President Trump recently announced that several companies in the private sector are teaming up to invest up to $500 billion into infrastructure for artificial intelligence (AI). The Stargate project,

Amazon bought hundreds of acres of land in Ohio to build a massive data center. Are server farms and data centers different? Let's take a look.

Zuckerberg expects to invest as much as $65 billion to further Meta’s AI ambitions, which includes a data center ‘so large it would cover a significant part of Manhattan.’

Stargate's first data center campus, located in Abilene, will be about 875 acres, but only says it will create at least 57 jobs.

This week's announcement by President Donald Trump of a massive private-sector investment to build more AI data centers casts a spotlight on a relatively small and nimble class of cloud computing firms positioned to play a bigger role in the tech sector.

Mukesh Ambani’s Reliance is planning to build what could become the world’s largest data center in Jamnagar, India, with a capacity of 3 gigawatts to capitalize on surging AI demand.

Zuckerberg expects Meta’s AI assistant — available across its services, including Facebook and Instagram — to serve more than 1 billion people in 2025.

OpenAI debuted its Operator agent system. It’s just a research preview for now, a start toward the promised land of AI agents where we might see automated grocery restocking and expense reports (I’ll believe that when I see it). But the road will be long and winding.

The social-media giant plans to spend between $60 billion and $65 billion, the latest sign of tech companies’ accelerating investments into artificial intelligence.

Investors aren't getting a whole lot of extra compensation on highly rated corporate bonds these days with spreads near historic lows. But securitized products, a catch-all for bonds that finance aircraft,

About 875 acres in Abilene, or roughly the size of New York’s Central Park, have been set aside to construct data centers, according to city documents seen

Flawed conversational AI systems can damage a brand's credibility, but thoroughly tested solutions inspire confidence and drive innovation.