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..."

By the end of this episode, you'll have a number—your personal automation risk score. Then we'll tell you exactly what to do about it.
Episode 6 of Surviving AI gives you the comprehensive assessment framework combining:

O*NET task analysis
The Four Protection Factors
Stanford exposure metrics
Microsoft AI applicability scores

THE 100-POINT ASSESSMENT:
SECTION 1: Task Analysis (40 points)
→ Routine vs. creative work
→ Digital vs. physical
→ Predictable vs. variable environment
→ Problem-solving requirements
→ High-stakes judgment
SECTION 2: Credential Barriers (30 points)
→ Licensing requirements
→ Preparation time
→ Continuing education
SECTION 3: Human Elements (20 points)
→ Empathy requirements
→ Non-verbal cue reading
SECTION 4: Liability & Authority (10 points)
→ Personal legal liability
SCORE INTERPRETATION:

81-100: VERY LOW RISK (protected through 2040+)
61-80: LOW RISK (protected through 2035)
41-60: MEDIUM RISK (transformation 2028-2032)
21-40: HIGH RISK (major impact 2025-2027)
0-20: CRITICAL RISK (displacement happening NOW)

SPECIFIC ACTION PLANS FOR EACH TIER:
→ Critical risk: Immediate transition required (6-12 month window)
→ High risk: Emergency career pivot (12-24 months)
→ Medium risk: Urgent upskilling needed
→ Low risk: Enhancement actions
→ Very low risk: Leverage AI to thrive
📊 Full assessment walkthrough included—pause and complete it as you listen.
Re-assess every 6 months. Your score isn't static.
#careertest #automationrisk #AIassessment #jobsecurity #careerplanning #futureproof

"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..."