[Music] Hey, it's Mark here and welcome to the next edition of the Employee Survival Guide, where I tell you as always what your employer does definitely not want you to know about, and a lot more. Welcome back to the Employee Survival Guide. The podcast that arms you, the employee, with the truth that your employer helps you never hear of. I'm your host, Mark Kerry, and Employment Lawyer, Workplace Rights Advocate, Extroordinaire, the guy who's been warning you about AI washing for a few years. If you caught Monday's blood bath in a Wall Street Journal, you already felt the trimmer. Single Substack Post published over the weekend, a 7,000-word hypothetical memo dated June 30, 2028, reportedly helped send the Dow Jones down more than 800 points in a single trading day. That's huge. The piece is called a 2028 Global Intelligence Crisis, where a GIC, for short, they're calling it, from Suntrini Research. It is explicitly labeled a thought experiment, not a prediction, but the markets didn't care. They read it and freaked out, because it hits the exact nerve we've been talking about on the show, what happens when AI gets so good, so fast that it doesn't just assist white collar work, it replaces the humans who used to do it. And the economy that depends on those humans spending money. Today we're breaking down for you, the employee, not the investor, not this C-suite executive, just you, as always. Because when the feedback loop described in this report kicks in, the first people to feel it are the ones showing up to the office every day. The hypothetical scenario is written as a macro memo from mid-2028 looking backwards. It starts in late 2025 with the arrival of the truly agentic AI coding tools. The kind that don't just autocomplete, they build entire market, SAS products in weeks, suddenly every procurement manager can threaten their vendor, build it in-house with clawed code or we walk. Vendors/Prices or Die companies realize they can cut 15 to 30% of their white collar headcount, which we're actually seeing right now. Poor the savings straight back into the more GPUs and better models and the cycle accelerates. The authors call it the human intelligence displacement spiral. I don't make this stuff up. AI gets better, companies need fewer people, spending drops, margins get squeezed harder, and more AI agents get bought, repeat, no natural break in existence. By 2026/27, you see mass layoffs in software, customer success, financial analysis, legal document review, real estate transactions, insurance underwriting, tax prep, even parts of consulting. New prompt engineer or AI wrangler jobs appear, but they pay a fraction of the six figure roles that they replaced. Displays to 180,000 salary product managers are driving Ubers for 45,000 a year, white collar unemployment spikes, consumer spending, 70% of the U.S. economy collapses. They even coin the term "ghost" to GDP. The computers are producing more output than ever, but the money isn't flowing through human pockets anymore. Unemployment hits 10% markets crash hard. Again, this is just a fiction. It's something that they have dreamt up, but it was plausible enough to move markets on Monday 800 points, a single article. It's just fascinating to watch. Every single trend it describes is already visible in 2026. So what are your takeaways here? Three big ones. The jobs most at risk are the ones that used to be safe or feel safe. Knowledge work? Maybe that's my work. Middle management? Anything that can be turned into prompts and agents? Now I don't think you can turn legal work into prompts or agents, but who knows? We really just don't know. The window to prepare is closing faster than most people think. The report says the spiral started with coding tools in late 2025. We are already inside the early innings of this game. Three, waiting for your company to re-skill you as a charitable plan. Companies are already using AI to cut costs, not create better jobs for you. That's why we did the last most recent episode called AI Washing, the practice of blaming layoffs on AI when it's really just a headcount and reduction dressed up in buzzwords. If you're in software engineering, project management, analyst rules, customer support, scripting, legal ops, marketing, automation, HR analytics, financial modeling or anything that lives in spreadsheets or slack. Listen closely, your role is being productized if that was such a word. Assign your job can be next. Your company is just announced a big AI partnership or internal agent pilot. Headcount is flat or dying or down while revenue is up. Vendors you rely on are offering massive discounts, powered by AI. Tests you used to own. Suddenly being handled by tools that didn't exist six months ago. Leadership starts talking about efficiency ratios in span of control in every town hall. If three or more of these are true, you are in the danger zone. Enough doom. Let's talk about survival and actually thriving. Here's your practical action plan, the same framework I give you my own clients or starring at the AI disruption. I should say staring at the AI disruption. Run your personal AI vulnerability audit. List every task you do in a normal week. Rate each one one to 10. On how easily an AI agent can do it, 80% of it. In 12 to 18 months, to kind of predict that. I'd be brutally honest. The one scoring eight plus are your exit ramps. You become dangerously good at AI. I keep on warning people to become super users. I saw that phrase in the Wall Street Journal a few months back. You may be one too. These devices are incredibly intelligent, fast, and our skill sets are increasing very, very quickly. Mine included. I even used this, an AI device to help me create this episode for you. Everyone's using it. Become a super user. Stop treating AI like a toy. Treating like the coworker who never sleeps and costs very little money per month. I spend the time with the different devices, agents, and then document. When you review the time comes, you can say you had more output for your boss and you're worth more with using this device. Double down on your skills in AI. Because AI, it sucks. It doesn't do the following things. You can't make or have difficult conversations. You can't problem solve with creativity, solving ambiguous high-stakes situations. People do that. Lawyers do that. Physical world judgment, trades, health care, and on-site leadership. I was just in the hospital today getting a routine test done. Don't think an AI could do what those people had done to me on a CT scan. Ethical decisions, making and accountability. I don't think that can happen yet. They're trying. But again, they're putting humans in the programming of the ethical dilemma or moral issues, trying to train it that way. How is that going to work? Building trust and influence across humans, they definitely can't do that. The highest paid, safest roles right now. Combine AI fluency with these human superpowers. Yeah, they're superpowers, I guess. You want to see it that way. Think AI savvy nurse practitioners, cyber security architects, who also brief executives, product leaders, who can say no to the AI hype. When it hurts customers, therapists, skilled electricians, who install the data centers, powering all this AI. Teachers who design curriculum around AI tools instead of competing with them. Build your own financial mode to prepare and they've been that you are AI washed out. You need some cash and update your resume. I want to be very clear. I'm not an anti-AI. I use it every day. As I've said, I use it for many of these episodes. Many of the case episodes you hear about, they're produced by AI. I use it in the show. I use it in my law practice, although we have constraints ethically on how we can use it. The future can be abundant if we force the gains to be shared. But right now, the incentives are all on the cost-cutting side for employers. That's why the protruding scenario hits so hard. It shows what happens when we let the loop run unchecked. It's a pretty wild story. I encourage you to read it. So you as an employee have more power than you think. You can actually vote with your feet up skill faster than your employer expects. Demand transparency when they roll it out. Those AI pilots and support policies that tax. Now, I win falls just to fund the transition. If you're facing AI-related performance pressure, forcing forced ranking or sudden restructuring my firm, Karen Asuch's handles these cases every week. We're used to this process. The link to our website is in the show notes. Thank you for spending some time with me. Allow me to be a service with you as always. Thanks. If you like the employees of Avogadde, I'd really encourage you to leave a review. We try really hard to produce information to you that's informative. That's timely that you can actually use and solve problems on your own and at your employment. So if you'd like to leave a review anywhere you listen to our podcast, please do so. And leave five stars because anything less than that.
is really not as good, right? I'll keep it up, I'll keep it standards up, I'll keep the information flowing at you. If you'd like to send me an email and ask me a question, I'll actually review it and post it on there. You can send it to
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