As we explore AI driven productivity gains more, it’s useful to break things down at the individual, team and organizational level.

For individuals, AI tools can make people more productive but can also create the appearance of progress that is actually just noise or side quests.

In some cases they make people worse as workers start churning out AI slop when prior to AI tools they produced reasonable or at least passable work.

For software product teams, one role being more productive does not automatically translate to the team being more productive.

Engineers writing 2x - 10x as much code does not translate to 2x - 10x as much revenue or customers. But it does mean 2x - 10x as many bugs. Using AI to do analysis doesn’t help if the output cannot be trusted because it’s frequently incorrect.

So it takes real effort to rework how a team executes so the individual productivity from AI use actually applies to the team

@carnage4life I think most of American culture, including and especially corporate tech culture, underestimates the importance of team dynamics, or misunderstands them.