Santander Counts €194 Million From AI as Earnings Season Puts Numbers on the Hype

Santander said Wednesday that its artificial intelligence initiatives generated €194 million ($216 million) in business value during the first nine months of 2026 — one of the first times a major global bank has attached a hard figure to AI's contribution in an earnings context. The disclosure arrives as third-quarter earnings season gets underway and investors shift their question from whether companies are deploying AI to whether the technology is producing measurable returns.

The stakes behind that question are enormous. Corporate AI investment reached $581.7 billion in 2025, up 130% from the previous year, according to the Stanford HAI 2026 AI Index report. At the infrastructure layer, hyperscalers — Microsoft, Amazon, Google and Meta — are expected to spend a combined $700 billion this year on AI-related capacity, per the same wave of earnings commentary. Those figures explain why investors are now demanding proof: money at this scale cannot be justified indefinitely by narrative alone.

What did Santander actually report?

The Spanish banking group's €194 million figure covers business value from AI initiatives across the first nine months of 2026. Chief Financial Officer José García Cantera framed the number in an interview with CNBC as the point where attribution becomes possible.

"This affects both revenue and costs, so we are actually in the quarter where we can actually link directly to AI a positive contribution," Cantera said.

He described a dual mechanism: AI reduces low-value tasks inside the bank, freeing employees to concentrate on higher-value work. That shift touches both sides of the income statement, which is why Santander can now point to a direct positive contribution rather than a diffuse efficiency story.

Cantera also acknowledged the measurement problem that haunts every AI-attribution claim. "AI is being embedded in all the processes that we are conducting at the bank, so it's really difficult to just say how much comes from AI, but clearly AI is improving the quality of our services to clients," he said.

That caveat matters. When a technology permeates every workflow, isolating its marginal contribution becomes an accounting exercise as much as a technical one. Santander's willingness to publish a number anyway — while flagging the difficulty — sets a template other large incumbents may follow.

How is AI showing up at Novartis?

Swiss pharmaceutical giant Novartis offers a second data point, this time without a quantified AI figure attached. The company reported third-quarter core operating income of $6.04 billion, up 10% year-on-year at constant currencies. Management did not break out how much of that growth came from AI, but CEO Vas Narasimhan drew a direct line between the technology and the bottom line.

"I think this is the first quarter I've really seen AI start to improve actually our P&L on a tangible basis," Narasimhan told CNBC.

He identified two functional areas where the effect is concentrated. In marketing and sales, Narasimhan said productivity gains from AI tools were already visible in the quarter's bottom-line performance. In research and development, the work is earlier stage.

"We're working on R&D [research & development] to see if it can really increase R&D productivity," he said on "Squawk Box Europe" on Tuesday.

For a pharma company, R&D productivity is where AI's long-term value would compound most — drug discovery and clinical development are the industry's largest cost centers. Narasimhan's framing suggests marketing and sales delivered first, while the bigger prize remains under construction.

What is Standard Chartered seeing?

Standard Chartered reported third-quarter operating income growth of 14% at constant currency, excluding notable items. Chief Financial Officer Manus Costello, speaking on "Squawk Box Europe" on Wednesday, said AI is now "appear everywhere across the business" — a phrase that captures both the reach and the attribution problem.

"I think you can see it in the top line growth that we're delivering, and you can see it in that operating leverage that I talked about," Costello said.

Operating leverage — income growing faster than costs — is the financial signature investors look for when a technology scales efficiently. Costello made the causal link explicit.

"We're also seeing that strong operating leverage that I talked about, where income is growing much faster than costs, and some of that is because we've been able to deploy AI tools to improve core processes and enable us to scale those up very efficiently," he said.

He added that AI is helping managers deepen customer relationships and generate more income, tying the technology to relationship-driven revenue rather than pure cost cutting.

Where does Carlsberg stand?

Not every company can claim scaled benefits. Carlsberg CEO Jacob Aarup-Andersen said on "Squawk Box Europe" this week that the brewer is not yet seeing AI benefits at scale. The technology has, however, touched a broad set of internal functions: cost efficiency, commercial and pricing processes, marketing, and the supply chain.

The company's revenue grew 4.9% in the third quarter. Aarup-Andersen's candor offers a useful counterweight to the enthusiasm elsewhere. For consumer-facing businesses with physical supply chains, AI gains tend to arrive as incremental process improvements long before they reshape financial statements.

What did Big Tech report?

The technology giants that supply the infrastructure are also reporting their own AI-driven results.

Meta, in its October 21 earnings report, said its AI investments were delivering "substantial incremental advertising revenue." Total revenue jumped 26% in the quarter ended September 30. That figure gives weight to Meta's claim: advertising is the company's core monetization engine, and AI is now explicitly credited as a revenue driver within it.

Alphabet presented a more mixed picture. Google Search revenue growth slowed amid concerns about AI competition in the search market — a competitive threat that has weighed on investor sentiment for the segment. But Google Cloud told the other side of the story: revenue more than doubled to nearly $31 billion in the third quarter, Alphabet reported Wednesday. Cloud growth at that pace reflects enterprises renting AI compute capacity, which ties back to the $700 billion infrastructure spend and the corporate demand behind it.

Why this quarter matters

Taken together, these reports mark a transition in how AI is discussed in earnings season. Santander's €194 million, Novartis's $6.04 billion core operating income, Standard Chartered's 14% operating income growth, Meta's 26% revenue jump and Google Cloud's near-doubling to roughly $31 billion do not all carry the same evidentiary weight. Only Santander published a number explicitly attributed to AI. The others offer directionally positive signals from named executives.

But the direction is the story. After $581.7 billion of corporate investment in 2025 and a projected $700 billion hyperscaler outlay this year, the burden of proof has moved from deployment claims to income-statement evidence. The pattern emerging this quarter — quantified value at banks, tangible P&L effects in pharma, operating leverage at global lenders, and advertising and cloud upside at the platforms — suggests the next several quarters of earnings will determine whether AI's financial payoff scales beyond early adopters or stalls at the pilot stage.