Editors' Picks Articles

Brooke Becher

Updated on February 03, 2026

Can less really be more? The four-day work week challenges companies to reframe productivity in terms of output — not hours.

Brooke Becher

Updated on February 03, 2026

Apple, once the gold standard in consumer tech, is being overshadowed in the generative AI era. Will its playbook of small, strategic partnerships and quiet R&D pay off in the end?

Matthew Urwin

Updated on January 28, 2026

America’s AI industry has thrived under Trump’s second term, thanks to his AI Action Plan that reduces regulations, increases infrastructure and prioritizes American AI exports. But this progress could be met with pushback in 2026.

Ben Hwang

Updated on January 28, 2026

The rollout of ChatGPT Health presents a great opportunity for patients to take control of their own care, but only if we get the underlying medical principles right.

Jeff Rumage

Updated on January 28, 2026

Data centers are popping up around the U.S. at a record pace, often promising hundreds of permanent jobs in smaller communities. But what exactly do these jobs entail — and how long will they stick around?

Ellen Glover

Updated on January 27, 2026

Tesla’s robotaxi fleet, powered by new self-driving software, is slated to go nationwide this year. The Cybercab, however, won’t roll out until at least 2026.

Jenny Lyons-Cunha

Updated on January 26, 2026

Marked as a national security threat, TikTok was banned by a court ruling, shut down and relaunched all in the span of a week. Now, a U.S. version of the app is managed by a newly formed entity who oversees data management and changes to its algorithm.

Jiaona Zhang

Updated on January 23, 2026

For knowledge industries, the productivity gains AI enables threaten to simultaneously erase value. These fields must rethink how they price their services now — before it’s too late.

Brooke Becher

Updated on January 22, 2026

With new laws, clearer rules and a national Bitcoin reserve in place, Trump’s first year back turned crypto from a regulatory minefield to a more legitimate industry. But even under a friendly White House, its volatility refuses to fade.

Nick Holzherr

Updated on January 22, 2026

AI tools don’t fail because they’re weak. They fail when people don’t give them enough context. Learning how to do that is quickly becoming a core job skill.