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← AI will force a correction in how companies pay for experience once…
17 connected korrents · 18 moments from 3 Mar 2025 to 22 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under market efficiency
market efficiency
Everything filed under AI and human skill
AI and human skill
Everything filed under coding agents
coding agents
Everything filed under management
management
Everything filed under America
America 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: AI will force a correction in how companies pay for experience once AI-augmented junior employees match the output of far costlier mid-career employees. AI will force a correction in how companies pay for experience once AI-augmented junior employees match the output of far costlier mid-career employees. Last stated 2 months ago
15 Aug 2026
HR
Harper Reed — holds since 2026-08-15 — tap for who they are
Same subject: Companies should still be hiring junior engineers in the AI era, and should give them visible progress in their first few years. — tap to centre the map on it Companies should still be hiring junior engineers in the AI era, and should give them visible progress in their first few years. Last stated a year ago
28 May 2025
CF
Camille Fournier — holds since 2025-05-28 — tap for who they are
Same subject: If the AI change is real, individual contributors should be paid more than managers. — tap to centre the map on it If the AI change is real, individual contributors should be paid more than managers. Last stated 3 weeks ago
10 Sept 2026
EV
Elena Verna — holds since 2026-09-10 — tap for who they are
Same subject: AI’s total addressable market in the United States cannot exceed what American employers pay their employees, about $13 trillion a year. — tap to centre the map on it AI’s total addressable market in the United States cannot exceed what American employers pay their employees, about $13 trillion a year. Last stated a month ago
20 Aug 2026
AD
Aswath Damodaran — holds since 2026-08-20 — tap for who they are
Same subject: Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. — tap to centre the map on it Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever. Last stated 2 years ago
22 Mar 2025
TH
ThePrimeagen — holds since 2025-03-22 — tap for who they are
Same subject: As AI displaces entry-level jobs, the return on investment for graduate degrees will rise. — tap to centre the map on it As AI displaces entry-level jobs, the return on investment for graduate degrees will rise. Last stated a month ago
1 Sept 2026
NM
Nick Maggiulli — holds since 2026-09-01 — tap for who they are
Same subject: An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. — tap to centre the map on it An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. Last stated a year ago
15 Aug 2025
CH
Casey Handmer — holds since 2025-08-15 — tap for who they are
Same subject: In this era fluency with AI tools beats years of accumulated experience, so seniority is now a liability rather than an edge. — tap to centre the map on it In this era fluency with AI tools beats years of accumulated experience, so seniority is now a liability rather than an edge. Last stated 2 months ago
28 Jul 2026
SA
Sam Altman — holds since 2026-07-28 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in. — tap to centre the map on it A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in. Last stated 2 years ago
3 Mar 2025
TS
Tobias Sjösten — holds since 2025-03-03 — tap for who they are
Same subject: A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology. — tap to centre the map on it A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology. Last stated a week ago
22 Sept 2026
BR
Barry Ritholtz — holds since 2026-09-22 — tap for who they are
Same subject: A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand. — tap to centre the map on it A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — 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 4 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 10 months ago
18 Nov 2025
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them. — tap to centre the map on it AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them. Last stated 3 weeks ago
11 Sept 2026
FA
Fatih Arslan — holds since 2026-09-11 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. Last stated 6 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. — tap to centre the map on it A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — tap for who they are
Same subject: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. Last stated 4 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
At the centre
AI will force a correction in how companies pay for experience once AI-augmented junior employees match the output of far costlier mid-career employees.
Holds Read this korrent →
Companies should still be hiring junior engineers in the AI era, and should give them visible progress in their first few years.
Holds
If the AI change is real, individual contributors should be paid more than managers.
Holds
AI’s total addressable market in the United States cannot exceed what American employers pay their employees, about $13 trillion a year.
Holds
Leaning on AI trades knowledge for speed, and the price may be a generation of programmers in which juniors stay juniors forever.
Holds
As AI displaces entry-level jobs, the return on investment for graduate degrees will rise.
Holds
An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans.
Holds
In this era fluency with AI tools beats years of accumulated experience, so seniority is now a liability rather than an edge.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
A company that deviates from open standards in its data exports without documenting the deviation creates an artificial vendor lock-in.
Holds
A dominant company's lead in market share compounds over time and becomes harder for competitors to close, especially in technology.
Holds
A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand.
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
AI agents are now capable enough that they should be trusted to improve the skills and systems that guide them.
Holds
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Holds
A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
Holds
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Holds