Matt Day
Matt Day is a Bloomberg News technology reporter in Seattle, primarily covering Amazon and Microsoft. He previously reported for The Seattle Times, The Wall Street Journal, and Dow Jones.
Microsoft Plans Multi-Gigawatt Maia Deployment for Internal AI Workloads
Microsoft is moving its Maia chips into data centers as it seeks to run more of its AI workloads on homegrown hardware. Bloomberg reporter Matt Day said the company plans a multi-gigawatt deployment, with its third-generation Maia 300 beginning rollout in 2027, and expects internal services such as Copilot and GitHub to use the capacity. Microsoft’s case for the chips is that they can run some workloads more efficiently and reduce the cost of its data-center operations.
Nvidia Targets AI PCs With New Blackwell Chip and MediaTek CPU
Bloomberg Technology’s Caroline Hyde and Ed Ludlow framed Nvidia’s Computex announcements as an attempt to extend AI demand beyond the data center and into PCs, software and physical systems. The central case, led by Jensen Huang and assessed by Bloomberg reporters and analysts, is that Nvidia’s new RTX Spark chip and agentic-AI thesis could redraw parts of the PC and enterprise software markets, even as questions remain about performance, Arm’s history in PCs and the health of the broader hardware cycle.
AI Competition Shifts From Models to Chips, Power, and Supply Chains
Bloomberg Technology framed the latest AI race less as a contest over individual products than as a fight over infrastructure constraints, from Nvidia chip export politics and U.S. semiconductor labor to cloud spending, energy, memory and data-center capacity. Ed Ludlow, Caroline Hyde and Bloomberg reporters treated Donald Trump’s discussion of Nvidia’s H200 chips with Xi Jinping as emblematic of that shift: significant for markets, but short of any clear export deal. The program’s interviews with Goldman Sachs’ Eric Sheridan, OpenAI CFO Sarah Friar and Figma CEO Dylan Field similarly argued that compute, distribution and ownership of the stack are becoming the decisive limits on AI growth.