Navigating the AI Wave: Investment Strategies for Information Services
Finance

Navigating the AI Wave: Investment Strategies for Information Services

authorBy David Rubenstein
DateMay 14, 2026
Read time3 min

The information services sector is currently experiencing a turbulent period, primarily driven by market apprehension surrounding the rapid advancements in generative and agentic artificial intelligence. This apprehension has led to a notable compression in valuation multiples for these companies, with many seeing declines exceeding 20% since mid-2025. Despite these market jitters, earnings per share (EPS) estimates for 2026 across the sector remain remarkably stable, suggesting that AI's disruptive influence has yet to significantly manifest in company revenues. This disparity between market sentiment and fundamental financial projections presents a fascinating landscape for investors. While some firms may face genuine threats from AI, others possess inherent strengths that could allow them to thrive. The core challenge for investors is to differentiate between those vulnerable to AI-driven substitution and those fortified by unique competitive advantages.

Insightful Investment Opportunities Amidst AI Transformation

In the dynamic realm of information services, artificial intelligence is reshaping market perceptions and creating distinct investment opportunities. Amidst widespread concerns regarding AI's potential to disrupt traditional data vendors and workflow solutions, certain companies demonstrate remarkable resilience. Notably, Thomson Reuters (TRI) stands out as a compelling 'buy' due to its exclusive access to proprietary data and deeply embedded regulatory integrations. These crucial attributes act as significant barriers to entry for AI-driven competitors, making TRI's offerings difficult to replicate through AI synthesis. This unique positioning reduces its substitution risk, fostering a more stable earnings outlook despite broader market anxieties. Conversely, Gartner, another prominent player in the information services space, is assigned a 'hold' recommendation. While Gartner provides valuable research and advisory services, its platforms are inherently more susceptible to disruption from advanced AI synthesis tools capable of generating comprehensive market insights. The ease with which AI can replicate or enhance Gartner's core offerings suggests a less secure competitive moat compared to Thomson Reuters. This nuanced view underscores the importance of evaluating each company's specific vulnerabilities and strengths against the backdrop of an evolving AI landscape, guiding investors towards strategic decisions that capitalize on emerging market dynamics.

The ongoing evolution of artificial intelligence compels us to rethink traditional investment paradigms within the information services sector. It highlights that not all disruption is created equal; some companies are inherently better positioned to adapt and even thrive in an AI-dominated future. For investors, this means moving beyond generalized fears and engaging in a meticulous analysis of each company's unique value proposition and competitive safeguards. The case of Thomson Reuters versus Gartner illustrates that exclusivity in data and robust regulatory integration can offer formidable protection against AI's disruptive capabilities, while more easily replicable services face greater challenges. This emphasizes the critical need for due diligence, urging us to seek out enterprises that possess enduring advantages that AI cannot readily undermine, thereby transforming potential threats into genuine opportunities for growth.

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