In the information economy, people who have the ability to master complex machines and solve complex problems are the ones who will be more valued.
Deep work allows you to do two things critical to your performance in this economy:
1. Learn and master new skills. Today’s economy changes so quickly that a technology or best practice that was hot 5 years ago might be obsolete today. This is true of fields as wide-ranging as computer programming, marketing, academic research, and financial investments. To continue staying relevant over decades, you must continue to learn new skills. And learning challenging new skills requires focused concentration.
2. Apply the skills to increase your output. Once you’ve learned a skill, you need to do something useful to it. Consider the simple rule: High-quality work produced = Time Spent x Intensity of Focus. And once again, the application of highly technical skills requires deep focus.
If you want to have a successful career lasting decades, you need to repeat these two practices over and over again. You’ll need to change skills as new technologies and practices arise, and you’ll need to produce real results with those skills.
Furthermore, the changing economy also increases competition for your job, making it more critical to update your skills. Technology is increasingly making remote work more commonplace, putting the greatest talent around the world in reach of companies. If you’re currently employed in an office, this means one of your competitive advantages – a warm body close to headquarters – will be diminished, and you will have to increase your skill to compensate and compete with remote talent.
Why, specifically, does deep work help you with learning and productivity? A major reason is that distractions are very costly.
Overall, you likely assume that your shallow work (fast email turnaround, meetings) are critical to productivity, and dropping them will lower your standing. Just try an experiment to take a break from email for a day or cancel all your meetings. You’ll likely find that the fires took care of themselves, and the building didn’t burn down.
(Minor point from the chapter: How can Jack Dorsey be so productive while managing two large companies (Twitter and Square)? (Shortform example: Similarly, Elon Musk manages both SpaceX and Tesla). Surely their days are full of distractions, filled with endless meetings and fast decisions?
Cal Newport argues that these CEOs have specialized their roles to be “hard-to-automate decision machines.” For these companies, it’s more efficient for lieutenants to do the deep work on a hairy problem. The CEO’s role is then to review and make a judgment. Thus they incur less of a penalty for their many distractions.)