
What happened
CFO Eric Aboaf said customers using model context protocol connectors reached 500, and API and large-language-model data usage rose fivefold in each of the past two quarters.
Why it matters
That adoption is framed as an accelerant to growth, with the company keeping controls over its proprietary data while pursuing scale and margin expansion.
What to watch
The roughly $500 million in data-operations costs is a target, not a realized saving, so the plan hinges on whether it can be cut by 20%; the test is whether companywide margins expand by approximately 50 to 75 basis points annually.
WHO IT HITSThis matters most to investors and analysts tracking S&P Global's growth and margins, and to enterprise data and research teams that buy its ratings, market data and benchmarks.
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S&P Global's CFO, Eric Aboaf, used a Barclays conference appearance to frame the company's current phase as one of commercial integration and AI adoption across its Market Intelligence, Ratings, Indices and Energy businesses. Aboaf, who joined about a year and a half ago after two decades in banking, said his focus has been on improving visibility into sales pipelines, customer segments and product offerings. Part of that push is a chief commercial officer organization, credited to the management team led by Martina Cheung, that concentrates on 130 customers representing roughly the top third of the company's revenue base, aiming to bring ratings, market data, benchmarks and energy offerings together for senior client discussions.
The AI data points are notable for their shape: customers using model context protocol connectors reached 500, while data usage through APIs and large-language-model calls increased fivefold in each of the past two quarters. That is the kind of usage pattern that can support the company's view of AI as an accelerant rather than a threat, though S&P Global also says it plans to preserve controls over its proprietary data. On the cost side, the company sees potential to reduce roughly $500 million in data-operations costs by 20%, and expects companywide margins to expand by approximately 50 to 75 basis points annually while continuing to invest in growth.
On the business outlook, Aboaf addressed market speculation about Capital IQ Pro by saying S&P Global does not comment on "unwarranted rumors," and pointed instead to Market Intelligence, where first-half revenue growth exceeded 6% and sits within the full-year guidance range of 5.5% to 7%. Ratings billed issuance growth expectations improved to the mid- to high-single digits, and Energy revenue is expected to grow 4.5% to 6% this year, with a return to the 6% to 8% medium-term target anticipated next year. The stakes appear to hinge on whether that AI-linked usage and the productivity targets translate into the projected margin expansion rather than being offset by continued investment.
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