Anthropic S-1 Analysis: How 7 Key Metrics Stack Up
Analyze Anthropic's S-1: $4.6B revenue growing 11.9-fold, a derived 40% gross margin, $974M operating profit in Q2, & $637B of compute commitments against $1T+ of capital.
Read moreAnalyze Anthropic's S-1: $4.6B revenue growing 11.9-fold, a derived 40% gross margin, $974M operating profit in Q2, & $637B of compute commitments against $1T+ of capital.
Read moreMajor build-outs run in two phases, per Carlota Perez: the infrastructure, and then the applications that pay for it. The internet took seven years to close the …
Granola's VP of Sales on why AI-era teams run smaller & quotas run bigger : eight-figure deals in two weeks, quarterly comp plans, & a sales pod that splits by …
Yesterday brought significant data to assess precisely the health of inference business models, & the data suggests they are quite healthy, even before the …
Anthropic is the smallest & fastest-growing of the four clouds. At $1.5t to $2t, it would be valued equally to a standalone GCP.
Five frontier models now tie on intelligence within five points while their cost per unit spans 3.8x. Google's own silicon explains the gap, & every other lab …
Every year we run an AI survey. Four results surprised us : security became the top pain with the weakest tooling, builders route queries on cost but not on …
Bardia Shahali, VP of Sales at Granola, on how AI-era sales teams run smaller, ramp faster, and change who you hire and how you compensate reps.
AI models have commoditized as prices fall 41% while tokens surge 50%. The winning strategy is partnering, owning the interface, & harvesting routing data.
Vercel's COO on how the company actually built an inbound sales agent: a 125-line prompt written by the top SDR, six weeks of human QA, & the moment the prompt …
AI inference will pass the $161b database market on its way to ~$350b in 2027, mutating every application into an inference reseller & upending classic software …
Vibe-coding is growing software in parallel petri dishes. State machines and formal verification design it. In this new era, we'll need both.
Tokenized real-world assets are compounding at 53% a month, more than twice as fast as Anthropic. Stocks & commodities now trade on blockchains 24/7, powered by …
Anthropic & OpenAI both re-rated their run rates in 2026 by segmenting : a mandatory enterprise repricing against an 80% price cut on the cheapest tier.
GPU rental prices doubled in six months while inference prices kept falling. The reconciliation is efficiency : the hinge that turns scarce silicon into cheap …
Software engineering has evolved into systems architecture. 37signals, Artemis & SpaceXAI all report the same shift : agents write the code, engineers design …
The AI market's center of gravity is mid-tier inference, & three forces are driving its prices down : lab rivalry, open weights & fine tuning.
Machine-native models replace human-facing text generation with zero-token typed execution, cutting inference costs by orders of magnitude for basic programming …
New Berkeley data shows the right harness cuts the cost of the same result by 71% with no loss of accuracy. Two startups selling that result at the same price …
Vercel took its inbound SDR team from 10 to 1.25, automated 90% of sales development, & runs the whole thing for single-digit thousands a year. The SDR function …
Dario Amodei asked the industry to pace itself. Five camps answered, each with a price for what a pause would cost & none with a number for how long it should …
OpenAI's data reveals researchers log 3.1 agent-workdays for every 8-hour shift, burning up to $2.5m annually on inference. Software engineering is shedding its …
On February 6, 2026, agents consumed more tokens than humans & never gave the lead back. AI consumption arrives in three waves, each an order of magnitude …
AI data center buildouts will require an estimated $4t in debt financing over the next five years. Here is how that credit demand compares as a percentage of …
Meta's dual-tier AI pricing introduces an explicit barter : a 92% discount on inference in exchange for your data. Applying Michael Mauboussin's insight that …