Massive bombshell. Anthropic co-founder Chris Olah warns that AI will displace human labor on a catastrophic global scale. He confirms tech elites have absolutely no mechanism to share the wealth, leaving the global poor completely abandoned to suffer. He is 100% accurate.

Meta has formally informed the Irish government of its plans to lay people off here. It wants company cuts of 10% and it employs 1,800 here (40% less than 3 years ago) Comes just after record quarterly profits of $ 26bn -- almost $ 1bn every three days independent.ie/business/meta…

MICROSOFT'S AI CHIEF JUST SAID SOMETHING THAT SHOULD MAKE EVERY OFFICE WORKER STOP AND READ THIS TWICE. AI will automate most computer-based professional tasks within 12 to 18 months. Not entry-level tasks. Not low-skill tasks. The expensive ones. Mustafa Suleyman is not talking about factory workers or delivery drivers. He is talking about the people sitting at desks in front of screens doing work that earns $80,000 to $200,000 a year. The jobs being targeted: Reading and processing documents. Writing and responding to emails. Building and updating spreadsheets. Writing and reviewing code. Managing dashboards and tickets. Drafting and analyzing contracts. Running campaigns. Updating project trackers. If your job description involves reading, writing, comparing, filing, summarizing, searching, or deciding under known rules you are in the category Suleyman is describing. Here is the uncomfortable truth buried in his statement. These jobs are not at risk because they are low-skill. They are at risk because they are repeatable patterns. A $150,000 a year analyst who reads reports, extracts key data, compares it to historical benchmarks, and writes a summary recommendation is doing a repeatable pattern. The intelligence required is real. The pattern is still repeatable. And repeatable patterns are exactly what AI agents are being built to execute. The 12 to 18 month timeline is not a prediction about the distant future. It is a statement about what is already in development at the companies building the tools. The people who spend the next 12 months learning to direct AI agents rather than execute the patterns themselves will not be replaced. They will be the ones replacing the patterns. The people who wait to see what happens will find out the hard way. Bookmark this. Follow @cyrilXBT for every AI development that changes the employment equation the moment it surfaces.

🚨BREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now. The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching. The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users. For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue. The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them. Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now. Then there is the pipeline finding nobody is talking about loudly enough. Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from. The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence. The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway. If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party. Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence" PDF: anthropic.com/research/labor…

A Chinese student created a website that maps British Museum artifacts to their countries of origin.

Eric Weinstein ... Tsunami of disruption is coming for the average person.

The Red DOT. Data doesn’t lie. #Insights #Data #Ireland

🚨 Do you understand what happened in the last 12 hours? > Goldman Sachs said $450 billion in AI investment contributed "basically zero" to US economic growth.. the Chief Economist said it on record.. > Uber dropped $1.25 billion on Rivian to build 50,000 robotaxis.. the drivers who built the company are about to be replaced by the cars.. > Jeff Bezos started raising $100 billion to buy manufacturing companies and automate them with AI.. he's not building factories.. he's buying them to empty them.. > DoorDash launched an app that pays people to film themselves doing chores.. not for content.. for AI training data.. so robots can learn to replace them.. > OpenAI bought Astral.. the open source Python tools that millions of developers loved.. bolted it onto their coding agent.. the community is furious.. > Cursor dropped Composer 2.. their own AI model that beats Claude on coding benchmarks.. a 50-person startup outperformed a $30 billion lab.. > Hollywood resurrected Val Kilmer with AI to star in a new movie.. he died of cancer.. never filmed a single scene.. they built a digital version of him.. > HSBC is planning deep job cuts using AI to gut their middle and back offices.. > UK unemployment hit 5.2%.. AI hasn't even started firing people yet.. > Fortune 500 updated the AI price tag to $4.5 trillion.. 93% of US jobs vulnerable to disruption.. > Nvidia GTC is happening right now.. Jensen closed his keynote with singing robots and a digital clone of himself.. the man selling the shovels is also selling the future.. all of this happened in ONE day.. a single Thursday.. if you're not following me you're finding out about this 48 hours late from someone who read my post..

Striking image from the new Anthropic labor market impact report.

An NVIDIA powered farming machine uses Al vision and precision lasers to eliminate weeds in milliseconds without herbicides and without harming crops, a potential shift toward chemical free agriculture

The automation of white-collar jobs will be absolutely brutal for millions of families. blog.andrewyang.com/p/the-en…

Robot electricians in China are handling high-voltage grids, taking humans out of danger.

🇨🇳 China is scaling agricultural robots. Autonomous harvest at 24/7 cadence is the new baseline for food security. Vision models pick, arms place, logistics sync, human supervisors handle exceptions. Cheaper fruit, fewer bruises, happier supply chain

Tech careers are now split into 3 tracks

Sam Altman announces from Delhi: Superintelligence will exist by the end of 2028, and it will be better at research than our best scientists, and better at management than the greatest CEOs, even me.

This coffee shop uses AI to track the productivity of baristas and how much time customers are spending in the shop. The NeuroSpot Barista Staff Control and Customer Monitoring Video Analytics Module, are tools designed to enhance the efficiency.

CEO of Microsoft AI Mustafa Suleyman joins FT editor Roula Khalaf to explain why most of the tasks accountants, lawyers and other professionals currently undertake will be fully automated by AI within the next 12 to 18 months ft.trib.al/SZ4Lti1

I’m sorry what

Today is my last day at Anthropic. I resigned. Here is the letter I shared with my colleagues, explaining my decision.

Anthropic CPO Mike Krieger says that Claude is now effectively writing itself Engineers regularly ship 2–3,000-line pull requests generated entirely by Claude Dario predicted a year ago that 90% of code would be written by AI, and people thought it was crazy "today it's effectively 100%"