{"id":107,"date":"2026-05-18T12:37:38","date_gmt":"2026-05-18T12:37:38","guid":{"rendered":"https:\/\/convly.ai\/will-ai-take-your-job\/"},"modified":"2026-06-10T05:05:44","modified_gmt":"2026-06-10T05:05:44","slug":"will-ai-take-your-job","status":"publish","type":"post","link":"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/","title":{"rendered":"Will AI Take Your Job? An Honest Analysis for 2026"},"content":{"rendered":"<p>&#8220;Will AI take my job?&#8221; is one of the most common \u2014 and most anxiety-inducing \u2014 questions about artificial intelligence. The honest answer isn&#8217;t a simple yes or no. It&#8217;s more useful, and less frightening, than either the doom headlines or the dismissive reassurances suggest. This is a balanced, hype-free look at AI and work in 2026.<\/p>\n<div class=\"convly-tldr\">\n<h3>Principais conclus\u00f5es<\/h3>\n<ul>\n<li><strong>AI is changing jobs more than eliminating them outright<\/strong> \u2014 for now.<\/li>\n<li><strong>It automates tasks, not whole jobs<\/strong> \u2014 most roles are bundles of tasks, only some of which AI does well.<\/li>\n<li><strong>Most exposed:<\/strong> routine, predictable, digital work.<\/li>\n<li><strong>Most resilient:<\/strong> work needing human judgment, physical dexterity, and genuine interpersonal skill.<\/li>\n<li><strong>The real shift:<\/strong> &#8220;AI won&#8217;t take your job, but a person using AI well might.&#8221;<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a38a94e4a97f\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Alternar<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a38a94e4a97f\"  aria-label=\"Alternar\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#Tasks_not_jobs\" >Tasks, not jobs<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#Which_work_is_most_exposed\" >Which work is most exposed<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#Which_work_is_most_resilient\" >Which work is most resilient<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#AI_also_creates_work\" >AI also creates work<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#The_real_shift_AI-augmented_workers\" >The real shift: AI-augmented workers<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#How_to_stay_valuable\" >How to stay valuable<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#The_timeline_how_fast_is_this_actually_happening\" >The timeline: how fast is this actually happening?<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#FAQ\" >Perguntas frequentes<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#Bottom_line\" >Conclus\u00e3o<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/convly.ai\/pt\/will-ai-take-your-job\/#Related_articles\" >Artigos relacionados<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Tasks_not_jobs\"><\/span>Tasks, not jobs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The single most important idea for thinking clearly about this: <strong>AI automates tasks, not jobs.<\/strong><\/p>\n<p>Almost no job is one single activity. A job is a <em>bundle<\/em> of many tasks. A lawyer reviews documents, researches case law, advises clients, negotiates, appears in court, and manages relationships. AI is genuinely good at <em>some<\/em> of those \u2014 document review, research \u2014 and poor at others \u2014 courtroom judgment, client trust, negotiation.<\/p>\n<p>So the realistic effect of AI on most roles isn&#8217;t &#8220;the job disappears.&#8221; It&#8217;s &#8220;the job changes&#8221; \u2014 AI absorbs certain tasks, and the human&#8217;s time shifts toward the tasks AI can&#8217;t do. Some jobs will be reshaped heavily, a few may shrink away, and many will simply evolve. Framing it as tasks rather than whole jobs is what turns a scary question into a manageable one.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_work_is_most_exposed\"><\/span>Which work is most exposed<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI tends to be strongest at tasks that are <strong>routine, predictable, rule-based, and digital<\/strong>. Roles heavy in that kind of work face the most change:<\/p>\n<ul>\n<li>Routine data entry and processing.<\/li>\n<li>Basic content production of a repetitive kind.<\/li>\n<li>Simple, scripted customer service.<\/li>\n<li>Routine analysis and report generation.<\/li>\n<li>Some standardized, predictable administrative work.<\/li>\n<\/ul>\n<p>Importantly, &#8220;exposed&#8221; rarely means &#8220;eliminated overnight.&#8221; It usually means the role&#8217;s routine portions get automated and the work shifts toward judgment, exceptions, and oversight.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Which_work_is_most_resilient\"><\/span>Which work is most resilient<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Other kinds of work are much harder for AI to take. The resilient categories:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Resilient because\u2026<\/th>\n<th>Examples<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Needs physical dexterity in unpredictable settings<\/td>\n<td>Skilled trades, care work, many hands-on jobs<\/td>\n<\/tr>\n<tr>\n<td>Needs deep human connection &amp; trust<\/td>\n<td>Therapy, teaching, nursing, leadership<\/td>\n<\/tr>\n<tr>\n<td>Needs complex judgment &amp; accountability<\/td>\n<td>Senior strategy, difficult decision-making<\/td>\n<\/tr>\n<tr>\n<td>Needs genuine creativity &amp; originality<\/td>\n<td>Original creative direction, novel problem-solving<\/td>\n<\/tr>\n<tr>\n<td>Needs to navigate ambiguity &amp; the messy real world<\/td>\n<td>Crisis response, negotiation, complex coordination<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Notice that the supposedly &#8220;high-tech future&#8221; hasn&#8217;t made the physical trades obsolete \u2014 a plumber working in an unpredictable real-world environment is, in fact, one of the harder jobs to automate. Resilience isn&#8217;t about being a knowledge worker; it&#8217;s about doing work that depends on dexterity, human relationships, judgment, and ambiguity.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI_also_creates_work\"><\/span>AI also creates work<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The conversation usually fixates on jobs lost and ignores jobs created. Every major technology wave has eliminated some roles and generated others \u2014 often ones that didn&#8217;t exist before, and that were hard to predict.<\/p>\n<p>AI is already creating demand: people who build, train, and maintain AI systems; people who oversee and check AI output; roles in AI safety, ethics, and governance; and a broad new layer of work in <em>applying<\/em> AI well within every industry. History strongly suggests the net effect of a major technology is a transformed labor market, not a permanently shrunken one. That&#8217;s a reason for measured optimism \u2014 though it&#8217;s cold comfort to anyone whose specific role is disrupted, which is why the transition, and support for it, matters.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_real_shift_AI-augmented_workers\"><\/span>The real shift: AI-augmented workers<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Here&#8217;s the most practical takeaway, and it reframes the whole question. The immediate competition for most people is not &#8220;an AI.&#8221; It&#8217;s <strong>a colleague who uses AI well.<\/strong><\/p>\n<p>A common phrasing captures it: <em>&#8220;AI won&#8217;t take your job \u2014 but a person using AI might take it from someone who doesn&#8217;t.&#8221;<\/em> A designer using AI tools can produce far more than one who refuses to. A developer, a marketer, an analyst, a writer \u2014 in each case, the AI-augmented professional outpaces the one who ignores the tools.<\/p>\n<p>This is genuinely good news, because it points to an action you control. The goal isn&#8217;t to compete <em>against<\/em> AI at the things it&#8217;s good at. It&#8217;s to become someone who <em>directs<\/em> AI well, and pairs it with the human strengths it lacks.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_stay_valuable\"><\/span>How to stay valuable<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Practical steps for almost any career:<\/p>\n<ol>\n<li><strong>Learn to use AI tools in your field.<\/strong> This is now a core professional skill, like using a computer. Get hands-on.<\/li>\n<li><strong>Strengthen what AI is weak at.<\/strong> Judgment, creativity, communication, emotional intelligence, leadership, adaptability \u2014 invest deliberately in these.<\/li>\n<li><strong>Become the person who directs AI.<\/strong> Knowing <em>o que<\/em> to ask, how to evaluate the output, and when to overrule it is a skill in itself.<\/li>\n<li><strong>Stay adaptable.<\/strong> The specific tools will keep changing. The ability to keep learning is the durable advantage.<\/li>\n<li><strong>Move up the value chain.<\/strong> Let AI handle routine tasks and shift your focus to the strategic, creative, and human-centered work.<\/li>\n<\/ol>\n<p><!--ai-enriched--><\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_timeline_how_fast_is_this_actually_happening\"><\/span>The timeline: how fast is this actually happening?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The most useful question is not <em>whether<\/em> AI changes your work, but <em>how quickly<\/em> \u2014 and the honest answer is that the shift is gradual at the level of whole jobs and sudden at the level of specific tasks. The most-cited forecast, the World Economic Forum&#8217;s <strong>Future of Jobs Report 2025<\/strong>, projects roughly 170 million new roles created and about 92 million displaced by 2030 \u2014 a net gain, but one that lands on different people, in different places, with different skills than the jobs that disappear. That gap, not the headline number, is where the disruption actually lives.<\/p>\n<p>You don&#8217;t have to wait until 2030 to see the pattern, though. The clearest early signal is at the <strong>entry level<\/strong>. Across 2026, US entry-level job postings sit roughly a third below their early-2023 peak, and the decline is steepest in junior tech roles, where AI now does the routine code and analysis that used to be a graduate&#8217;s first assignment. Unemployment for recent college graduates has climbed above the overall rate. This is the single most important thing to understand about the timeline: AI erodes the bottom rung first, because the tasks juniors were hired to do are exactly the ones today&#8217;s models handle well.<\/p>\n<p>The displacement is also <strong>uneven by function, not just by industry<\/strong>:<\/p>\n<ul>\n<li><strong>Moving fast:<\/strong> clerical and administrative work, data entry, basic customer support, first-draft copywriting and routine reporting \u2014 task-heavy, rules-based roles.<\/li>\n<li><strong>Moving slowly:<\/strong> skilled trades, cybersecurity, healthcare delivery, and any work gated by physical presence, licensure, or accountability for the outcome.<\/li>\n<\/ul>\n<p>Two things keep the pace slower than the hype suggests. First, organizations adopt technology far slower than individuals do \u2014 procurement, compliance, training, and plain inertia stretch a one-year capability gain into a five-year rollout. Second, current AI usage still leans more toward <strong>augmenting<\/strong> people than replacing them outright; the dominant pattern is a human and a model working a task together, not the model working it alone.<\/p>\n<p>The practical read: treat the next two to three years as your adaptation window, not your panic window. The roles most exposed today rarely vanish overnight \u2014 their task mix hollows out, headcount stops growing, and new hiring quietly dries up. That is slow enough to act on, but only if you start before your specific corner of the market tightens.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>Perguntas frequentes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Will AI take my job?<\/h3>\n<p>Probably not entirely \u2014 but it will likely change it. AI automates specific tasks rather than whole jobs, so most roles will evolve as AI absorbs routine parts and human time shifts to work AI can&#8217;t do. Some jobs will be heavily reshaped, a few may shrink, but wholesale replacement is the exception, not the rule.<\/p>\n<h3>Which jobs are most at risk from AI?<\/h3>\n<p>Jobs heavy in routine, predictable, rule-based digital tasks are most exposed \u2014 such as basic data processing, repetitive content work, scripted customer service, and standardized administrative work. Even then, &#8220;exposed&#8221; usually means the role changes, not that it vanishes overnight.<\/p>\n<h3>Which jobs are safest from AI?<\/h3>\n<p>Work that needs physical dexterity in unpredictable environments (skilled trades, care work), deep human connection (teaching, therapy, nursing), complex judgment and accountability, genuine creativity, and the ability to handle ambiguity. These human strengths are hard for AI to replicate.<\/p>\n<h3>Will AI create new jobs?<\/h3>\n<p>Yes. Like past major technologies, AI is eliminating some roles while creating others \u2014 building and maintaining AI systems, overseeing AI output, AI safety and governance, and a broad new layer of work applying AI within every industry. History suggests the labor market transforms rather than permanently shrinks.<\/p>\n<h3>How can I protect my career from AI?<\/h3>\n<p>Learn to use AI tools in your field, strengthen skills AI is weak at (judgment, creativity, communication, adaptability), and become the person who directs AI well. The immediate competition isn&#8217;t AI itself \u2014 it&#8217;s colleagues who use AI effectively, so becoming an AI-augmented professional is the best protection.<\/p>\n<h3>Is AI already causing job losses, or is this still a future problem?<\/h3>\n<p>Both, but unevenly. There is no economy-wide jobs collapse in 2026 \u2014 overall employment is broadly intact. What is measurable right now is a sharp pullback in <em>hiring<\/em> at the entry level, especially in tech, and slower headcount growth in task-heavy office roles. The effect today shows up far more as jobs not created than as workers suddenly fired, which is why it is easy to underestimate until you are the one job-hunting.<\/p>\n<h3>Are new graduates and entry-level workers hit harder than experienced staff?<\/h3>\n<p>Yes, and this is the clearest pattern in the current data. Entry-level postings are down roughly a third from their early-2023 peak, with junior software and analyst roles falling fastest, while recent-graduate unemployment has risen above the national rate. The reason is structural: AI is best at the routine, well-defined tasks that traditionally made up a beginner&#8217;s job, so the work used to justify hiring a junior is the work most easily automated. Experienced workers who direct that work are, for now, more insulated.<\/p>\n<h3>How long do I have to adapt my skills?<\/h3>\n<p>Plan for a window of about two to three years rather than assuming either immediate displacement or indefinite safety. Whole jobs change slowly because employers adopt new tools far more slowly than individuals do, but the task mix inside a role can shift within a single year. The workers who stay valuable are not those who wait to see if their job survives, but those who start using AI tools in their actual workflow now \u2014 before their specific part of the market tightens.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>Conclus\u00e3o<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Will AI take your job? The honest answer: it will more likely <em>change<\/em> your job than take it. AI automates tasks, not whole roles, and most work is a bundle of tasks \u2014 only some of which AI does well. Routine, predictable digital work is most exposed; work built on dexterity, human connection, judgment, and creativity is most resilient.<\/p>\n<p>The most useful reframe is this: your real competition isn&#8217;t an AI, it&#8217;s a person who uses AI well. That&#8217;s empowering, because it points to something you can act on. Learn the tools, double down on your human strengths, and become the professional who directs AI rather than competes with it. Do that, and AI becomes an advantage in your career rather than a threat to it.<\/p>\n<p><!--related-block--><\/p>\n<div class=\"convly-related\">\n<h2><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>Artigos relacionados<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><a href=\"https:\/\/convly.ai\/pt\/privacy-in-age-of-ai\/\">Privacy in the Age of AI: Everything You Need to Know<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/pt\/deepfakes-threat-detection\/\">Deepfakes in 2026: The Growing Threat and How to Detect Them<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/pt\/alignment-problem-explained\/\">The AI Alignment Problem Explained Simply (2026)<\/a><\/li>\n<li><a href=\"https:\/\/convly.ai\/pt\/ai-bias-real-examples\/\">AI Bias Explained: Real-World Examples and How to Reduce It<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Will AI take your job? An honest, hype-free look at which work is actually exposed, why augmentation matters more than replacement, and how to stay valuable.<\/p>","protected":false},"author":0,"featured_media":108,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[6],"tags":[529,531,532,533,530],"class_list":["post-107","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ethics","tag-ai-and-jobs","tag-ai-automation","tag-ai-job-loss","tag-career-advice","tag-future-of-work"],"_links":{"self":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts\/107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/comments?post=107"}],"version-history":[{"count":3,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts\/107\/revisions"}],"predecessor-version":[{"id":1020,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts\/107\/revisions\/1020"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/media\/108"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/media?parent=107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/categories?post=107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/tags?post=107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}