capital expenditure

Portnoy Law Firm sues Oracle on behalf of investors who suffered losses between June-December 2025 amid stock volatility and major AI infrastructure spending announcements.

Meta commits to multi-year AMD GPU deal worth up to 6 gigawatts, diversifying its AI chip suppliers away from single-source dependency.

Lone Pine Capital liquidated its Meta position and shifted to TSMC as top holding, citing Meta's aggressive AI spending concerns while favoring semiconductor demand benefiting from AI growth.

Two data center leaders diverge: Applied Digital pursues long-term AI infrastructure growth, while Vertiv offers near-term earnings stability with $15B backlog in expanding $9.99B sector.

Microsoft's revenue grew 17% to $81.3B, but $37.5B quarterly capex surge sparked investor concerns about AI infrastructure spending justifying returns.

Alphabet's stock surged 70% on strong cloud and AI growth, but ambitious $175-185B 2026 AI spending plans create execution uncertainty for investors.

Tech giants are redirecting record cash to AI infrastructure, with 2026 spending projected at $667 billion—surpassing Dot-Com era investment intensity and cutting shareholder buybacks significantly.

D-Wave Quantum Computing dropped 37% amid software sector decline. Elevated valuations and extended timeline to profitability raise concerns about financial sustainability.

Amazon stock dropped 20% from November peaks due to $200 billion AI spending plans weighing on near-term profits, though analysts remain bullish with $285 price targets.

Amazon ranks first among hedge fund picks despite a 20% pullback, driven by confidence in its $200 billion AI infrastructure investment and strong analyst support.

Three tech stocks—Broadcom, SanDisk, and Nebius—positioned for growth in AI infrastructure through semiconductors, storage, and data centers respectively.

Amazon invests $12 billion in Louisiana data centers to expand AI infrastructure, creating 540 direct jobs and supporting 1,710 indirect positions amid surging cloud computing demand.

Google plans to double 2026 capital spending to $175-185 billion for AI infrastructure, despite investor concerns about costs and compressed cash flow from the massive investment.

Oracle faces a class action lawsuit alleging it failed to disclose financial risks tied to its AI infrastructure investments, citing misaligned capital spending and revenue growth.

Meta plans $115-135B AI infrastructure spending in 2026, benefiting cloud partners like Nebius Group, which holds a $3B contract and forecasts $3.4B revenue by 2026.

Sasol returns to positive free cash flow despite flat revenue from lower commodity prices. EBITDA declined 12%, but cost discipline improved working capital management.

Alphabet and Meta offer attractive valuations below 30 P/E ratios while investing heavily in AI, supported by strong revenue growth and massive user bases.

Micron commits $200B to U.S. chip manufacturing over the decade, betting on sustained AI-driven demand for memory chips despite potential overcapacity risks.

Alphabet commits $185B to AI infrastructure, signaling sustained demand for semiconductor suppliers like Nvidia and Broadcom supporting its Gemini platform expansion.

Druckenmiller concentrates holdings in Natera and TSMC, betting on genetic diagnostics growth and AI-driven semiconductor demand while balancing near-term profitability with long-term structural tailwinds.