Artificial Intelligence is built on the creative work of millions of writers, artists, musicians, journalists, teachers, scientists and ordinary people. That work has been stolen by Big Tech oligarchs.
Now's the time to reclaim it and ensure AI works for ALL, not just the few.
I will soon be introducing a bill to give the public a 50% ownership stake in the largest AI companies in America.
This would guarantee that the trillions created by AI are used to improve the lives of all of us — and block oligarch decisions that harm the American people.
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
SoftBank vient donc de s'engager à investir € 75 milliards en France, et cette fois-ci ce n'est pas l'Etat qui le dit, mais Masayoshi Son, le CEO de SoftBank.
Soyons clairs : le nucléaire joue sans aucun doute un rôle majeur dans cette affaire, car aucun pays ne dispose à la fois de capacité structurellement excédentaire (également du fait de la forte désindustrialisation de ce pays) ET décarbonée. Car ce dernier point compte plus que l'on ne le croit. Si les Etats-Unis alimentent très majoritairement leurs datacenters en gaz, et considèrent que l'accord de Paris est une relique du passé, le reste du monde continue à décarboner et même de façon soutenue (voir https://t.co/zU46isBrj4). Or, tout aussi bien dans les ministères de nombreux pays qu'à la Commission européenne, le débat sur le fait de soumettre les services numériques à la taxe carbone prend de l'ampleur. Si 1500 TWh d'énergie électrique fortement carbonée sont vraiment utilisés en 2032 par les datacenters IA, cela se traduirait par environ 650 millions de tonnes d'émissions de CO2 (plus que la France). A peu près ce qu'émet l'Allemagne par an. Si on taxait ces émissions, par exemple avec le Carbon Border Adjustment Mechanism, à 100 Euros la tonne, cela ferait tout de même 65 milliards d'Euros. Même si seuls une fraction de ce montant serait concerné par le passage des frontières européennes, il s'agit probablement d'un montant pour l'Europe en dizaine de milliards d'Euros, sans compter du fait que d'autres pays mettent en place des CBAM, dont la Chine. Les investisseurs ne sont pas idiots ; ils savent bien qu'à moyen terme, cette dynamique est incontournable.
Un autre aspect qui mérite de l'attention, c'est de connaître la nature des clients de ces datacenters : s'il s'agit d'Hyperscalers ou même de sociétés comme CoreWeave ou Crusoe, cela signifie que la valeur ajoutée française s'arrêtera à la fourniture d'énergie et d'agents de gardiennage. Il est impératif qu'une partie (ce que l'on aurait dans un autre temps appelé le Iaas et éventuellement un bout du Paas) soit produite et opérée en France. Or, pour l'instant, les informations connues "The ultimate customers and providers of the computing equipment for its French facility have not yet been determined" sont pour le moins opaques à ce propos, ce qui semble privilégier l'approche hyperscaler, ou opérateur américain pour hyperscaler. Si cela devait être le cas, les 65 milliards d'Euros ne seraient que virtuels : la part de valeur ajoutée qui resterait dans ce pays se limiterait au coulage de béton et à quelques à cotés. Il est donc impératif d'avoir une meilleure connaissance des termes envisagés avant d'avancer de façon définitive. Au delà de l'importance des chiffres, le diable est clairement dans la nature du deal.
https://t.co/baquKFs1OO via @FT
🇪🇺 HISTORIC MOMENT: THE EUROPEAN UNION SETS A DATE FOR UKRAINE'S ACCESSION TALKS! 🇺🇦🤝
It's official: the door to Europe is opening even wider for Ukraine. The European Union has finally agreed on a specific date to begin formal negotiations on Ukraine’s membership.
Ukraine has come a long way, and the final stretch toward becoming a full member of the European family now lies ahead.
This is recognition of the country's efforts, resilience, and commitment to its European path. The process is now moving from declarations to practical negotiations.
Are you ready to see Ukraine join the European Union? 🇺🇦🇪🇺
40 years since the EU flag was raised in front of our headquarters in Brussels for the very first time.
Twelve stars.
A single market.
Four decades of standing together for unity, solidarity, and diversity.
The symbol that fosters Europeans’ sense of community. 🇪🇺
Microsoft just banned its own engineers from using AI.
The tool was literally costing MORE than the humans it was supposed to replace.
They lied to you about AI adoption and now the whole narrative is blowing up:
Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it.
Engineers loved it and adoption exploded. But then the invoices arrived.
Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead.
The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much.
Uber's story is even worse...
Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April.
Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems.
Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session.
The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money.
Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote:
"For my team, the cost of compute is far beyond the costs of the employees."
This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans.
Think about what this means for the entire AI narrative.
Every CEO on every earnings call for the past two years has said the same thing:
AI will make us more efficient, reduce headcount, and cut costs.
The stock market rewarded every company that said it.
Fired workers, stock goes up. Announced AI adoption, stock goes up.
But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill.
Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools.
Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible.
Both companies are spending hundreds of billions on AI infrastructure this year alone.
And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control.
The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP.
This is the gap nobody on Wall Street is pricing in.
$725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work.
What do you think?
Voilà ce que devraient être des rapports normaux entre tous les pays du monde.
Ces images redonnent foi mais bien sûr ne feront pas la une des chaînes d’infos
People mock the EU as “bureaucracy”.
But that bureaucracy turned a continent of borders, currencies and wars into a space where 450 million people can travel, pay, call, study and work almost as if it were domestic.
That is not boring.
That is civilization becoming usable.
Europe's biggest technology companies call for a United Europe.
CEOs of Airbus, ASML, Ericsson, Mistral AI, Nokia, SAP, and Siemens:
"Let's act as One Europe, Now"
A 14 year old in America quit his weekend shifts at Domino's after he realized he could make more money during one lunch break with a laptop than an entire weekend making pizzas for $8.50 an hour.
He was sitting in a coffee shop googling roofing companies near his house for a school project about local businesses. Noticed something. JM Roofing 3rd Generation. 5.0 stars. 49 reviews. Family owned. Three generations. Located in LA.
No website.
A company with a perfect rating and 49 reviews and no website. He checked another roofing company. Same thing. Then a plumber. Same thing. Then a landscaper. Same.
He opened Claude Code on his laptop and typed: write me a cold outreach script for local businesses that have great Google reviews but no website. Make it sound like I'm a professional web agency.
Claude wrote it in 30 seconds.
He called JM Roofing. The owner picked up. He said: I found your company on Google Maps, you have 49 five star reviews and no website. I built you one. Can I show you?
The owner said: I've been meaning to do that for years but never had time.
The kid shared his screen. A full website. Clean, modern, black and gold. Hero section. Services page. Reviews pulled directly from Google. Booking button. Built in 47 minutes using AI tools and Claude Code while sitting in a coffee shop.
The owner said yes on the spot. Invoice: $1,000.
47 minutes from first Google search to a closed $1,000 deal. His pizza shop shifts paid $60 for 6 hours of work.
Then he built a system. Claude Code scrapes Google Maps for businesses with high ratings and no website. Filters by category, location, review count. Pulls 200 results in 10 minutes. Then Claude writes a personalized email for each one using their real business data, their name, their rating, their review count, their address.
500 emails a day. 3% respond. That's 15 new leads every single day without him doing anything.
Month one: $4,000. Month three: $11,000. Month six: $18,000. All from finding businesses on Google Maps that have great reputations and no website, building one with AI in under an hour and calling them before anyone else does.
He recorded a 47 second video showing the entire process from Google Maps search to finished website to invoice sent. Caption: this is your sign to quit your job.
He's 14. He doesn't have a job to quit. He has something better. A laptop, Claude Code and 5 million businesses on Google Maps still waiting for that call.
His pizza shop manager asked why he quit. He said he found better work. The manager asked where. He said Google Maps.
The manager didn't understand. The kid didn't explain. He was already in the coffee shop building the next website.
$1,000 per site. One hour per site. 15 leads per day. The math doesn't need Claude to figure out. But Claude does the work.
Pour la première fois, un dirigeant occidental majeur a dit à voix haute ce que beaucoup en Europe pensaient en privé : l'article 5 de l'OTAN – la garantie qu'une attaque contre un est une attaque contre tous – ne peut plus être tenu pour acquis. Et ce n'est pas un ennemi qui l'a mis en doute. C'était Washington.
Il y a désormais un doute sur l'article 5, non pas formulé par les Européens, mais par le président des États-Unis », a déclaré Macron à Athènes, aux côtés du Premier ministre grec.
Macron pointe désormais du doigt quelque chose dont la plupart des gens n'ont jamais entendu parler : l'article 42.7, enfoui dans le traité de Lisbonne de l'UE et ignoré pendant des décennies. C'est la propre clause de défense mutuelle de l'UE : si un État membre est attaqué, tous les autres sont obligés d'aider par tous les moyens à leur disposition. Macron l'a qualifié de plus fort que l'article 5, avec « aucune place pour l'interprétation ou l'ambiguïté » et, de manière cruciale, il ne nécessite pas la bénédiction de Washington.
Elle a déjà été utilisée. Lorsque Chypre a été menacée dans les premiers jours de la guerre en Iran, la France, la Grèce, l'Espagne, l'Italie, les Pays-Bas et le Portugal ont précipitamment déployé des moyens militaires sur l'île – le premier véritable test de l'article 42.7 dans une crise réelle. Le Premier ministre grec Mitsotakis l'a qualifié de « gamechanger ». Il a été honnête sur la raison pour laquelle on l'avait ignoré auparavant : « Nous n'en avons jamais parlé parce que nous pensions que l'OTAN s'en chargerait toujours. » Cette présomption a disparu.
Les dirigeants de l'UE élaborent désormais un manuel formel sur le fonctionnement pratique de la clause. Le président du Conseil européen Costa l'a confirmé sans détour : « Nous concevons le manuel sur la manière d'utiliser cette clause d'assistance mutuelle. »
Quelque chose que les politiciens européens ont évité pendant des décennies est désormais débattu ouvertement.
Après sa déclaration contre le #RN, Giorgia Meloni est contre la proposition américaine d’inviter Poutine au prochain sommet du G20. Elle dit que Trump a déjà fait trop de concessions à la Russie et qu’il est temps d’exiger que la Russie se retire d’Ukraine.