CE & the Zombie SaaS
There was a time when intelligence was scarce in the economic sense.
If you wanted a marketing strategy, you hired a strategist. If you wanted distributed systems, you hired engineers. If you wanted legal reasoning, you paid billable hours.
The bottleneck was cognitive execution. And bottlenecks are where margin lives.
Today, tokens are cheap.
We are entering what I call Cognitive Easing (CE) — a regime where the marginal cost of generating thought collapses in the same way the marginal cost of capital collapsed under Zero Interest Rate Policy (ZIRP).
ZIRP printed money. Cognitive Easing prints thought.
From ZIRP to CE
Under ZIRP:
- The cost of capital approached zero.
- Refinancing replaced restructuring.
- Weak firms survived longer than they should have.
- Asset prices inflated.
- Productivity growth stalled.
Under Cognitive Easing:
- The cost of cognition approaches zero.
- Feature generation becomes cheaper than differentiation.
- SaaS wrappers proliferate.
- Venture patience replaces organic demand.
- Product-market fit blurs into demo-market fit.
The mechanism is the same. Abundance removes discipline.
When the price of something collapses, allocation distorts.
The Marginal Cost Collapse
Modern model pricing makes this concrete.
For a few dollars per million tokens, entire documents, feature scaffolds, marketing campaigns, API clients, and even framework-level clones can be generated at scale.
Prototype cost becomes trivial. Code scaffolding becomes trivial. Pitch decks become trivial. Competitive cloning becomes trivial.
The barrier to creation collapses.
The barrier to demand does not.
That asymmetry is the distortion engine.
The Printing Press Is Physical
Cognitive Easing feels virtual, but it rests on physical infrastructure.
Hyperscalers are deploying hundreds of billions into AI infrastructure — data centers, GPUs, energy contracts, cooling systems. Compute is thermodynamic.
The cost of thought may fall for developers, but someone is funding the printing press.
That funding — through capex, cloud credits, and platform subsidies — reinforces the regime. Cheap cognition persists long enough to distort capital allocation.
Zombie SaaS
A Zombie SaaS in the CE era has recognizable traits:
- Revenue-light.
- Burn-dependent.
- AI-wrapped but not AI-differentiated.
- Sustained by capital availability, not demand elasticity.
It survives because:
- Tokens are cheap.
- Demos are impressive.
- Investors fear missing the AI wave.
- Operating costs are structurally low.
Not because customers cannot live without it.
This is not fraud. It is a rational response to cheap cognition.
Under ZIRP, weak firms rolled debt. Under CE, weak firms roll tokens and narrative.
Derivative Velocity
Cognitive Easing does more than reduce cost. It reduces latency.
The time between:
- Idea → Clone
- OSS release → Wrapper
- Framework → Competitor
- Documentation → Repackaged platform
collapses from years to weeks.
Innovation depends on two variables:
- Exploration cost.
- Imitation lag.
When imitation lag collapses, differentiation cannot compound.
This shifts the ecosystem from creative destruction to creative suffocation.
Original builders release something new. Clones appear instantly. UX patterns are mirrored. APIs are replicated. Entire frameworks are recreated from documentation.
The zombies do not out-innovate. They out-replicate.
Brain Drain Without Hiring
Zombie firms do not need your engineers.
They drain attention instead.
- Developer mindshare fragments.
- Open-source maintainers face AI-enhanced clones.
- Community energy disperses.
- Narrative dilutes.
Original ingenuity cannot accumulate rent long enough to fund deeper ingenuity.
Cheap cognition taxes foundational innovation.
Real Ingenuity Is Still Hard
Prompting an AI to generate genuine novelty is often harder than writing the original idea.
AI excels at recombination. It extends patterns. It produces surface variation.
It struggles with frontier abstraction. It struggles with constraint invention. It struggles with first-principles exploration under ambiguity.
Original insight still requires internal simulation depth. It requires long-horizon modeling. It requires tolerating uncertainty without premature convergence.
Cheap cognition does not equal cheap ingenuity.
The combinatorial math behind this constraint is explored in detail here: Zenodo archive
The Cognitive Asset Misallocation Cycle
The cycle is predictable:
- Token costs fall.
- AI startups multiply.
- Capital chases narrative.
- Differentiation narrows.
- Margins compress.
- Weak firms survive because operating costs are low.
- Market saturation increases.
- Returns decline.
The system looks dynamic.
It is structurally diluted.
Cognitive Easing does not cause immediate collapse. It produces stagnation masked as acceleration.
Accumulating Cognitive Debt
This creates layered debts:
Understanding Debt: surface capability masking missing constraint depth.
Social Debt: AI-Driven Labor Compression. AI vs. AI Signal Collapse.
Novelty Debt: reskin mistaken for novelty.
Legal Debt: blurred provenance and enforcement lag in derivative systems.
Demand Debt: supply expanding in a market where users are cognitively tapped and incremental value no longer commands incremental payment.
Collectively, these debts create an economic mismatch.
They surface in only two ways: write-downs or bankruptcies.
What Survives
If cognition is abundant, scarcity migrates.
Value concentrates in:
- Proprietary data.
- Distribution control.
- Physical infrastructure.
- Regulatory access.
- Brand trust.
- Humans willing to bear liability.
Moats move from intelligence to position.
The Discipline Question
ZIRP postponed creative destruction.
Cognitive Easing postpones cognitive discipline.
As long as tokens are cheap and capital remains patient, Zombie SaaS will persist.
Eventually, either demand asserts itself or capital tightens.
Creative destruction delayed becomes creative destruction amplified.
Cognitive Easing does not eliminate scarcity.
It hides where scarcity moved.