Abundant Intelligence, Scarce Demand

 

There is a growing narrative circulating in certain corners of finance that asks an uncomfortable question:

What if artificial intelligence works exactly as promised?

Not in a speculative sense. Not in a hype-cycle sense. But in a cold, operational, balance-sheet sense.

What if intelligence becomes abundant?

The instinctive reaction is to celebrate. Intelligence has always been the scarce input. Capital can be raised. Energy can be extracted. Labor can be trained. But high-level cognition has historically been limited by the number of capable human minds available.

For two centuries, technological progress increased productivity while expanding employment. Machines replaced muscle, and humans moved up the value chain. The scarcity of intelligence preserved labor’s role in the circular flow of income.

This time may be different.

 

The Compression of the Intelligence Premium

Human intelligence has commanded a premium because it was scarce and difficult to replicate. Lawyers, consultants, coders, analysts, managers. Entire industries were built on the monetization of structured thinking.

If machine systems can now perform many of those tasks at near-zero marginal cost, then the premium compresses. Not disappears overnight, but narrows.

When the premium narrows, two things happen simultaneously:

1. Corporate margins initially expand because labor costs fall.
2. Aggregate demand eventually weakens because displaced or downshifted workers earn less.

This is the paradox embedded in the “Global Intelligence Crisis” framework.

Firms optimize rationally. Collectively, the system destabilizes.

 

From Sector Risk to Demand Risk

Most investors are still treating AI disruption as a sector allocation problem.

Software versus hardware. Applications versus infrastructure. Long semiconductors, short SaaS.

That framing is incomplete.

If enough high-income workers experience earnings compression, the consumer economy absorbs the shock. In the United States, upper-income households drive a disproportionate share of discretionary spending. Luxury goods, travel, housing turnover, financial services. The demand base is narrower than headline employment figures suggest.

A modest decline in high-income employment can have an outsized effect on aggregate consumption.

This is not ideological. It is arithmetic.

If productivity gains accrue primarily to capital and compute owners, and not to households, then measured output can remain elevated while transactional velocity slows.

GDP prints may look fine. Credit metrics tell a different story.

 

The Mortgage Question

Credit underwriting assumes income continuity. Prime mortgages are priced on the expectation that borrowers will maintain stable earnings across decades.

If income expectations shift structurally rather than cyclically, the math changes.

The risk is not an immediate default wave. It is gradual impairment. Savings buffers erode. Secondary income sources replace primary careers. High earners reduce discretionary spending before missing payments.

The early symptoms would appear in luxury housing markets, not subprime segments.

The feedback loop, if it forms, would be slower than 2008 but potentially more persistent.

 

Why This Is Not Inevitable Collapse

There is a temptation to treat this scenario as destiny.

It is not.

The economy is adaptive. Political systems are reactive. Capital reallocates. Institutions defend themselves.

But adjustment speed matters.

If intelligence supply expands faster than institutional frameworks can reprice labor, redistribute gains, or redesign incentives, then volatility rises.

Markets struggle most when the underlying unit of value changes.

And intelligence may be that unit.

 

What This Means for Investors

Stop asking which chatbot wins.

Ask instead:

Who controls the bottlenecks?

Compute. Energy. Data access. Regulatory gatekeeping. Infrastructure.

And on the other side of the ledger:

Which assets depend on high human wage growth to sustain pricing power?

Those are structurally exposed.

This is not about being bullish or bearish on AI.

It is about recognizing that when scarcity disappears, every asset built on that scarcity must be repriced.

 

Final Thought

Abundant intelligence is not inherently destabilizing.

But an economy built on the assumption that intelligence is scarce will not transition quietly.

The premium does not vanish. It migrates.

Follow where it goes.

By Dr. Alan Mercer, PhD