Nvidia’s Chief Financial Officer (CFO) Colette Kress has revealed that artificial intelligence (AI) is no longer a “nice-to-have” technology. She admitted that AI has become a necessity for businesses seeking productivity gains and highlighted the growing role of the technology in shaping demand for infrastructure, chips and software for the US-based chip giant.
During the company’s earnings call earlier this month, Kress said,
“AI is no longer a nice-to-have. AI is now a necessity for enhancing productivity across all industries and roles. This is propelling revenue acceleration across all layers of the AI stack, including energy, chips, infrastructure, models, and applications.”How Nvidia is changing its financial reporting structure
According to a report by Fortune, Kress also announced changes to Nvidia’s financial reporting structure. The company will now organise its operations into two primary segments: Data Center and Edge Computing.
The Data Center segment will be divided into Hyperscale, which includes sales to cloud and internet companies, and ACIE, covering AI cloud providers, industrial customers and enterprises building their own AI infrastructure.
Meanwhile, the Edge Computing segment will include products and technologies for PCs, gaming consoles, workstations, robotics, automotive systems, and AI-enabled cellular base stations.
“The chip landscape remains Nvidia’s world with everybody else paying rent as more sovereigns and enterprises wait in line for Nvidia’s chips,” Wedbush Securities analysts wrote in an investor note from the time of the earnings call, the report added.
How AI infrastructure demand is driving growth for Nvidia
Nvidia’s expansion from a semiconductor company into a major AI infrastructure supplier has been fueled by rising demand from cloud providers, enterprises, AI startups and governments building large-scale AI systems.
According to the company, hyperscale customers generated $38 billion in revenue during the quarter, accounting for about half of Nvidia’s Data Center business. Revenue from these customers grew 12% quarter over quarter.
Nvidia estimates that global spending on AI infrastructure could reach between $3 trillion and $4 trillion by the end of the decade as organisations continue investing in data centres and AI computing systems.
The company’s graphics processing units (GPUs) are widely used by major cloud providers, including Microsoft, Amazon, Google and Meta, as well as AI companies such as OpenAI.
“It’s gotten quite large, but the focus is on how do you think about the future and make sure we’re ready for it to scale? Some of the techniques and processes have to be transformed over time as the company scales,” she added.
Her comments came as Nvidia reported record quarterly results for the period ended April 2026. The company posted revenue of $81.6 billion, up 20% from the previous quarter and 85% from a year earlier. Free cash flow increased to $49 billion from $35 billion in the prior quarter, while GAAP gross margin stood at 74.9% for the company.
Kress joined Nvidia in 2013 after holding senior finance roles at Cisco and Microsoft. Reflecting on Nvidia’s growth, she told Fortune in 2022 that the company was the smallest organisation she had worked for when she joined.