Stock Markets March 13, 2026

Morgan Stanley Identifies Four Information Services Firms Best Shielded from AI Disruption

Bank highlights proprietary data, contributory networks and regulatory frictions as core defenses for S&P Global, MSCI, TransUnion and Equifax

By Hana Yamamoto SPGI MSCI TRU EFX
Morgan Stanley Identifies Four Information Services Firms Best Shielded from AI Disruption
SPGI MSCI TRU EFX

Morgan Stanley singled out four information services companies it believes are relatively insulated from competitive pressure driven by artificial intelligence. The bank emphasized firms with proprietary contributory data, entrenched index and ratings franchises, and regulated data networks as the strongest defenses. S&P Global, MSCI, TransUnion and Equifax each display varying degrees of protection across their product portfolios, with specific segments within those businesses noted as more or less exposed to AI-related threats.

Key Points

  • Morgan Stanley identifies S&P Global, MSCI, TransUnion and Equifax as information services companies with structural defenses against AI disruption, citing proprietary data, contributory networks and regulatory protections.
  • Core Index and Ratings franchises at S&P Global and MSCI are viewed as particularly resilient; certain non-core segments such as Cap IQ and pockets of MSCI’s ESG/Climate/Private Assets business show more exposure.
  • Contributory credit data and employer-sourced income/employment records at TransUnion and Equifax create high barriers to competition in a regulated environment, supporting medium-term financial objectives like TransUnion’s high-single-digit organic revenue growth target.

Morgan Stanley has pinpointed four information services companies that it considers well-positioned to withstand disruption from advances in artificial intelligence, highlighting the importance of proprietary data sets, contributory models and regulatory frictions in preserving competitive moats.

The investment bank’s analysis assesses firms whose business models include regulatory protections, contributory data networks and established market positions that together create structural barriers against AI-driven competition. Morgan Stanley assigned Overweight ratings to four names it views as best insulated from AI headwinds.


S&P Global Inc

Morgan Stanley sees AI risk as largely isolated across S&P Global’s portfolio. The firm regards the company’s Index and Ratings franchises as particularly resilient to AI-related threats. Within Market Intelligence, Credit & Risk Solutions is judged to be largely insulated as well, while Cap IQ is identified as the segment with the greatest vulnerability because it depends on third-party terminal data. Other businesses in the group - including Carfax in Mobility, Advisory, Upstream Data and certain Commodity Insights areas - display differing degrees of protection against AI-driven competition. Morgan Stanley’s upside case for S&P Global centers on the company’s overall product mix being predominantly insulated from AI risk, most notably its flagship Index and Ratings divisions.


MSCI

For MSCI, Morgan Stanley highlights limited risk to the company’s core Index business, citing factors such as high switching costs, the importance of brand and methodological advantages as key defenses. The bank notes that while recreating major market indexes like the S&P 500 has not historically been technologically difficult, recent AI advancements do not fundamentally change the competitive dynamics that protect MSCI’s index franchise. Morgan Stanley does identify targeted pockets of vulnerability within MSCI - specifically in ESG, Climate and Private Assets segments - but views these as lower growth components that are not central to the stock’s performance. MSCI recently reported fourth-quarter results with earnings and revenue ahead of analyst expectations and disclosed the acquisition of Compass Financial Technologies to bolster its index calculation capabilities.


TransUnion

TransUnion’s defensive attributes stem from a contributory model operating within a tightly regulated industry, according to Morgan Stanley. The firm underlines TransUnion’s highly proprietary contributory credit data alongside a substantial alternative data set that supplies insights into consumer behaviour. Contributory lending data - built from payment information provided directly by lenders to credit bureaus - forms a meaningful competitive moat that limits the threat of AI substitution. Recent corporate moves include the completion of an acquisition of a majority stake in Mexico’s consumer credit bureau, Trans Union de México. TransUnion also held an investor day where it set out medium-term financial targets that include high-single-digit organic revenue growth.


Equifax Inc

Equifax is highlighted for similar structural protections: a contributory data model reinforced by an employer network. Beyond proprietary contributory credit data, Equifax operates The Work Number - described as the only scaled income and employment database - which contains records on 105 million unique individuals and 209 million active records. That database is populated directly by employers and payroll processors, often through exclusive agreements, which Morgan Stanley views as an additional barrier to AI-driven competitive pressures. The investment bank notes the contributory lending data remains highly regulated and protected. In a recent executive move, Equifax appointed David Smith as President of its U.S. Information Solutions division.


Overall, Morgan Stanley’s sector review stresses that proprietary data assets, contributory inputs from regulated networks and entrenched market positions underpin the resilience of these four companies in the face of accelerating AI capabilities. While individual segments within each firm show varying exposure, the bank’s assessment emphasizes that core index, ratings and contributory credit franchises remain strong defensive anchors.

Risks

  • Cap IQ’s reliance on third-party terminal data creates a greater exposure to AI-related competitive pressure within S&P Global’s Market Intelligence portfolio - impacts sectors tied to market data terminals and professional workflows.
  • MSCI faces pockets of vulnerability in ESG, Climate and Private Assets segments, which the bank classifies as lower-growth portions of its business but nonetheless represent exposure within investment index and analytics markets.
  • The information services playing in contributory credit and employment data operate in highly regulated environments; regulatory dynamics and protections are central to these business models and create both constraints and sources of defensibility for the credit and employment data sectors.

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