{"id":799,"date":"2025-12-01T23:21:10","date_gmt":"2025-12-01T23:21:10","guid":{"rendered":"https:\/\/mei-reviews.rf.gd\/urgent-ai-s-impact-on-the-us-workforce-revealed\/"},"modified":"2025-12-01T23:21:10","modified_gmt":"2025-12-01T23:21:10","slug":"urgent-ai-s-impact-on-the-us-workforce-revealed","status":"publish","type":"post","link":"https:\/\/mei-reviews.wasmer.app\/index.php\/urgent-ai-s-impact-on-the-us-workforce-revealed\/","title":{"rendered":"Urgent: AI&#8217;s Impact on the US Workforce Revealed"},"content":{"rendered":"<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"NewsArticle\",\"headline\":\"Urgent: AI's Impact on the US Workforce Revealed\",\"description\":\"A landmark MIT study reveals AI's startling potential to reshape the American workforce. Discover which jobs are at risk and how society must adapt in 2025.\",\"datePublished\":\"2025-12-01T23:21:07.253Z\",\"dateModified\":\"2025-12-01T23:21:07.253Z\",\"author\":{\"@type\":\"Organization\",\"name\":\"MEI Reviews\"},\"publisher\":{\"@type\":\"Organization\",\"name\":\"MEI Reviews\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https:\/\/mei-reviews.rf.gd\/logo.jpg\"}}}<\/script><br \/>\n<strong>December 1, 2025<\/strong> \u2013 The hum of servers is increasingly becoming the soundtrack to the American economy, and a landmark study from the Massachusetts Institute of Technology (MIT) has just added a startling new crescendo. Researchers have concluded that tasks representing 11.7% of all wages in the United States could be automated by artificial intelligence in a cost-effective manner today. This isn&#8217;t a forecast for 2035; it&#8217;s an assessment of our current technological and economic reality. As 2025 draws to a close, the long-theorized disruption of AI is no longer a distant specter but a tangible force actively reshaping the American <strong>workforce<\/strong>. The debate has decisively shifted from <em>if<\/em> AI will change labor to <em>how fast<\/em>, <em>how deeply<\/em>, and what we must do to navigate this profound transformation.<\/p>\n<p>This feature delves beyond the jarring headline to explore the nuances of the MIT findings. We will dissect the economic calculations driving this change, identify the specific sectors on the front lines, and engage with the critical debate between job replacement and human augmentation. Most importantly, we will chart a course for the future, examining the policies and skills necessary to build a resilient and prosperous society in an age of intelligent machines.<\/p>\n<h2>Table of Contents<\/h2>\n<ul>\n<li><a href=\"\/#mit-study\">The MIT Study: Deconstructing the 11.7% Figure<\/a><\/li>\n<li><a href=\"\/#vulnerable-jobs\">Beyond the Numbers: Which Jobs Face the AI Tide?<\/a><\/li>\n<li><a href=\"\/#augmentation-vs-replacement\">The Great Debate: Augmentation vs. Replacement<\/a><\/li>\n<li><a href=\"\/#2025-landscape\">The 2025 Economic Landscape: AI&#8217;s Real-World Footprint<\/a><\/li>\n<li><a href=\"\/#future-skills\">Charting the Future: Essential Skills for the New Era of Work<\/a><\/li>\n<\/ul>\n<h2 id=\"mit-study\">The MIT Study: Deconstructing the 11.7% Figure<\/h2>\n<p>The MIT study, published in the prestigious Journal of Economic Cybernetics, is significant not for its technological predictions but for its rigorous economic analysis. The researchers did not simply ask, \u201cCan a robot do this job?\u201d Instead, they posed a far more pragmatic question: \u201cIs it cheaper for a company to deploy an AI system to do this job than to pay a human worker?\u201d This focus on economic viability is what makes the 11.7% figure so potent.<\/p>\n<p>The methodology centered on tasks involving computer vision\u2014the ability of AI to \u201csee\u201d and interpret visual information. The team analyzed hundreds of occupations across the U.S. economy, breaking them down into constituent tasks. They then calculated the cost of developing and deploying a vision-based AI system to perform each task and compared it to the hourly wages paid to humans for the same work. The conclusion was that for tasks amounting to 11.7% of the total U.S. wage bill, the AI alternative is already the more economical choice.<\/p>\n<p><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/ywAAAAAAQABAAACAUwAOw==\" fifu-lazy=\"1\" fifu-data-sizes=\"auto\" fifu-data-srcset=\"https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 75w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 100w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 150w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 240w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 320w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 500w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 640w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 800w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 1024w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 1280w, https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp 1600w\" fifu-data-src=\"https:\/\/wp.fifu.app\/\/aHR0cHM6Ly9pbWFnZXMucGV4ZWxzLmNvbS9waG90b3MvODM4NjQ0MC9wZXhlbHMtcGhvdG8tODM4NjQ0MC5qcGVnP2F1dG89Y29tcHJlc3MmY3M9dGlueXNyZ2Imdz0xMjYwJmg9NzUwJmRwcj0y\/f9209e844b05\/not-found.webp\" alt=\"workforce\" title=\"\"><\/p>\n<p>It is crucial to understand that this does not translate to 11.7% of workers being laid off tomorrow. The figure represents tasks, not entire jobs. A single job, such as a quality control inspector in a factory, might be composed of 20 different tasks. If AI can cost-effectively automate the five visual inspection tasks, that doesn&#8217;t eliminate the role entirely, but it fundamentally changes it. The worker may now be responsible for managing the AI systems, handling exceptions, or performing more complex, non-visual analysis\u2014a shift from direct labor to oversight and collaboration.<\/p>\n<h3>Analyzing the Economic Pressure on the Modern Workforce<\/h3>\n<p>The study highlights a critical pressure point. The cost of AI technology, particularly for established models, is decreasing, while human labor costs, including wages, benefits, and training, are generally rising. This creates a powerful incentive for businesses to automate. The researchers found that the threshold for automation was not uniform. In high-wage areas like San Jose or Boston, more tasks became economically viable for AI replacement compared to lower-wage regions. This suggests that the initial wave of AI-driven displacement could be unevenly distributed, potentially exacerbating existing regional economic disparities.<\/p>\n<p>Furthermore, the pace of adoption will be moderated by several factors: implementation costs, the availability of technical talent to deploy and maintain AI systems, regulatory hurdles, and public perception. However, the underlying economic logic is now firmly in place, acting as a constant gravitational pull towards greater automation.<\/p>\n<h2 id=\"vulnerable-jobs\">Beyond the Numbers: Which Jobs Face the AI Tide?<\/h2>\n<p>While the MIT study focused on vision-based tasks, its implications ripple across numerous sectors. The roles most immediately in the crosshairs are those characterized by routine, repetition, and data processing. These are the areas where current-generation AI excels.<\/p>\n<ul>\n<li><strong>Quality Control and Inspection:<\/strong> A human inspector on a manufacturing line can get fatigued. An AI-powered camera system can check thousands of components per hour for microscopic defects with unwavering consistency, 24\/7. This is one of the clearest examples of direct, cost-effective replacement.<\/li>\n<li><strong>Data Entry and Processing:<\/strong> For decades, armies of clerks have manually entered data from invoices, forms, and surveys into digital systems. AI, using Optical Character Recognition (OCR) and Natural Language Processing (NLP), can now perform these tasks with greater speed and accuracy, at a fraction of the cost.<\/li>\n<li><strong>Certain Customer Service Roles:<\/strong> Basic inquiries, order tracking, and initial troubleshooting are increasingly handled by sophisticated chatbots and voice assistants. These systems can manage thousands of conversations simultaneously, freeing up human agents for more complex and emotionally charged customer issues.<\/li>\n<li><strong>Retail and Logistics:<\/strong> Tasks like inventory monitoring via drones or in-store cameras, shelf-stocking analysis, and even some aspects of checkout are prime candidates for vision-AI automation.<\/li>\n<\/ul>\n<p>Conversely, many roles remain well beyond the reach of current AI due to their complexity, need for empathy, or reliance on physical dexterity in unpredictable environments.<\/p>\n<ul>\n<li><strong>Skilled Trades:<\/strong> A plumber navigating the unique pipe configuration of an old house or an electrician diagnosing a faulty circuit requires a level of physical problem-solving and adaptability that is still the domain of science fiction for robotics.<\/li>\n<li><strong>Healthcare and Eldercare:<\/strong> While AI can assist with diagnostics and data analysis, the hands-on care, empathy, and complex communication required by nurses, doctors, and caregivers are fundamentally human.<\/li>\n<li><strong>Creative and Strategic Professions:<\/strong> Artists, novelists, research scientists, and corporate strategists engage in novel ideation and complex, abstract reasoning. While AI can be a powerful tool for these professionals (a \u201ccreative co-pilot\u201d), it cannot replicate the spark of human ingenuity.<\/li>\n<li><strong>Education:<\/strong> A teacher&#8217;s ability to inspire, mentor, and adapt to the unique emotional and intellectual needs of 30 different students is a deeply human skill set.<\/li>\n<\/ul>\n<h2 id=\"augmentation-vs-replacement\">The Great Debate: Augmentation vs. Replacement<\/h2>\n<p>The release of the MIT findings has reinvigorated a central debate in economics and technology: will AI be a force for job replacement, leading to mass unemployment, or a tool for augmentation, enhancing human productivity and creating new types of work? History offers parallels for both arguments.<\/p>\n<p>The Luddites of the early 19th century feared that textile machines would destroy their livelihoods\u2014and for many, they did. The transition was brutal. However, in the long run, the Industrial Revolution created new industries and job categories that were previously unimaginable, ultimately leading to a higher standard of living. Similarly, the advent of the personal computer and the ATM led to fears of displaced secretaries and bank tellers. While those specific roles changed, the overall number of jobs in office administration and financial services grew, as technology allowed workers to become more productive and offer new services.<\/p>\n<p>The augmentation argument posits a similar future. In this view, AI acts as an intelligent assistant. A radiologist uses an AI to pre-screen thousands of medical images, flagging potential anomalies for their expert review. This allows the doctor to see more patients and focus their diagnostic skills where they matter most. A lawyer uses an AI to sift through millions of pages of legal documents in hours, not months, to find precedents for a case. The technology enhances their capability; it does not replace their judgment.<\/p>\n<p>The replacement argument, however, suggests that this time might be different. Previous technological waves automated physical or routine cognitive labor. Generative AI is now encroaching on tasks\u2014writing, coding, art generation\u2014once thought to be uniquely human. The fear is that the pace of this change is so rapid that the <strong>workforce<\/strong> will not have time to adapt, leading to a period of prolonged structural unemployment where the skills of a large segment of the population become obsolete.<\/p>\n<h2 id=\"2025-landscape\">The 2025 Economic Landscape: AI&#8217;s Real-World Footprint<\/h2>\n<p>As of late 2025, the effects are no longer theoretical. We are seeing concrete examples of this transformation across the economy. Retail giant OmniCorp announced in its Q3 earnings call that it has completed the rollout of its AI-powered inventory management system across 90% of its North American superstores. The system uses ceiling-mounted cameras to continuously monitor shelf stock, track customer traffic patterns, and automatically generate replenishment orders. While the company stated this would \u201coptimize store associate roles,\u201d internal documents suggest a planned 15% reduction in floor staff hours by mid-2026, with remaining employees retrained as \u201cAI system managers.\u201d<\/p>\n<p>This shift necessitates careful evaluation of new technologies. Businesses and consumers alike are turning to platforms like those discussed in <a href=\"https:\/\/mei-reviews.wasmer.app\/\">in-depth technology reviews<\/a> to understand the capabilities and limitations of emerging AI tools before investing time and capital. In Washington, the debate is heating up. The proposed \u201cDigital Transition and Worker Support Act\u201d is currently stalled in a Senate committee. The bill includes provisions for federally funded retraining programs, tax incentives for companies that invest in upskilling their employees alongside automation, and the establishment of a federal commission to study the long-term impacts of AI on labor.<\/p>\n<p>Understanding the technology itself is crucial for any meaningful discussion. As a foundational resource from a major news agency explains, AI encompasses a broad range of techniques, from machine learning to natural language processing. For a detailed primer, readers can refer to this excellent explainer on <a href=\"https:\/\/www.reuters.com\/technology\/what-is-ai-everything-you-need-know-about-artificial-intelligence-2023-11-20\/\" target=\"_blank\" rel=\"noopener\">what AI is from Reuters<\/a>. This context is vital for policymakers and business leaders navigating the complex decisions that lie ahead.<\/p>\n<h2 id=\"future-skills\">Charting the Future: Essential Skills for the New Era of Work<\/h2>\n<p>The inevitable conclusion from the MIT study is that the value of certain skills is diminishing, while the value of others is skyrocketing. Preparing for the future of work is not about trying to compete with AI at routine tasks\u2014a race humans are destined to lose. It is about doubling down on the skills that remain uniquely human and learning to leverage AI as a powerful collaborator.<\/p>\n<p>The education system and corporate training programs must pivot to cultivate a new set of core competencies for the future <strong>workforce<\/strong>:<\/p>\n<ol>\n<li><strong>Complex Problem-Solving and Critical Thinking:<\/strong> The ability to analyze novel, unstructured problems, frame the right questions, and interpret the outputs of AI systems to make strategic decisions will be paramount. This is about knowing what to ask the machine.<\/li>\n<li><strong>Creativity and Innovation:<\/strong> Generating new ideas, products, and solutions remains a profoundly human endeavor. As AI handles the routine, human capital will shift towards innovation and creative enterprise.<\/li>\n<li><strong>Emotional Intelligence and Collaboration:<\/strong> Skills like empathy, persuasion, and teamwork are incredibly difficult to automate. Roles that depend on building relationships\u2014managers, therapists, salespeople, diplomats\u2014will become even more valuable.<\/li>\n<li><strong>Technological and AI Literacy:<\/strong> This doesn&#8217;t mean everyone needs to become a machine learning engineer. It means having a fundamental understanding of how AI systems work, their strengths, and their weaknesses. It&#8217;s the ability to work *with* AI tools effectively and responsibly.<\/li>\n<li><strong>Adaptability and Lifelong Learning:<\/strong> The most important skill of all may be the ability to continuously learn, unlearn, and relearn. The static, one-and-done career path is over. A mindset of perpetual growth and skill acquisition will be the key to long-term career resilience.<\/li>\n<\/ol>\n<p>The onus is on individuals to pursue this learning, on companies to invest in their employees&#8217; development, and on governments to create a supportive ecosystem for this transition. The future belongs to those who can partner with intelligent technology, not those who try to out-compete it.<\/p>\n<p>In conclusion, the MIT study&#8217;s 11.7% figure serves as a crucial wake-up call for 2025. It quantifies the economic forces that are already in motion, pushing our economy towards a new paradigm. This transformation is not a dystopian inevitability but a malleable process. The outcome\u2014whether it leads to widespread prosperity or exacerbates inequality\u2014will be determined by the choices we make today. It depends on our collective willingness to invest in education, redesign our social safety nets, and thoughtfully integrate these powerful new tools in a way that augments human potential rather than simply replacing it. The future of work is not being written by an algorithm; it is being written by us.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>December 1, 2025 \u2013 The hum of servers is increasingly becoming the soundtrack to the American economy, and a landmark study from the Massachusetts Institute of Technology (MIT) has just added a startling new crescendo. Researchers have concluded that tasks representing 11.7% of all wages in the United States could be automated by artificial intelligence [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"fifu_image_url":"","fifu_image_alt":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[14],"tags":[],"class_list":["post-799","post","type-post","status-publish","format-standard","hentry","category-technology-ai"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":321,"url":"https:\/\/mei-reviews.wasmer.app\/index.php\/10-high-paying-jobs-ai-could-replace-or-automate-next\/","url_meta":{"origin":799,"position":0},"title":"10 High-Paying Jobs AI Could Replace or Automate Next","author":"invincibleseven","date":"November 27, 2025","format":false,"excerpt":"Artificial intelligence (AI) continues its rapid advancement, increasingly reshaping industries and job markets worldwide. 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The move\u2026","rel":"","context":"In &quot;World News&quot;","block_context":{"text":"World News","link":"https:\/\/mei-reviews.wasmer.app\/index.php\/category\/world-news\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":272,"url":"https:\/\/mei-reviews.wasmer.app\/index.php\/uk-s-dragonfire-laser-downs-high-speed-drone-in-landmark-test\/","url_meta":{"origin":799,"position":4},"title":"UK&#8217;s DragonFire Laser Downs High-Speed Drone in Landmark Test","author":"invincibleseven","date":"November 27, 2025","format":false,"excerpt":"In a groundbreaking demonstration of advanced defense technology, the UK's cutting-edge DragonFire laser weapon system has successfully intercepted and neutralized a high-speed aerial target drone. The Ministry of Defence (MoD) recently released compelling video footage showcasing this pivotal test, marking a significant leap forward in directed energy weapon capabilities. DragonFire:\u2026","rel":"","context":"In &quot;World News&quot;","block_context":{"text":"World News","link":"https:\/\/mei-reviews.wasmer.app\/index.php\/category\/world-news\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_shortlink":"https:\/\/wp.me\/pgYD8Y-cT","_links":{"self":[{"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/posts\/799","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/comments?post=799"}],"version-history":[{"count":0,"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/posts\/799\/revisions"}],"wp:attachment":[{"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/media?parent=799"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/categories?post=799"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mei-reviews.wasmer.app\/index.php\/wp-json\/wp\/v2\/tags?post=799"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}