How Do I Escape the “Busyness Singularity”? | Monday Advice
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What is the 'Busyness Singularity' and why is it a concern?
There are a lot of concerns in our current discourse about work and technology. Here, for example, is an Economist article from just a couple weeks ago. The headline reads, Prepare for an AI jobs apocalypse. It is not here yet, but government should lay a safety net. Yikes, right? Now here's a Times headline from just last week. California's governor signs AI order aimed at protecting workers. Governor Gavin Newsom issued an executive order to explore an overhaul of labor policies to deal with potential mass job displacement from artificial intelligence. Now notice what these examples have in common. They're all about the potential catastrophic loss of jobs that might occur if technology automates existing roles.
But there's another possibility that people haven't been discussing as much, but it's a possibility that I've increasingly come to worry about. What if the real fear with new advancements like AI is not that these technologies are going to take your job. But instead are going to make your job miserable. And if this is true, what specifically can you do to avoid this fate? Well, it's Monday, meaning it's time for an advice episode of this show, which is the perfect opportunity to go seek out some answers. All right, so here's the plan. I'm going to start by telling you a story, a story about how technology has slowly and somewhat accidentally made knowledge work jobs increasingly worse. And then I will talk about how the arrival of AI might take this long unfolding process and accelerate it to an absurd degree, creating what I've taken the calling
The Busyness Singularity. Now, once I've told you this tale, I'll then share some practical advice about what you can do individually to avoid the gravitational pull of this grim fate. In more detail, I have five important suggestions to share, and we will go through each of those. All right, so we have a lot to cover today, so let's get started. As always, I'm Cal Newport, and this is Deep Questions, the show for people seeking depth in a distracted world.
All right, I want to start by telling you a story about the evolution of knowledge work. And I should say right off the bat, if you want the full version of this story, you need to read part one of my most recent book, which is called Slow Productivity. This is basically sort of the primary source material for a lot of what I talk about these days about work on this show. So you should have your own copy of it. All right, so here is the short version of the summary I tell in part one, the story I tell in part one of that book. In the beginning...
How does AI potentially make existing jobs more miserable?
We have the notion of knowledge work emerge in the mid-1950s, roughly speaking. That's when the management theorist Peter Drucker actually coins the term knowledge work. His job was to help the business leaders of America in particular understand what knowledge work is and how it differs from the industrial work that had been driving the American economy up to that point. Now, one of the key concepts of knowledge work that Peter Drucker drilled into the heads of American executives was autonomy. Unlike assembly line workers, knowledge workers are creative and have specific skills. They often know more about what they're doing than the managers who manage them. So instead of trying to give them an exact step-by-step checklist to follow, like you would do if you're building a Magneto for a Model T Ford, you need to give them autonomy to figure out how they're going to work and what they're going to do with their work.
It's going to need to be much more of a hands-off management style. Well, this created a problem for managers because how do we manage knowledge workers? If we can't just have a pile of widgets we look at and say, how many did you produce today? If they're autonomous, how do we manage them? The implicit answer that arose is what I call pseudo-productivity. It was a heuristic that says, let's use visible activity as a proxy for useful effort. The more we see you doing, the more useful we'll assume you're being.
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Chapters
4 chapters
1
What is the 'Busyness Singularity' and why is it a concern?
0:00–2:52
2
How does AI potentially make existing jobs more miserable?
2:52–7:42
3
What is pseudo-productivity and how does it affect knowledge work?
7:42–10:26
4
What are the five strategies to avoid the pitfalls of pseudo-productivity?
10:26–48:49
Speakers
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