Patrick O'Shaughnessy

Patrick O'Shaughnessy × Neil Movva

Sola Research is repositioning inference around long-running background agents, forecasting workloads shift from 50/50 background and real-time by year-end to 90/10 long term as cheaper tokens unlock unbounded demand.By trading latency for throughput, using overlooked chips and 1MW sites with 95% uptime, Movva targets radically lower costs, while KV-cache waste, idle GPUs, HBM supply, and the durability of frontier labs’ three-to-six-month premium remain key watchpoints.

Patrick O'Shaughnessy × Gavin Baker

Gavin Baker argues that the AI selloff lacks a clear demand break: GPU rental prices, DRAM, tokens, and inference usage are accelerating, while open source shifts margins toward infrastructure rather than eliminating compute demand.Credit and regulation are the real catalysts to monitor, but expiring contracts could reprice installed GPUs sharply higher; Baker also sees SpaceX as an underappreciated compute platform, contingent on power, financing, and political acceptance.

Patrick O'Shaughnessy × Alex Sacerdote

Anthropic’s agentic coding release helped reverse Whale Rock’s view, supporting its August 2025 investment at the $180 valuation after it passed on the $60B round.Enterprise AI is less than 1% penetrated, yet Anthropic has only half the compute it needs, while a three-horse model oligopoly and infrastructure bottlenecks support monitoring adoption, supply, and the risk that open source catches up.

Patrick O'Shaughnessy × Dara Khosrowshahi

Uber is making AV supply its moat through 30+ partnerships, financing, depots, charging, and insurance; network vehicles are 30% or more busier, improving fleet ROI.The upside is a potential trillion-dollar marketplace, but AI budget overruns, Chinese manufacturing advantages, social backlash, and execution in Uber One and hotels remain risks.

Patrick O'Shaughnessy × Gavin Baker

Anthropic added $11B of ARR in March while tech reached its cheapest relative valuation in 10 years, making the drawdown a differentiated demand signal rather than a capitulation event.At a rumored $900B on $50B ARR, Baker estimates unconstrained run-rate revenue of $100–200B, while TSMC’s capacity choices remain the key bubble test and orbital compute threatens terrestrial power-and-cooling ramps.

Patrick O'Shaughnessy × Gavin Baker

Anthropic added $11 billion of ARR in one month, while Asian AWS prices doubled, GPU availability fell, and DRAM went vertical as reasoning increased inference demand.Baker sees compute-constrained revenue upside, but TSMC capacity remains the key test for whether AI becomes an infrastructure bubble.

Patrick O'Shaughnessy × Dylan Patel

SemiAnalysis’s Claude Code spend has reached a $7M annual run rate against $25M of salaries, while Anthropic’s revenue growth implies a 72% gross-margin floor and pricing power that still may not clear capacity constraints.Mythos’s reported L4-to-L6 leap, selective cybersecurity access at 5–10x token cost, and sold-out DRAM, GPUs, CPUs, and fab equipment make compute supply and deployment breadth the key catalysts to monitor.

Patrick O'Shaughnessy × Gokul Rajaram

Long-horizon agents that are “resilient to failure” are moving product development bottoms-up, with PMs committing code and PM-to-engineer ratios heading toward 1:20.That shift elevates judgment and self-serve execution while pressuring thin AI applications, seat-priced software, and ad middlemen; durable businesses will need control of data, money, workflows, or networks, with agentic interfaces and outcome-based pricing key signals to monitor.

Patrick O'Shaughnessy × Gavin Baker

Gemini 3 reaffirmed pre-training scaling laws, while reasoning bridged an 18-month gap and points to potentially exceptional Blackwell models.GB300 could shift low-cost token production from Google to vertically integrated Blackwell users, as ASIC economics narrow the field toward TPU and Trainium and C.H.Robinson’s quantified gains show ROI is arriving through inference.

Patrick O'Shaughnessy × Dylan Patel

The OpenAI–Nvidia arrangement shifts enormous balance-sheet risk through gigawatt-scale commitments, while token-cost declines and scaling economics keep demand for compute tied to continued model improvement.Google and Meta emerge as favored platform positions, but neoclouds and AI software face contract, debt, hardware-obsolescence, and gross-margin risks as China accelerates its semiconductor and data-center buildout.