In this episode of AI for Everyone, Harrison sits down with Minyang “MJ” Jiang — Chief Strategy & Revenue Officer at Credibly. MJ’s career spans from human rights work to Ford Motor Company to reshaping fintech with AI.We talk about why AI should augment, not replace; the real risks of bias and black-box systems; why human experts will matter more than ever; and how AI can support but never replace great teachers. MJ also shares insights from Wharton and what she believes the 2030 workplace will look like.If you want a practical, human-centered take on AI adoption and culture, this is the episode for you.Harrison PainterAI Training Expert and Ethical AI Adoption Strategist

Credibly: https://www.credibly.com/

Chapters:00:00 – Intro: Who is Minyang Jiang?02:00 – From literature and nonprofits to Ford and fintech06:00 – Can AI reduce bias in lending?11:00 – Why human experts must stay in the loop17:00 – Upskilling, quality control, and AI adoption at scale23:00 – AI, creativity, and mental health concerns29:00 – Where AI helps education — and where it hurts35:00 – Why “AI-first” companies may be getting it wrong38:00 – Speed Round + Closing insights