Artificial Intelligence Articles

Ellen Glover

Updated on April 23, 2026

Tokenmaxxing is Silicon Valley’s latest obsession, where AI use itself becomes a metric for success. Some say it boosts productivity, while others see it as a meaningless status game. Let’s unpack one of tech’s most divisive work trends.

Jeff Rumage

Updated on April 22, 2026

Palantir’s data analysis software is known as a military intelligence tool. But as the company branches out in the government and corporate America, we take a closer look at its technology.

Ellen Glover

Updated on April 22, 2026

A reported AI-powered wearable pin could hint at Apple’s plans beyond the iPhone, signaling how the company may be rethinking everyday tech for an AI-first future.

Brooke Becher

Updated on April 21, 2026

Billions of dollars are changing hands between the same few AI companies. That affects everything from compute costs to market volatility — and it’s worth understanding.

Ellen Glover

Updated on April 21, 2026

From a brief tutorial to a sales presentation, these AI video generators make quick work of video creation and editing.

Friddy Hoegener

Updated on April 20, 2026

AI hiring tools focus too rigidly on the surface-level elements of a candidate’s profile. You have to build a holistic process to dig deeper.

Ankush Rastogi

Updated on April 16, 2026

Too many organizations understand the AI skills gap backwards, focusing too much on the output layer. Most AI projects that fail go astray because of bad data, and that’s where you need to focus.

James Norman

Updated on April 15, 2026

The AI bubble narrative suggests that the underlying technology has no value, but it is already changing the way we work. Even if some companies are overvalued, AI is here to stay.

Jeff Rumage

Updated on April 14, 2026

As companies begin factoring AI implementation into performance reviews, employees are being asked to prove its impact. Here’s how to quantify your results, explain your approach and show how your use of AI drives real business value.

Priyanka Kuvalekar

Updated on April 14, 2026

An AI system can be technically dazzling, but users will still abandon it if it’s hard to use or feels untrustworthy. User research is how you bridge the gap between technical power and adoption.