Samsung bets big on AI 🇰🇷 Korean tech giant
Samsung just announced plans to buy and deploy 50,000 Nvidia GPUs — a massive move aimed at supercharging its chip manufacturing for mobile devices and robotics. 💡 The partnership is another win for Nvidia, whose GPUs remain the gold standard for building and deploying advanced AI systems. 🔧 Samsung also confirmed it’s working with Nvidia to optimize its 4th-gen HBM (High Bandwidth Memory) for next-generation AI chips — a move that could reshape the global AI hardware landscape. 👉 The AI arms race just got another heavyweight upgrade.
💥 Microsoft’s latest SEC filing quietly revealed a lot about OpenAI’s finances.
According to the numbers, OpenAI lost roughly $11.5 billion last quarter — a figure inferred from Microsoft’s own disclosures. 📊 With a 27% stake in OpenAI, Microsoft recorded a $3.1 billion hit to its net income, pointing to massive operating losses at its AI partner. 💸 The filing also shows Microsoft has now funded $11.6 billion of its $13 billion total commitment to OpenAI — and those losses are now being reflected directly in Microsoft’s earnings under equity accounting rules. 🤔 The takeaway: the AI boom is incredibly expensive, and even the biggest players are feeling the weight of the burn rate.
🚀 Big Tech just confirmed it — the AI spending boom is still in fire 🔥
This week’s earnings from the MAG7 show that AI CapEx is accelerating into 2026, powered by massive, structural demand that shows no signs of slowing. 💰 This investment wave isn’t just a side story, it’s the engine driving the bull market. 👀 Now the big question everyone’s asking: Will the rumored OpenAI IPO mark the peak of the AI bull run… or the next leg higher? Source: WSJ
The cost of insuring against an Oracle default has surged following the company’s massive Q3 AI investment announcements – reaching levels not seen outside periods of major macro stress.
According to Goldman, Oracle’s CDS spreads have become a key sentiment indicator for the market’s appetite to finance large-scale AI spending. Source: HolgerZ, Bloomberg
Tough time for the young generation...
Companies that have adopted AI aren't hiring fewer senior employees, but they have cut back on hiring juniors ones. Source: Crémieux @cremieuxrecueil on X
Big Move in AI + Mobility!
On Thursday, $NVIDIA dropped a game-changing announcement — it’s partnering with Uber Technologies to push the frontier of autonomous driving. Here’s what’s exciting 👇 🚗 Uber brings massive real-world driving data from millions of trips. 🧠 NVIDIA brings its Cosmos World foundational model — built to power self-driving intelligence. ⚡ Development will run on NVIDIA DGX Cloud, supercharging the entire training pipeline. The market noticed: Uber’s stock jumped after the news, as investors saw this as a strong move to cement Uber’s edge in next-gen transportation tech..
IBM’s post-earnings selloff wasn’t about the numbers — it was about the narrative.
On paper, the results were great: ✅ Revenue & earnings beat expectations ✅ Guidance raised ✅ Record free cash flow But in the AI era, “good” isn’t good enough. Investors wanted explosive AI-fueled growth. What they got was solid execution — and that’s not what the market is rewarding right now. This is the re-rating of expectations in real time. IBM is doing a lot right, but markets are chasing narrative velocity over operational discipline. Source: EndGame Macro @onechancefreedm
OpenAI has reportedly hired over 100 former investment bankers from firms like Goldman Sachs, JPMorgan, and Morgan Stanley
“Project Mercury,” is a secret effort to train AI models to automate junior bankers’ grunt work. Participants are paid $150/hour to build financial models and write prompts for tasks like IPOs and restructurings, with the goal of teaching AI to replicate analysts’ workflows. Contractors submit one model per week and receive feedback before integration into OpenAI’s systems. Source: Wall St Engine @wallstengine
