Each week, we review the week’s news, offering analysis about the most important developments in the tech industry.

Hi, I’m Jamie Condliffe. Greetings from London. For one last time before I leave The New York Times, here’s a look at the week’s tech news:

The story usually goes like this: Automation is going to take our jobs.

But the reality is far more nuanced, and debate rages about which jobs will be automated, at what scale and where. For the most part, one thing is agreed on: Blue-collar workers who perform repetitive work are most exposed.

That might not be quite right, though. A study published by the Brookings Institution on Wednesday looks at the degree to which professions are exposed to A.I. by comparing job descriptions with patent descriptions of new A.I. technologies, a method developed by the Stanford researcher Michael Webb. It found that A.I. will be “a significant factor in the future work lives of relatively well-paid managers, supervisors and analysts,” including those in relatively technical roles.

Perhaps the most surprising finding: Holders of bachelor’s degrees would be exposed to A.I. over five times more than workers with only a high school degree.

“Lots of math, science, technology and business roles involve, say, operating a power plant to maximize energy efficiency, or running an ad campaign to minimize cost per click,” explained Mark Muro, a senior fellow at Brookings and one of the study’s authors. “And these are exactly the things that A.I. is best at.”

Previously, similar studies lumped together robotics and A.I. But when they are picked apart, it makes sense that A.I. — which is about planning, perceiving and so on — would hit white-collar roles.