Surviving AI – Job Automation & Workforce Future Insights
Let's be honest: Your company is already planning how AI will replace you.
They're not evil. They're practical. AI is faster, cheaper, and doesn't need health insurance. The only question is whether you'll see it coming and adapt—or be blindsided like millions before you.
I'm Carlo Thompson, Distinguished Engineer. I've spent two decades building the networks that now power AI. I understand this technology from the inside, and I'm here to translate it into survival strategies you can actually use.
Surviving AI delivers:
✓ Early warning signs your job is vulnerable
✓ Skills that AI can't replicate (yet)
✓ Career pivots that protect your income
✓ Real case studies from the automation frontlines
✓ The truth about "AI will create more jobs than it destroys."
Episodes are 30-45 minutes—no fluff, no filler—just the insights you need to stay employed in an AI-powered economy.
For: Professionals 30-50 in customer service, middle management, marketing, HR, finance, operations—basically anyone who isn't a software engineer.
This isn't fear-mongering. It's a wake-up call. Because hope isn't a strategy, but preparation is.
New episodes on Wednesday. Because by Friday, your competition will have already listened.
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Created with AI tools (Claude, Notebook LLM, ElevenLabs, Descript) to prove humans and AI work better together than either does alone.
Surviving AI – Job Automation & Workforce Future Insights
Episode #4 - Data Scientists, Lawyers & Accountants: Why Knowledge Workers Are Screwed
You spent $200K on a degree to do work that ChatGPT does in 3 seconds. How does that feel?
Episode 4 of Surviving AI delivers the uncomfortable truth about white-collar automation—with specific data for data scientists, lawyers, and accountants.
DATA SCIENTISTS:
- Microsoft study: On the "40 most vulnerable jobs" list
- 35-50% of tasks at immediate risk
- The irony: BLS projects 36% growth—but the entry ladder is disappearing
- Survival path: Pivot to AI engineering, governance, or deep domain expertise
LAWYERS:
- Paralegal work: 80% automation risk by 2026
- Junior associates: HIGH risk (research/doc review was their entire job)
- Senior partners: LOW risk (relationships, rainmaking, strategy)
- Timeline: 2025-2027 junior reductions, 2028-2035 firm restructuring
ACCOUNTANTS/CPAs:
- 50-70% of routine tasks automatable
- Entry-level: 70-95% automation risk by 2027
- CPA license provides minimal protection for routine work
- What's protected: Strategic advisory, forensic accounting, complex tax
THE COMMON PATTERN: → Entry-level positions disappearing fastest → Mid-level squeezed → Senior relatively safe—but fewer total positions
The traditional career ladder is broken. AI does the grunt work that juniors used to do to learn and advance.
📊 Exercise: List your daily tasks. Mark each as Routine/Creative, Digital/Physical, Predictable/Unpredictable. What percentage is "Routine + Digital + Predictable"? That's your danger zone.
#knowledgeworkers #datascience #lawyers #accountants #whitecollarjobs #AIautomation
"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..."