From Starbucks To Pizza Hut, Microsoft & Uber: Major Firms Pull Back From AI After Massive Losses. https://
youtu.be/dGRbKGfbdzo?si
=365hvDKUYF57fita
… via @YouTube #AI #artificialintelligence #tech @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA
ECONOMY
-
Major Firms Pull Back From AI After Massive Losses
By
–
-
WordPress categories covering AI topics
By
–
Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
-
Organizations overspending on AI token budgets highlights cost-management gap
By
–
I have heard from quite a few large organizations that blew through their entire token budget in the first couple months of the year. There aren't even good processes for thinking through how token costs will change over time.
-
Agentic AI Production Adoption Slower Than Tech Hype Suggests
By
–
There are not a lot of signs of agentic AI ramping into production at normal companies so far. There is a lot of boosterism from tech companies about agentic AI. Without trillions spent on agents by enterprises, the whole thing could come crashing down… Kudos to Tavis McCourt
-
Debate over Token Allocation as AI Becomes Essential for Coding
By
–
The fact that tokens went from something no one even put in a budget line a year ago to an absolute requirement for coding now is the cause of handwringing, not that AI is not turning out to be useful No one knows who should get tokens, how much they should get & how to control
-
AI Triggers Parallel Crises: Social Anger and Financial Anxiety
By
–
L’IA déclenche désormais deux mouvements parallèles : la colère populaire et l’angoisse financière. D’un côté, des cocktails Molotov, des conférences sifflées, 120 000 emplois détruits, et seulement 18% de la génération Z qui y voit un espoir. De l’autre, 750 milliards
-
MIT Study: AI Agent Token Costs Dominate Inference Economics
By
–
MIT just killed the idea that cheaper tokens mean cheaper AI. A paper from MIT, Stanford, Google DeepMind, and Microsoft found agents use 1000x more tokens than chat. The cost isn't the code they write. It's re-reading context on every loop. Same task, same model: 30x cost
-
Uber COO Questions Returns on $3.4B AI Spend
By
–
Uber burned $3.4 billion on AI in four months. Their COO now says it's not paying off. And everyone's blaming Uber instead of asking the obvious question. This is Uber. Not some seed-stage startup guessing. They have more data than most countries. They ran the experiment. They
-
Cheap AI Could Derail OpenAI Anthropic IPOs
By
–
Cheap AI could derail OpenAI and Anthropic's IPOs https://
youtu.be/q6WWY6q2-ac?si
=W_F3A3fIU0EGEGq2
… via @YouTube #AI #OpenAI #anthropic #IPO @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroney @tlloydjones @Nicochan33 @jeancayeux @RLDI_Lamy @pierrepinna -
DeepSeek AI Economics: Margin, Pricing, and Cost Structure
By
–
Margin is the third lever. DeepSeek trained with no outside investment money and still sells API quota at a profit. They don't have demanding a return, which lets them price closer to actual cost.