I see it more as scaling problems that make it look like people aren't actually busy.
As the userbase scales, infrastructure scales, and what was once a simple "ALTER TABLE" is now a system with a team managing it because a single Postgres instance didn't scale.
As the engineering headcount scales, code changes, builds, even understanding the system become slower. You overcome that with better engineering, but mostly more engineers.
As the product matures, there's still a drive for growth, but the low-hanging product fruit has been picked, so you get lots of product teams trying to either optimize their little part because, at scale, it makes a big difference, or product teams working on new, crazy ideas--the startup within a unicorn-startup--that will most likely fail.
As the userbase scales, infrastructure scales, and what was once a simple "ALTER TABLE" is now a system with a team managing it because a single Postgres instance didn't scale.
As the engineering headcount scales, code changes, builds, even understanding the system become slower. You overcome that with better engineering, but mostly more engineers.
As the product matures, there's still a drive for growth, but the low-hanging product fruit has been picked, so you get lots of product teams trying to either optimize their little part because, at scale, it makes a big difference, or product teams working on new, crazy ideas--the startup within a unicorn-startup--that will most likely fail.