A new paper from the Brookings Institution challenges both the rosy and catastrophic narratives about artificial intelligence. According to researchers Konrad Kording and Ioana Marinescu, the AI revolution may resemble a classic boom-and-bust cycle—except the volatility won’t hit financial markets first. It will hit wages.
Their findings suggest a surprising pattern: wages may initially surge as automation boosts productivity, only to decline later as machines take over a rising share of mental tasks. The story of AI, they argue, could follow a hump-shaped curve—sharp early gains followed by a slow, grinding correction.
A Temporary Wage Boom Fueled by AI Productivity
Kording and Marinescu began with a simple but telling question: how will wages evolve as AI systems become smarter and more capable?
Their simulations show that automation in intelligence-based work—everything from data analysis to content creation—starts by increasing productivity. Workers benefit because they can accomplish more with smarter tools, pushing wages upward.
In the early stages, AI acts as an amplifier. Humans remain in control of cognitive tasks, and technology helps them perform faster and more efficiently. The researchers’ model reflects this phase with a steep rise in wages.
But as the authors warn, this high doesn’t last.
When AI Takes Over, Wage Gains Begin to Reverse
As AI grows more capable, it no longer just assists with intelligence tasks — it begins performing them independently. Once machines master large portions of cognitive work, the demand for human workers in those areas declines.
Eventually, negative effects dominate. Most workers, the authors write, get “iced out” of high-value intelligence jobs.
The model shows a plateau in wages, followed by an unmistakable decline. Output continues to grow because automation drives efficiency, but those gains increasingly flow to capital—AI systems, software, and machinery—rather than to human labor.
Displaced workers shift into slower-growing physical industries such as construction, transportation, and caregiving. These jobs are essential but less scalable than digital work, which drags average wages downward.
The result: a clear wage boom followed by a correction as AI saturates knowledge-based tasks.
Intelligence Saturation: A Middle Ground in the AI Debate
The authors push back against two competing narratives:
- The techno-utopian view that AI will create unlimited abundance
- The doomsday perspective that AI will eliminate nearly all jobs
Instead, they propose the idea of “intelligence saturation.”
AI can make economies smarter and more productive, but its benefits slow as long as physical tools, equipment, and human labor remain bottlenecks. Even a perfectly intelligent machine can’t construct a building, care for a patient, or run a factory without physical infrastructure and human involvement.
This constraint caps AI’s ability to drive limitless growth.
Policies to Prevent the Wage Curve from Turning Downward
To protect workers from the downward side of the wage curve, the authors recommend:
1. Slowing the pace of automation
Rapid adoption can outstrip workers’ ability to transition into new roles.
2. Investing heavily in physical capital
Machines, tools, and infrastructure allow human labor to remain productive even as digital tasks shrink.
3. Taxing virtual substitutes for human services
Similar to Senator Bernie Sanders’ proposed “robot tax,” such measures could discourage excessive automation and preserve in-person jobs.
For more articles like this visit Trenzest.
