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
The Evolutionary Layers of AI
Source: Panagiotis Kriaris
According to Oxford Researchers, the share of articles that are written by AI is now larger than the share of articles which are human created.
AI content went from ~5% in 2020 to 52% by May 2025. Projections say 90%+ by next year. Why? AI articles cost <$0.01. Human writers cost $10-100. The issue is the following: when AI trains on AI-generated content, quality degrades. Rare ideas disappear. Source: Ask Perplexity
Quotes from Barron's & chart from McKinsey on AI CAPEX...
Source: Bloomberg, McKinsey, RBC
It's not just a stock bubble: AI is also now the largest sector in investment grade credit.
According to JP Morgan, AI-related companies now make up around 14% of the entire investment-grade debt market, with over $1.2 trillion in outstanding debt. It shows just how massive and expensive the AI buildout has become. These companies are financing data centers, semiconductor plants, and cloud infrastructure at a pace we haven’t seen in years. Much of the AI revolution is being funded by the debt markets. Every new data center, chip fab, and GPU cluster requires capital. It’s not just Big Tech spending cash reserves, the entire credit market is fueling AI growth. Source: JP Morgan, StockMarket.news
