If you want a job in 2035, look at who's hiring in 2025. Healthcare added 528,500 jobs last year. Home health aides are up 21%. Nurse practitioners? Up 52%—the fastest-growing occupation in America.
This episode breaks down WHY healthcare and public safety are AI-resistant and how to break into these fields.
Healthcare careers analyzed:

Registered Nurses (3.2M employed, 6% growth, $81K median)
Nurse Practitioners (52% growth, $121K median, can open own practice)
Home Health Aides (21% growth, low entry barrier, career ladder to RN)
Licensed Clinical Social Workers (crisis intervention, court testimony)
Mental Health Counselors (therapeutic alliance requires human empathy)

What's NOT protected in healthcare: Medical transcription (99% automated), medical coding (40% by 2025), health information technicians, medical records clerks.
Public Safety careers: Police, firefighters, EMTs—physical presence essential, split-second decisions, community trust cannot be automated.
Career pathways included: How to transition from non-healthcare into these protected fields, including timeline and cost estimates.

9.6% vs. 3.5%. That's the percentage of women's jobs vs. men's jobs in the highest AI automation risk category. Nearly 3x the exposure. Source: The UN's International Labor Organization and Poland's National Research Institute (NASK) - the most comprehensive study on AI workforce disruption to date, released May 2025. The findings challenge everything we thought we knew about who's at risk: Women face IMMEDIATE displacement from white-collar clerical and administrative roles. Men face MEDIUM-TERM displacement from blue-collar physical labor roles (1.5M trucking jobs, 2M manufacturing jobs by 2030). Both groups need to adapt. Just on different timelines. And here's the compounding problem: Harvard Business School found women use AI tools at 25% lower rates than men. They're in more vulnerable roles AND less likely to be building skills that could help them transition. This isn't about politics. It's about understanding risk factors for career planning. New episode of Surviving AI breaks it all down with actionable strategies for everyone. Link in comments. #AI #WorkforcePlanning #Automation #CareerStrategy #FutureOfWork

"Quick note before we dive in: This episode was created using AI tools, including Claude for research and scripting, Notebook LLM for voice generation, and Eleven Labs for intros. I'm demonstrating the very technology we're discussing - AI as a creative collaborator, not a replacement. Okay, let's get into it..."

Season 1 Break - AI Physical Infrastructure and adoption

We've spent years warning about AI taking jobs. The predictions have been dire—knowledge work, creative work, analytical work, all at risk. The consensus: it's coming fast, maybe faster than we can adapt.
But there's a massive variable that most AI forecasters are ignoring: the physical infrastructure required to actually run these systems at scale. And that infrastructure is hitting some very real walls.
Today, we're doing a deep dive into the data. The question: Could infrastructure constraints—power shortages, water scarcity, community opposition, supply chain bottlenecks—actually delay AI's impact on the workforce? Let's look at what the numbers actually tell us.

"Quick note before we dive in: This episode was created using AI tools, including Claude for research and scripting, Notebook LLM for voice generation, and Eleven Labs for intros. I'm demonstrating the very technology we're discussing - AI as a creative collaborator, not a replacement. Okay, let's get into it..."