AI’s tech stack is composed of infrastructure, intelligence, and apps & services — with each layer playing a different role in the AI story. Click to read.

This episode covers ways JPMorgan Chase is pursuing automation and AI, while taking into consideration aspects such as cloud vs. on premise, cybersecurity and buy vs. build. May 29, 2025 Share ...

They want to control key parts of the AI tech stack—from data centers to data to AI models and applications—so that they are not wholly dependent on technology being created in the U.S. or China.

When modernizing your tech stack, start by assessing your current technologies, identifying redundancies and weighing costs and benefits. Consider interoperability, scalability, agility and user ...

Siemiatkowski isn’t the only high-powered tech executive who’s championed AI in recent years: In 2024, Dropbox CEO Drew Houston told the Verge that he laid off 500 employees partly so he could ...

AI’s new coding, debugging, financial research, and software installation abilities could mean companies need fewer people to do that type of work. AI’s ability to handle certain entry-level ...

And with a new app just for its AI offerings, Meta AI is likely to get used a whole lot more often. First published on May 1, 2025 at 5:00 a.m. PT. Everything to Know About the Tech Giant's AI ...

Big Tech’s AI Endgame Is Coming Into Focus. One app to rule them all. By Matteo Wong. Illustration by The Atlantic. Sources: NonVFXStudio / Getty; Marina Demeshko / Getty. June 3, 2025.

AI is without a doubt the trend in tech right now, and people are using it. But I don't think many are considering it when buying their devices—especially smartphones.

Most tech companies have made the conscious choice to steal others’ content to power their AI models and earn ad money — threatening critical sectors of the US economy.

AI’s tech stack is composed of infrastructure, intelligence, and apps & services — with each layer playing a different role in the AI story. Different companies across these layers, including ...

They want to control key parts of the AI tech stack—from data centers to data to AI models and applications—so that they are not wholly dependent on technology being created in the U.S. or China.