Hewlett Packard Enterprise Co. shares reached a record high Tuesday after the company raised its revenue growth outlook for the 2026 fiscal year.

The surge reflects the accelerating corporate transition toward artificial intelligence, as the company sees massive demand for the hardware required to power large-scale AI models.

HPE stock rose 36% [1] in after-hours trading following the announcement. The company updated its FY2026 revenue growth outlook to between 29% and 33% [2], a significant increase from its previous projection of 17% to 22% [3].

This growth is primarily driven by the boom in AI-fueled demand for servers and networking equipment. The company specifically raised its networking revenue growth outlook to 72% to 75% [4], compared to the previous forecast of 68% to 73% [5].

The record-breaking stock performance underscores the market's confidence in the company's ability to capitalize on the infrastructure needs of the AI era. The shift toward high-performance computing is driving a cycle of hardware upgrades across the U.S. stock market, and global enterprises.

Industry analysts point to the networking sector as a critical bottleneck for AI deployment. By increasing its outlook for networking revenue, HPE signals that it is successfully capturing a larger share of the market for the interconnects and switches that allow AI servers to communicate efficiently.

The company's updated guidance suggests that the demand for AI infrastructure is not merely a temporary spike but a sustained growth trend. This trajectory aligns with broader industry patterns where hardware providers are seeing unprecedented order backlogs as companies build out private AI clouds.

“HPE stock rose 36% in after-hours trading”

The significant upward revision of HPE's revenue guidance indicates that the AI infrastructure build-out is expanding beyond early adopters into a broader corporate phase. By specifically highlighting networking growth, HPE is positioning itself as a provider of the essential 'plumbing' for AI, suggesting that the market is now focusing on the scalability and connectivity of AI clusters rather than just the raw computing power of individual servers.