Surviving AI: Cutting Through the Hype on AI, Work & the Economy

⚑ Correction: This episode has an on-air correction — details in the Episode Resources Center: survivingai.co/episodes-center

White-collar workers with degrees are getting automated faster than blue-collar workers without them. Here's the data that proves it—and what to do about it.

In Episode 2 of Surviving AI, we expose the paradox destroying the "get a degree, get a job" myth:

→ Pharmacists (PharmD + licensing): 60-75% automation risk → Electricians (apprenticeship + license): 5-15% automation risk → Why predictable office environments are MORE automatable than unpredictable job sites

We introduce The Four Protection Factors—the framework that determines if your job survives:

1. Physical unpredictability
2. Human connection & empathy requirements
3. High-stakes judgment + personal liability
4. Multiple overlapping credential barriers

Case Study: Why nurses (5-15% risk) will outlast pharmacists (60-75% risk)—even though both require advanced degrees and state licensing.

Plus: The skilled trades boom nobody's talking about. 550,000 plumber shortage by 2027. Nvidia's CEO says electricians are in "astronomical demand." Data centers need humans to build and maintain them.

📊 Exercise included: Rate your job on the Four Protection Factors (0-40 scale) and discover your true risk tier.

If your score is below 20, you need Plan B by next quarter. Not next year.

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career — every week.

🎥 Watch this episode on YouTube: https://www.youtube.com/watch?v=Ua12nZ2A46I

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

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Please visit our website for more information - Surviving AI: Navigate the Future

⚑ Correction: This episode has an on-air correction — details in the Episode Resources Center: survivingai.co/episodes-center

By the end of this episode, you'll know if your job has 24 months or 10 years left. Most of you? 24 months.

In this premiere episode of Surviving AI, we break down the cold, hard data on AI job displacement—no fear-mongering, no hype, just facts from academic studies and industry reports.

We cover: → The Cashier Crisis: Why 88% automation risk means 350,000 jobs vanishing by 2033 → Amazon Go, Walmart self-checkout, and the pattern that predicts YOUR industry → Why the famous Oxford "47% of jobs" prediction failed—and what actually matters → The Stanford study showing Gen Z employment already declining → How to assess your own job using O*NET (with a step-by-step exercise)

This isn't theoretical. 76,440 people have already lost jobs to AI in 2025. The question isn't IF automation is coming—it's WHEN it hits your paycheck.

🔗 Resources mentioned:

• O*NET Online: onetonline.org
• Bureau of Labor Statistics: bls.gov

📊 Take the exercise: Search your occupation on O*NET and count your tasks. If more than 50% are repetitive and digital, you're in the danger zone.

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Surviving AI is hosted by Carlo Thompson and Ainsley (AI co-host), breaking down what AI job automation actually means for your career — every week.

🎥 Watch this episode on YouTube: https://www.youtube.com/watch?v=rwAICaHCN1U

📚 Browse every episode, show notes, and resources: Surviving AI Episode Center

Follow Surviving AI: Facebook | TikTok | Instagram | X/Twitter

Please visit our website for more information - Surviving AI: Navigate the Future