Send us Fan Mail
Are you worried that your job is being automated, but feel like you're "too old" to start over? You are not alone, and you are not out of options.
While age discrimination is a reality—especially in the tech sector, where ageism costs the U.S. economy $850 billion in lost productivity—older workers possess distinct advantages that younger generations lack. In this episode, we unpack the truth about late-career transitions in the era of Artificial Intelligence. We break down the exact financial Return on Investment (ROI) for pivoting into "human-centric" and AI-resistant moats like healthcare, skilled trades, consulting, and the public sector.
Discover why second-career nurses are highly sought after by hospitals for their maturity, how adult electrician apprentices boast near-zero dropout rates compared to their younger counterparts, and why government jobs offer a crucial 5-to-10-year buffer against AI disruption. We also dive into the hard math: how to calculate your break-even point whether you are 35, 40, or 45, and why taking action now is the ultimate defense against the "Silicon Tsunami".
In this episode, you’ll learn:
The reality of age bias: Why the EEOC just recovered a record $700 million in discrimination cases, and what it means for you.
How to leverage your financial stability, life experience, and professional network.
The math behind retraining: Break-even timelines for nursing and the trades.
Why the public sector is an "AI Sanctuary" currently lagging 5 years behind the private sector.
Actionable plans tailored specifically for your 40s, 50s, and 60s.
Surviving AI podcast, career change after 40, career change after 50, too old for new career, AI-proof careers for older workers, second career nursing, late career transition, age discrimination jobs, skilled trades apprenticeship adults, Carlo Thompson, career pivot 2026, mid-life career change, future-proof career over 40, retraining older workers, Silicon Tsunami jobs