Fifteen percent of workers say they'd be fine with an AI boss. Meanwhile, thirty percent of March's sixty thousand US layoffs are being blamed directly on AI — and most of those jobs were in tech, the sector that built the tools doing the replacing. Jeremy and Jason sit with the uncomfortable logic of where this all leads: a capitalism that's optimizing so hard for efficiency that it's burning the workforce it depends on. No guests, no protocol. Just two guys who've been around long enough to remember when this job was supposed to be a career, and who aren't sure 'adapt' is the answer anymore.

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Key Moments

• 00:00 — The AI boss survey: 15% say they'd accept a robot manager — and why that number reveals more about human managers than AI
• 02:41 — Why 'the boss function' doesn't feel fully human to most employees anyway
• 04:01 — Jason's case that employers are trying to replace everyone, not just management
• 05:31 — The outsourcing pattern: from Asia to AI — it's the same playbook, accelerated
• 09:39 — The 60,000 March layoffs: 18,000 attributed to AI, mostly in tech — the people who built the tools
• 11:01 — Silent quitting, AI monitoring, and how the three-month detection window just collapsed
• 12:28 — The signal-to-noise problem: collective apathy and why people can't find the action step
• 13:37 — Jason's reframe: the system isn't against you. It just doesn't see you as a threat anymore.
• 16:52 — The generational split: why kids who grew up through 9/11, COVID, and two financial crises don't flinch at gig economy chaos
• 18:47 — Anthropic's weapons refusal and the autonomous killing machine pipeline: from digital infrastructure to meat space
• 21:17 — Jeremy's optimism thread — and why Jason thinks we keep handing wiffle ball bats to toddlers

Heart disease kills one person every 40 seconds. That number hasn’t changed in 30 years. Dr. John Osborne, a preventive cardiologist with two doctorates and 29 years in practice, has spent his career on a single question: why do we screen for cancers that kill a few percent of us and do nothing for the disease that kills 40%? In this episode, Jeremy and Jason sit down with Dr. Osborne to get the real story on cardiac CT with AI — the imaging technology that can detect, quantify, and track arterial plaque at sub-millimeter resolution, years before symptoms appear. If you track your bloodwork, wear a fitness device, or consider yourself health-forward — this is the conversation that fills the gap nobody warned you about.
Guest Link:
https://clearcardio.com/

Key Moments:

• 00:00 — Dr. Osborne’s case for preventive cardiology: why heart disease is the most under-screened killer
• 02:43 — How cardiac CT evolved from "iPhone 0.5" to the 2026-era AI-powered tool he uses today
• 05:35 — Why he gave up stress tests and heart caths in 2005 and never looked back
• 08:16 — What AI actually adds: seeing and quantifying plaque invisible to the human eye, down to 0.1 cubic millimeters
• 10:13 — When insurance pays for cardiac CT — and when it doesn’t (the preventive gray zone)
• 14:50 — The “cardiac colonoscopy” concept: the case for screening before symptoms, not after
• 18:11 — Coronary artery calcium score: the accessible $100 starting point, and what it can and can’t tell you
• 31:54 — Lifestyle essentials: the 50% of risk that’s modifiable regardless of genetics
• 35:00 — Family history decoded: why your sibling’s heart history matters more than your parents’
• 36:12 — Nicotine myth-busting: Dr. Osborne on the "health guru" nicotine fad and why he thinks it’s dangerous
• 38:05 — Supplements under scrutiny: natokinase, fish oil, red yeast rice — what the actual RCT data says

The internet taught everyone to self-diagnose. AI made it faster, more persuasive, and significantly more dangerous.
Dr. Ajit Barron-Dhillon — ER physician, military veteran, and someone who has watched patients demand MRIs for minor complaints because 'the internet said so' — joins Jason to talk about what AI-assisted health research actually does to people who think they're being smart about it.
The conversation covers confirmation bias in clinical settings, supplement stacks optimized by ChatGPT, the cheerleader problem in medical AI, and why being above-average intelligent with these tools may make you more vulnerable, not less. If you use AI or Google to research your health, this conversation is specifically for you.

Topics Discussed

• Why AI self-diagnosis is dangerous specifically for informed, health-conscious people
• What ER physicians are actually seeing when patients arrive with internet-sourced diagnoses
• How confirmation bias turns AI research into an expensive form of being wrong
• When AI-assisted supplement optimization is useful — and when it's not
• Why peer-reviewed research and AI training data are not the same thing
• What a responsible approach to AI health research actually looks like

CHAPTERS

• 0:00 — Jeremy's Intro: Sick and Googling While Hosting an AI Health Episode
• 1:17 — Kids Unplugging: Why In-Person Dating Is the New Counterculture
• 2:40 — The No-Wi-Fi Coffee Shop and What the Internet Can't Tell You
• 9:47 — I Let ChatGPT Optimize My Supplement Stack. Here's What Happened.
• 11:59 — The Telemedicine Loophole: AI + Social Engineering for Prescriptions
• 14:25 — Why Your Doctor Doesn't Know What You're Supplementing
• 20:16 — NIH PubMed Is Being Scrubbed — and Why That Matters
• 28:40 — She's Not Fighting Logic. She's Fighting Belief.
• 32:58 — Star Trek, Dr. McCoy, and the Tricorder We're Almost Building
• 37:11 — What a PubMed-Only AI Would Actually Look Like
• 44:58 — The Tool Gets You 80% There. The Human Closes the Gap.