TIME100AI List features more hardware leaders
TIME’s 2026 TIME100 AI list reflects a bigger focus on hardware manufacturing as a major focal point of the AI revolution. Included this year are leaders and innovators across all facets of the physical supply chain, including chips, advanced packaging, and memory, including:
- Andrew Feldman (CEO of Cerebras): Recognized for the Wafer-Scale Engine, which has become a formidable alternative to traditional GPU clusters from Nvidia – with the Cerebras CS-3 chip holding 4 trillion transistors and 900,000 AI-optimized cores carved from a single 300mm wafer (and a newly released CS-4 that stacks 3 upgraded WSE-3 Turbo chips into a single rack).
- He Tingbo (Director at Huawei): China’s “chip queen,” responsible for spearheading Huawei’s massive push into semiconductor architecture, scaling their Ascend AI hardware to compete directly with Western tech.
- Sanjay Mehrotra (CEO of Micron Technology): Recognized because Micron manufactures the HBM critical for next-generation AI servers.
- Hock Tan (CEO of Broadcom): Seen as somewhat of an “unsung giant” in the realm of AI hardware infrastructure, he’s recognized for custom ASICs and networking chips.
- Liang Mong-Song (Co-CEO of SMIC): Recognized for his role in pushing the boundaries of chip fabrication and advanced packaging under heavy geopolitical constraints.
- Deng Taihua (CEO of AgiBot): He sits at the intersection of hardware and robotics, honored for advancing humanoid robots meant to house future AI models.
These and other profiles in the current list demonstrate how important physical tech is, with data centers and custom AI chips increasingly considered as strategic national assets.
Susana Schwartz
Technology Editor
RCRTech
AI Infrastructure Top Stories
AI-RAN takes shape: Open and Cloud RAN are helping to virtualize and containerize functions that will move to the cloud, bringing spectral efficiency, automation and orchestration – key steps toward AI-native 6G networks.
Reader Forum – NETSCOUT: One in five incidents cost enterprises more than $1 million. As enterprise workloads transition to colocation facilities, end-to-end network observability can help IT teams see into the colocation provider’s network layers.
AI Today: What You Need to Know
AWS – Nvidia co-engineered AI: Amazon Web Services and NVIDIA will deploy 2 million additional NVIDIA GPUs across AWS’s global infrastructure, as well as extend NVIDIA NVLink Fusion with custom NVIDIA high‑bandwidth memory.
$700 million “Project Temple”: A once-empty field at 1855 Bob White Road in East Temple will house a $700 million, 300 MW data center campus on 700 acres, with the goal of being “water positive” (conserving or returning all of the facility’s water).
Digital Reality Switzerland campus: Digital Realty is expanding its data center campus in Switzerland with a state-of-the-art data center in Glattbrugg, Switzerland. ZUR4 will provide 15 MW of IT capacity across 6,300 m2 of space for AI workloads.
EdgeConneX twin data centers in TX: EdgeConneX filed two separate $700 million project applications to build twin 730,000-square-foot data centers in Cedar Creek, Texas. Construction is scheduled to break ground on September 1, 2026.
United Ally-Tech’s foray into AI: The Taiwanese auto parts maker completed R&D and customer validation for AI liquid cooling products and is mass producing and delivering stainless steel manifolds and liquid cooling components.
Graphite heat sink technology: Australian thermal management company GCM Corp. has nearly doubled its VHD heat sink lineup from 21 to 44 products, using specialized graphite instead of traditional metals like copper or aluminum.
RCR Events
Industry Resources
Report: NTN in motion — evolving standards, expanding services