S&P will grade banks on their AI consumption

S&P's ratings arm says bank AI use will increasingly move credit ratings. A day earlier, its CFO priced the other side: AI-driven usage of S&P data up fivefold in each of the past two quarters, under pricing he expects to shift toward usage-based.

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Vincent JiangVincent Jiang · 2 min read
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Looking up the concrete and glass facade of 55 Water Street in Lower Manhattan, S&P Global's headquarters.
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S&P Global's headquarters at 55 Water Street in Lower Manhattan. Its ratings arm says bank AI use will increasingly affect credit ratings; its CFO says AI is driving fivefold quarterly growth in usage of its data.

Banks got two messages from S&P Global this month. On 21 September, its ratings arm said lenders' use of artificial intelligence will increasingly affect their credit ratings, with winners and losers determined by the maturity of their AI strategies and the strength of their governance frameworks 1.

A day earlier, Chief Financial Officer Eric Aboaf told a Barclays conference what that adoption is doing to S&P's own pipes: usage of its data through APIs and large-language-model calls grew fivefold in each of the past two quarters 2.

The referee sells the habit it grades

The report draws on a June survey of 179 finance firms: 84% already use AI in support functions, fewer than a third use it to build products, and expected cost savings run to 4% this year, rising to 6% to 8% by 2028 5. Adoption alone will not move the grade, said Miriam Fernandez, S&P's AI research and adoption lead; what matters is whether banks convert the savings into durable profitability with sound risk management 5.

On the data side of the same firm, 500 customers now pull S&P feeds through model context protocol connectors, up 50% in a quarter 2. Aboaf expects pricing to evolve from value-based toward usage-based, with the data paywalled and barred from model training 2. S&P does not say banks are among the 500; to the extent they are, banks meet S&P twice on AI: once at the meter, once at the grade.

The same adoption is margin machinery

First-half margins widened in every division, and Ratings, the division that will grade bank AI, widened most 2. S&P sees a path to cutting about 20% of a roughly $500 million data-operations cost base, and targets 50 to 75 basis points of companywide margin expansion a year 2.

Ratings led first-half margin expansion across S&P's divisions

0 bps50 bps100 bps150 bps200 bpsRatingsMarket IntelligenceIndicesEnergy75 bpsthe arm about to grade bank AI
Data
First-half 2026 margin expansion
Ratings200 bps
Market Intelligence100 bps
Indices75 bps
Energy75 bps
Basis points of margin expansion by division in the first half of 2026, as stated by CFO Eric Aboaf at a Barclays conference on 20 September 2026. Figures are floors: more than 200 for Ratings, more than 100 for Market Intelligence, 75 or more for Indices and Energy.2

The data also defends itself: an OpenAI study released the week before the conference found error rates in ChatGPT's financial-services answers below 3% when they drew on S&P data, against roughly 6.5% for its nearest competitor 2. Aboaf calls AI an accelerant, not an immediate revenue line 2.

Immaterial deals, unless you count the plumbing

OpenZeppelin, whose open-source contracts sit behind more than $37 trillion in transferred value, went for a price S&P will not disclose and calls immaterial to results 37, and the stock slipped 0.44% on the news 8. Three days earlier, S&P led a $110 million extension of data firm Kaiko's Series B 6, having already rated the DeFi protocol Sky and licensed the S&P 500 for tokenized products 4.

Watch the pricing shift, and the first rating action that cites AI governance. The referee now meters the habit it grades.

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