AI Will Cause Bankruptcies

AI is not a feature. It is a cost curve shift.

When cost curves shift fast enough, markets do not adjust gradually. They reprice. And when revenue reprices faster than obligations, companies fail.

AI will cause bankruptcies not because it is intelligent, but because it changes what customers will pay for and how quickly competitors can replicate value.

The bankruptcies will begin when revenue durability erodes.

The Pressure Starts at the Top Line

Most restructurings follow a pattern. Revenue softens. Margins compress. Liquidity tightens. Lenders grow cautious. Vendors shorten terms. Options narrow.

AI introduces stress at the beginning of that chain.

If a service or product can be replicated at a dramatically lower cost, the ceiling on pricing falls. The decline may be incremental at first. More discounting. Smaller engagements. Slower renewals.

But fixed costs do not decline incrementally. They remain. 

When overhead stays constant and pricing falls, cash flow disappears quickly.

That is enough to trigger distress.

Commoditization Happens Faster Than Strategy

Entire categories are exposed to this shift.

Routine legal drafting. Standard accounting workflows. Marketing production. Entry-level research. Template-driven consulting. Basic analytics. Level one tech support.

These functions supported durable fee structures because they required human labor at scale.

AI reduces the cost of producing that output.

If the market decides “good enough” is sufficient, premium pricing erodes. Companies built around repeatable intellectual output will feel that pressure first.

The issue is not whether AI replaces professionals. It is whether it reduces the billable base underneath them.

If that base shrinks, leverage becomes dangerous.

Software Is Not Immune

Software businesses rely on recurring revenue and workflow dependency. AI challenges both.

If AI tools can execute tasks across systems, the value of any single interface declines. Switching costs weaken. Pricing power narrows.

For companies carrying debt, even modest changes in renewal rates or customer lifetime value can affect refinancing prospects.

When lenders reassess durability, capital tightens.

A refinancing that once seemed routine becomes uncertain.

Uncertainty is often the prelude to restructuring.

Fixed Costs Become the Problem

Disruption is survivable when cost structures flex. It is destabilizing when they do not.

Long-term leases. Enterprise software contracts. Full-time staffing models. Debt service. These obligations assume a degree of stability.

AI introduces variability.

If revenue becomes more volatile while obligations remain fixed, liquidity absorbs the shock. When liquidity thins, management loses optionality.

Many bankruptcies are simply liquidity events.

AI increases the likelihood of them by increasing volatility. Not unlike any other type of sea-change in business operations and cost-drivers. But AI does it faster and across a wider swath of industries.

The Middle Market Will Feel It First

Large enterprises can absorb transition. They can invest heavily, acquire capabilities, and withstand short-term margin pressure.

Small firms without leverage can pivot quickly.

The middle market often sits in between. Moderate leverage. Meaningful overhead. Limited access to incremental capital.

If AI compresses pricing or increases competitive intensity in that segment, there is less margin for error.

A delayed pivot becomes a balance sheet problem.

Investment Risk Cuts Both Ways

Avoiding obsolescence requires investment. Data infrastructure. Integration. Security. Training. Process redesign.

Those investments may be necessary. They also consume a lot of cash.

If expected gains arrive slower than planned, liquidity tightens at the same time competitive pressure increases.

A company can be strategically correct and financially distressed simultaneously.

Courts see that combination frequently.

Speed Changes the Equation

All AI does in this cycle of failure is reduce the time between mistake and consequence.

Competitors can iterate faster. Customers can compare options instantly. Barriers to entry shrink.

In slower cycles, underperformance could be corrected over time. In faster cycles, market share can erode before corrective measures take effect.

When deterioration accelerates, lenders respond accordingly.

Confidence is fragile. Once it fades, capital becomes more expensive or unavailable.

That is when formal restructuring becomes necessary.

The Pattern We Will See

AI will not produce a single dramatic collapse. It will create a series of quieter failures (and, not without irony, many of them will be from AI players as that industry consolidates and the strong eat the weak.)

Margin compression cases where pricing falls but volume remains.

Refinancing failures where capital markets no longer support optimistic projections.

Transformation stress cases where investment outpaces return.

Category replacement cases where demand itself shifts.

None of these require panic. They require misalignment between revenue durability and financial obligations.

The Core Issue

AI will not cause bankruptcies because it is revolutionary.

It will cause bankruptcies because many capital structures assume stability.

When cost curves move and markets reprice, companies with thin margins and fixed obligations have limited room to adapt.

Some will adjust early and strengthen their position.

Others will discover that their balance sheets were built for a slower, more analog world.

In that environment, structure determines outcome.

AI is not a feature.

It is a cost curve shift.

And cost curve shifts have consequences.