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A weekly dispatch for AI + Data Practitioners · #017 Flash Sale | 50% Off on Yearly Plan! Save Now Co-founder Ask Me Anything Standing out when everyone comes prepared Interviewers now assume you prepared with AI. That's the view of DataCamp co-founder and CEO Jonathan Cornelissen. A polished answer no longer sets you apart, because the next candidate prepared the same way. What sets you apart now is the depth of insight you bring. Jonathan said this at the close of RADAR 11x, where he and fellow co-founder and COO Martijn Theuwissen answered live questions on jobs, hiring, and what a career looks like now that AI tools are everywhere. Martijn couldn't think of anyone he knows with strong AI skills who lost their job, even during cuts. If you can automate part of your role, you can take on more, and that makes you harder to replace. Take data analysts, a role plenty of people are writing off. Martijn sees a different direction: "judgment in the role will be more important." Companies still need analysts, but the job is shifting from dashboards and code to framing the question, directing the tool, and checking what comes back. For analysts, he predicts two paths. The first is data engineering, because as more people run their own analysis, someone has to build the infrastructure behind it. The second is AI engineering, building the agents and tools everyone else uses. AI engineer roles are up 255% year over year in our State of AI Careers research. Regardless of role, judging the quality of output is now a valuable skill. Jonathan's reasoning: the software analysts used to write behaved the same way every time, so you could reason about whether it worked. Modern AI systems don't. Martijn's more direct: understand the concepts underneath, or "you're just going to accept what the model produces." It's tempting to ship what the model gives you. Spotting what's missing before anyone else does is quickly becoming the skill leaders value most. We've condensed their session, and highlights from the rest of the day, into a single podcast. Worth an hour while you plot your next move. Listen Now STARTS TODAY Prompting got you here, building will take you further Anyone can prompt. Far fewer can hand a model a recurring job and walk away. That's the gap on job descriptions right now, and three free sessions close it: Build a data story with visuals · 10.13 Automate a weekly report · 10.14 Ship a reporting agent in Codex · 10.15 Sign Up This week in AI and data AI This Week What Mistral Large 4 and Beam change for Chinese open models Western labs finally built models as large as China's. But, Large 4 still costs four times a Chinese rival that scores higher, and Qwen has been downloaded 55 times more than Kimi. Read Now Robotics What is embodied AI, and do your skills transfer? A chatbot can describe an apple. It can't pick one up. Why that gap is a $55.8bn problem, what embodied AI actually is, and where your skills fit. Read Now New courses and projects Project Building a Marketing Dashboard with Claude Cowork Intermediate · 15 min Get a new skill in 15 mins. Work through a hands-on project to turn campaign data into clear charts and insights you can share. Explore Project Course Building AI Agent Harnesses with Strands Agents Intermediate · 5 hours Learn to structure, run, and manage agents that complete real tasks reliably. Explore Course Course Microsoft Copilot in Word Basic · 3 hours Get more from Copilot in Word. Updated for the latest features, learn to draft, edit, and polish documents in a fraction of the time. Explore Course Resources to level up Oct. 28, 11 AM ET What AI-native data teams are hiring for The roles AI-native data teams are hiring for, the skills they're reskilling for, and how the work itself changes. RSVP Now Pre-Recorded Session Why only 8% of knowledge work is productive Our most-watched RADAR session. Five AI leaders, six minutes each, on what stays valua