Sarah Guo

Rene Haas × Elad Gil × Sarah Guo

Arm moved from IP licensing into physical silicon with the Arm AGI CPU after Meta sought a general-purpose agentic CPU no one else could provide.AI reaches 80% to 90% of engineers, while Arm’s documentation and test benches may make proprietary IP more trainable; supply may remain constrained for 3 to 5 years, with data-center construction a possible next bottleneck.

Sarah Guo × Elad Gil × Lip-Bu Tan

Lip-Bu Tan’s Intel turnaround starts with faster accountability, balance-sheet repair and product simplification, while inference and agentic AI could lift CPU demand from one per eight GPUs toward one per four or one per one.Intel Foundry remains a costly trust and supply-chain bet against TSMC, with IP, yield and cycle time as the proof points; its potential may surface around 2030–2032 as packaging, power and materials become harder bottlenecks.

Elad Gil × Sarah Guo × Andrew Feldman

Cerebras says useful AI in 2025 made inference latency a daily constraint, with systems running 15, 18, 20x faster than GPUs.G42’s $1 billion order enabled cluster testing, while an OpenAI agreement Feldman says exceeds $20 billion and an AWS deployment raise the stakes for a 10x manufacturing increase this year.Delivery and governance now matter as much as contrarian architecture.

Tuhin Srivastava × Sarah Guo × Elad Gil

Baseten’s growth reflects an application-led inference market where more than 95% of tokens run on dedicated deployments and almost every customer customizes models for quality or performance.Proprietary workflow feedback creates the application moat, while scarce GPUs, three-to-five-year commitments and roughly 20% TCV prepayments make capacity and capital allocation material risks as cheaper inference expands demand.

Sarah Guo × Elad Gil × Jensen Huang

Reasoning, search grounding, and confidence routing have made tokens valuable enough for customers to pay, while AI factories expand demand for chips, energy, construction, electrical, networking, and technical labor.Falling inference costs, open-source research, programmable hardware, and vertical specialists challenge permanent frontier concentration, but industrial deployment still requires reliability approaching 99.99999%; energy capacity, export controls, robotics adoption, and sustained demand will test NVIDIA’s anti-bubble thesis.

Sarah Guo × Dylan Patel

OpenAI’s expected compact, reasoning-heavy open model could push intelligence pricing below the frontier, while inference differentiation shifts from kernels toward orchestration, networking, reliability, and physical infrastructure.Roughly 200 neoclouds face consolidation as GPU economics diverge, while NVIDIA’s hardware, networking, and software moat remains difficult to replicate; bottlenecks in power, packaging, labor, and export policy are the next constraints to monitor.

Sarah Guo × Elad Gil × Matthew Prince

Cloudflare is rebuilding beyond CDN for an AI-shaped internet, with 80% of major AI companies as customers and potential roles in security, edge inference, crawler permissions, and payments.AI has made equivalent Google clicks ten times harder than a decade ago, while Cloudflare’s blocked-by-default training access and proposed granular permissions could create content scarcity, though Google’s privileged access and evasive crawlers remain key risks.