Implementing AI into Your Career

In this follow-up to our episode on AI, training, and the job market, BABL AI CEO Dr. Shea Brown is joined again by COO Jeffery Recker and Chief of Staff Emily Brown to get practical about one big question:
How do you actually implement AI into your career… without losing yourself (or your job) in the process?
Whether you’re secure in your role, worried about layoffs, or actively changing careers, this episode focuses on tactical, realistic steps you can start taking this week.
🎧 In this episode, we cover:
How to start using large language models (LLMs) and agents in your day-to-day work
Concrete examples for roles like lawyers, accountants, marketers, operations, HR, teachers, and journalists
What to do if your manager or organization is afraid of AI (data leaks, reputation risk, etc.)
How to avoid “AI slop” and become the person who provides clear, minimal, high-value outputs
A practical plan if you’ve been laid off or see layoffs coming: dual-track job search + AI pivot
Using AI ethically for resumes, ATS filters, and video interviews—without fabricating experience
Why you should make an “AI inventory” of tools already in your life (spoiler: it’s more than you think)
How to set boundaries with AI so it augments your work, not your identity or mental health
Mindset shifts for people who don’t feel “technical” but still need to adapt Check out the babl.ai website for more stuff on AI Governance and
Responsible AI!