Automation

It’s tempting to believe the right hire will unlock the technology’s potential, but success with AI requires an enterprise-wide shift.

By studying 100 companies, researchers have identified four ways to strategically implement the technology.

This report card offers a systematic approach to identifying and addressing the problem.

Here’s how marketers should prepare for the inevitable.

It frees middle managers from constant project coordination.

Co-ops won’t outspend Big Tech, but they could offer a more viable, inclusive path for AI aligned with public interest.

Six ways companies are misjudging the technology’s potential to create value.

Lessons from Moody’s, IKEA, Adobe, and more.

Given their mandate to create value in a relatively short time frame, PE firms offer a unique perspective on how to drive innovation in this area.

Even the most up-to-date AI risk mitigation systems will buckle under the complexity of what’s coming next.

What to do with emails, contracts, forms, files, recordings of meetings, and other data created via work processes.

A guide to help leaders design, test, and scale their human-AI labor strategy.

Robots aren’t for every company. Here’s how to decide if they’re right for yours.

Six strategies for getting people to love—and buy from—your AI chatbot.

Four principles the company uses to preempt legal and ethical trouble.

By reverse engineering your team’s workflow, you can customize generic AI tools to fit your processes.

How to weigh these competing demands.

An interview with sociologist Allison J. Pugh on what we lose when we automate work that connects people.

Studies have shown that people dislike attempts to make AI convincingly human. But emphasizing the essential role of humans in AI tools can help reduce resistance to adoption.

A study of over 1 million job listings posted before and after the introduction of major gen AI tools reveals the effect they’re having on gig workers.