AI Infrastructure

The company that makes the machines behind the world's most advanced chips just posted its strongest quarter on record, and its message to customers was blunt: even a faster buildout may not be enough to keep up with artificial intelligence demand.

The bill for the artificial intelligence buildout got more expensive on Wednesday, and investors noticed. Shares of debt-heavy AI infrastructure companies tumbled as the prospect of higher U.S. interest rates revived a basic question about the boom: how much return will all of this borrowed money actually produce?

For years, Nvidia's grip on China's data center AI chip market looked unshakeable. New figures from research firm IDC, reported by Reuters on October 13, show how quickly that position is eroding. Nvidia's share of the market fell to 34% in the first half of 2026, while Huawei climbed to 28% — close enough that the race for China's AI hardware business now looks genuinely competitive.

Microsoft has made its biggest move yet to run its artificial intelligence services on hardware of its own design. On Monday the company unveiled Maia 300, the third generation of its custom AI chip, and said it plans to deploy potentially more than a million of them starting next year in multi-gigawatt installations. Chief Executive Satya Nadella described the rollout as the company's biggest bet yet on its own silicon, and Azure executive Scott Guthrie said Maia is intended to become the primary system for running AI inference across Microsoft's products and services.

Broadcom chief executive Hock Tan thinks the AI boom's new limiting factor is not silicon. Speaking at a panel in Singapore on Monday, Tan said capital — not wafer or memory shortages — will be the biggest constraint on AI development as the industry pushes forward. The company, he said, is working through its wafer and memory shortages. The harder problem, increasingly, is paying for what comes next.

Chinese AI startup DeepSeek is closing in on one of the largest private financings in the history of the AI industry. Bloomberg reported this week that the company is set to raise at least 80 billion yuan — roughly $11.9 billion — with the final tally possibly reaching 100 billion yuan, as it builds a war chest ahead of a domestic initial public offering. Reuters confirmed the outline of the deal with a person familiar with the matter, though the agency noted it could not independently verify the figures and that DeepSeek, Tencent, and CATL did not respond to requests for comment.

The money funding America's AI buildout is increasingly coming from Europe.

Hyperscalers — the big cloud and AI companies behind the AI boom — have raised $48 billion in European-currency bonds so far this year, according to Apollo's Daily Spark note published this week. That is more than triple what they raised in all of 2025. The tally breaks down to €27 billion in euro-denominated bonds, £13 billion in sterling, and CHF 7.5 billion in Swiss francs.

CoreWeave built its reputation selling raw AI compute. Now it wants to sell the software layer on top of it. At its Fully Connected conference, the company unveiled CoreWeave Forge, a development platform that folds model serving, observability, post-training, and evaluation into a single environment — and it comes with a striking performance claim: a preview feature called RL Rollouts that improved model reload latency by 15x in testing.

The biggest AI scare of the week was not a model mishap — it was a spreadsheet. The Financial Times reported Thursday that OpenAI told prospective investors its annualized revenue run-rate was approaching $50 billion at the end of September, about $20 billion below the $70 billion figure that had been circulating among investors. AI infrastructure stocks slid on the news: Nvidia fell nearly 3%, Oracle shed close to 6%, and Arm dropped more than 6%.