{"id":42533,"date":"2025-08-24T14:42:21","date_gmt":"2025-08-24T14:42:21","guid":{"rendered":"https:\/\/www.pulse-z.eu\/who-will-be-replaced-by-ai-the-eu-might-already-know\/"},"modified":"2025-08-26T16:54:05","modified_gmt":"2025-08-26T16:54:05","slug":"wer-wird-durch-ki-ersetzt-die-eu-weis-es-vielleicht-schon","status":"publish","type":"post","link":"https:\/\/www.pulse-z.eu\/de\/wer-wird-durch-ki-ersetzt-die-eu-weis-es-vielleicht-schon\/","title":{"rendered":"Wer wird durch KI ersetzt? Die EU wei\u00df es vielleicht schon"},"content":{"rendered":"\n

A <\/span>new methodology<\/span><\/a> from the <\/span>European Commission\u2019s Joint Research Centre (JRC)<\/span><\/a> shows that teachers, programmers, analysts, and decision-makers are among the most exposed to AI\u2019s impact on the job market. And the findings may force us to rethink how we prepare for the digital future of work.<\/span><\/p>\n

AI isn’t coming for factory workers \u2014 it’s aiming higher<\/b><\/h3>\n

Unlike past waves of automation \u2014 like industrial robots replacing manual labor \u2014 today\u2019s AI revolution targets roles that rely on thinking, not lifting. Jobs requiring complex reasoning, interpretation, and cognitive skills are now the most exposed to disruption from AI tools.<\/span><\/p>\n

The JRC\u2019s newly developed AI Exposure Index reveals that secondary school teachers, electrical engineers, data analysts, and office administrators top the list of professions most likely to be affected by AI. In fact, teachers rank higher in exposure than 90% of all other professions studied \u2014 a stark reminder that even traditionally “safe” jobs are not immune to the reach of generative and analytical technologies.<\/span><\/p>\n

Meanwhile, jobs that are physically demanding and less reliant on data \u2014 such as cleaning, construction, waiting tables, or farming \u2014 appear to be more resilient. That\u2019s because AI still struggles with tasks requiring physical coordination, sensory awareness, and spatial navigation.<\/span><\/p>\n

How does the JRC\u2019s AI Exposure Index work?<\/b><\/h3>\n

The JRC\u2019s assessment uses a three-level model to evaluate how AI might affect various professions.<\/span><\/p>\n

    \n
  1. AI Benchmarks: Researchers started by analyzing datasets used to train AI, such as <\/span>Stanford\u2019s Question Answering Dataset<\/span><\/a>, <\/span>CIFAR-10<\/span><\/a>, and <\/span>GLUE<\/span><\/a>. These benchmarks test how well AI can understand images, language, and abstract logic \u2014 essentially the skills AI is getting better at.<\/span>
    \n<\/span><\/li>\n
  2. Real-World Tasks: Next, they matched these AI capabilities to real-world tasks performed in different jobs \u2014 from diagnosing medical conditions to making policy decisions.<\/span><\/li>\n
  3. Job Classification: Finally, they linked these tasks to the <\/span>International Standard Classification of Occupations (ISCO)<\/span><\/a>, which includes more than 100 job categories.<\/span><\/li>\n<\/ol>\n

    This system allows for a detailed look at which roles are highly vulnerable and which are relatively resistant to AI disruption. Unsurprisingly, policy experts and decision-makers emerged as high-risk. Their daily work \u2014 analyzing data, negotiating, and making strategic decisions \u2014 aligns closely with the skill set of today\u2019s most advanced AI systems.<\/span><\/p>\n

    AI research focus deepens the divide<\/b><\/h3>\n

    There\u2019s another important trend to consider: what kind of AI is being developed right now.<\/span><\/p>\n

    Between 2020 and 2024, most advances in AI research have focused on language processing, image recognition, and video analysis \u2014 areas that further enhance AI\u2019s ability to take on jobs involving information, communication, and analysis.<\/span><\/p>\n

    As a result, fields like education, data analysis, administration, and even creative industries could see dramatic changes. If this trend continues, professions based on interpreting and presenting information will need to evolve quickly to stay relevant.<\/span><\/p>\n

    That doesn\u2019t mean jobs will vanish overnight. In many cases, AI will reshape roles, not erase them. Tasks like drafting reports, analyzing data, or writing first drafts might be automated \u2014 but there will still be a need for human judgment, empathy, and ethical reasoning.<\/span><\/p>\n

    A new job market needs new public policies<\/b><\/h3>\n

    The JRC\u2019s researchers are clear: High exposure to AI doesn\u2019t automatically mean a job is at risk. But it does signal the need for retraining, role adjustments, and better human-AI collaboration in the workplace.<\/span><\/p>\n

    To meet this challenge, public policy must adapt. Education systems \u2014 both formal and lifelong learning \u2014 need to move beyond teaching technical tools. They must focus on uniquely human skills like:<\/span><\/p>\n

      \n
    • Emotional intelligence<\/span><\/li>\n
    • Interpersonal communication<\/span><\/li>\n
    • Cognitive flexibility<\/span><\/li>\n
    • Decision-making under uncertainty<\/span>
      \n<\/span><\/li>\n<\/ul>\n

      At the same time, employment policy needs to respond to changes such as job polarization, wage restructuring, and worker reskilling. Governments must not only anticipate trends but also create real-time tools to monitor and respond to change.<\/span><\/p>\n

      The AI Exposure Index could become one of those tools \u2014 continuously updated and data-driven, offering a more reliable foundation for policy than fear-based narratives.<\/span><\/p>\n

      Europe looks ahead<\/b><\/h3>\n

      As European Commission President Ursula von der Leyen noted in her 2023 State of the Union address, the EU must get ready for the “new challenges posed by artificial intelligence.” The JRC\u2019s initiative is a concrete step in that direction. It offers a data-informed lens to view the future of work \u2014 one that replaces panic with foresight, adaptability, and smart planning.<\/span><\/p>\n

      If you’re a student, teacher, policymaker, or future job-seeker in the EU, the message is clear: AI isn\u2019t just coming \u2014 it\u2019s already changing the rules. But with the right tools, skills, and mindset, we can shape that change to work in our favor.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

      A new methodology from the European Commission\u2019s Joint Research Centre (JRC) shows that teachers, programmers, analysts, and decision-makers are among the most exposed to AI\u2019s impact on the job market. And the findings may force […]<\/p>\n","protected":false},"author":158,"featured_media":42519,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[702],"tags":[1813,8333,8334,8199,8335,7880,1964,8336,1169,8203,8337,8338,4612,8339,8340],"post_formats":[743],"coauthors":[3870],"class_list":["post-42533","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologie-de","tag-ai-de","tag-ai-exposure-de","tag-artificial-intelligence-de","tag-automation-de","tag-data-analysis-de","tag-digital-transformation-de","tag-education-de","tag-employment-policy-de","tag-european-union-de","tag-future-of-work-de","tag-future-skills-de","tag-job-market-de","tag-jrc-de","tag-policymaking-de","tag-tech-innovation-de","post_formats-artikelserie-de"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/posts\/42533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/users\/158"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/comments?post=42533"}],"version-history":[{"count":2,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/posts\/42533\/revisions"}],"predecessor-version":[{"id":42535,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/posts\/42533\/revisions\/42535"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/media\/42519"}],"wp:attachment":[{"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/media?parent=42533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/categories?post=42533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/tags?post=42533"},{"taxonomy":"post_formats","embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/post_formats?post=42533"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.pulse-z.eu\/de\/wp-json\/wp\/v2\/coauthors?post=42533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}