{"id":652773,"date":"2026-07-06T12:20:43","date_gmt":"2026-07-06T10:20:43","guid":{"rendered":"https://aivancity.ai/blog/?p=652773"},"modified":"2026-07-06T12:25:11","modified_gmt":"2026-07-06T10:25:11","slug":"on-vous-a-peut-etre-menti-sur-lia-letude-danthropic-qui-rebat-les-cartes-de-lemploi","status":"publish","type":"post","link":"https://aivancity.ai/blog/on-vous-a-peut-etre-menti-sur-lia-letude-danthropic-qui-rebat-les-cartes-de-lemploi/","title":{"rendered":"On vous a peut-être menti sur l’IA : l’étude d’Anthropic qui rebat les cartes de l’emploi"},"content":{"rendered":"\n<p class=\"text-justify wp-block-paragraph\">Since the emergence of generative AI, one question has been repeatedly raised: Which jobs will be replaced by artificial intelligence? The answers offered so far have often been based on theoretical reasoning. If an AI is capable of performing a task, then the associated job is potentially at risk. But this approach has a major limitation: there is sometimes a considerable gap between what a technology can do and what is actually used in businesses.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">It was precisely this observation that led Anthropic to publish a new study on the impacts of artificial intelligence on the labor market.<sup>1</sup> The company behind Claude employs an original methodology that relies not only on the theoretical capabilities of AI models, but also on the analysis of millions of real-world use cases observed through Claude and its API.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The findings challenge several common assumptions. Some occupations often portrayed as being at high risk actually appear to be less vulnerable in practice, while other professions—though less frequently mentioned in public debates—are already making extensive use of artificial intelligence.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-b3f1cbe7e173108d6b8046a373168ec7\" style=\"color:#986e13\">Why Employment Forecasts Are Often Misleading</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Most studies published in recent years assess the automation potential of jobs based on a simple principle: if artificial intelligence is capable of performing a human task, then that task is considered automatable.</p>\n\n\n\n<p class=\"wp-block-paragraph\">On paper, this approach seems logical. However, it overlooks many factors that slow down or prevent the actual adoption of AI.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">As Anthropic points out, certain tasks that are theoretically feasible for artificial intelligence are not necessarily used in real-world conditions due to regulatory constraints, human validation procedures, security requirements, or technical limitations of existing software.<sup><a href=\"#ref1\" type=\"internal\" id=\"#ref1\">1</a></sup></p>\n\n\n\n<p class=\"wp-block-paragraph\">In other words, technological capability alone is not enough to predict how work will actually change.</p>\n\n\n\n<p class=\"wp-block-paragraph\">That is why Anthropic has developed a new metric that combines two dimensions:</p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the theoretical ability of AI to perform a task;</li>\n\n\n\n<li>the actual usage observed in Claude products.</li>\n</ul>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This approach provides a more accurate picture of how artificial intelligence is transforming the workplace today.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-6530e7e50e5d1a4ea4088424e43a342e\" style=\"color:#986e13\">What the Anthropic Study Really Reveals</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">One of the most striking findings of the study concerns the gap between the theoretical capabilities of AI and its actual use.</p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"945\" height=\"945\" src=\"https://aivancity.ai/en/blog/wp-content/uploads/2026/07/image-2.png\" alt=\"\" class=\"wp-image-652774\" srcset=\"https://aivancity.ai/en/blog/wp-content/uploads/2026/07/image-2.png 945w, https://aivancity.ai/en/blog/wp-content/uploads/2026/07/image-2-300x300.png 300w, https://aivancity.ai/en/blog/wp-content/uploads/2026/07/image-2-360x360.png 360w\" sizes=\"auto, (max-width: 945px) 100vw, 945px\"><figcaption class=\"wp-element-caption\">The theoretical capabilities of AI are often far greater than its actual use as observed across various professional sectors. Source: Anthropic.</figcaption></figure>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The chart shows that many occupational categories already have a high potential for automation based on the current capabilities of the models.</p>\n\n\n\n<p class=\"wp-block-paragraph\">This is particularly true in the following cases:</p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>management careers;</li>\n\n\n\n<li>finance;</li>\n\n\n\n<li>computer science;</li>\n\n\n\n<li>legal matters;</li>\n\n\n\n<li>the sciences;</li>\n\n\n\n<li>the media.</li>\n</ul>\n\n\n\n<p class=\"wp-block-paragraph\">However, the actual usage observed remains significantly lower than this theoretical potential.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This finding suggests that the adoption of AI depends less on technical performance than on the specific conditions for its integration into organizations.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The study also reveals that certain sectors that are, in theory, highly exposed—such as administrative services or legal functions—are still only utilizing a fraction of the possibilities offered by artificial intelligence models.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-7b85bd3767d78a17f4130d283e00e082\" style=\"color:#986e13\">The Jobs Currently Most Vulnerable to AI</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Anthropic has also published a list of the occupations that currently have the highest observed level of exposure.</p>\n\n\n\n<p class=\"wp-block-paragraph\">Among the occupations most at risk are:</p>\n\n\n\n<style>\n.aivan-table-wrap {\n  max-width: 980px;\n  margin: 20px 0;\n  font-family: system-ui, -apple-system, \"Segoe UI\", Roboto, Arial, sans-serif;\n}\n\n.aivan-table {\n  width: 100%;\n  border-collapse: separate;\n  border-spacing: 0;\n  border: 1px solid #0064C6;\n  border-radius: 12px;\n  overflow: hidden;\n  box-shadow: 0 8px 24px rgba(0,0,0,0.06);\n  background: #ffffff;\n}\n\n.aivan-table thead th {\n  background-color: #0064C6;\n  color: #ffffff;\n  padding: 16px 18px;\n  text-align: center;\n  font-size: 15px;\n  font-weight: 700;\n  border-right: 1px solid rgba(255,255,255,0.25);\n}\n\n.aivan-table thead th:last-child {\n  border-right: none;\n}\n\n.aivan-table tbody td {\n  padding: 16px 18px;\n  vertical-align: middle;\n  font-size: 14.5px;\n  line-height: 1.6;\n  color: #1f2937;\n  border-top: 1px solid #d9e6f6;\n  border-right: 1px solid #e5eef9;\n  background: #f9fbff;\n}\n\n.aivan-table tbody td:last-child {\n  border-right: none;\n  text-align: center;\n  font-weight: 700;\n}\n\n.aivan-table tbody tr:nth-child(even) td {\n  background: #f2f7ff;\n}\n</style>\n\n<div class=\"aivan-table-wrap\">\n<table class=\"aivan-table\">\n<thead>\n<tr>\n<th>Occupation</th>\n<th>Observed exposure</th>\n</tr>\n</thead>\n\n<tbody>\n<tr>\n<td>Computer Programmers</td>\n<td>74.5%</td>\n</tr>\n\n<tr>\n<td>Customer Service Representatives</td>\n<td>70.1%</td>\n</tr>\n\n<tr>\n<td>Data Entry Operators</td>\n<td>67.1%</td>\n</tr>\n\n<tr>\n<td>Medical Records Specialists</td>\n<td>66.7%</td>\n</tr>\n\n<tr>\n<td>Marketing and Market Research Analysts</td>\n<td>64.8%</td>\n</tr>\n\n<tr>\n<td>B2B Sales Representatives</td>\n<td>62.8%</td>\n</tr>\n\n<tr>\n<td>Financial Analysts</td>\n<td>57.2%</td>\n</tr>\n\n<tr>\n<td>Software Testers</td>\n<td>51.9%</td>\n</tr>\n\n<tr>\n<td>Cybersecurity Analysts</td>\n<td>48.6%</td>\n</tr>\n\n<tr>\n<td>IT Support</td>\n<td>46.8%</td>\n</tr>\n\n</tbody>\n</table>\n</div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">These findings are particularly interesting because they primarily concern knowledge-based professions that rely on information processing, document analysis, or the production of digital content.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Contrary to popular belief, the professions most at risk are not necessarily the least skilled jobs. On the contrary, several highly specialized professions are among those most affected.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-4bdb41c4abf6811e525e9f384020a734\" style=\"color:#986e13\">Those Left Behind in Alarmist Scenarios</h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic's study also identifies a significant group of occupations that are not very exposed to AI.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">According to the company, nearly 30% of workers are in occupations whose tasks rarely appear in Claude’s observed usage.<sup><a href=\"#ref1\" type=\"internal\" id=\"#ref1\">1</a></sup></p>\n\n\n\n<p class=\"wp-block-paragraph\">These include, in particular:</p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the cooks;</li>\n\n\n\n<li>the mechanics;</li>\n\n\n\n<li>bartenders;</li>\n\n\n\n<li>the rescuers;</li>\n\n\n\n<li>skilled workers;</li>\n\n\n\n<li>agricultural occupations;</li>\n\n\n\n<li>field-based professions that require a strong physical presence.</li>\n</ul>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">These activities rely on motor skills, direct human interactions, or interventions in complex environments that are difficult to automate using current models.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This observation serves as a reminder that generative AI is primarily transforming digital and intellectual work, while many physical activities remain relatively unaffected.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-c6dc93e056148a7a460a6b08e3e5b1fa\" style=\"color:#986e13\">Does AI replace or increase the amount of work?</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">One of the key takeaways from Anthropic’s previous research is that AI acts more as a tool for augmentation than as a complete substitute for human labor.<sup><a href=\"#ref2\">2</a></sup></p>\n\n\n\n<p class=\"wp-block-paragraph\">In many cases, users rely on Claude to:</p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>write faster;</li>\n\n\n\n<li>analyze data;</li>\n\n\n\n<li>summarize documents;</li>\n\n\n\n<li>generate code;</li>\n\n\n\n<li>produce summaries;</li>\n\n\n\n<li>prepare presentations.</li>\n</ul>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Nevertheless, humans remain responsible for validation, interpretation, and decision-making.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This reality contrasts with the scenarios of mass replacement often cited in public debate. The data show that artificial intelligence changes tasks before transforming the jobs themselves.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-cca05e05c6aaa0f9b3a9a86301714583\" style=\"color:#986e13\">What This Study Means for Businesses and Employees</h2>\n\n\n\n<p class=\"wp-block-paragraph\">The approach developed by Anthropic is of particular interest to policymakers.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">By looking at actual usage rather than just technical capabilities, it becomes possible to identify more precisely the sectors where AI adoption is actually progressing.</p>\n\n\n\n<p class=\"wp-block-paragraph\">This approach can help organizations:</p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>anticipate AI training needs;</li>\n\n\n\n<li>adapt digital transformation strategies;</li>\n\n\n\n<li>identify emerging skills;</li>\n\n\n\n<li>prepare for changes in the workplace.</li>\n</ul>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">For employees, the main challenge seems to be less about replacement and more about adaptation. Skills related to data, data engineering, data analysis, generative AI, and agent-based AI are expected to continue to grow in importance across many sectors.</p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-a8ee9b39b39a51ce503289681494de4d\" style=\"color:#986e13\">The Ethical Implications of a Gradual Transformation of Work</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Anthropic's study sheds a more nuanced light on the impacts of artificial intelligence, but it does not eliminate the ethical questions.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The first concerns the pace at which skills are changing. Even though full automation remains rare, certain tasks are evolving rapidly, which requires significant training and support efforts.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The second issue concerns inequalities in access to AI. Workers with the skills needed to use these tools effectively could benefit from significant productivity gains, while others may be more vulnerable to market changes.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Finally, the evaluation methodologies themselves will need to continue to evolve. As Anthropic acknowledges, no study today can capture the full range of indirect effects that artificial intelligence could have on the economy and employment.<sup><a href=\"#ref1\">1</a></sup></p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-970ccb28dd230fa0cb19575d93edb7d0\" style=\"color:#986e13\">A study that encourages us to move beyond simplistic scenarios</h2>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The findings published by Anthropic serve as a reminder of a reality that is often overlooked: the impact of artificial intelligence on work does not depend solely on its technical performance.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">There are many factors at play between what models are capable of and what companies actually choose to use. Regulations, trust, work organization, corporate culture, and the availability of skills all have a significant impact on the pace of transformation in various industries.</p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Far from the most alarmist predictions, this study suggests that the future of work will likely be marked by an increasing coexistence between human intelligence and artificial intelligence. This will be a gradual, complex evolution—and, above all, one that is far more nuanced than the most extreme arguments would have us believe.</p>\n\n\n\n<style>\n.aiv4-pill{display:inline-flex;align-items:center;gap:4px;background:rgba(255,255,255,0.12);border:1px solid rgba(255,255,255,0.2);border-radius:20px;padding:4px 12px;font-size:11.5px;color:rgba(255,255,255,0.85);white-space:nowrap;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;}\n.aiv4-pill svg{width:11px;height:11px;flex-shrink:0;stroke:#fff;}\n.aiv4-cta:hover{background:#fff !important;color:#232641 !important;}\n@media(max-width:640px){\n  .aiv4-inner{padding:28px 20px 24px !important;}\n  .aiv4-logo{width:140px !important;}\n  .aiv4-title{font-size:21px !important;}\n  .aiv4-cta{width:100% !important;text-align:center !important;}\n}\n</style>\n\n<div style=\"border-radius:16px;overflow:hidden;margin:40px 0;position:relative;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;min-height:280px;\">\n\n  <img decoding=\"async\" src=\"https://aivancity.ai/en/sites/default/files/2025-11/banniere-ia-managers.webp\" alt=\"\" style=\"position:absolute;inset:0;width:100%;height:100%;object-fit:cover;object-position:center center;display:block;\">\n\n  <div style=\"position:absolute;inset:0;background:linear-gradient(105deg,rgba(35,38,65,0.97) 0%,rgba(35,38,65,0.88) 45%,rgba(35,38,65,0.35) 100%);\"></div>\n\n  <div class=\"aiv4-inner\" style=\"position:relative;z-index:1;padding:32px 40px 30px;display:flex;flex-direction:column;gap:18px;max-width:640px;box-sizing:border-box;\">\n\n    <div style=\"display:flex;align-items:center;justify-content:space-between;flex-wrap:wrap;gap:10px;\">\n      <img decoding=\"async\" class=\"aiv4-logo\" src=\"https://aivancity.ai/en/blog/wp-content/uploads/2026/05/BLANC-FRANCAIS-COMPLET.png\" alt=\"aivancity\" style=\"width:160px;height:auto;display:block;opacity:0.95;\">\n      <span style=\"display:inline-flex;align-items:center;gap:5px;border-radius:6px;padding:4px 10px;font-size:11px;font-weight:700;letter-spacing:0.05em;text-transform:uppercase;background:rgba(57,134,225,0.2);border:1px solid rgba(57,134,225,0.5);color:#3986e1;\">\n        ● RS6787 Certification\n      </span>\n    </div>\n\n    <div style=\"display:flex;flex-direction:column;gap:8px;\">\n      <p style=\"margin:0;font-size:11.5px;font-weight:600;color:rgba(255,255,255,0.45);text-transform:uppercase;letter-spacing:0.1em;\">Executive Training</p>\n      <h2 class=\"aiv4-title\" style=\"margin:0;font-size:26px;font-weight:700;color:#fff;line-height:1.2;\">AI & Data Science<br/><span style=\"color:#3986e1;\">s for Managers</span></h2>\n      <p style=\"margin:0;font-size:13px;color:rgba(255,255,255,0.6);line-height:1.6;max-width:480px;\">Integrate AI into your business strategy. 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Rather than simply replacing jobs, it highlights a gradual transformation of tasks, skills, and ways of collaborating between humans and machines. On a related topic, check out our article <a href=\"https://www.aivancity.ai/blog/limpact-de-lia-sur-lemploi-decrypter-les-chiffres-et-les-tendances/\"><strong>“The Impact of AI on Employment: Decoding the Numbers and Trends”</strong></a>, which analyzes the latest data on the effects of AI on the labor market and the changes currently underway in many industries.</p>\n\n\n\n<h3 class=\"wp-block-heading text-justify has-text-color has-link-color wp-elements-9563d62d3a2a5bb3e04e421e0c2d68f4\" style=\"color:#5a5e83\">References</h3>\n\n\n\n<p id=\"ref1\" style=\"text-align:justify;\">1. Anthropic. (2026). Labor Market Impacts of AI. <br/> <a href=\"https://www.anthropic.com/research/labor-market-impacts\" target=\"_blank\">https://www.anthropic.com/research/labor-market-impacts</a> </p>\n\n<p id=\"ref2\" style=\"text-align:justify;\">2. Anthropic. (2025). The Anthropic Economic Index. <br/> <a href=\"https://www.anthropic.com/economic-index\" target=\"_blank\">https://www.anthropic.com/economic-index</a> </p>\n","protected":false},"excerpt":{"rendered":"<p>Since the emergence of generative AI, one question has been raised time and again: Which jobs will be replaced by artificial intelligence? The answers offered so far have often been based on theoretical reasoning. If an AI is capable of…</p>\n","protected":false},"author":7,"featured_media":652814,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[29],"tags":[59],"class_list":["post-652773","post","type-post","status-publish","format-standard","has-post-thumbnail","category-etudes","tag-parlonsia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https://yoast.com/product/yoast-seo-wordpress/ -->\n<title>AI in the Workplace: Anthropic’s Study That Challenges Conventional Wisdom</title>\n<meta name=\"description\" content=\"Anthropic analyzes the real impact of AI on the workforce. The study reveals which jobs are truly at risk and challenges several common misconceptions.\">\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\">\n<link rel=\"canonical\" href=\"https://aivancity.ai/en/blog/on-vous-a-peut-etre-menti-sur-lia-letude-danthropic-qui-rebat-les-cartes-de-lemploi/\">\n<meta property=\"og:locale\" content=\"fr_FR\">\n<meta property=\"og:type\" content=\"article\">\n<meta property=\"og:title\" content=\"AI in the Workplace: Anthropic’s Study That Challenges Conventional Wisdom\">\n<meta property=\"og:description\" content=\"Anthropic analyzes the real impact of AI on the workforce. 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