{"id":2554,"date":"2025-12-18T10:45:37","date_gmt":"2025-12-18T09:45:37","guid":{"rendered":"https:\/\/survivingai.com\/?p=2554"},"modified":"2025-12-18T10:46:30","modified_gmt":"2025-12-18T09:46:30","slug":"reskilling-isnt-the-whole-story-ai-and-todays","status":"publish","type":"post","link":"https:\/\/survivingai.com\/es\/reskilling-isnt-the-whole-story-ai-and-todays\/","title":{"rendered":"Reskilling Isn\u2019t the Whole Story"},"content":{"rendered":"<p class=\"wp-block-paragraph\">For the past two years, the standard response to anxiety about AI and automation has been simply to tell workers <strong>reskill<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Learn new tools. Take a course. Pivot fast enough and you\u2019ll be fine.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It\u2019s an appealing idea, but it\u2019s not the whole story.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Reskilling<\/strong>, which involves learning an entirely new set of skills in order to move into a different role or occupation, is not, on its own, a guaranteed path to a new job. It is often an individual coping mechanism, and one that increasingly asks workers to absorb the risk while offering few assurances about what comes next.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The promise sounds simple. The reality isn\u2019t.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Across governments, companies, and platforms, <strong>reskilling<\/strong> has become the default answer to job disruption. Online certificates abound. AI bootcamps promise employability. \u201cAI literacy\u201d is framed as the new baseline skill.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Yet multiple workforce surveys tell a more ambiguous story. In its <em><a href=\"https:\/\/www.pwc.com\/gx\/en\/services\/people-organisation\/workforce-of-the-future\/workforce-of-the-future-the-competing-forces-shaping-2030-pwc.pdf\">Global Workforce of the Future<\/a><\/em> research, PwC finds that while many workers are actively <strong>upskilling<\/strong>\u2014adding new capabilities on top of existing roles\u2014access to training and its benefits remain uneven. Those who received structured support often report gains in job security or wages, showing that effort alone does not guarantee opportunity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What\u2019s missing from the conversation is a harder question: <strong>reskill into what?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Labor markets don\u2019t reward learning in the abstract. They reward demand.<\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-06322dce\"><h2 class=\"uagb-heading-text\"><strong>Job creation vs. job availability<\/strong><\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Much of the optimism around AI relies on headline numbers. The most frequently cited projection\u2014popularized by the <a href=\"https:\/\/www.weforum.org\/publications\/the-future-of-jobs-report-2025\/\">World Economic Forum\u2019s <em>Future of Jobs Report 2025<\/em><\/a>\u2014suggests that AI and related technologies could contribute to roughly 170 million new roles globally by the end of the decade, even as around 90 million existing jobs are displaced.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The report is careful, however, to stress that these are net and aggregate figures. They do not indicate where those jobs will appear, how accessible they will be, or whether displaced workers can realistically move into them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This distinction matters. Job-posting data analyzed by organizations like the <a href=\"https:\/\/www.oecd.org\/en\/publications\/demand-for-ai-skills-in-jobs_3ed32d94-en.html\">OECD <\/a>and <a href=\"https:\/\/oecd.ai\/en\/wonk\/ai-workforce-what-linkedin-data-reveals-about-ai-talent-trends-in-oecd-ai-live-data?utm_source=chatgpt.com\">LinkedIn Economic Graph<\/a> consistently shows that roles requiring AI-related skills are growing faster than average, but remain concentrated in specific sectors, regions, and seniority levels.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For many workers, this does not feel like expansion but compression: fewer mid-level roles, flatter career ladders, and more responsibility pushed onto fewer people.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This tension between optimistic projections and lived experience echoes a broader pattern explored in our <a href=\"https:\/\/survivingai.com\/es\/articles\/\" data-type=\"page\" data-id=\"2071\"><strong>Hype vs. Reality<\/strong> <\/a>analysis of AI and work.<\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-f7499768\"><h2 class=\"uagb-heading-text\"><strong>Where the real hiring is happening<\/strong><\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">For workers trying to stay employed\u2014not <strong>reskill<\/strong> into entirely new professions\u2014the most viable paths often sit around AI systems rather than deep inside them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These include AI content reviewers who assess outputs for accuracy and reputational risk; model evaluators and red-team analysts who stress-test systems for bias and failure modes; data annotators and AI training specialists who help shape how models learn; AI policy analysts and compliance officers translating regulation into operational rules; product operations managers integrating AI tools into real workflows; and human-in-the-loop supervisors responsible for monitoring and correcting automated decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These roles are increasingly visible in hiring data. Both <a href=\"https:\/\/www.mckinsey.com\/capabilities\/tech-and-ai\/our-insights\/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work\">McKinsey\u2019s research <\/a>on AI adoption and the OECD\u2019s work on AI-exposed occupations point to growing demand for oversight, governance, and operational roles\u2014often outpacing demand for pure engineering positions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What these jobs tend to reward is not advanced coding, but judgment, communication, domain expertise, and accountability.<br><\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-b18e2886\"><h2 class=\"uagb-heading-text\"><strong>The reskilling gap<\/strong><\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">This is where the <strong>reskilling<\/strong> narrative starts to fracture.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Workers are encouraged to acquire entirely new skills without being shown how those skills map to durable roles. Certifications are earned, but job descriptions remain vague. Training options are abundant, but pathways to employment are not.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Mid-career workers feel this acutely. Research cited by the OECD and the International Labour Organization shows that older workers face steeper barriers when transitioning into new technical roles\u2014even when they attempt to reskill. Time, savings, and tolerance for risk are finite. Advice that ignores this reality risks sounding less like empowerment and more like abdication.<br><\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-a407b606\"><h3 class=\"uagb-heading-text\">Share your experience<\/h3><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">If AI or automation has affected your work, you\u2019re welcome to share how it\u2019s played out for you.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can do so in the comments below.<br>If you\u2019d rather not comment publicly, you can also reach out via the <strong>Contact page<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Thanks for taking the time.<\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-8846f20a\"><h2 class=\"uagb-heading-text\"><strong>The part no one likes to say out loud<\/strong><\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">There is an uncomfortable reality embedded in much of today\u2019s advice: many of the roles held up as \u201cAI opportunities\u201d involve maintaining, supervising, or correcting systems that have already displaced human work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For someone who has lost a job to automation, being told to <strong>reskill<\/strong> into reviewing AI outputs or managing AI workflows can feel less like a solution and more like capitulation\u2014working for the very systems that made you expendable. That is not an emotional overreaction, but rather a rational response to a loss of agency.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There is also a durability problem. Many of these roles exist precisely because AI systems are still error-prone, poorly integrated, or legally risky. As models improve, some of this work may shrink or disappear. Asking workers to bet their future on positions defined by today\u2019s system limitations is a risky proposition, especially for those without long financial runways.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Both concerns deserve to be taken seriously.<\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-089b6e9b\"><h2 class=\"uagb-heading-text\"><strong>Difference between serving AI and using it<\/strong><\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Still, rejecting \u201cAI caretaker\u201d roles does not mean rejecting adaptation altogether. There is a meaningful distinction between serving AI systems and using AI as a tool\u2014and that distinction matters for long-term dignity and stability.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In many professions, the most viable path forward is not <strong>reskilling<\/strong>\u2014starting over in a new occupation\u2014but <strong>upskilling<\/strong>: learning how to instrument AI within existing roles. That means using AI to compress routine work while retaining responsibility for judgment, accountability, and outcomes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For experienced writers, editors, analysts, and researchers, this can mean using AI to accelerate early drafts or identify surface patterns, while remaining responsible for structure, accuracy, and narrative coherence. For operational and administrative professionals, it can mean automating coordination and documentation while focusing on handling exceptional cases, stakeholder judgment, and decision-making. In regulated or high-risk environments, it often means treating AI as an assistant rather than an autonomous actor.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is not reskilling in the sense of starting over. It is <strong>upskilling<\/strong>, which means extending existing expertise so that it remains relevant and valuable in AI-mediated workflows.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A narrower, more honest ambition<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">None of this guarantees stability. No article should pretend otherwise.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But the goal does not have to be becoming \u201cfuture-proof,\u201d a phrase that increasingly rings hollow. A more realistic aim is to buy time\u2014time to preserve agency, to wait for clearer pathways in the labor market to emerge, and to protect one\u2019s professional identity until the turbulence of AI-driven change stabilizes\u2014and to avoid unnecessary displacement, staying attached to one\u2019s professional identity while the ground continues to shift.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That may mean learning selectively. It may mean resisting some roles while accepting others as transitional. It may mean using AI tactically rather than embracing it ideologically.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For workers navigating this moment, skepticism is not a failure to adapt. It is a survival skill.<br><\/p>","protected":false},"excerpt":{"rendered":"<p>Reskilling is often presented as the answer to AI-driven job disruption. This article examines why it falls short\u2014and what workers are actually facing.<\/p>","protected":false},"author":133117431,"featured_media":2555,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_seo_schema_type":"","_kadence_starter_templates_imported_post":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[1381,1],"tags":[1389,1392,1373,1394,1393,1390,1391],"class_list":["post-2554","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hype-vs-reality","category-uncategorized","tag-ai-and-the-workforce","tag-automation-and-jobs","tag-future-of-work","tag-hiring-trends","tag-mid-career-workers","tag-reskilling","tag-upskilling"],"uagb_featured_image_src":{"full":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=2816%2C1536&ssl=1",2816,1536,false],"thumbnail":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=150%2C150&ssl=1",150,150,true],"medium":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=300%2C164&ssl=1",300,164,true],"medium_large":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=768%2C419&ssl=1",768,419,true],"large":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=1024%2C559&ssl=1",1024,559,true],"1536x1536":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=1536%2C838&ssl=1",1536,838,true],"2048x2048":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=2048%2C1117&ssl=1",2048,1117,true],"trp-custom-language-flag":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=18%2C10&ssl=1",18,10,true],"newspack-article-block-landscape-large":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=1200%2C900&ssl=1",1200,900,true],"newspack-article-block-portrait-large":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=900%2C1200&ssl=1",900,1200,true],"newspack-article-block-square-large":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=1200%2C1200&ssl=1",1200,1200,true],"newspack-article-block-landscape-medium":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=800%2C600&ssl=1",800,600,true],"newspack-article-block-portrait-medium":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=600%2C800&ssl=1",600,800,true],"newspack-article-block-square-medium":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=800%2C800&ssl=1",800,800,true],"newspack-article-block-landscape-intermediate":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=600%2C450&ssl=1",600,450,true],"newspack-article-block-portrait-intermediate":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=450%2C600&ssl=1",450,600,true],"newspack-article-block-square-intermediate":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=600%2C600&ssl=1",600,600,true],"newspack-article-block-landscape-small":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=400%2C300&ssl=1",400,300,true],"newspack-article-block-portrait-small":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=300%2C400&ssl=1",300,400,true],"newspack-article-block-square-small":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=400%2C400&ssl=1",400,400,true],"newspack-article-block-landscape-tiny":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=200%2C150&ssl=1",200,150,true],"newspack-article-block-portrait-tiny":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=150%2C200&ssl=1",150,200,true],"newspack-article-block-square-tiny":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?resize=200%2C200&ssl=1",200,200,true],"newspack-article-block-uncropped":["https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/Reskilldef.webp?fit=1200%2C655&ssl=1",1200,655,true]},"uagb_author_info":{"display_name":"milbara","author_link":"https:\/\/survivingai.com\/es\/author\/milbara\/"},"uagb_comment_info":0,"uagb_excerpt":"Reskilling is often presented as the answer to AI-driven job disruption. This article examines why it falls short\u2014and what workers are actually facing.","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pgL1Q2-Fc","jetpack-related-posts":[{"id":2507,"url":"https:\/\/survivingai.com\/es\/ai-and-the-workforce-a-brutal-autumn-and-an-uncertain-future\/","url_meta":{"origin":2554,"position":0},"title":"IA y la fuerza laboral: un oto\u00f1o brutal y un futuro incierto","author":"milbara","date":"diciembre 9, 2025","format":false,"excerpt":"It has been a tumultuous end to 2025 for workers trying to make sense of automation\u2019s promises. Job-cut announcements, reskilling debates, and legislative proposals have come at breakneck speed. According to data from the outplacement firm Challenger, Gray & Christmas, U.S. employers announced 1.17 million job cuts through November 2025,\u2026","rel":"","context":"En \u00abFeatured\u00bb","block_context":{"text":"Featured","link":"https:\/\/survivingai.com\/es\/category\/featured\/"},"img":{"alt_text":"aiimpactuncertainfuture edited","src":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/AIimpactuncertainfuture-Edited.webp?fit=1200%2C655&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/AIimpactuncertainfuture-Edited.webp?fit=1200%2C655&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/AIimpactuncertainfuture-Edited.webp?fit=1200%2C655&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/AIimpactuncertainfuture-Edited.webp?fit=1200%2C655&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/AIimpactuncertainfuture-Edited.webp?fit=1200%2C655&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":2755,"url":"https:\/\/survivingai.com\/es\/navigating-the-narrowing-path-back-to-work\/","url_meta":{"origin":2554,"position":1},"title":"Navigating the Narrowing Path Back to Work","author":"milbara","date":"febrero 5, 2026","format":false,"excerpt":"Workers attempting to re-enter the workforce after layoffs or career breaks face a shrinking landscape of opportunity. As AI automates traditional bridge roles\u2014from customer service to junior analysis positions\u2014displaced workers are adopting new tools and strategies, but individual adaptation can't solve a structural problem: the pathways back simply aren't there\u2026","rel":"","context":"En \u00abHype vs. Reality\u00bb","block_context":{"text":"Hype vs. Reality","link":"https:\/\/survivingai.com\/es\/category\/hype-vs-reality\/"},"img":{"alt_text":"S&R","src":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2026\/01\/SR.webp?fit=1200%2C662&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2026\/01\/SR.webp?fit=1200%2C662&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2026\/01\/SR.webp?fit=1200%2C662&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2026\/01\/SR.webp?fit=1200%2C662&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2026\/01\/SR.webp?fit=1200%2C662&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":2335,"url":"https:\/\/survivingai.com\/es\/ai-impact-on-workers\/","url_meta":{"origin":2554,"position":2},"title":"Between Hype and Reality: How AI Is Impacting Real Workers","author":"milbara","date":"noviembre 2, 2025","format":false,"excerpt":"The Hype Machine: AI as a Modern Miracle If you listen to Silicon Valley evangelists, AI is nothing short of a miracle. It\u2019s the electricity of the 21st century\u2014the rocket fuel that will lift us out of drudgery, and the cure for inefficiency in every corner of the economy. CEOs\u2026","rel":"","context":"En \u00abFeatured\u00bb","block_context":{"text":"Featured","link":"https:\/\/survivingai.com\/es\/category\/featured\/"},"img":{"alt_text":"hvrdefcon","src":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/HvRdefcon.webp?fit=1024%2C1024&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/HvRdefcon.webp?fit=1024%2C1024&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/HvRdefcon.webp?fit=1024%2C1024&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/12\/HvRdefcon.webp?fit=1024%2C1024&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":2339,"url":"https:\/\/survivingai.com\/es\/jobs-at-risk-from-ai\/","url_meta":{"origin":2554,"position":3},"title":"Jobs at Risk from AI: Who&#8217;s most vulnerable?","author":"milbara","date":"noviembre 2, 2025","format":false,"excerpt":"Across industries, workers are asking which jobs are at risk from AI\u2014a question reshaping employment in 2025. Routine tasks are easier to automate, some employers embrace technology faster than others, and workers\u2019 education and bargaining power shape their vulnerability. People whose jobs revolve around predictable steps\u2014like data entry, scheduling or\u2026","rel":"","context":"En \u00abJob Risk\u00bb","block_context":{"text":"Job Risk","link":"https:\/\/survivingai.com\/es\/category\/job-risk\/"},"img":{"alt_text":"jobsatriskdefcon1","src":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/11\/JobsAtRiskdefcon1.webp?fit=1200%2C896&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/11\/JobsAtRiskdefcon1.webp?fit=1200%2C896&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/11\/JobsAtRiskdefcon1.webp?fit=1200%2C896&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/11\/JobsAtRiskdefcon1.webp?fit=1200%2C896&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/survivingai.com\/wp-content\/uploads\/2025\/11\/JobsAtRiskdefcon1.webp?fit=1200%2C896&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":2686,"url":"https:\/\/survivingai.com\/es\/how-collective-bargaining-is-shaping-ai-adoption-in-the-workplace\/","url_meta":{"origin":2554,"position":4},"title":"How collective bargaining is shaping AI adoption in the workplace","author":"milbara","date":"enero 8, 2026","format":false,"excerpt":"Artificial intelligence is increasingly introduced into workplaces as a productivity or efficiency tool, often through pilots or internal experiments led by management. In many cases, workers learn about these systems only after they are already in use. 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