Offizielle Vorlage

AI replacing jobs 2026

A
von @Admin
Karriere & Beruf

Which jobs are most at risk from AI and how do I future-proof my career?

Projekt-Plan

11 Aufgaben
1.

{{whyLabel}}: Understanding which of your daily tasks are routine-heavy is the first step in identifying where AI will likely intervene.

{{howLabel}}:

  • List every task you performed in the last two weeks.
  • Categorize them into 'Routine Cognitive' (data entry, basic reporting), 'Complex Judgment' (strategy, negotiation), and 'Human-Centric' (mentoring, empathy).
  • Highlight tasks in the 'Routine' category as high-risk (40-60% automation potential per 2026 benchmarks).

{{doneWhenLabel}}: A categorized list of tasks with a calculated 'Automation Risk Score' for your current role.

2.

{{whyLabel}}: To future-proof your career, you must understand the macro-economic shifts and the 'containment' problem of AI.

{{howLabel}}:

  • Focus on the chapters regarding the 'proliferation' of AI tools in the workplace.
  • Take notes on the specific industries Suleyman identifies as most volatile by 2026 (Finance, Legal, and Admin).
  • Identify three 'power shifts' that apply to your specific sector.

{{doneWhenLabel}}: A one-page summary of macro-trends affecting your industry.

3.

{{whyLabel}}: The World Economic Forum's 'Future of Jobs' report provides data-driven insights into which skills are declining and which are surging.

{{howLabel}}:

  • Access the latest WEF Future of Jobs Report (2025/2026 update).
  • Locate your specific job family (e.g., 'Business and Financial Operations').
  • Identify the top 5 'growing' skills for your sector (likely including AI literacy and analytical thinking).

{{doneWhenLabel}}: A list of 5 target skills to acquire based on global labor market data.

4.

{{whyLabel}}: Prompting is the foundational language of the 2026 economy; it moves you from a 'user' to an 'orchestrator'.

{{howLabel}}:

  • Learn 'Chain-of-Thought' (CoT) and 'Few-Shot' prompting techniques.
  • Practice creating 'System Prompts' that define specific personas for complex task execution.
  • Use free resources like DeepLearning.AI's 'ChatGPT Prompt Engineering for Developers'.

{{doneWhenLabel}}: A library of 10 reusable, high-complexity prompt templates for your core work tasks.

5.

{{whyLabel}}: Professional data privacy is critical; knowing how to run AI locally (offline) is a high-value technical skill.

{{howLabel}}:

  • Download 'Ollama' or 'LM Studio' (Open-source/Free).
  • Download a mid-sized model like Llama 3 or Mistral.
  • Test the model's performance on sensitive data tasks that cannot be uploaded to the cloud.

{{doneWhenLabel}}: A functional local AI environment running on your hardware.

6.

{{whyLabel}}: AI cannot replicate genuine empathy, complex conflict resolution, or high-stakes human negotiation.

{{howLabel}}:

  • Search for 'EQ for Leaders' or 'Negotiation Skills' on platforms like Coursera or edX.
  • Focus on 'Active Listening' and 'Non-Verbal Communication' modules.
  • Practice these skills in one 'difficult' conversation per week.

{{doneWhenLabel}}: Completion certificate or a log of 3 successfully navigated workplace conflicts.

7.

{{whyLabel}}: Moving from manual AI use to automated agents increases your productivity leverage by 10x.

{{howLabel}}:

  • Identify a workflow (e.g., 'Email to CRM entry' or 'Meeting transcript to Action Items').
  • Use a generic automation tool (like Zapier or Make) to connect your tools to an AI module.
  • Set up a 'trigger' and an 'action' that requires zero manual input.

{{doneWhenLabel}}: A live automation that saves at least 2 hours of manual work per week.

8.

{{whyLabel}}: Recruiters in 2026 prioritize 'AI-literate' candidates over traditional specialists.

{{howLabel}}:

  • Add skills like 'AI Orchestration', 'Prompt Engineering', and 'Human-AI Collaboration'.
  • Rewrite your 'About' section to highlight how you use AI to deliver faster, higher-quality results.
  • Share one post about a specific AI tool you've integrated into your workflow.

{{doneWhenLabel}}: Profile updated and 'Open to Work' settings refined for AI-forward roles.

9.

{{whyLabel}}: Networking with those already implementing AI provides 'insider' knowledge on which roles are actually being cut vs. created.

{{howLabel}}:

  • Identify an 'AI Product Manager' or 'Head of AI' in your industry via LinkedIn.
  • Send a personalized invite: 'I'm researching AI's impact on [Industry] and would value 15 mins of your perspective.'
  • Prepare 3 specific questions about their current automation priorities.

{{doneWhenLabel}}: Calendar confirmation for a meeting on Tuesday at 10:00 AM.

10.

{{whyLabel}}: The AI landscape changes every 3-6 months; static skills become obsolete quickly.

{{howLabel}}:

  • Block 2 hours on the first Friday of every month.
  • Review 'The Batch' (DeepLearning.AI) or similar industry newsletters for new model releases.
  • Test one new tool that could replace or enhance another 5% of your current workload.

{{doneWhenLabel}}: A recurring calendar event with a 'Tools to Test' checklist in the description.

11.

{{whyLabel}}: Peer-to-peer learning is the fastest way to discover 'hacks' and unlisted job opportunities.

{{howLabel}}:

  • Search for industry-specific AI groups (e.g., 'AI in Marketing' or 'AI for Developers').
  • Introduce yourself and share one automation or prompt you've created.
  • Set a goal to answer one question from a peer every week to build authority.

{{doneWhenLabel}}: Active membership in at least one professional AI community.

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