Samsung's semiconductor unit drove a record quarter, but the company warned AI memory demand will outstrip supply and kept investors waiting on shareholder retu

Hyperscaler results showed surging AI demand but also heavy capital spending, with Google and Microsoft declining to raise capex forecasts and Alphabet shares f

The memory maker's sevenfold profit jump and $45 billion payout reassured investors about AI demand durability, lifting chip stocks broadly.

Google is enlisting partners to sell its homegrown AI chips, a direct challenge to Nvidia's dominance in AI accelerators.

Debt markets are absorbing unprecedented volumes of AI-related borrowing, raising questions about Wall Street's appetite for the risk.

The industrial giant's results beat expectations but the stock fell, echoing pressure across AI-linked power and equipment names.

Alphabet's cloud backlog and in-house TPU strategy are central to its AI growth story and capex outlook.

Investors are increasingly focused on the leverage behind AI cloud buildouts, pressuring neocloud and memory-exposed names.

Microsoft revealed Azure's dollar revenue for the first time and detailed the scale of its financial ties to OpenAI.

Alphabet is pushing monetization of AI-driven search as its traditional advertising growth decelerates.

Meta's capital expenditure is outrunning cash flow, pushing the company toward large-scale external financing.

Microsoft's cloud and AI businesses continued to drive top-line growth despite investor focus on capital spending.

The European chipmaker raised its outlook on AI data centre demand, adding to evidence of broad semiconductor strength.

The revision signals hyperscalers are scrutinizing the pace of AI infrastructure spending.

Oracle sought to reassure investors that its aggressive AI infrastructure buildout will not strain its balance sheet indefinitely.

Note conversions reveal the extent of Amazon's stake in Anthropic as the company moves toward a public listing.

Analysts warn of broadening labor market effects and flashing warning signals as the AI investment cycle matures.

Data center equipment demand continues to outpace expectations, lifting AI infrastructure suppliers.