Surviving AI (Continued)

Artificial Intelligence · Labor · Business · tech

Meanwhile, in Ohio, a former retail manager named Mike was laid off when his chain closed twenty stores. He’d never touched a prompt. But he watched tutorials, built a chatbot to help local businesses with customer service, and now consults full-time. “I got tired of applying for jobs that didn’t exist anymore,” he said. “So I made one that didn’t exist yet.”

These aren’t outliers. They’re early signals.

And the map is getting clearer.

Use AI now. Not as a gimmick. As a tool. Build muscle memory. Make it part of your daily flow. Then double down on what AI can’t touch: ethics, improvisation, storytelling, teaching, mentoring, design—the things that make people feel something instead of just nod along.

The power isn’t in rejecting AI. It’s in owning the overlap. Where human meets machine—that’s where influence will pool.

You don’t have to be a coder. You have to be irreplaceably human.

Some folks are hedging in other directions. Picking up side work in trades. Starting service businesses. Building multiple income streams through teaching, consulting, or freelance. It’s not always pretty. But it’s resilient.

Universal Basic Income might come. Elon Musk wants it. Sam Altman wants it. But it’s not here. And even if it arrives—it won’t replace momentum, purpose, or the pride of being useful.

This shift won’t be fair. It won’t be gentle. And it won’t wait.

But history’s given us the playbook.

Tellers became financial advisors. Typists became managers. Scribes became editors.

Now it’s our turn.

Somewhere in Austin, that copy lead still writes—but now for himself. The system he trained handles the rough draft. But he chooses what stays. And what matters.

The future isn’t human or machine. It’s human with machine.

Figure out your half of the bargain—and make it count.

Bibliography

1. McKinsey Global Institute. Jobs lost, jobs gained: Workforce transitions in a time of automation . McKinsey &amp Company, 2017.

2. One of the earliest and most cited reports estimating that up to 375 million workers could be displaced or forced to change occupations by 2030 due to automation and AI.

3. Marr, Bernard. “ChatGPT Reaches 100 Million Users Faster Than Any App In History.” Forbes , 3 Feb. 2023.

4. Reports that ChatGPT reached 100 million users within 60 days, highlighting the unprecedented pace of AI adoption.

5. Bureau of Labor Statistics. “Job Openings and Labor Turnover – June 2025.” U.S. Department of Labor , July 2025.

6. Provides employment data including the estimated 78,000 tech job losses in the first half of 2025, many due to automation.

7. Kozyrkov, Cassie. “Decision Intelligence Is the Future of Work.” Medium , 2022.

8. A reflection by Google’s former Chief Decision Scientist on helping individuals use AI more effectively—not just technically, but cognitively.

9. Keynes, John Maynard. Economic Possibilities for our Grandchildren . 1930.

10. One of the earliest modern discussions on technological unemployment, predicting both job loss and eventual leisure due to automation.

11. Vaughan, Margot Lee Shetterly. Hidden Figures . New York: William Morrow, 2016.

12. Tells the story of Dorothy Vaughan and other Black female mathematicians at NASA who adapted to the arrival of computers by learning to code.

13. Sale, Kirkpatrick. Rebels Against the Future: The Luddites and Their War on the Industrial Revolution . New York: Basic Books, 1995.

14. Historical account of the 1811–1816 Luddite movement against mechanized looms, often misunderstood as anti-technology.

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