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If you're a data analyst, data engineer, or BI professional wondering how AI will change your job over the next 3-5 years, this video breaks it down. I'll show you exactly which skills are becoming more valuable, which are becoming less valuable, and a realistic timeline for how your role will evolve. I didn't just want to share opinions. I conducted extensive deep research using all three major AI platforms (Claude, Gemini, and ChatGPT), synthesized the findings, and assembled infographics using NotebookLM. Combined with 8+ years of experience leading data teams and building AI into real workflows, my goal is to present you with evidence for how AI is changing the data game. In this video, you'll learn: 1) The evolution timeline for three core data roles (Data Analyst, Data Engineer, BI Analyst) from 2024 to 2030 2) The great skill shift: which skills are becoming less valuable vs. more valuable as AI takes over execution 3) The new career path from Developer/Builder to Problem Formulator to AI Orchestrator to Auditor/Validator 4) Real evidence supporting the AI transformation AND evidence for skepticism 5) Practical next steps to position yourself where humans add the most value ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RESOURCES The Evolution of the Data Profession Infographic: https://drive.google.com/file/d/1V5Ax... The Great Skill Shift Infographic: https://drive.google.com/file/d/1jtUD... AI Transformation Evidence Infographic: https://drive.google.com/file/d/1HdXa... Deep Research Document: https://docs.google.com/document/d/1F... Claude Deep Research Report on Transformation of Data Professions: https://drive.google.com/file/d/1Ml1T... Gemini Deep Research Report AIs Impact on Data Roles: https://drive.google.com/file/d/1Az8O... ChatGPT Deep Research Validation of Each Role’s Hypotheses (Evolution by Role & Time Horizon): https://drive.google.com/file/d/1Wc9h... Google NotebookLM: https://notebooklm.google.com/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CHAPTERS 00:00 - AI Data Evolution Intro, Who This is For, and My Research 03:07 - The Evolution of the Data Profession Overview 04:05 - Defining AI-Specific Vocabulary 05:13 - Data Analyst: The Current and Future State 07:23 - Data Engineer: The Current and Future State 08:57 - Business Intelligence (BI) Analyst: The Current and Future State 11:43 - Common Trends Across the 3 Roles 12:57 - The Data Professional's New Career Path 14:49 - The Data Skills Becoming LESS Valuable 16:09 - The Data Skills Becoming MORE Valuable 16:52 - What are Semantic Layers? 17:45 - Developing Your Familiarity With AI and Critical Thinking 19:40 - Evidence For and Against AI Data Transformation Intro and Sources 20:40 - Evidence For: Productivity Gains 21:27 - Evidence For: New Data Jobs Environment 22:15 - Evidence Against: Struggling to Realize AI Productivity Gains 22:47 - Evidence Against: Data Challenges 23:23 - Evidence Against: Job Automation 24:33 - My Takeaway: AI Transformation is Real but Messy 25:57 - How I Researched and Assembled the Infographics 27:01 - What Should I Do About This Shift? 28:31 - 2 Specific Concrete Next Steps For You 29:23 - Wrapup and Thank You! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ I'm Kyle Chalmers and after 8+ years leading data teams, I'm here to make AI approachable for all data professionals and enthusiasts. Subscribe for weekly/bi-weekly insights, demos, and lessons on the future of data work. Connect with my business: https://www.kclabs.ai/ Connect with me on LinkedIn: / kylechalmers I plan on introducing more content in my Substack publication in the future as well: https://substack.com/@kylechalmers1 #DataAnalyst #DataEngineer #BusinessIntelligence #AI #AITransformation #DataCareers #FutureOfWork #DataSkills #GenAI #MachineLearning #DataProfessionals #CareerDevelopment #UpSkilling #AIForData #DataJobs #Analytics #Claude #ChatGPT #Gemini #NotebookLM #AIResearch #DataWorkflow #TechCareers #DataScience