2/16/2026 1:19 AM (PST)

Funny you mention that, I had a pretty similar path. I started in HR and slowly got curious about data and automation. What helped me was realizing that AI isn’t just about deep coding — there are roles in data analysis, project coordination, prompt design, ethics, and product support. I came across this article recently https://www.womentech.net/breaking-ai-ml-tips-tech-savvy-women-2025 , it’s not just for women, despite the title, but it breaks down practical steps and mindset shifts for getting into AI and ML. I took a couple of online courses, built small portfolio projects, and honestly that made a huge difference. You don’t need to jump straight into hardcore machine learning — start where your current skills overlap with AI.

2/16/2026 1:58 AM (PST)

Reading this thread is actually pretty motivating. I’m not in tech at all — I work in logistics — but AI is starting to pop up in our daily tools too. Even basic automation is changing how we plan routes and manage stock. I guess no matter what field you’re in, understanding at least the basics of how these systems work might become as normal as knowing Excel. I’m not planning a full career switch, but I’ve started watching a few intro videos just to keep up. It feels like one of those shifts you don’t want to completely ignore.