

Léa | Bourse & Stratégies
11.7K posts

@LeaBourseFR
Une Stanford Med qui parle finance 📈 Fondatrice du plus grand Discord Finance FR (17 500 membres)



BREAKING: IBM stock, $IBM, collapses nearly -20% after posting weaker than expected earnings due to “weakness in the software and infrastructure business.” The stock just erased -$55 billion in market cap.



L’investisseur le plus dangereux n’est pas celui qui panique. C’est celui qui vient d’avoir raison plusieurs fois de suite. Parce qu’à partir de ce moment-là, il commence parfois à faire confiance à son intuition… Plus qu’aux probabilités.



🦔OpenAI told investors it expects $2.5 billion in ad revenue this year and $100 billion by 2030. Emarketer, which tracks ad spending, estimates the entire US chatbot ad market (ChatGPT, Copilot, Gemini, Alexa combined) will generate less than $1 billion this year and $5.41 billion by 2030. That means OpenAI is projecting nearly 20x more revenue than an independent analyst thinks the whole market is worth. The $100 billion target would require OpenAI to match in four years what Meta took 17 years to build. CPMs have already dropped from $60 to $25 within the first nine weeks of the ad pilot. My Take These projections were made to investors ahead of an IPO. That's all you need to know about why they look the way they do. OpenAI needs a revenue story that justifies its valuation, and subscriptions alone don't get there. So now they're an advertising company too, competing against Google, Meta, and Amazon with a product that launched its ad pilot five months ago. The $100 billion number assumes 2.75 billion weekly users by 2030. They have 900 million today and their market share is shrinking as Gemini and Claude grow. Chatbot ads also have a basic product problem. You can't load a conversation with ads the way you load a search results page. Users are in a chatbot because they want a direct answer, and inserting an ad into that flow irritates rather than converts. CPMs already fell 58% in the first two months. That's advertisers learning in real time that engagement inside a conversation looks very different from engagement on a search page. Hedgie🤗

Warren Buffett: "Interest rates are the basis of all value." "If you knew interest rates were going to be zero for a hundred years, you would think 1% was a great rate of return. But you also would know if you bought something yielding 1% and rates went to 8%, you'd lose practically all of your capital." "It's an enormous factor, [but] we don't know the answer." (CNBC || 2020)





Fun fact: Apple store in Taiwan looks like a giant MacBook from above

Pour "survivre", l'État américain emprunte 39 milliards de dollars... par semaine: pourquoi les très libéraux américains sont encore plus endettés que la France l.bfmtv.com/kykd





🤖 L'IA ne « va » pas supprimer des emplois. Elle le fait DÉJÀ, par dizaines de milliers ! Le décompte 2026 des entreprises qui licencient en citant l'IA (recensé par TechCrunch le 6 juillet) : ❌ Oracle : 21 000 postes en 12 mois, soit ‑13 % des effectifs ❌ Block (Jack Dorsey) : 4 000 postes, quasiment la MOITIÉ de la boîte ❌ Cloudflare : 20 % des effectifs... avec un chiffre d'affaires record (+34 %) ❌ Intuit : ~3 000 postes (‑17 %) ❌ Amazon : ~30 000 postes corporate depuis octobre Le détail qui tue : ces boîtes ne vont pas mal. Elles licencient en pleine croissance, pour réinjecter le cash dans les data centers. Votre poste n'est plus menacé par la crise. Il est menacé par le budget GPU de votre employeur. #investissement #patrimoine #finance #economie #tech #licenciements #ia #moneyradar





96 out of every 100 US companies never made their investors any money. A new study from Arizona State tracked every stock listed on US markets from 1926 to 2025. That is 29,754 stocks over 100 years. The market created $90.96 trillion in that time. All of it came from just 1,082 companies. The other 27,999 gave investors nothing. Most stocks lose money. Only 48% of stocks made any money at all. Only 41% beat a savings account. 59% of companies lost money for shareholders. The median stock lost 6.87%. But the average stock returned 30,621%. That gap is the whole story. A few enormous winners pull the average up while most stocks bleed. So who were the winners? • Apple: $5.02 trillion • Nvidia: $4.58 trillion • Microsoft: $4.03 trillion • Alphabet: $3.57 trillion • Amazon: $2.27 trillion These are not market caps. This is total wealth created for shareholders since the company listed, measured against what that money would have earned sitting in Treasury bills. Apple and Nvidia alone made 10.6% of all the wealth the US market has created since 1926. The same researcher ran this study in 2018 with data through 2016. Back then it took 89 companies to make up half of all the wealth ever created. Nine years later, it takes only 46. In the 90 years up to 2016, the top 30 companies made 31% of all the wealth. In the nine years since, the top 30 made 61%. Nvidia by itself made 9.32% of everything created since 2017. Concentration doubled in nine years. And those nine years are exactly the years the AI trade took over the market. The typical company got worse at the same time. In the first six decades of the study, the median stock returned 63.6% per decade. In the last four decades, it dropped to 5.8%. The market kept going up. Most companies stopped going up with it. People keep saying the S&P is being carried by a handful of AI stocks, as if this is something new. It is not. The market has always run on a tiny number of winners. What changed is how few of them there are now.

🌉 Pourquoi le Canada et les États-Unis ont-ils construit un pont à 4 milliards d’euros ? 🔎 Après huit ans de travaux, le pont Gordie Howe s’apprête à ouvrir entre Windsor et Détroit. Et pourtant, les deux villes avaient déjà un pont qui les reliait.



Immobilier: un ménage français sur trois envisage de déménager à cause des fortes chaleurs



