Speaking at the Fortune Brainstorm AI event in San Francisco on Monday, he pointed out that the company—a key enabler in the AI infrastructure landscape—has been working on AI since well before large language models came along and took the long view.

“We also knew that the the most problematic thing that was going to happen was going to be energy, because energy and data centers were going to become a bottleneck alongside chips,” Kurian told Fortune’sAndrew Nusca. “So we designed our machines to be super efficient.”

The International Energy Agency has estimated that some AI-focused data centers consume as much electricity as 100,000 homes, and some of the largest facilities under construction could even use 20 times that amount.

At the same time, worldwide data center capacity will increase by 46% over the next two years, equivalent to a jump of almost 21,000 megawatts, according to real estate consultancy Knight Frank.  

At the Brainstorm event, Kurian laid out Google Cloud’s three-pronged approach to ensuring that there will be enough energy to meet all that demand.

First, the company seeks to be as diversified as possible in the kinds of energy that power AI computation. While many people say any form of energy can be used, that’s actually not true, he said.

“If you’re running a cluster for training and you bring it up and you start running a training job, the spike that you have with that computation draws so much energy that you can’t handle that from some forms of energy production,” Kurian explained.

The second part of Google Cloud’s strategy is being as efficient as possible, including how it reuses energy within data centers, he added.

In fact, the company uses AI in its control systems to monitor thermodynamic exchanges necessary in harnessing the energy that has already been brought into data centers.

And third, Google Cloud is working on “some new fundamental technologies to actually create energy in new forms,” Kurian said without elaborating further.

Earlier on Monday, utility company NextEra Energy and Google Cloud said they are expanding their partnership and will develop new U.S. data center campuses that will include with new power plants as well.

Tech leaders have warned that energy supply is critical to AI development alongside innovations in chips and improved language models.

The ability to build data centers is another potential chokepoint as well. Nvidia CEO Jensen Huang recently pointed out China’s advantage on that front compared to the U.S.

“If you want to build a data center here in the United States, from breaking ground to standing up an AI supercomputer is probably about three years,” he said at the Center for Strategic and International Studies in late November. “They can build a hospital in a weekend.”

The Purchase, New York-based company, which makes Cheetos, Tostitos and other Frito-Lay products as well as beverages, said it will cut nearly 20% of its product offerings by early next year. PepsiCo said it will use the savings to invest in marketing and improved value for consumers. It didn’t disclose which products or how much it would cut prices.

PepsiCo said it also plans to accelerate the introduction of new offerings with simpler and more functional ingredients, including Doritos Protein and Simply NKD Cheetos and Doritos, which contain no artificial flavors or colors. The company also recently introduced a prebiotic version of its signature cola.

PepsiCo is making the changes after prodding from Elliott Investment Management, which took a $4 billion stake in the company in September. In a letter to PepsiCo’s board, Elliott said the company is being hurt by a lack of strategic clarity, decelerating growth and eroding profitability in its North American food and beverage businesses.

In a joint statement with PepsiCo Monday, Elliott Partner Marc Steinberg said the firm is confident that PepsiCo can create value for shareholders as it executes on its new plan.

“We appreciate our collaborative engagement with PepsiCo’s management team and the urgency they have demonstrated,” Steinberg said. “We believe the plan announced today to invest in affordability, accelerate innovation and aggressively reduce costs will drive greater revenue and profit growth.”

Elliott said it plans to continue working closely with the company.

PepsiCo shares were flat in after-hours trading Monday.

PepsiCo said it expects organic revenue to grow between 2% and 4% in 2026. The company’s organic revenue rose 1.5%. the first nine months of this year.

PepsiCo also said it plans to review its supply chain and continue to make changes to its board, with a focus on global leaders who can help it reach its growth and profitability goals.

“We feel encouraged about the actions and initiatives we are implementing with urgency to improve both marketplace and financial performance,” PepsiCo Chairman and CEO Ramon Laguarta said in a statement.

PepsiCo said in February that years of double-digit price increases and changing customer preferences have weakened demand for its drinks and snacks. In July, the company said it was trying to combat perceptions that its products are too expensive by expanding distribution of value brands like Chester’s and Santitas.

Truell said the company had already automated roughly 80% of its customer support tickets with the help of the technology. He said the company had also implemented an internal AI-powered communication system that allows employees to query information across the organization. “We’ve actually done a lot of work internally on customizing that setup,” he said.

Cursor also uses AI for internal communications, he said. “We have a system where folks can ask any question about the company and get it answered by an AI,” Truell said, as well as an project with “a few forward deployed engineers internally embedded throughout, building custom tooling right now for operations, for sales and experimenting,” he said. 

Across the enterprise software landscape, some larger organizations are increasingly coming up against adoption challenges when attempting to integrate AI into workflows. 

Data silos—where information is trapped in disconnected systems—prevent AI tools from accessing the full context they need to be useful, and technical sprawl—the accumulation of disparate tools and platforms over years of growth— can create integration issues. Many organizations are finding they need more dedicated technical expertise to help tailor AI models to specific business needs.

Engineers are seeing productivity gains

Cursor, which is valued at $29.3 billion, said last month it had crossed $1 billion in annualized revenue and now has more than 300 employees. The company has seen rapid growth since it was founded by a team of four MIT graduates in 2022. The company’s AI coding tool, which first launched in 2023, has been popular with software who use it to help both generate and edit code. 

There has been some conflicting research about how helpful AI tools actually are for software engineering. A July 2025 study by the nonprofit research group METR found that experienced developers working on large, mature codebases actually took 19% longer to complete tasks when using AI tools such as Cursor and Claude, despite believing they had worked 20% faster. The researchers attributed the slowdown to time spent prompting AI, waiting for responses, and time reviewing generated code.

A recent study conducted by University of Chicago found that teams using Cursor’s AI coding assistant in large companies merged 39% more pull requests (PRs) compared to non-users. The research also showed that senior developers created more detailed plans before writing code and demonstrated greater skill working with AI agents.

“A lot of folks think that junior developers get the most out of AI,” Truell said. But “when these academics went in and looked at the data, it looked like senior engineers actually were more effective in using the tools and were accepting code at higher rates and were getting more value from that.”

Truell noted that this surprised him as well: “We want to dig into to understand exactly why that’s the case.”