AI and the Economic Bottleneck: What Remains Scarce

Overview

As artificial intelligence rapidly evolves, a critical economic question is emerging: what remains scarce when AI begins to handle the user interface? While many businesses fear that AI will render their software obsolete, analysts are finding that the true economic bottleneck may not be the application layer, but the underlying data and infrastructure that fuel it.

Companies like Experian and RELX are demonstrating that while AI agents can change how services are delivered, they still rely heavily on proprietary, hard-to-replicate datasets. This insight is reshaping investment theses, as investors look for businesses where the value sits beneath the interface rather than within it.

"A business can survive AI without preserving its economics. The more important question is whether AI makes the scarce part of what it sells less scarce."

This shift in perspective explains why some tech giants are seeing their valuations de-rated despite strong revenue growth. The market is increasingly rewarding companies that own the scarce inputs—credit histories, legal records, and verified identity data—rather than those that merely provide the tools for creating or editing content.

The Data Moat: Experian and RELX

Two companies stand out as prime examples of businesses where AI changes the interface but does not diminish the scarcity of the core asset: Experian and RELX. In both cases, the valuable component sits underneath the user-facing technology, making it significantly harder for AI to bypass.

Experian’s Enduring Relevance

Experian provides credit histories, identity data, and fraud signals—assets that are essential for banking and financial services. While an AI agent can certainly alter how a bank makes a credit decision by processing information more efficiently, it still requires access to Experian’s vast database to function accurately.

The financial results support this view. For fiscal year 2026, Experian reported organic revenue growth of 8% and Benchmark EPS growth of 15%. These figures indicate that the market still values the underlying data regardless of how the interface evolves.

The key takeaway is that the interface can change quite dramatically, but Experian’s underlying data remains valuable. As long as financial institutions need reliable credit and identity information, Experian’s economic moat remains intact.

RELX’s Legal and Scientific Foundation

Similarly, RELX operates in the legal and scientific information sectors. Lawyers and researchers may increasingly rely on AI agents to draft documents or analyze case law, but those agents still need access to RELX’s reliable and curated legal, scientific, and risk information.

In the first half of 2026, RELX grew its underlying revenue by 7% and operating profit by 9%. This performance reinforces the idea that AI acts as a conduit for accessing existing knowledge bases rather than a replacement for the knowledge itself.

Both Experian and RELX illustrate that AI’s impact on the interface does not necessarily erode the economics of the business. The scarcity lies in the data, not the delivery mechanism.

The Interface Problem: Intuit and Adobe

Not all companies are benefiting from the same dynamic. Intuit and Adobe face more complex challenges as AI begins to automate tasks that were previously performed through their software interfaces.

Intuit’s Workflow Shift

Intuit, the creator of QuickBooks, owns a significant amount of accounting history and sits at the center of important small business workflows. Last year, its Online Ecosystem revenue grew by 19%, and QuickBooks Online Accounting revenue surged by 23%.

However, the threat here is more nuanced. It is plausible that a small business owner might barely open QuickBooks anymore, with an AI agent handling much of the accounting work in the background. In this scenario, the interface becomes less relevant, but the underlying transactions—payments, payroll, and taxes—become the real bottlenecks.

If AI can fully automate the accounting layer, Intuit’s value may shift from software subscriptions to transaction fees. Whether this transition preserves margins and growth rates remains an open question.

Adobe’s Vulnerability

Adobe presents a less compelling case under this framework. Although Q3 revenue was up 13%, AI attacks something much closer to what Adobe has historically monetized: creating and editing content through its tools.

Adobe still holds strong assets in PDF, Acrobat, and distribution channels. However, when AI can generate images, edit videos, and design layouts, the scarcity of the creation tool diminishes. The company retains its ecosystem, but the unique value proposition of its creative suite is being undermined by AI capabilities that replicate or exceed human-driven editing.

This explains why Adobe’s valuation may face pressure despite solid top-line growth. The market perceives that the core product—content creation—is becoming less scarce in an AI-driven world.

Valuation Stagnation vs. Structural Shifts

Investors have also examined firms like MSCI and S&P Global, but these cases offer less clarity regarding a current dislocation. Both companies had experienced enormous appreciation before their recent stagnation.

For instance, a $100 investment in MSCI at the end of 2016 was worth roughly $819 by the end of 2021, while S&P Global reached about $460 over the same period. The recent stagnation in their stock prices may simply reflect businesses growing into valuations that had already moved far ahead of their fundamentals, rather than a direct impact from AI disruption.

This distinction is crucial. While MSCI and S&P Global face typical valuation mean-reversion, the debatable cases are those where AI actively threatens the scarcity of the core offering.

Conclusion

The central question for investors and analysts is now: if AI changes the interface, what is still scarce—and who still gets paid?

The analysis points to a clear divergence. Companies like Experian and RELX, which own the essential data layers beneath the interface, appear well-positioned. Their underlying assets remain scarce even as AI agents take over user interactions.

In contrast, companies like Adobe, whose core value lies in content creation tools, face greater risk as AI commoditizes those skills. Intuit occupies a middle ground, where the shift from interface to transaction-based revenue could redefine its economics.

As AI continues to mature, the market will likely reward those who control the scarce inputs—data, identity, and verified information—while questioning the longevity of businesses built primarily on software interfaces.