbsp;<\/p>\n\n\n\n<p>Some deviation from expectations is to be expected. Hiring Lab\u2019s earlier analysis only tested the capabilities of OpenAI\u2019s <a href=\"https:\/\/openai.com\/index\/hello-gpt-4o\/\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-4o model<\/a> and did not assess any other GenAI tools \u2014 some of which are highly specialised towards specific skills. And while GenAI may be able to perform a range of skills at a high level, workplace adoption may still lag behind due to a lack of infrastructure or processes to facilitate its usage, along with regulatory limitations or even moral or cultural concerns.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Where is GenAI most commonly found?&nbsp;<\/h2>\n\n\n\n<p>Across all nine countries analysed \u2014 Australia, Canada, France, Germany, Ireland, Singapore, Spain, the United Kingdom and the United States \u2014 data analytics was the sector where GenAI was most likely to be mentioned in job descriptions. Roles within data analytics, including data scientists and\/or data engineers, often either work directly developing GenAI tools or heavily incorporate GenAI into their workflows. In Australia, 6.3% of data analytics job postings referenced GenAI in September, a middle-of-the-pack reading that was higher than the share in the UK, US and Germany but lower than shares in Ireland, Singapore and Spain.&nbsp;<\/p>\n\n\n\n<p>GenAI is also prominent in software development and scientific research postings, ranking among the top five sectors for GenAI postings in eight of the nine countries analysed. Software development missed out in Germany, and scientific research in Ireland.<\/p>\n\n\n\n<p>Beyond these sectors, references to GenAI tools are more variable from country-to-country. In&nbsp; Canada, Ireland, and Spain, marketing job postings often mention GenAI, while media &amp; communications stand out in the US and the UK. In Singapore, unlike most other countries analysed, GenAI is frequently mentioned in medical information and architecture roles.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXc_NulxpvdB5P95fqi_BfDWMDkHBIbCnjIF8z6veoA7jkYDA2wwd4jMsVL-9BAolVizUXVRGD9tYk0HF9PVFGKdKmdP18Nr1eS8KL2NR_YsGm46Olo2Hv3zwQ7dK846QmqiLyv2bQ?key=rLnaE-LM6HzOquCOP2pmoYBZ\" alt=\"Table titled \u201cGenAI job posting share, selected countries.\u201d Indeed\u2019s data shows the top five sectors for GenAI posting share across nine countries, with data analytics ranking first in all nine countries. Scientific research and software development charted in eight countries each.\u00a0\" \/><figcaption class=\"wp-element-caption\"><em>Table titled \u201cGenAI job posting share, selected countries.\u201d Indeed\u2019s data shows the top five sectors for GenAI posting share across nine countries, with data analytics ranking first in all nine countries. Scientific research and software development charted in eight countries each.&nbsp;<\/em><\/figcaption><\/figure>\n\n\n\n<p>These variations underscore the lack of a universal roadmap for GenAI adoption. Adoption rates differ by country and sector, leading to unique trends outside the few tech-related sectors where GenAI is central to performing the role. Even within those tech sectors, like data analytics, references to GenAI within job descriptions can vary significantly across regions.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">GenAI trends are broadly consistent with expectations<\/h2>\n\n\n\n<p>Growth in GenAI-related job postings aligns broadly with expectations based on each occupation\u2019s potential GenAI replacement likelihood. However, there were still a few surprises.&nbsp;<\/p>\n\n\n\n<p><strong><em>Observations from data in September 2024:<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A positive relationship exists between the share of GenAI postings and GenAI replacement likelihood. The linear correlation coefficient ranges from 0.42 in Australia to 0.57 in France, indicating that sectors with higher exposure to GenAI often have a larger share of job postings mentioning GenAI tools.&nbsp;<\/li>\n\n\n\n<li>GenAI usage is relatively narrow in Australia compared to other countries. In September, 22 occupational categories in Australia had no GenAI mentions, compared to 13 sectors in Canada, 10 sectors in the UK and just 4 sectors in the US.&nbsp;<\/li>\n\n\n\n<li>Some sectors with a high-replacement likelihood, including accounting in Australia and insurance or medical information in other nations, had no GenAI-related job postings in September 2024. That does not necessarily mean that workers in these industries aren\u2019t using these tools, but it suggests that GenAI-based skills are not crucial for recruitment.<\/li>\n\n\n\n<li>Some sectors with only moderate theoretical exposure (where GenAI is \u2018likely\u2019 or \u2018possible\u2019 to replace fewer than 55% of skills), including the scientific research and arts &amp; entertainment sectors, have a relatively high number of GenAI-related job postings.&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXcU6dFd_SnUwuVG-6w5ktpbGdtIQwLqoGcTXfhXSPo6v1A-ASO6YheWqT7FjBpmvB5ArKTpi5mrizWXXlHSz8VpcaUvS1FSXShVOGXwkHWGBX-si6MCl704Lt2mXqBasLCDbqHKyA?key=rLnaE-LM6HzOquCOP2pmoYBZ\" alt=\"Multi-country scatterplot titled \u201cGenAI job posting share &amp; sector replacement likelihood.\u201d With a vertical axis measuring sector replacement rating and a horizontal axis measuring GenAI posting share in September 2024, there is a positive relationship between the two, with the sectors with the highest replacement likelihood typically having the highest GenAI posting share.\u00a0\" \/><figcaption class=\"wp-element-caption\"><em>Multi-country scatterplot titled \u201cGenAI job posting share &amp; sector replacement likelihood.\u201d With a vertical axis measuring sector replacement rating and a horizontal axis measuring GenAI posting share in September 2024, there is a positive relationship between the two, with the sectors with the highest replacement likelihood typically having the highest GenAI posting share.&nbsp;<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Unexpected trends in GenAI adoption<\/h2>\n\n\n\n<p>To identify the biggest surprises in GenAI adoption, we established two criteria. These criteria identify occupations where GenAI is mentioned more often or less often than expected, given the sector\u2019s skill replacement likelihood and each nation\u2019s GenAI posting share.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><em>Fewer GenAI postings than expected:<\/em><\/strong> If a sector\u2019s posting share was less than one-third the national average and the skill replacement likelihood was 55% or above.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong><em>More GenAI postings than expected:<\/em><\/strong> If a sector\u2019s posting share was more than 1.5 times the national average and the skill replacement likelihood was less than 55%, or if the sector\u2019s posting share was greater than the national average and the skill replacement likelihood was below 45%.<\/li>\n<\/ul>\n\n\n\n<p>Several patterns emerged across regions. The GenAI posting share was lower than expected in sectors including medical information (eight countries), insurance (seven countries) and logistic support (four countries). It was also relatively low in accounting and administrative assistance (three countries each). In Australia, underperformers were consistent with global trends, with GenAI-related job postings below expectations in the accounting, insurance, logistic support and medical information sectors.&nbsp;<\/p>\n\n\n\n<p>In these sectors, GenAI may be able to perform a range of skills at a high level. However, workplace adoption may lag behind due to various factors, such as a lack of infrastructure or processes to facilitate its usage, regulatory limitations or even moral or cultural concerns. Some of these factors may be addressed in the near term, and we certainly expect businesses globally to invest heavily in their AI capacity. Still, others may prove more challenging to overcome. The <a href=\"https:\/\/www.whitecase.com\/insight-our-thinking\/ai-watch-global-regulatory-tracker-united-states\" target=\"_blank\" rel=\"noreferrer noopener\">regulatory response from national or regional governments<\/a> will play a key role in how GenAI usage evolves.&nbsp;&nbsp;<\/p>\n\n\n\n<p>According to the <a href=\"https:\/\/www.imf.org\/en\/Publications\/Staff-Discussion-Notes\/Issues\/2024\/01\/14\/Gen-AI-Artificial-Intelligence-and-the-Future-of-Work-542379\" target=\"_blank\" rel=\"noreferrer noopener\">International Monetary Fund (IMF)<\/a>, some occupations are shielded from AI-driven job displacement. That level of protection or shielding varies across countries and will change over time. Occupations with a high level of shielding, including judges and medical practitioners, where decisions have significant consequences and where mistakes can be more costly, are less likely to experience displacement due to GenAI technologies, even if the tools themselves are capable of performing those skills.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXc9rlbmddkOb5HFeW0-DnhdK84a8gGA9uVOZEULJNoNvaoLxSmwmcMFvkuasT1cBU40AJfGIrKO21W4-k9Mant85QZ4IEj6Cq4BIvSd3KgwWPC7JbDeFt4sUZyMEsJEbsscmh2ZOQ?key=rLnaE-LM6HzOquCOP2pmoYBZ\" alt=\"Table titled \u201cSurprises in GenAI adoption, July 2024.\u201d This table shows the sectors with fewer or more-than-expected GenAI postings based on the sector's exposure to GenAI. Sectors like accounting have fewer-than-expected GenAI postings, while scientific research and management have more-than-expected.\u00a0\" \/><figcaption class=\"wp-element-caption\"><em>Table titled \u201cSurprises in GenAI adoption, July 2024.\u201d This table shows the sectors with fewer or more-than-expected GenAI postings based on the sector&#8217;s exposure to GenAI. Sectors like accounting have fewer-than-expected GenAI postings, while scientific research and management have more-than-expected.&nbsp;<\/em><\/figcaption><\/figure>\n\n\n\n<p>Conversely, GenAI adoption exceeded expectations in a range of sectors. Scientific research was the most obvious example, exceeding expectations in eight countries (all bar Ireland), followed by architecture (six countries), industrial engineering (six countries) and arts &amp; entertainment (five countries). The sectors that exceeded expectations in Australia, including architecture, arts &amp; entertainment, IT operations and scientific research, were also consistent with global trends.<\/p>\n\n\n\n<p>The higher-than-expected GenAI uptake in some sectors may reflect the emergence of new, highly specialised GenAI tools. Indeed\u2019s analysis focused on ChatGPT\u2019s capabilities, but there are now tools specifically designed for tasks like image creation or video processing, which may explain the higher-than-expected GenAI postings in sectors like arts &amp; entertainment or even architecture.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Assessment<\/h2>\n\n\n\n<p>Our research identifies two key takeaways. First, GenAI\u2019s rapid rise has primarily been driven by sectors where skills have a relatively high replacement likelihood, but there were notable exceptions. Second, GenAI job postings are heavily concentrated in a relatively small number of sectors, suggesting that while GenAI technology is advancing, its practical value remains unproven in many sectors \u2014 even those with high exposure.&nbsp;<\/p>\n\n\n\n<p><strong><em>Methodology<\/em><\/strong><\/p>\n\n\n\n<p><em>The analysis involved extracting job postings directly related to Generative AI, using specific keywords indicating its presence, such as \u2018Generative AI,\u2019 \u2018Large Language Models,\u2019 and \u2018ChatGPT.\u2019 For our methodology on country replacement likelihood estimates, including the most- and least-exposed occupations, please see our post <\/em><a href=\"https:\/\/www.hiringlab.org\/2024\/09\/25\/artificial-intelligence-skills-at-work\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>here<\/em><\/a><em>.<\/em><\/p>\n\n\n\n<p><em>The graph below shows the occupations with the most- and least-exposure to GenAI.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXdMN4sZfgHKPWf6F5n-jFuydXkACDL8K5bxfAfOMOZ3pvOgmUUvWcAH3hNnDOp9WW7TqHAd3eCmgquNL5szlvKNTwXi6sAhxG-Z970w2VhAI6rE7zJRw5BpFPbdbNrX96S5OAdGUA?key=rLnaE-LM6HzOquCOP2pmoYBZ\" alt=\"Bar graph titled \u201cReplacement potential to GenAI by sector.\u201d With a horizontal axis ranging from 0 to 100%, the sectors with the highest replacement likelihood include data analytics, accounting and marketing.\" \/><figcaption class=\"wp-element-caption\"><em>Bar graph titled \u201cReplacement potential to GenAI by sector.\u201d With a horizontal axis ranging from 0 to 100%, the sectors with the highest replacement likelihood include data analytics, accounting and marketing.<\/em><\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI (GenAI) usage in global workplaces has surged over the past year. Mentions of GenAI are typically most commonly found in job postings for roles where GenAI tools are better positioned to replace human skills, though there are also a few surprises.<\/p>\n","protected":false},"author":103,"featured_media":12627,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"recruiter-hub-blocks.php","format":"standard","meta":{"_acf_changed":true,"footnotes":""},"categories":[1],"tags":[140],"post_mwm_category":[228],"post_topic":[],"post_content_type":[],"post_duration":[],"post_actions":[],"post_franchise":[],"post_mwm_author":[182],"class_list":["post-12626","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-featured","post_mwm_category-future-of-work","post_mwm_author-cpickering"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Rapid Growth in GenAI Job Postings: Expectations and Surprising Trends - Indeed Hiring Lab Australia<\/title>\n<meta name=\"description\" content=\"Generative AI (GenAI) usage in global workplaces has surged over the past year. Mentions of GenAI are typically most commonly found in job postings for roles where GenAI tools are better positioned to replace human skills, though there are also a few surprises.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hiringlab.org\/au\/blog\/2024\/12\/05\/rapid-growth-in-genai-job-postings-expectations-and-surprising-trends\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rapid Growth in GenAI Job Postings: Expectations and Surprising Trends - Indeed Hiring Lab Australia\" \/>\n<meta property=\"og:description\" content=\"Generative AI (GenAI) usage in global workplaces has surged over the past year. 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