Citrini Research modeled what happens if AI actually works as promised. The results are terrifying

2026-02-28 · Source: Artificial Intelligence · Field: Finance & Economics — Economic Analysis & Policy, Capital Markets & Investment Management, Corporate Finance & Treasury · Depth: Intermediate, medium

Summary

Citrini Research published a fictional "macro memo from 2028" outlining a scenario where advanced agentic coding tools, emerging in late 2025, lead to widespread economic disruption. The memo posits that these tools enable developers to replicate mid-market SaaS in weeks, driving enterprise software discounts of 30% or more and severely impacting long-tail SaaS. This cost-cutting, while rational for individual companies, mechanically destroys revenue for vendors like ServiceNow as clients reduce headcount and cancel licenses. The scenario details a cascade effect: intermediation collapse due to agent behavior, declining consumer spending driven by top earners, and eventual private credit defaults on PE-backed software deals. The core mechanism involves AI-driven productivity gains leading to job displacement, reduced consumer spending, and a weakening of consumer-facing companies, creating a self-accelerating loop without a natural brake.

Key takeaway

For CTOs and investors evaluating long-term strategy, this scenario highlights the critical need to stress-test your business model against rapid AI-driven disintermediation and cost compression. Your organization's rational adoption of AI for efficiency could inadvertently contribute to a broader market contraction, impacting revenue streams for SaaS providers and consumer-facing businesses. Consider the potential for a "race to the bottom" in pricing and the implications for recurring revenue models, especially in sectors reliant on human-driven consumption and brand loyalty.

Key insights

Rational individual AI adoption can lead to collectively catastrophic economic outcomes through cascading financial mechanics.

Principles

• Productivity gains can concentrate value.
• Intermediation collapses without brand loyalty.
• Cost-cutting can mechanically destroy revenue.

In practice

• Stress-test business assumptions against AI disruption.
• Evaluate in-house SaaS replacement for ancillary software.
• Monitor market devaluation of AI-vulnerable sectors.

Topics

• AI Economic Impact
• Agentic Coding Tools
• SaaS Market Disruption
• Workforce Displacement
• AI Value Capture

Best for: Entrepreneur, VP of Engineering/Data, Director of AI/ML, Investor, CTO, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.