Automation

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.

As technology enables faster production and more customization, “proximity” should become a guiding principle.

Brands racing to embrace customer service chatbots risk neglecting disabled communities.

Recent advances are helping to overcome the technical hurdles to “lights-out” manufacturing.

Three reasons why this period of automation is different.

Employees who use AI as a core part of their jobs report feeling more isolated, drinking more, and sleeping less than employees who don’t.

A recent study suggests that blending human labor with robotics leads to greater efficiency.

Economists have traditionally believed that new technology lifts all boats. But in the case of AI, some are asking: Will some employees get left behind?

Understanding the “why” before you start working on the “how” is a critical skill — especially in the age of AI.

New research shows that consumers think automated vehicles are good for other people, but not for themselves.

Consider a more balanced and thoughtful approach to AI transformation.

Companies need to reimagine their processes to encourage dialogue between people and these new AI tools.