Lenny Rachitsky posts AI altering data science roles
Lenny Rachitsky posted that AI substantially affects data science positions. Conversations with a data scientist showed teams now devote most effort to reviewing incomplete AI analyses prepared by product managers and engineers. These analyses prove inaccurate about half the time, making the role less engaging. Signüll quoted the post and noted that defining professional responsibilities may soon grow more difficult in casual settings.
+1 ...and for people who love wearing lots of hats, and who love working independently with lots of creative control and autonomy, there's never been a better time to build
Even more broadly, something I'm hearing a lot of: with everyone doing everyone else's job, it's hard to know what your job is anymore.
soon the hardest question at a party will be “so, what do you do?”
Even more broadly, something I'm hearing a lot of: with everyone doing everyone else's job, it's hard to know what your job is anymore.
Not enough people are talking about how much AI is impacting the role of data science.
I was chatting with a DS friend, and he said that most of his team's work now is reviewing half-assed AI data analysis from PMs and engineers. And that 50% of the time, that analysis is wrong.
The role is becoming less fun.
Even more broadly, something I'm hearing a lot of: with everyone doing everyone else's job, it's hard to know what your job is anymore.
Not enough people are talking about how much AI is impacting the role of data science. I was chatting with a DS friend, and he said that most of his team's work now is reviewing half-assed AI data analysis from PMs and engineers. And that 50% of the time, that analysis is wrong. The role is becoming less fun.