A product marketer who worked at Amazon for four years got laid off. She'd learned vibe coding, mastered prompt engineering, even built an internal website using AI. Still got cut. But here's where the real plot twist begins.
What's the story?
Tejal Rives, 35, based in Arizona. She joined Amazon in 2021 as a product marketer writing internal product descriptions. In October 2025, when Amazon laid off 14,000 people, she was among them. She'd survived previous rounds, but this time her gut told her she wouldn't make it.
Here's the interesting part: Rives had already gone all-in on AI upskilling before the layoff. With a colleague's help, she learned vibe coding and built an internal Amazon site using AI. She thought using AI would make her more valuable to the company, but when restructuring happens, organizational decisions trump individual skill sets.
And Rives isn't alone. According to CNBC, 1.56 million new business applications were filed in the US between November 2025 and January 2026 — the highest three-month period since 2004. People are either getting laid off because of AI or preemptively quitting because they see it coming.
HBR's survey of 1,006 global executives revealed an even more striking fact: most AI-related layoffs were based not on AI's actual performance, but on expectations of what AI might be able to do in the future. Companies cut people over capabilities that haven't been proven yet.
What's actually different?
There's this narrative that "learning AI skills will keep your job safe." Rives's story pushes back hard against that. But it also shows that AI skills can create value in a completely different way.
| "AI to protect your job" | "AI to create new paths" | |
|---|---|---|
| Assumption | Your company will value your AI skills | You create value directly with AI skills |
| Reality | Restructuring happens regardless of individual skills | Freelancing & entrepreneurship become immediately viable |
| Control | Depends on your employer | You decide |
| Case study | Rives: learned AI, still got laid off | Rives: started a career coaching business |
| Data | 89% of leaders say AI skills matter, but only 6% actually train employees | 1.56M new business applications, all-time high |
Rives isn't the only one. CNBC interviewed Travis Spicer (30), an audio producer earning $75,000 who preemptively quit because he sensed AI would eliminate his job, then launched an AI analytics startup. Software engineer Michelle Yeung (29) walked away from a $250,000 salary to open a matcha cafe in New York. UC Berkeley's Saikat Chaudhuri puts it this way:
"The opportunity cost of starting a business is lower right now, just because the alternatives in the labor market are not as strong."
— Saikat Chaudhuri, UC Berkeley Haas School of Business
And there's data pointing the other direction too. According to Forrester, 55% of companies that made AI-driven layoffs regret them, and Gartner predicts half of those layoffs will be reversed by 2027. Klarna is the poster child — they replaced 700 employees with AI, then customer complaints surged and they started hiring humans again.
Key Insight
The real value of AI skills isn't "not getting fired." It's "being able to stand back up even if you do." Rives was able to start her business precisely because of the prompt engineering she learned at Amazon.
The playbook: pivoting your career with AI skills
- Start with prompt engineering
Of all AI skills, prompt engineering is what Rives recommends most. Lower barrier to entry than coding, and immediately applicable in any role. Start with Anthropic's guides or OpenAI's prompt engineering docs. - Build YOUR portfolio, not your company's
Don't only apply AI skills to work projects. Use them in side projects, personal blogs, freelance gigs — make them yours. When the layoff comes, those experiences become the seeds of your next venture. - Build an MVP with vibe coding
According to Forbes, vibe coding is "the biggest unlock for non-technical founders right now." Use tools like Cursor, Replit, or Claude Code to prototype your ideas directly. Validate before you hire developers. - Prioritize adaptability as your #1 skill
Metaintro's analysis shows that the most rewarded skill in the AI era isn't any specific technical tool — it's adaptability. The ability to learn new tools fast, switch contexts, and make judgment calls that algorithms can't. - Prepare for layoffs as the default scenario
Rives's advice: "Reskilling won't necessarily stop a company from laying you off, but it might help you land a role faster." Build your emergency fund, side projects, and network in advance.
Warning: Don't wait for your employer to reskill you
89% of leaders say AI skills are critical, but only 6% of companies have started meaningful reskilling. Only 26% of employees have received any AI collaboration training. Drop the expectation that your employer will train you, and invest in yourself.
