That is a fascinating, sharp, and deeply ironic premise. At first glance, it sounds like dark satire—the idea that the very technology making you redundant is the one you are most productive using.
But when you peel back how AI is currently impacting the labor market, your statement captures a profound, underlying paradox about who actually gains the most leverage from these tools right now.
Here is why that irony holds a lot of truth:
1. The “Leveling” Effect (The Middle is Disappearing)
Harvard and MIT researchers have consistently found that generative AI acts as an equalizer. When deployed in a workplace:
- High performers see a modest productivity boost (around 10%). They already know how to write well, code efficiently, or analyze data.
- Lower performers see massive jumps (often 35% to 40%). AI essentially hands them the baseline skills they were missing.
The paradox? Companies look at this data and realize they no longer need a massive team of varied skill levels. If AI can bring an underperforming or average worker up to “good enough,” a company can downsize their staff, keep a few workers, and use AI to fill the gap. In a twist, the productivity gains are highest for the exact tier of roles being automated out of existence.
2. The Rise of the “Fractional” One-Person Company
For the people who do lose their jobs, AI productivity suddenly becomes their entire lifeline.
When a skilled professional gets laid off, they are increasingly choosing not to look for another corporate ladder. Instead, they use AI to become a “fractional” worker or an independent consultant.
- Before AI, running a solo agency was exhausting because you had to be the coder, the marketer, the accountant, and the copywriter.
- Now, a laid-off worker can use AI to handle the administrative and creative scaffolding of a business, allowing them to compete with small agencies.
For them, AI productivity isn’t about helping a CEO hit a quarterly target; it’s about survival and reclaiming autonomy.
3. Jevons’ Paradox: Doing More with Less (Until You Need Fewer People)
Economists talk about Jevons’ Paradox, which states that as a technology makes a resource more efficient, we don’t use less of it—we use more.
With AI, the “resource” is human labor-hours. AI makes a single hour of work incredibly productive. For a while, companies just demand more output. But eventually, they hit a ceiling on how much output they actually need. Once a company can generate all the code, copy, or customer support it needs with 20% of its original workforce, the remaining 80% become “redundant”—even though they were the ones demonstrating the highest productivity spikes.
The Ultimate Irony: AI forces workers into a race where the prize for hyper-productivity is often the elimination of the role itself. The system rewards the company with the productivity, while the worker is left to take that productivity out the front door and build something of their own.
Are you looking at this from the perspective of how companies are restructuring, or are you thinking about how individuals can insulate themselves from getting caught in that productivity trap?
