Companies report first tangible financial gains from AI investments

From hype to hard numbers

The corporate landscape is shifting as companies move past the initial excitement of artificial intelligence to seek measurable financial returns. While the technology has been a major talking point for years, the latest earnings reports suggest that the payoff is finally appearing on balance sheets. Investors are now looking for specific evidence that the high costs of AI development are yielding actual profit.

Corporate investment in AI surged to $581.7 billion in 2025, which represents a 130% increase over the previous year. This massive spending is driven by a desire to boost efficiency and improve overall profitability across various industries. Large tech companies, known as hyperscalers, are expected to spend a combined $700 billion this year on infrastructure to support these goals.

As the third-quarter earnings season unfolds, several major corporations are beginning to provide concrete figures to back up their claims. These companies are attempting to prove that AI is not just a luxury tool but a core component of their business strategy. The focus is moving toward how these tools can reduce costs while simultaneously driving new revenue streams.

Banking and pharma see gains

In the banking sector, Santander has already quantified the impact of its AI initiatives. The Spanish giant reported that AI generated 194 million euros, or about $216 million, in business value during the first nine months of 2026. The bank is using these tools to automate low-value tasks, which allows its employees to focus on more complex and high-value work.

Santander's Chief Financial Officer, José García Cantera, noted that the technology affects both revenue and costs. He explained that while it is difficult to isolate every single cent from AI because it is embedded in so many processes, the quality of client services is clearly improving. This suggests that the bank is successfully integrating AI into its core operations to create a more efficient service model.

The pharmaceutical industry is seeing similar trends, with Novartis reporting a 10% year-on-year increase in core operating income for the third quarter. CEO Vas Narasimhan told CNBC that he is seeing AI start to improve the company's profit and loss statement on a tangible basis. The company is specifically looking at how AI can increase productivity in research and development as well as in marketing and sales.

Scaling and operating leverage

Standard Chartered is also reporting significant progress, with its chief financial officer noting that AI appears everywhere across the business. The bank saw its third-quarter operating income grow by 14% at constant currency. This growth is being attributed to better customer relationships and the ability to scale core processes more efficiently through AI tools.

A key takeaway from Standard Chartered's results is the concept of operating leverage. This occurs when a company's income grows much faster than its costs, which the bank says is happening because of AI deployment. By using these tools to automate and streamline internal processes, the bank can handle more volume without a corresponding increase in expenses.

However, not every company is seeing these benefits at a massive scale just yet. Carlsberg, the beverage company, reported that while AI has impacted internal processes and the supply chain, it has not yet reached a full scale of benefit. Their revenue grew 4.9% in the third quarter, showing that while the technology is being adopted, the full financial impact may take more time to materialize.

Big Tech's AI revenue

The technology giants that provide the underlying infrastructure for AI are also reporting gains from their investments. Meta reported that its AI efforts are delivering substantial incremental advertising revenue. This was reflected in a 26% jump in total revenue for the quarter ending September 30, showing a direct link between AI capabilities and advertising profits.

Google is seeing a different story across its various business units. While its core search revenue growth slowed due to competition from other AI models, its cloud division saw a massive surge. Google Cloud revenue more than doubled to nearly $31 billion in the third quarter, indicating a high demand for the computing power needed to run AI applications.

These results suggest that the AI economy is bifurcating into different types of success. Some companies are finding immediate ways to squeeze more profit out of existing products like ads, while others are seeing a massive boom in the infrastructure and cloud services that power the entire AI ecosystem. Both paths represent a significant shift toward making AI a primary driver of corporate growth.