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Dario Amodei is right. White-collar work gets automated first. But once AI systems level up, robotics accelerates fast. Smarter models mean better perception, control, and learning. Blue-collar automation won’t be far behind.

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Elon Musk: “AI and robots will replace all jobs.” Mustafa Suleyman, Microsoft: Most white-collar work “will be fully automated" in 12-18 months. Dario Amodei, Anthropic: AI is a “general labor substitute for humans.” Congress must act NOW to protect American workers.

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Dario Amodei says software engineering might get disrupted faster than entry-level white-collar jobs We are currently in a "centaur phase" — managing AI systems rather than writing code, which may briefly increase demand for engineers "but the centaur phase for software may be very brief"

Dario Amodei says software engineering might get disrupted faster than entry-level white-collar jobs We are currently in a "centaur phase" — managing AI systems rather than writing code, which may briefly increase demand for engineers "but the centaur phase for software may be very brief"

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Dario Amodei says fast AI progress could come with a hidden cost: job loss and economic concentration "the pie may grow, but fewer people could share it" Entry-level white-collar jobs are especially at risk: law, consulting, and finance. These are the workhorses of the economy, and AI is already pretty good at them

Dario Amodei says fast AI progress could come with a hidden cost: job loss and economic concentration "the pie may grow, but fewer people could share it" Entry-level white-collar jobs are especially at risk: law, consulting, and finance. These are the workhorses of the economy, and AI is already pretty good at them

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Dario Amodei says Nobel-laureate-level AI (Superintelligence) by 2026–27 still looks surprisingly close - and the turbocharger is a feedback loop where AI writes code and accelerates AI research to build even better models. He thinks full end-to-end AI software engineering could be just 6–12 months away - meaning the pace might jump from “fast” to “holy shit.”

Dario Amodei says Nobel-laureate-level AI (Superintelligence) by 2026–27 still looks surprisingly close - and the turbocharger is a feedback loop where AI writes code and accelerates AI research to build even better models. He thinks full end-to-end AI software engineering could be just 6–12 months away - meaning the pace might jump from “fast” to “holy shit.”

Chubby♨️

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“The white collar labor will be the first to go because until you can move atoms, the thing that can be replaced first is anything that involves digital. If it involves tapping keys on a keyboard and moving a mouse, the computer can do that, the AI can do that.” This was January 6. Now we’re seeing it unfold in real time. Even today’s AI is already capable of replacing roughly 50% of white-collar jobs. The only thing holding it back is inertia. Once that inertia breaks and adoption accelerates, we’ll witness a sweeping elimination of white-collar roles on a much larger scale. So what’s the plan?

“The white collar labor will be the first to go because until you can move atoms, the thing that can be replaced first is anything that involves digital. If it involves tapping keys on a keyboard and moving a mouse, the computer can do that, the AI can do that.” This was January 6. Now we’re seeing it unfold in real time. Even today’s AI is already capable of replacing roughly 50% of white-collar jobs. The only thing holding it back is inertia. Once that inertia breaks and adoption accelerates, we’ll witness a sweeping elimination of white-collar roles on a much larger scale. So what’s the plan?

Rothmus 🏴

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AI’s ‘Supersonic Tsunami’: Elon Musk, Dario Amodei, Mustafa Suleyman, and Your Job Elon Musk calls AI a “supersonic tsunami” heading toward humanity. Anthropic CEO Dario Amodei says that, in as little as 12 months, AI could do 50 percent of entry-level white-collar work. And Microsoft AI CEO Mustafa Suleyman says we are roughly 18 months from AI being able to perform most thought-work job tasks. So which is it? Marketing hype to drive investment? A pretext for Universal Basic Income (UBI) and more government control? Or the beginning of a massive economic boom? Wynton Hall, author of the new book "Code Red: The Left, the Right, China, and the Race to Control AI," lays out the stakes for Americans as AI’s seismic shifts unfold rapidly. What are you seeing in your industry and day-to-day workflows so far? Are AI agents already in the mix? Will they be soon?

Breitbart News

75,095 Aufrufe • vor 5 Monaten

White-collar jobs are getting hit harder by AI than blue-collar ones right now. Tasks like writing, data analysis, coding, research, and admin work are exactly what current AI excels at, unlike physical manufacturing work. One analysis puts white-collar automation potential at around 30%, compared to under 1% for blue-collar roles. Goldman Sachs says AI could automate 25% of all US work hours, with 300 million jobs globally exposed, though actual displacement over 10 years might be more like 6-7% of workers. What’s actually happening: AI was linked to about 4.5% of job losses in 2025, and in April 2026 it accounted for 26% of layoffs in one report. Entry-level white-collar roles, junior analysts, coders, paralegals, customer service, are seeing the biggest squeeze, with hiring slowing sharply in AI-exposed fields. BCG projects 50-55% of US jobs will change significantly in the next couple years, but only 10-15% get fully eliminated in the next five. A lot of roles are getting augmented, people using AI tools to work faster rather than being replaced outright. It’s still early, so the big wave of losses some CEOs are warning about hasn’t fully materialized yet. The real story so far is fewer new office jobs being created, especially at the entry level.

White-collar jobs are getting hit harder by AI than blue-collar ones right now. Tasks like writing, data analysis, coding, research, and admin work are exactly what current AI excels at, unlike physical manufacturing work. One analysis puts white-collar automation potential at around 30%, compared to under 1% for blue-collar roles. Goldman Sachs says AI could automate 25% of all US work hours, with 300 million jobs globally exposed, though actual displacement over 10 years might be more like 6-7% of workers. What’s actually happening: AI was linked to about 4.5% of job losses in 2025, and in April 2026 it accounted for 26% of layoffs in one report. Entry-level white-collar roles, junior analysts, coders, paralegals, customer service, are seeing the biggest squeeze, with hiring slowing sharply in AI-exposed fields. BCG projects 50-55% of US jobs will change significantly in the next couple years, but only 10-15% get fully eliminated in the next five. A lot of roles are getting augmented, people using AI tools to work faster rather than being replaced outright. It’s still early, so the big wave of losses some CEOs are warning about hasn’t fully materialized yet. The real story so far is fewer new office jobs being created, especially at the entry level.

Patricia 🇺🇸

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Anthropic CEO Dario Amodei says AI companies like his may need to be taxed to offset a coming employment crisis: He worries that entry-level white-collar jobs could be replaced within 1–5 years. “Even if our company stopped… all the other companies would continue. And if they didn't, China would beat us.” The bus can't be stopped, he says. But maybe it can be steered.

Anthropic CEO Dario Amodei says AI companies like his may need to be taxed to offset a coming employment crisis: He worries that entry-level white-collar jobs could be replaced within 1–5 years. “Even if our company stopped… all the other companies would continue. And if they didn't, China would beat us.” The bus can't be stopped, he says. But maybe it can be steered.

vitrupo

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We’re in the “centaur” moment for software: humans + AI outperform either alone, but it won’t last. Then machines will dominate, and entry-level engineering gets wrecked fast. Don’t assume “we’ll adapt like before.” The pace is different: a brief phase where humans check AI code, then a rapid shift that guts junior white-collar paths. - Anthropic's CEO Dario Amodei "So after Garry Kasparov was beaten by Deep Blue, chess went through a 15–20 year stretch where a “centaur” team, a human checking an AI’s moves, could beat any human or any AI alone. That era eventually ended, and it became mostly just the machine. My worry is that we’re already in that centaur phase for software. During this phase, demand for software engineers might even increase, but the phase could be very short. Then entry-level white-collar work, especially software engineering, gets hit with a major disruption. People compare this to older labor shifts, like farming to industry to knowledge work, and say humans adapt. But those transitions played out over decades or centuries. This one is happening in just a few years, and that speed is the real concern." ---- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)

We’re in the “centaur” moment for software: humans + AI outperform either alone, but it won’t last. Then machines will dominate, and entry-level engineering gets wrecked fast. Don’t assume “we’ll adapt like before.” The pace is different: a brief phase where humans check AI code, then a rapid shift that guts junior white-collar paths. - Anthropic's CEO Dario Amodei "So after Garry Kasparov was beaten by Deep Blue, chess went through a 15–20 year stretch where a “centaur” team, a human checking an AI’s moves, could beat any human or any AI alone. That era eventually ended, and it became mostly just the machine. My worry is that we’re already in that centaur phase for software. During this phase, demand for software engineers might even increase, but the phase could be very short. Then entry-level white-collar work, especially software engineering, gets hit with a major disruption. People compare this to older labor shifts, like farming to industry to knowledge work, and say humans adapt. But those transitions played out over decades or centuries. This one is happening in just a few years, and that speed is the real concern." ---- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)

Rohan Paul

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New interview of Anthropic's CEO Dario Amodei on AI's job impact: Entry-level office work gets hit first. "Tthe first thing to be disrupted is these kind of entry-level white-collar jobs: data entry, document review for law, or the stuff you’d give a first-year in finance where you’re analyzing documents. I still think those are going pretty fast. But I actually think software might go even faster because of the reasons I gave. I don’t think we’re that far from models being able to do a lot of it end-to-end. What we’re going to see first is the model only does a piece of what the human software engineer does, and that increases their productivity. Then, even when the models do everything that human software engineers used to do, the human software engineers take a step up. They act as managers and supervise the systems." --- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)

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Rohan Paul

343,163 Aufrufe • vor 6 Monaten

“Is it still 50% of entry-level white-collar jobs that will be eliminated, or is it higher?” Dario: “I don't know exactly, but I'm still pretty concerned. I'm still the same order of concerns. Right now AI is making people more productive, but that's the usual hump... eventually it gets close to 100%.” “You automate 90% of the job, great, people are 10 times more productive... but eventually it gets close to 100%. We’re already starting to see the beginning of like... there may be some people that it’s not making more productive, that it’s better for the AI to just do it.”

“Is it still 50% of entry-level white-collar jobs that will be eliminated, or is it higher?” Dario: “I don't know exactly, but I'm still pretty concerned. I'm still the same order of concerns. Right now AI is making people more productive, but that's the usual hump... eventually it gets close to 100%.” “You automate 90% of the job, great, people are 10 times more productive... but eventually it gets close to 100%. We’re already starting to see the beginning of like... there may be some people that it’s not making more productive, that it’s better for the AI to just do it.”

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22,277 Aufrufe • vor 2 Monaten

Elon Musk delivered a brutal prediction on the job apocalypse — and it's closer than most realize: “Half or more of all white-collar jobs can already be replaced by AI right now.” In this wide-ranging conversation, Musk explains the timeline and mechanics: - Anything involving moving bits (not atoms) — spreadsheets, writing, analysis, education, legal work, coding — is already AI's domain. - Companies that go full AI will demolish those that don't — just like one laptop with a spreadsheet wiped out skyscrapers of human "computers" in the 20th century. - Even one manually calculated cell in a spreadsheet would make you uncompetitive today. - Blue-collar/physical jobs last longer — until humanoid robots scale — but white-collar work is first to go because it requires no physical presence. The forcing function: AI-using companies will outcompete human-heavy ones so fast that inertia won't save the old model. The race is on. This isn't sci-fi — Musk says we're already "pretty close" to AI replacing half of all jobs. When do you think the majority of white-collar roles disappear — 5 years, 10 years, or sooner?

Elon Musk delivered a brutal prediction on the job apocalypse — and it's closer than most realize: “Half or more of all white-collar jobs can already be replaced by AI right now.” In this wide-ranging conversation, Musk explains the timeline and mechanics: - Anything involving moving bits (not atoms) — spreadsheets, writing, analysis, education, legal work, coding — is already AI's domain. - Companies that go full AI will demolish those that don't — just like one laptop with a spreadsheet wiped out skyscrapers of human "computers" in the 20th century. - Even one manually calculated cell in a spreadsheet would make you uncompetitive today. - Blue-collar/physical jobs last longer — until humanoid robots scale — but white-collar work is first to go because it requires no physical presence. The forcing function: AI-using companies will outcompete human-heavy ones so fast that inertia won't save the old model. The race is on. This isn't sci-fi — Musk says we're already "pretty close" to AI replacing half of all jobs. When do you think the majority of white-collar roles disappear — 5 years, 10 years, or sooner?

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Anthropic CEO, Dario Amodei: "Half of entry-level white-collar jobs could be gone in one to five years." 3 things he said during the interview. The third, OpenAI completely ignores. One: inside Anthropic, engineers say "I don't write code anymore. The model does." Two: the real trigger isn't jobs. It's AI that builds AI, and the loop may close this year. Three: how soon superhuman AI actually lands. The massive buffers they are raising because the compute explosion is moving faster than anticipated. Save it. Reread in 2028 and see who was right.

Anthropic CEO, Dario Amodei: "Half of entry-level white-collar jobs could be gone in one to five years." 3 things he said during the interview. The third, OpenAI completely ignores. One: inside Anthropic, engineers say "I don't write code anymore. The model does." Two: the real trigger isn't jobs. It's AI that builds AI, and the loop may close this year. Three: how soon superhuman AI actually lands. The massive buffers they are raising because the compute explosion is moving faster than anticipated. Save it. Reread in 2028 and see who was right.

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"Superintelligence won't arrive all at once. It will emerge through automation." Andrej Karpathy says superintelligence is best understood as the long-term continuation of automation. First, AI automates digital work. Then physical work. Eventually, even scientific discovery, invention, and decision making become increasingly automated. The biggest challenge may not be a single AI taking over. It could be a gradual loss of human understanding and control as billions of autonomous AI systems interact, compete, and make decisions at a scale and speed no human can fully comprehend. Superintelligence may not look like one all-powerful AI. It may look like an economy of autonomous intelligences 👀

"Superintelligence won't arrive all at once. It will emerge through automation." Andrej Karpathy says superintelligence is best understood as the long-term continuation of automation. First, AI automates digital work. Then physical work. Eventually, even scientific discovery, invention, and decision making become increasingly automated. The biggest challenge may not be a single AI taking over. It could be a gradual loss of human understanding and control as billions of autonomous AI systems interact, compete, and make decisions at a scale and speed no human can fully comprehend. Superintelligence may not look like one all-powerful AI. It may look like an economy of autonomous intelligences 👀

SciTech Era

15,509 Aufrufe • vor 15 Tagen

"Anything that involves information, anything short of shaping atoms, AI can do 50% of all those jobs right now" - Elon Musk He says white-collar work goes first because it only manipulates information, not atoms. If a job is basically typing, clicking, researching, writing, analyzing or teaching on a screen, AI can do it. The shift will lag due to inertia, but competition will force faster adoption when AI-heavy firms outperform AI-light firms. And then humanoid robots will take most blue-collar jobs. Once machines can “shape atoms,” robots will do physical work in factories, logistics, maintenance, construction, and even run data centers. He expects far more humanoid robots than humans, initially scarce then plentiful, with the main bottlenecks being power, cooling, and materials, not software. --- Video from 'Peter H. Diamandis' YT channel (full link in comment)

"Anything that involves information, anything short of shaping atoms, AI can do 50% of all those jobs right now" - Elon Musk He says white-collar work goes first because it only manipulates information, not atoms. If a job is basically typing, clicking, researching, writing, analyzing or teaching on a screen, AI can do it. The shift will lag due to inertia, but competition will force faster adoption when AI-heavy firms outperform AI-light firms. And then humanoid robots will take most blue-collar jobs. Once machines can “shape atoms,” robots will do physical work in factories, logistics, maintenance, construction, and even run data centers. He expects far more humanoid robots than humans, initially scarce then plentiful, with the main bottlenecks being power, cooling, and materials, not software. --- Video from 'Peter H. Diamandis' YT channel (full link in comment)

Rohan Paul

37,232 Aufrufe • vor 1 Monat

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Karl Mehta

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As the Musk-vs-Altman fight is becoming pay-per-view TV, xAI is rebuilding, Anthropic is surging, and the economics of intelligence are starting to break old models, all while OpenAI sits on a $852B war chest. -- xAI admits it “was not built right the first time,” and Colossus 2 is now reportedly training 7 models at once. -- Software engineering roles are up 67,000, while roughly 80,000 layoffs hit other white-collar functions in Q1. -- Anthropic is making the biggest product pivot in AI from systems that answer questions to managed agents that actually do the work. - South Korea is mandating 40% solar rooftops, while the DOE is backing $800M in microreactors.

Peter H. Diamandis, MD

37,719 Aufrufe • vor 4 Monaten

Dario Amodei just warned about the next economic crisis on live television. The timeline is 1 to 5 years. Amodei: “We may indeed have a serious employment crisis on our hands as the pipeline for this early-stage white-collar work starts to contract and dry up.” Not factory workers. Not truck drivers. Lawyers. Consultants. Finance professionals. The entry-level jobs that millions of college graduates have used as the first rung of the middle class for decades. Amodei: “AI is at the level of a smart college student and reaching beyond that.” The skills those entry-level jobs require are exactly what AI does best. Summarizing documents. Building financial models. Drafting reports. Synthesizing research. The pipeline doesn’t just shrink. It dries up. And if the entry-level pipeline disappears, there is no path to senior leadership for the next generation. The ladder doesn’t get harder to climb. It gets removed. But here is what makes this different from every other automation warning. Amodei: “We can’t stop the AI bus. Even if all six companies stopped, then China would beat us. I think that’s a big and important threat.” This isn’t a choice between disruption and stability. It’s a choice between disrupting the economy ourselves or ceding that disruption to a geopolitical adversary who will do it without any of the safeguards. There is no pause button. There is no responsible opt-out. So Amodei said something no tech CEO has ever said publicly before. Amodei: “We may want government to find a way to level the economic playing field. Taxing AI companies like us.” The man building the technology that will eliminate millions of jobs is asking the government to tax him for doing it. That isn’t cognitive dissonance. That’s the clearest possible signal that the people building it understand what’s actually coming. The abundance is coming. The disruption arrives first. And the architects of that disruption are already asking who pays for the wreckage.

Dario Amodei just warned about the next economic crisis on live television. The timeline is 1 to 5 years. Amodei: “We may indeed have a serious employment crisis on our hands as the pipeline for this early-stage white-collar work starts to contract and dry up.” Not factory workers. Not truck drivers. Lawyers. Consultants. Finance professionals. The entry-level jobs that millions of college graduates have used as the first rung of the middle class for decades. Amodei: “AI is at the level of a smart college student and reaching beyond that.” The skills those entry-level jobs require are exactly what AI does best. Summarizing documents. Building financial models. Drafting reports. Synthesizing research. The pipeline doesn’t just shrink. It dries up. And if the entry-level pipeline disappears, there is no path to senior leadership for the next generation. The ladder doesn’t get harder to climb. It gets removed. But here is what makes this different from every other automation warning. Amodei: “We can’t stop the AI bus. Even if all six companies stopped, then China would beat us. I think that’s a big and important threat.” This isn’t a choice between disruption and stability. It’s a choice between disrupting the economy ourselves or ceding that disruption to a geopolitical adversary who will do it without any of the safeguards. There is no pause button. There is no responsible opt-out. So Amodei said something no tech CEO has ever said publicly before. Amodei: “We may want government to find a way to level the economic playing field. Taxing AI companies like us.” The man building the technology that will eliminate millions of jobs is asking the government to tax him for doing it. That isn’t cognitive dissonance. That’s the clearest possible signal that the people building it understand what’s actually coming. The abundance is coming. The disruption arrives first. And the architects of that disruption are already asking who pays for the wreckage.

Dustin

105,277 Aufrufe • vor 5 Monaten