“AI is no longer a nice-to-have. AI is now a necessity for enhancing productivity across all industries and roles,” Kress said on Nvidia’s May 20 earnings call. “This is propelling revenue acceleration across all layers of the AI stack, including energy, chips, infrastructure, models, and applications.”
Nvidia projects global AI infrastructure spending could reach $3 trillion to $4 trillion by the end of the decade, driven primarily by hyperscalers, AI companies, enterprises, and governments building large-scale AI systems and data centers.
“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 a May 20 investor note.
Kress also unveiled a new reporting structure. Nvidia will now split its business into two segments: Data Center and Edge Computing. Data Center is further broken into Hyperscale—sales to cloud giants and major internet companies—and ACIE, which captures AI cloud providers, industrial customers, and enterprises building their own AI infrastructure. Edge Computing covers PCs, gaming consoles, workstations, robotics, cars, and AI-powered cellular base stations.
Kress is steering Nvidia’s finances through one of the most consequential growth periods in corporate history.
