Agent slop refers to low-quality work produced by AI agents — a pesky problem that can quickly balloon into a productivity crisis. Businesses that fail to stay on top of this issue risk falling behind as the age of agentic AI fast approaches.
As generative AI models grow larger and more compute-intensive, neoclouds are filling the gap with the high-speed, GPU-dense infrastructure that traditional cloud providers often can’t deliver at scale.
A new study out of Cornell University reveals AI’s growing strain on America’s water and energy resources, and finds that companies are constructing their data centers in all the wrong places.
Pushback against AI is often chalked up to a fear of change or new technology, but employees are also raising valid concerns that need to be understood and taken seriously.
Artificial intelligence stands to revolutionize how shoppers browse, compare products and make purchases online. Here’s what brands and retailers should know about the rise of agentic shopping.
