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Stop fearing AI. Start embracing the new roles AI is creating. This is how: 🧵
We’ve all seen headlines warning that AI will replace us—but the real story is how AI is reshaping our careers. From data science to deployment, new, high-impact roles are emerging at every step of the AI lifecycle:
1. Prompt Engineer & Knowledge Engineer: These roles craft the questions and context that unlock AI’s answers.
2. Model Validator & AI Risk Specialist: Ensure AI behaves ethically, reliably, and in compliance.
3. Decision Engineer & AI Translator: Bridge the gap between technical outputs and business impact.
Meanwhile, core roles like these are evolving with AI: - Data Scientists - ML Engineers - DevOps/ML(Ops) Engineers - AI Architects According to Gartner, these roles are evolving to work with AI—not against it.
THIS IS WHY ALL DATA SCIENTISTS, DATA ENGINEERS, AND DATA ANALYSTS NEED TO LEARN AI IN 2025 AI is a massive opportunity to upskill and future-proof your career. I want to help. This is how:
On Wednesday, December 17th, I'm sharing one of my best AI Projects:  How I built an AI Customer Segmentation Agent with Python 👉Register here (740+ Registered): <a target="_blank" href="https://learn.business-science.io/ai-register" color="blue">learn.business-science.io/ai-register</a>
That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become an AI data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience <a target="_blank" href="https://twitter.com/815555071517872128/status/1998428768252104802" color="blue">x.com/81555507151787…</a>
P.S. Want live AI + Data Science training with me for free? Register for my next live AI for Data Scientists Workshop here: <a target="_blank" href="https://learn.business-science.io/ai-register" color="blue">learn.business-science.io/ai-register</a>