{"id":14277,"date":"2026-05-08T16:53:39","date_gmt":"2026-05-08T14:53:39","guid":{"rendered":"https:\/\/manualjobsearch.com\/?p=14277"},"modified":"2026-05-08T17:02:46","modified_gmt":"2026-05-08T15:02:46","slug":"wenn-sie-am-computer-arbeiten","status":"publish","type":"post","link":"https:\/\/manualjobsearch.com\/en\/wenn-sie-am-computer-arbeiten\/","title":{"rendered":"When you work on the computer: In a year, your job will look different"},"content":{"rendered":"
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\n\nSome companies today are exclusively looking for \"AI-native\" candidates. Others block AI tools for security reasons. What does this mean for you personally \u2013 and what should you specifically do? Practical answers without the hype.\n<\/i>\n\n

A rule of thumb that sums it all up<\/h2>\n\nIf your work involves sitting at a computer, staring at a screen and typing on a keyboard \u2013 your job will look different in a year's time.\n\nThis is not a threat. Nor is it a prediction from a crystal ball. This is the sober observation of professionals who have been using AI tools in practice for years.\n\nWhat's important here is that it's not about AI replacing you. Two years ago, programmers were predicted to be the first to be replaced. They are all still here. But their tasks, their productivity benchmarks, and the form of their work have changed.\n\nThis is precisely what is happening right now in almost every office job.\n\n

The Model of the Future: You plus Your Agents<\/h2>\n\nThere is a term that best describes today's most productive people: One Man Team \u2014 a team consisting of you and your AI agents.\n\nWhen someone like this starts at a company, they don't come alone. They bring their team with them. And this team accelerates them by a factor of 10.\n\nImportant: An AI agent is not like Photoshop or Excel. It's more like a full-fledged employee. And that means: you have to train them. Just like a human colleague.\n\n
At first, we're both helpless. I don't know how to work with him. He doesn't know how to work with me. We agree on something, he forgets it, we learn how to make sure he doesn't forget anything\u2026 Today, I just tell him: 'A new podcast has been released, give me a summary.' And he understands by himself which podcast it is and where the summary needs to go. Several months of onboarding were necessary \u2014 but now he takes tons of routine off my hands.<\/div>\n\nThe typical beginner mistake: no onboarding. That is, not giving the AI tool enough context. \"Out of the box\" AI works mediocrely. The more personal information it receives, the more effective it becomes.\n\n

A tangible guide: How do I understand how my job is changing?<\/h2>\n\nHere is a simple algorithm for anyone who wants to find out how their profession will change under the influence of AI. This method works for any brainstorming with AI \u2014 you just change the context.\n\n
    \n
  • Step 1: Pay for an LLM<\/strong>
    \nFree versions are massively restrictive. For around 20 euros a month, you get a fundamentally different tool.<\/li>\n\n
  • Step 2: Give the AI context about yourself<\/strong>
    \nThe more, the better. Who you are, what you do, how old you are, what market you work in. Give them your CV. Give them your LinkedIn profile. Store all of this in a project so you don't have to repeat it for every request.<\/li>\n\n
  • Step 3: Honestly ask the question that is really on your mind<\/strong>
    \nFor example: \"I'm worried about how my profession will change over the next two years. Let's think together about exactly what changes are coming and what I can do to be prepared and become a leader in these changes.\"<\/li>\n<\/ul>\n\n
    \ud83d\udc49 Important: Activate the strongest available model with Extended Thinking mode. Add at the end of the request: \u201cAsk me as many follow-up questions as necessary and wait until I have answered them. Then we will continue to think together.\u201d<\/div>\n\nAfter a few iterations \u2014 where you answer the AI's questions \u2014 you'll get truly useful ideas.\n\n

    What if the company blocks AI?<\/h2>\n\nThis is where it gets tricky. Some companies are already exclusively looking for candidates with AI skills. Others \u2014 particularly in conservative sectors like finance or healthcare \u2014 are blocking AI tools completely.\n\nExamples from practice: \"Copilot is available here, but you have to apply for permission. Claude isn't accessible at all \u2014 IT security hasn't approved it.\"\n\nThis is known as the \"Faraday cage\" policy. But here's the important observation:\n\n
    The most successful examples of AI adoption in business have always come from the bottom up. Employees started using AI themselves, and then permission came from above. Top-down implementation \u2013 \u201cWe\u2019ve paid for your subscription, now use it\u201d \u2013 fails in most cases.<\/div>\n\nPractical advice: Automate your workflows on your own initiative. Even conservative companies understand the value of employees who work faster and can optimise their processes.\n\nIf AI at work is absolutely taboo: Do pet projects in your free time. That's exactly what we'll get to now.\n\n

    So hebst du KI-Kenntnisse in deinem Lebenslauf hervor:<\/h2>\n\nThat depends on where you are applying:\n\n
      \n
    • AI-first companies:<\/strong> Clearly highlight AI skills \u2014 even if you haven't used them professionally. Mention them at the top of your profile. Create a separate \"AI Projects\" section after the current work experience section.<\/li>\n\n
    • Conservative industries<\/strong> A brief mention in the skills section will suffice.<\/li>\n<\/ul>\n\nMany people think: \"That was just a small private project, I helped my wife or automated something for friends. That doesn't count.\"\n\nThat's not true. We are currently at a point where there are no formal AI qualifications. Companies are looking for enthusiasts \u2014 people who have delved into AI themselves and do so regularly.\n\nPet projects are the clearest sign of an AI enthusiast. Describe them exactly like professional achievements: Task \u2014 Tools \u2014 Result. And mention them on LinkedIn too \u2014 help recruiters find you.\n\n

      Examples of worthwhile pet projects<\/h2>\n\n
        \n
      • An automated job search system that researches companies, assesses their relevance, and semi-automatically customises CVs and cover letters<\/li>\n\n
      • A shared context system for a team, so that each employee works with their AI assistant \u2014 and all assistants know the same things about the company<\/li>\n\n
      • A system that analyses all of an author's posts on one platform and helps to create content with the same tonality on other platforms.<\/li>\n<\/ul>\n\n

        Es gibt keine harte Grenze daf\u00fcr, was delegiert werden kann, aber hier sind einige F\u00e4higkeiten, die man NICHT oder nur sehr schwer an KI delegieren kann:\n\n* **Echte menschliche Empathie und emotionale Intelligenz:** KI kann Muster im menschlichen Verhalten erkennen und simulieren, aber sie kann keine echten Emotionen empfinden oder tiefes Mitgef\u00fchl f\u00fcr andere haben. Dinge wie Trost spenden, wirklich auf jemanden eingehen oder eine tiefe pers\u00f6nliche Verbindung aufbauen, sind f\u00fcr KI schwer zu replizieren.\n* **Kreativit\u00e4t und originelle Ideenfindung:** W\u00e4hrend KI Kunst und Musik erzeugen und sogar neue Designs entwerfen kann, basiert dies oft auf der Analyse vorhandener Daten. Echte originelle, bahnbrechende Ideen oder k\u00fcnstlerische Ausdr\u00fccke, die aus pers\u00f6nlicher Erfahrung und tiefer Einsicht entstehen, sind bisher menschlich geblieben.\n* **Komplexes ethisches Urteilsverm\u00f6gen und Moral:** KI kann Regeln folgen, aber komplexe ethische Dilemmata, die Grauzonen, widerspr\u00fcchliche Werte und tiefgreifende moralische \u00dcberlegungen beinhalten, erfordern menschliches Urteilsverm\u00f6gen und ein Bewusstsein f\u00fcr gesellschaftliche Normen und Werte.\n* **Kritisches Denken und gesunder Menschenverstand (in seiner tiefsten Form):** KI kann riesige Datenmengen analysieren und Schlussfolgerungen ziehen. Aber der menschliche gesunde Menschenverstand, der auf einer F\u00fclle von unausgesprochenem Wissen und Lebenserfahrung basiert, ist schwer zu kodieren. Dies gilt insbesondere f\u00fcr Situationen, die v\u00f6llig neu oder unvorhergesehen sind.\n* **Strategische Entscheidungsfindung mit hoher Unsicherheit und menschlichen Faktoren:** KI kann bei strategischen Entscheidungen unterst\u00fctzen, indem sie Daten analysiert und Szenarien durchspielt. Aber die endg\u00fcltige Entscheidung, die oft Risiken, menschliche Bed\u00fcrfnisse, politische Realit\u00e4ten und unvorhersehbare Ereignisse ber\u00fccksichtigt, erfordert menschliche Weisheit und Weitsicht.\n* **F\u00fchren und Motivieren von Menschen:** Echte F\u00fchrung erfordert Inspiration, Vision, Empathie und die F\u00e4higkeit, Vertrauen aufzubauen. KI kann dabei unterst\u00fctzen, indem sie Daten liefert oder Prozesse automatisiert, aber die zwischenmenschliche Dynamik der F\u00fchrung ist schwer zu delegieren.\n* **Pers\u00f6nliche Verantwortung und Rechenschaftspflicht:** Letztendlich muss jemand die Verantwortung f\u00fcr die Entscheidungen und Handlungen tragen. KI kann keine echte Verantwortung \u00fcbernehmen.\n\nEs ist wichtig zu beachten, dass sich die KI rasant entwickelt und die Grenzen dessen, was sie leisten kann, st\u00e4ndig verschieben. Viele dieser F\u00e4higkeiten werden wahrscheinlich in Zukunft durch KI unterst\u00fctzt oder sogar teilweise automatisiert werden, aber die Kernkompetenz und letztendliche Verantwortung bleiben oft beim Menschen.<\/h2>\n\nThese skills are becoming the \"hard currency\" \u2013 and should be highlighted on every CV.\n\nFirst: Delivering results with people.<\/strong> A few years ago, managers were prepared to hire a difficult candidate because of their technical strengths. Today, soft skills and negotiation ability are becoming more important.\n\nSecondly: Experience and judgement.<\/strong> You can have as many AI agents as you like do as much work as you like \u2014 but the decision whether to accept the outcome or not rests with the human. Because the human bears the responsibility.\n\n
        Judgment is a direct function of your experience. If you really know something, if you can tell the difference between a good solution and a bad one \u2013 that's a super skill. You have to train that.<\/div>\n\nThirdly: Leadership and task assignment.<\/strong> This is new \u2013 and it affects everyone.\n\nIn 2026, we will all be switchers. Besides our actual profession, we will all become managers of our AI agents.\n\nAI writes better code today than most programmers \u2013 but only if the task is formulated correctly: with a clear description of the desired outcome and an understanding of how to check if the outcome has been achieved.\n\nIn other words: AI raises the bar. If you are mid-level, senior-level will be expected of you. You will have to guide your AI agent as you would guide your own junior: clear tasks, clear success criteria.\n\n

        What should junior employees do?<\/h2>\n\nRegarding juniors. Traditionally, career starters relied on repetition: they performed simple, monotonous tasks and learned how more complex work functions. This path no longer exists.\n\nAI today does what used to be junior tasks.\n\n
        The practical advice: Juniors should learn to master AI and aim directly for mid-level.<\/div>\n\nIf you've set up your own AI junior to handle monotonous tasks for you, you're already on another level.\n\n

        How to learn not to fear AI<\/h2>\n\nSpend time with people who are already using AI<\/strong>\n\nIt's very easy to fall into a circle of dull sceptics who constantly say, \"This bubble will burst, then we'll see\u2026 They want to replace us? Just look at how many files there are here \u2013 who's going to replace us?\"\n\nSuch conversations give you a sense of superiority (because only you know it's all just hype) and \u2013 more dangerously \u2013 a false sense of security. This cynicism is destructive. In a few years, you risk being hopelessly left behind.\n\nAllow yourself to experiment \u2014 and to fail<\/strong>\n\nDon't take your AI projects too seriously at first: \"I'm going to build an app now and sell it for billions.\" This seriousness will only slow you down. Start with something simple \u2013 something that personally interests you.\n\n
        Remember how you used to play as a child? In childhood, we do many things simply 'for fun.' For example, why skateboard? What is that skill good for later in life? For nothing. It's just fun. This attitude helps me enormously today. I don't do pet projects to earn money or speak at a conference. I do them because I want to. That's how you learn incredibly quickly.<\/div>\n\nThe biggest obstacle: people limit themselves. When they hear the words \"Open Claude Code...\", someone immediately switches off and says, \"Code? But I'm not a programmer.\"\n\nNo one expects you to become the best developer in the world. To get started, the knowledge you already have is enough. You'll learn the rest through trial and error.\n\n

        The downside: AI brain-fry and FOMO<\/h2>\n\nBut not everything about AI is optimistic. There's a paradox: AI agents increase productivity \u2014 but don't make work easier.\n\nPreviously, a workday was structured like this: demanding tasks alternated with routine \u2014 and the brain recovered during the routine. Today, you can delegate the routine to AI \u2014 and immediately dedicate yourself to the next project. There's no room for recovery.\n\nThe result is called AI Brain Fry in English-speaking regions \u2014 chronic cognitive overload.\n\n
        When you work with AI, you get dopamine from quick results. What used to take a week is now done in a few hours! The reward system in the brain says: \u2018You\u2019re great, let\u2019s keep going. We can achieve so much more!\u2019 And then you continue working in the time that has been freed up.<\/div>\n\nOn top of that comes FOMO \u2013 the fear of missing out. \"So much is happening at once \u2013 how am I supposed to keep up?\" Everyone who is actively integrating AI into their work knows this feeling.\n\n

        How to survive the AI pace?<\/h2>\n\nFocus on a niche<\/strong>\n\nOne of the main causes of FOMO: the feeling that you have to try everything at once. Choose an area that genuinely interests you and focus on it. Apply what you learn immediately.\n\n
        When a new video generation tool comes out, I say: 'Sounds cool, but that's not for me.' On the other hand, when a tool comes out that's thematically relevant to me, I'm one of the first to try it. I invest my attention in a narrow field.<\/div>\n\nDon't keep changing tools.<\/strong>\n\nIf you start with a tool, work with it for at least a month. Constantly switching between environments broadens the horizon but leaves only superficial understanding. A month is enough to push the tool's limits, recognise best practices and develop your own working patterns.\n\nRest<\/strong>\n\nReal days off are not laziness \u2013 they are necessary. Additionally, a system with clear deadlines helps: after a certain work period, you get together for a review.\n\n
        I agree with myself that I will work in active mode until a certain date \u2013 and then I will sit down at the negotiating table with myself and clarify: Where have we landed? Was it worth it? What should I focus on next? This is how I develop a new contract with myself.<\/div>\n\n

        What tools \u2013 and for what?<\/h2>\n\nA tried-and-tested division in practice:\n\n
          \n
        • Images and logos<\/strong> A fast image generation tool. Fast generation, many variants at once.<\/li>\n\n
        • Complex multi-factor questions<\/strong> A model with a large context window \u2013 for legal and medical questions, where many variables need to be considered simultaneously.<\/li>\n\n
        • General Main Partner<\/strong> A conversational model for everything else. Tasks are posed as if to a business partner.<\/li>\n\n
        • Context store<\/strong> A note-taking tool like Obsidian, where you and your AI agents can collaborate.<\/li>\n<\/ul>\n\n
          \ud83d\udc49 Practical tip: Test new tasks on multiple models simultaneously. Give the same task to two different models and compare the results.<\/div>\n\n

          Conclusion: There is no panic \u2014 but there is urgency<\/h2>\n\nThe core message can be reduced to three sentences:\n\nAI will not replace you. But someone who uses AI better than you, will.
          \nThe skills that truly matter are no longer purely technical \u2013 it's judgment, task delegation, communication. Precisely what AI cannot do.
          \nAnd the simplest first step? Pay for an LLM. Give it context about yourself. Ask an honest question. The rest will take care of itself.\n\n
          No one expects you to be an AI genius tomorrow. But anyone who is in the same job in a year's time as they are today \u2013 and doing it in the same way \u2013 will likely run into trouble.<\/div>\n\nEditorial note:<\/strong>
          \nThis article is based on an expert discussion about the practical integration of AI into daily professional life. The recommendations and observations presented reflect the experiences of experienced AI users.\n<\/article>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

          Some companies are already exclusively looking for \"AI-native\" candidates. Others are blocking AI tools for security reasons. What does this mean for you personally \u2014 and what should you do specifically? Practical answers without the hype. A golden rule that sums it all up If your job means you sit at a computer, look at a screen and [use] a keyboard [...]<\/p>","protected":false},"author":256,"featured_media":14278,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[34],"tags":[],"class_list":["post-14277","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-karriere-deutschland"],"acf":[],"_links":{"self":[{"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/posts\/14277","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/users\/256"}],"replies":[{"embeddable":true,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/comments?post=14277"}],"version-history":[{"count":6,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/posts\/14277\/revisions"}],"predecessor-version":[{"id":14323,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/posts\/14277\/revisions\/14323"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/media\/14278"}],"wp:attachment":[{"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/media?parent=14277"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/categories?post=14277"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/manualjobsearch.com\/en\/wp-json\/wp\/v2\/tags?post=14277"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}