Bold claim first: the quiet market drama around Relx highlights a big truth about AI investing that many overlook—the best value may come from backing a durable, information-rich business and letting its profits compound, not from chasing every shiny new AI gadget. But here’s where it gets controversial: the AI hype could erode Relx’s moat if the market suddenly doubts how far AI will impact its high-margin, proprietary data and workflow tools.
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The FTSE 100 has been near all-time highs, yet one corner of the market quietly dropped: Relx, a major information services group, was hit by what the press dubbed the “Claude crash.” This name comes from Anthropic’s Claude AI plug-ins for its Claude Cowork office assistant, which spurred fear and selling in shares of data-focused firms.
Relx, formerly Reed Elsevier, is a long-established player with brands like The Lancet and LexisNexis. Its official description—“a global provider of information-based analytics and decision tools for professional and business customers”—doesn’t sound flashy, but its stock performance has been remarkable: £5 in 2012 to about £41 in May 2025, lifting Relx to around a £70 billion market value as a top-five FTSE 100 company.
Since Claude’s plug-ins entered the picture, Relx’s share price has fallen sharply, wiping out a lot of its prior gains. The market shifted from viewing Relx as an AI-enabled winner to worrying that its hefty 34% profit margin could shrink if AI-disruption accelerates.
Relx’s own view, expressed in its full-year results, remains confident. The company posted 7% revenue growth to £9.6 billion and 9% operating profit growth to £3.3 billion, signaled expectations of continued strong growth in 2026, raised the dividend by 7%, and announced a larger share buyback of £2.25 billion.
CEO Erik Engström argued that AI evolution would stay a major driver of customer value and growth for years. Relx doesn’t see AI as a brand-new product category; its recent releases are primarily workflow tools that help store, sort, and review documents for specific projects. Relx’s core business focuses on comprehensive, reliable information that lawyers, scientists, insurers, and City professionals rely on in judgment-making.
The data Relx handles can be public, previously public, or restricted by licensing or proprietary rights. It also includes judgments, inferences, and interpretations accumulated over decades. AI can enhance access and usability of this value-added material, either by augmenting it or simply making it easier for customers to use.
Relx emphasizes strategic flexibility: it can license AI tools selectively and continue to deploy its own workflow products while protecting its proprietary databases—the source of its economic moat.
The market’s modest rebound in Relx shares (about 2%) suggests some relief, but investors remain wary about the AI trajectory and whether Relx’s competitive advantages are as deep as some analysts claim. Uncertainty about the unknown often fuels fear in sectors tied to data and AI.
A straightforward tactical move: if management genuinely believes long-term growth is secure, and if current prices allow, continuing buybacks could be prudent. Relx’s £2.25 billion buyback for the year represents roughly 6% of the company’s equity base. If sustained over several years, this could meaningfully lift earnings per share, provided the underlying business remains solid.
The situation mirrors similar debates at other big data and analytics firms, such as LSEG (London Stock Exchange Group). Activist investors like Elliott Management have floated larger buybacks as a path to unlock value when AI concerns weigh on sentiment. If leadership truly has confidence in durable growth, increasing buybacks is a credible strategy.
Important takeaway: the key question isn’t whether Relx uses AI, but whether its core, hard-to-replicate information assets and judgment-based services can sustain a high-margin business in the face of evolving AI tools. Do you think Relx’s moat is strong enough to weather AI-driven disruption, or is it at risk of erosion as technology evolves?
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