NextFin News - Shares in the United Kingdom’s premier information and data providers suffered a volatile start to 2026, as investor anxiety over artificial intelligence disruption rippled through the London Stock Exchange. The £200 million Lindsell Train Investment Trust (LTI) reported on February 18, 2026, that its portfolio was significantly impacted by sharp declines in two of its cornerstone holdings: London Stock Exchange Group (LSEG) and RELX. During January and early February, LSEG shares fell by 9%, while RELX plummeted 15%, dragging down the trust’s overall performance and its stake in its parent asset manager, Lindsell Train Limited.
The primary catalyst for this market turbulence was a strategic product announcement from the AI developer Anthropic. According to The Armchair Trader, Anthropic’s launch of industry-specific applications for its Claude AI assistant heightened fears that general-purpose AI tools could soon replicate the high-value, specialized data services that have long been the moat for established providers. This thematic sell-off suggests a growing market consensus that the competitive advantages of traditional data giants may be eroding in the face of large language models (LLMs) capable of synthesizing legal, financial, and scientific information at a fraction of the cost of professional subscriptions.
The current predicament of Lindsell Train highlights a fundamental shift in how markets value "proprietary" information. For decades, companies like RELX have built their business models on the accumulation of vast, exclusive datasets—such as RELX’s archive of over 100 billion legal documents. However, the emergence of Anthropic’s specialized Claude iterations demonstrates that the value may be shifting from the data itself to the intelligence layer that processes it. If an AI can provide citable, accurate legal or financial advice by training on broader datasets, the premium paid for closed-loop subscription services becomes harder to justify.
Despite the share price erosion, fund managers at Lindsell Train, led by Nick Train, maintain that the market is overreacting to a perceived threat. They argue that the structural integrity of these businesses remains sound, pointing to LSEG’s 6% organic revenue growth and RELX’s 7% growth in the most recent fiscal year. The managers contend that AI developers like Anthropic are more likely to become partners than competitors, as LLMs require verified, high-fidelity data to avoid "hallucinations" and maintain professional standards. Indeed, several technology groups have already entered licensing agreements with incumbents to ensure their AI outputs remain reliable.
However, the data suggests a more complex trend. While reference data might remain defensible due to regulatory and legal barriers, the "workflow software" segment is under immediate siege. Anthropic’s new tools specifically target the automation of professional tasks—the very area where companies like RELX and LSEG have sought to expand their margins. If AI can handle the analysis and drafting traditionally performed within these companies' proprietary platforms, the "stickiness" of their ecosystems could weaken significantly. This explains why the market reaction was not company-specific but affected the entire information services universe.
Looking forward, the Lindsell Train Investment Trust faces a period of structural re-evaluation. While the trust’s managers rely on the historical resilience of their "enduring franchises," the speed of AI iteration at firms like Anthropic presents a non-linear threat. The 17% annual free cash flow compounding seen at LSEG since 2001 was achieved in a pre-generative AI era. As U.S. President Trump’s administration continues to push for rapid domestic AI development to maintain a competitive edge over global rivals, the regulatory environment may further favor disruptive AI entrants over legacy data gatekeepers.
The coming months will be a litmus test for the "moat" theory in the age of intelligence. If RELX and LSEG can successfully integrate generative AI to enhance their own offerings, they may emerge as the ultimate winners of the transition. But if Anthropic and its peers continue to commoditize professional knowledge, the concentrated portfolio of Lindsell Train may remain "in the firing line" of a broader technological paradigm shift that values algorithmic agility over static data accumulation.
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