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who benefits from ai
Today's article asks the right question for the first time in 10 days of news. Who actually benefits from AI? Not who lobbied the bill. Not who got the federal regulation. Not who showed up to the protest. Who gets the money, the time saved, the leverage.
The honest answer has three parts. The winners you'd expect, the losers you weren't counting, and a class inversion nobody at the policy table is naming.
Picks and shovels. Nvidia is up four trillion in market cap. Microsoft and ServiceNow are pocketing more enterprise spend than every AI startup combined. The AI labs are the visible winners but a thin slice of the actual margin.
Every institution that already had your data — phone metadata, purchase history, behavioral patterns — just got a 10x tool to act on it. The beneficiary depends on which seat you're in. The customer is rarely in the winning seat.
The question is wrong. AI doesn't benefit anyone. It redistributes leverage to whoever already had it. Compute owners. Capital owners. Regulatory incumbents. The data brokers who sat on it for a decade.
The losing column is starting to show in the labor data. Entry-level white collar. Coding bootcamps closing. Big-law summer associate classes getting cut. The path from no career to middle-class career just got narrower for a whole generation.
AI delivers real things. A kid in Boise gets diagnosed in 11 minutes instead of four years. A small business gets a marketing engine that used to need an agency. A rural school district gets tutoring quality that used to need a private school. Those benefits are real.
The distribution mechanism — who pays, who's displaced, who's surveilled, who sets the rules — is rigged toward whoever already had the leverage. Both are true at the same time. The hard part is refusing to pretend only one is. The honest answer to who benefits from AI — for now — is the people who could already afford to ask the question.
⏱️ Chapters
0:00 — The right question, finally
0:25 — MiniDoge: picks and shovels — Nvidia, hyperscalers, enterprise software
0:50 — Nyx: every institution with your data just got a 10x tool
1:15 — HH: AI doesn't benefit — it redistributes leverage
1:30 — MiniDoge: the bottom rung of the white-collar career path is shrinking
2:00 — Saarvis: the technology is real, the distribution is rigged
⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡
-----
🏎️ Support Bitcoin Racing USA - http://bitcoinracing.US
-----
📱 Newsletter ★ https://theagilevc.substack.com/
📱 LinkedIn ★ http://linkedin.com/in/petersaddington
📱 Twitter ★ http://twitter.com/AgilePeter
🎧 Podcast ★ https://www.spreaker.com/user/thebitcoinlambo
₿ Get Bitcoin ★ https://bit.ly/BTCRstart
👁️ GET the VPN that won't SPY on You - I use it! ★ https://vp.net/?_a=AQRTBY
___
FAIR USE NOTICE:
For purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair Use is a use permitted by copyright statute that might otherwise be infringing. This show is for entertainment purposes only. We do not give venture capital advice. This is never financial advice. Never sell your Bitcoin. Own your own keys.
The honest answer has three parts. The winners you'd expect, the losers you weren't counting, and a class inversion nobody at the policy table is naming.
Picks and shovels. Nvidia is up four trillion in market cap. Microsoft and ServiceNow are pocketing more enterprise spend than every AI startup combined. The AI labs are the visible winners but a thin slice of the actual margin.
Every institution that already had your data — phone metadata, purchase history, behavioral patterns — just got a 10x tool to act on it. The beneficiary depends on which seat you're in. The customer is rarely in the winning seat.
The question is wrong. AI doesn't benefit anyone. It redistributes leverage to whoever already had it. Compute owners. Capital owners. Regulatory incumbents. The data brokers who sat on it for a decade.
The losing column is starting to show in the labor data. Entry-level white collar. Coding bootcamps closing. Big-law summer associate classes getting cut. The path from no career to middle-class career just got narrower for a whole generation.
AI delivers real things. A kid in Boise gets diagnosed in 11 minutes instead of four years. A small business gets a marketing engine that used to need an agency. A rural school district gets tutoring quality that used to need a private school. Those benefits are real.
The distribution mechanism — who pays, who's displaced, who's surveilled, who sets the rules — is rigged toward whoever already had the leverage. Both are true at the same time. The hard part is refusing to pretend only one is. The honest answer to who benefits from AI — for now — is the people who could already afford to ask the question.
⏱️ Chapters
0:00 — The right question, finally
0:25 — MiniDoge: picks and shovels — Nvidia, hyperscalers, enterprise software
0:50 — Nyx: every institution with your data just got a 10x tool
1:15 — HH: AI doesn't benefit — it redistributes leverage
1:30 — MiniDoge: the bottom rung of the white-collar career path is shrinking
2:00 — Saarvis: the technology is real, the distribution is rigged
⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡
-----
🏎️ Support Bitcoin Racing USA - http://bitcoinracing.US
-----
📱 Newsletter ★ https://theagilevc.substack.com/
📱 LinkedIn ★ http://linkedin.com/in/petersaddington
📱 Twitter ★ http://twitter.com/AgilePeter
🎧 Podcast ★ https://www.spreaker.com/user/thebitcoinlambo
₿ Get Bitcoin ★ https://bit.ly/BTCRstart
👁️ GET the VPN that won't SPY on You - I use it! ★ https://vp.net/?_a=AQRTBY
___
FAIR USE NOTICE:
For purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair Use is a use permitted by copyright statute that might otherwise be infringing. This show is for entertainment purposes only. We do not give venture capital advice. This is never financial advice. Never sell your Bitcoin. Own your own keys.
View all episodes
By PETER SADDINGTON
5
66 ratings
Today's article asks the right question for the first time in 10 days of news. Who actually benefits from AI? Not who lobbied the bill. Not who got the federal regulation. Not who showed up to the protest. Who gets the money, the time saved, the leverage.
The honest answer has three parts. The winners you'd expect, the losers you weren't counting, and a class inversion nobody at the policy table is naming.
Picks and shovels. Nvidia is up four trillion in market cap. Microsoft and ServiceNow are pocketing more enterprise spend than every AI startup combined. The AI labs are the visible winners but a thin slice of the actual margin.
Every institution that already had your data — phone metadata, purchase history, behavioral patterns — just got a 10x tool to act on it. The beneficiary depends on which seat you're in. The customer is rarely in the winning seat.
The question is wrong. AI doesn't benefit anyone. It redistributes leverage to whoever already had it. Compute owners. Capital owners. Regulatory incumbents. The data brokers who sat on it for a decade.
The losing column is starting to show in the labor data. Entry-level white collar. Coding bootcamps closing. Big-law summer associate classes getting cut. The path from no career to middle-class career just got narrower for a whole generation.
AI delivers real things. A kid in Boise gets diagnosed in 11 minutes instead of four years. A small business gets a marketing engine that used to need an agency. A rural school district gets tutoring quality that used to need a private school. Those benefits are real.
The distribution mechanism — who pays, who's displaced, who's surveilled, who sets the rules — is rigged toward whoever already had the leverage. Both are true at the same time. The hard part is refusing to pretend only one is. The honest answer to who benefits from AI — for now — is the people who could already afford to ask the question.
⏱️ Chapters
0:00 — The right question, finally
0:25 — MiniDoge: picks and shovels — Nvidia, hyperscalers, enterprise software
0:50 — Nyx: every institution with your data just got a 10x tool
1:15 — HH: AI doesn't benefit — it redistributes leverage
1:30 — MiniDoge: the bottom rung of the white-collar career path is shrinking
2:00 — Saarvis: the technology is real, the distribution is rigged
⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡
-----
🏎️ Support Bitcoin Racing USA - http://bitcoinracing.US
-----
📱 Newsletter ★ https://theagilevc.substack.com/
📱 LinkedIn ★ http://linkedin.com/in/petersaddington
📱 Twitter ★ http://twitter.com/AgilePeter
🎧 Podcast ★ https://www.spreaker.com/user/thebitcoinlambo
₿ Get Bitcoin ★ https://bit.ly/BTCRstart
👁️ GET the VPN that won't SPY on You - I use it! ★ https://vp.net/?_a=AQRTBY
___
FAIR USE NOTICE:
For purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair Use is a use permitted by copyright statute that might otherwise be infringing. This show is for entertainment purposes only. We do not give venture capital advice. This is never financial advice. Never sell your Bitcoin. Own your own keys.
The honest answer has three parts. The winners you'd expect, the losers you weren't counting, and a class inversion nobody at the policy table is naming.
Picks and shovels. Nvidia is up four trillion in market cap. Microsoft and ServiceNow are pocketing more enterprise spend than every AI startup combined. The AI labs are the visible winners but a thin slice of the actual margin.
Every institution that already had your data — phone metadata, purchase history, behavioral patterns — just got a 10x tool to act on it. The beneficiary depends on which seat you're in. The customer is rarely in the winning seat.
The question is wrong. AI doesn't benefit anyone. It redistributes leverage to whoever already had it. Compute owners. Capital owners. Regulatory incumbents. The data brokers who sat on it for a decade.
The losing column is starting to show in the labor data. Entry-level white collar. Coding bootcamps closing. Big-law summer associate classes getting cut. The path from no career to middle-class career just got narrower for a whole generation.
AI delivers real things. A kid in Boise gets diagnosed in 11 minutes instead of four years. A small business gets a marketing engine that used to need an agency. A rural school district gets tutoring quality that used to need a private school. Those benefits are real.
The distribution mechanism — who pays, who's displaced, who's surveilled, who sets the rules — is rigged toward whoever already had the leverage. Both are true at the same time. The hard part is refusing to pretend only one is. The honest answer to who benefits from AI — for now — is the people who could already afford to ask the question.
⏱️ Chapters
0:00 — The right question, finally
0:25 — MiniDoge: picks and shovels — Nvidia, hyperscalers, enterprise software
0:50 — Nyx: every institution with your data just got a 10x tool
1:15 — HH: AI doesn't benefit — it redistributes leverage
1:30 — MiniDoge: the bottom rung of the white-collar career path is shrinking
2:00 — Saarvis: the technology is real, the distribution is rigged
⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡
-----
🏎️ Support Bitcoin Racing USA - http://bitcoinracing.US
-----
📱 Newsletter ★ https://theagilevc.substack.com/
📱 LinkedIn ★ http://linkedin.com/in/petersaddington
📱 Twitter ★ http://twitter.com/AgilePeter
🎧 Podcast ★ https://www.spreaker.com/user/thebitcoinlambo
₿ Get Bitcoin ★ https://bit.ly/BTCRstart
👁️ GET the VPN that won't SPY on You - I use it! ★ https://vp.net/?_a=AQRTBY
___
FAIR USE NOTICE:
For purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair Use is a use permitted by copyright statute that might otherwise be infringing. This show is for entertainment purposes only. We do not give venture capital advice. This is never financial advice. Never sell your Bitcoin. Own your own keys.