First, I’m impressed that a book written 9 years ago is still so relevant today.
Since a big part of learning is working for the knowledge, reflecting, and retrieving - here are some things I have learned so far
The exception to the hypothesis that we should all invest in deep work is surprisingly the CEO of a company (not to be confused with an owner/operator founder type). A CEO is described as a human decision making machine that’s difficult to replicate. But even they should get their information to decide from those experts who spend the required time in deep work. It gets problematic when CEOs expect everyone to work like they work.
Value comes from leverage and rarity - both are important and you can normally only get them from a deep work base.
When combined with the idea that humans pursue the part of least resistance and that most things are very hard to measure in the knowledge work arena, and it’s no wonder that people opt to look visibly busy as a proxy of productivity.
One final note - the three worker types that will continue to succeed are those good at using intelligent machines, the 10x superstar at their cadet, and those with a capital advantage to make a series of high leverage, outsized reward bets. While we can’t control when we join the capital group - the path seems to be in the first 2 groups.
I had fun reading 100 pages at 2am and it really didn’t feel like work. That’s a learning for me.