Institutional-grade equity research on AI infrastructure, power, and the capital cycle. Synthesized from the same data pipeline that feeds the MCP endpoint.
Chamath says Meta should have gone scorched earth two years ago but power constraints make the timing better now. The Q2 earnings call and a $50 billion Louisiana bet show why he is half right.
Hadrian's $7.87B Series D is a bet that AI can rebuild American manufacturing. Public comps like Rockwell and Emerson show the opportunity and the valuation trap.
From open-source champion to closed API: why Meta killed its scorched-earth strategy and what $130 billion in capex needs to prove
18 handles, 22 mentions, forward P/E 17x — and Jim Chanos asks why NVDA doesn't lease GPUs for 3-5 years and capture 200-400% margin instead of 75% on a sale
DeepSeek's $1.5B Flash ARR does not add up. The only disclosed number is $205M theoretical max. NVDA's mix still favors closed-model inference spend.
Wells Fargo says $8.34M, Bernstein says $9.1M, Morgan Stanley says 78% token margin — mapping who wins and loses
Podcasts called it a leverage event, not a demand break. The data agrees.
First public earnings beat, Starlink hits 12M subs, AI capex hits $15.8B, and the math behind the $100B run-rate claim
CXL PNM moves compute to memory to solve the long-context KV-cache bottleneck. Flow flipped to accumulation today, options chase upside, but adoption hinges on server and software support.
DeepSeek V4 Flash at $0.14 per million tokens makes $8.69 per GPU hour at sparse attention speed, but loses money at normal reasoning speed. Verified revenue is $500M annualized, not $1.5B. Chinese private labs combined do $2.6B versus OpenAI alone at $25B.
Morgan Stanley's Aug 3 note sparked the open vs closed debate again. Enterprise production data says closed still wins spend, open wins volume. Meta's Llama stumble changes the open-weight map.
The largest open-weight model yet claims second only to Anthropic's Fable 5. BABA popped 4.5% but US AI stocks rallied too — the market sees cost pressure, not a Sputnik moment.
Capability is accelerating on longer-horizon tasks, but options flow and compute markets show no recursive AGI loop yet
The problems are real, the proofs are Lean-verified, and the $2,000 price tag is not what it looks like. But this lands at a moment when OpenAI needed a win.
The Indian IT industry built a $300 billion empire on human labor arbitrage. AI coding agents are the GLP-1 of that model. The difference: Infosys still has time to pivot.
A pure post-training overhaul pushed DeepSeek's cheapest model within one point of GPT-5.6 Luna. But OpenAI cut Luna's price 80% the day before — the inference price war is on.
Two hyperscaler prints, 24 hours apart, drew opposite verdicts from the market. The difference isn't about who spends more. It's about who can point to the revenue.
The market just priced in a memory-cycle peak. The physical data says the opposite: HBM is sold out through 2027, conventional DRAM is in outright shortage, and the two leading memory stocks trade at 4x to 5x forward earnings while growing revenue 200% to 300% year over year.
At 9x forward earnings and a 9.8% FCF yield, Adobe is the cheapest large-cap software stock in the market. The AI disruption thesis is unproven — but the street is split down the middle.
The buildout is now 75 percent borrowed money. That means the bond market, not the stock market, decides what happens next.
The world's largest private capital firm is treating GPU clusters like office buildings. The data says they're right.
40% of announced datacenter projects are dying. Bloom Energy just printed its first billion-dollar quarter. TSMC raised capex because tool prices are inflating. And the semicap selloff is fighting its biggest customer.
First GAAP profit. $1.2 billion in net cash. AI in 16 of 20 top deals. And a stock price that still trades like a melting ice cube.
AWS is growing at 28%, the AI buildout is accelerating, and the 2027 capex signal could be the real shocker. The Bargo 2.5x model explains why.
The Bargo 2.5x tokenomics model says capex must rise. The model says the spending is clearing. Here's what the numbers say before the print.