Your most important work tool isn't AI — it's what you bring to the table.In this episode, I sat down with Yulia Kosarenko, lifelong business analyst, author, trainer, and professor, for a conversation that I think every business analyst needs to hear right now. Yulia has spent years thinking about what it means to have a true business analyst mindset, and at a time when AI can generate a document in five seconds, her message is incredibly timely: thinking is still your job, and that's not changing.We talked about the invisible work that business analysis professionals do and why that work is what AI cannot replicate. Yulia made a point that stuck with me: by the time you've given AI all the context, structure, and direction it needs to produce something useful, you've practically done all the analysis already. The hard work, the real work, the thinking, still belongs to us.We also got into some territory that is just under the surface of our work these days: the growing pressure to produce more faster, the risk of "AI slop" becoming the new normal, what it means to raise a generation of students (and professionals) who never learned to think without a shortcut, and why human conversations are still one of the most powerful elicitation tools in our toolkit.🎙️Episode Highlights• What it means to take responsibility for your own thinking • Why the invisible parts of our job are the parts AI can't touch• How to teach students (and yourself) to critically evaluate AI output• Using organizational language as a competitive advantage• The false confidence problem: when AI sounds right but isn't• Why human conversation is still irreplaceable for knowledge gathering• Process mining, primary data, and the techniques business analysts aren't talking about enough• AI and innovation and the issues that arise when we use AI and the trademarked data to • How to know when AI is helping you think — and when it's making you think less• Managing teams in an age of AI slop🔗 Resources