Elad Gil

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.

Elad Gil × Glenn Fogel

Booking’s Penny is emerging as a personalized travel concierge, with adoption reportedly doubling monthly and a stronger long-term opportunity in repairing disrupted itineraries than merely shortening search.The investment test is still unresolved: token costs, routing, conversion, cancellations, loyalty, and lifetime value must justify roughly $700 million of annual multi-initiative spending, while scale remains an advantage rather than a moat.

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.

Sarah Guo × Elad Gil

The “SaaSpocalypse” overgeneralizes a real shift: Decagon and Sierra show support moving from per-seat software toward usage-priced agents, while products such as Samsara retain hardware, distribution, enterprise sales, and support moats.GPT-4-equivalent pricing fell 150x in 21 months as Gil’s team puts AI labs’ growth from $1 billion to $10 billion at roughly a year, shifting the bottleneck to trustworthy human review and defenses against one- to two-year displacement cycles.

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 × Elad Gil

AI adoption is “blinding” among doctors, lawyers, and compliance teams, even as a weak Nvidia quarter could trigger panic; verticals such as coding, medical scribing, and legal software such as Harvey are consolidating.Monitor robotics timeline slippage and whether an AI IPO becomes a reflexive benchmark trade; Sarah forecasts somebody will make “hundreds of millions of dollars trading markets with LLMs” in 2026.

Jared Kushner × Sarah Guo × Elad Gil

Affinity Partners seeks returns through governance judgment, networks, and hands-on execution, while favoring Gulf and Latin American tailwinds and contrarian opportunities such as Albania.BrainCo is productizing reusable AI infrastructure for institutions, with a permitting workflow reduced from over 40 steps to 35 at over 90% accuracy; adoption, talent, project selection, and energy permitting remain key constraints.

Qasar Younis × Peter Ludwig × Elad Gil

Applied Intuition has reached a $15 billion valuation, more than 1,000 employees, hundreds of millions in revenue, and sustained profitability by extending engineering tools into a vehicle operating system and autonomy applications.Its compatibility layer could remove thousands of dollars in hardware as autonomy approaches mainstream US vehicles within five years, but potential commoditization by 2030-2035 creates a critical risk to recouping $12 billion-$15 billion development costs.

Sarah Guo × Elad Gil

DeepSeek’s R1 is a genuine open-source reasoning advance, but its reported $5.5 million final run was not the full program, tempering claims that frontier AI has become cheap.GPT-4-equivalent inference costs fell 180x in 18 months, while Deep Research raises the analyst bar but still requires users to audit outputs.Frontier clusters may retain distribution and recursive research advantages, yet 2025’s opportunity map favors vertical AI, agents, autonomy, and domain-specific data generation.