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← Like data teams before them, roles that AI takes busywork from remain needed, for better reasons.
17 connected korrents · 17 moments from 23 Jan 2012 to 29 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under design
design
Everything filed under AI and human skill
AI and human skill
Everything filed under hiring
hiring
Everything filed under product management
product management Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Like data teams before them, roles that AI takes busywork from remain needed, for better reasons. Like data teams before them, roles that AI takes busywork from remain needed, for better reasons. Last stated 6 months ago
21 Apr 2026
TR
Tal Raviv — holds since 2026-04-21 — tap for who they are
Same subject: The product role remains essential in the AI era, whatever the tools become. — tap to centre the map on it The product role remains essential in the AI era, whatever the tools become. Last stated 3 months ago
10 Aug 2026
MC
Marty Cagan — holds since 2026-08-10 — tap for who they are
Same subject: The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. — tap to centre the map on it The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI. Last stated 2 months ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: Product roles in the AI era are not only overlapping; they are expanding. — tap to centre the map on it Product roles in the AI era are not only overlapping; they are expanding. Last stated 2 months ago
10 Sept 2026
TY
Tamar Yehoshua — holds since 2026-09-10 — tap for who they are
Same subject: AI data tooling has cut the product manager's need for data scientists while multiplying the time they spend in the data themselves. — tap to centre the map on it AI data tooling has cut the product manager's need for data scientists while multiplying the time they spend in the data themselves. Last stated 3 months ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: AI systems require human oversight rather than full autonomy in analysis and workflows. — tap to centre the map on it AI systems require human oversight rather than full autonomy in analysis and workflows. Last stated a year ago
5 Sept 2025
JE
Jason Evanish — holds since 2025-09-05 — tap for who they are
Same subject: AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. — tap to centre the map on it AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. Last stated 3 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: There is very little hard data on which factors are critical to making a data science team successful. — tap to centre the map on it There is very little hard data on which factors are critical to making a data science team successful. Last stated 9 years ago
23 Jul 2017
RC
Rui Carmo — holds since 2017-07-23 — tap for who they are
Same subject: As of now there is not much data showing that AI is genuinely taking jobs away. — tap to centre the map on it As of now there is not much data showing that AI is genuinely taking jobs away. Last stated a month ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. — tap to centre the map on it A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. Last stated 5 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. — tap to centre the map on it A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. Last stated 11 months ago
18 Nov 2025
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. — tap to centre the map on it A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
Same subject: A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. — tap to centre the map on it A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. Last stated a month ago
24 Sept 2026
MS
M.G. Siegler — holds since 2026-09-24 — tap for who they are
Same subject: A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. — tap to centre the map on it A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. Last stated 2 months ago
9 Sept 2026
EB
Ed Bayes — holds since 2026-09-09 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
Same subject: A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better. — tap to centre the map on it A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better. Last stated 2 years ago
17 Dec 2024
CM
Charity Majors — holds since 2024-12-17 — tap for who they are
Same subject: A company hiring a designer is not hiring a politician or spokesperson, so it should just get into the design work. — tap to centre the map on it A company hiring a designer is not hiring a politician or spokesperson, so it should just get into the design work. Last stated a month ago
29 Sept 2026
DM
Danny Martinez — holds since 2026-09-29 — tap for who they are
Same subject: A company is not sensitive to the few thousand dollars a candidate is afraid to ask for, because the fully-loaded cost of employing them dwarfs it. — tap to centre the map on it A company is not sensitive to the few thousand dollars a candidate is afraid to ask for, because the fully-loaded cost of employing them dwarfs it. Last stated 15 years ago
23 Jan 2012
PM
Patrick McKenzie — holds since 2012-01-23 — tap for who they are
At the centre
Like data teams before them, roles that AI takes busywork from remain needed, for better reasons.
Holds Read this korrent →
The product role remains essential in the AI era, whatever the tools become.
Holds
The most ambitious companies are rethinking everything around the models, while others are only giving existing teams access to AI.
Holds
Product roles in the AI era are not only overlapping; they are expanding.
Holds
AI data tooling has cut the product manager's need for data scientists while multiplying the time they spend in the data themselves.
Holds
AI systems require human oversight rather than full autonomy in analysis and workflows.
Holds
AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.
Holds
There is very little hard data on which factors are critical to making a data science team successful.
Holds
As of now there is not much data showing that AI is genuinely taking jobs away.
Holds
A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it.
Holds
A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do.
Holds
A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job.
Holds
A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face.
Holds
A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart.
Holds
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Holds
A CEO cannot be a calibrated interviewer for every role, so insisting on interviewing every candidate makes hiring worse rather than better.
Holds
A company hiring a designer is not hiring a politician or spokesperson, so it should just get into the design work.
Holds
A company is not sensitive to the few thousand dollars a candidate is afraid to ask for, because the fully-loaded cost of employing them dwarfs it.
Holds