AI Co-hosts and Keeping it Human

What happens when AI gets good enough to sit in the co-host chair—but not good enough to replace a heartbeat? We dig into the real trade-offs behind AI in podcasting, from research assistants and auto-summaries to voice cloning, live translation, and whether anyone actually wants a synthetic sidekick. The conversation is honest and a little contrarian: yes, the tools are powerful and getting better by the week; no, they can’t carry the weight of human curiosity, risk-taking, and the messy surprises that make a show worth hearing.

We also tackle the question so many podcasters ask at the 200‑episode mark: should I quit? The answer starts with purpose, not downloads. If your show brings in clients, sharpens your thinking, and gives your current audience real value, that’s success. If burnout is the real problem, take a strategic break or switch to seasons—use themes for deep research, group similar content for discovery, and protect your energy without ghosting your listeners. On the flip side, there’s a strong case for consistency: when you occupy a loyal spot in someone’s weekly routine, missing a release can invite another show onto their “first string.” Choose the path that fits your goals, then communicate it clearly.