Elad Gil

Sarah Guo × Elad Gil × George Kurtz

AI is flattening attackers’ hierarchy: Kurtz cites 29 minutes on average to move beyond initial compromise, with a fastest observed 27 seconds.CrowdStrike’s AIDR traces agent identities, subagents, tool calls and data access; Kurtz sees agent security as potentially larger than endpoint protection.Kurtz says a leading cybersecurity frontier model probably costs about $10 versus CrowdStrike’s about 3 cents; “low and slow” attacks may be harder to identify.

Sarah Guo × Elad Gil × Greg Brockman

Brockman says AI is now creating reusable mathematical insight, with almost 400 important open problems solved through unexpected combinations of ideas.Drug development offers the clearest disruption case: a roughly 15-year, $1.5 billion process could accelerate in literature review, simulations, experiments, and regulatory writing, but biological data and long-term outcomes remain constraints.As code approaches near-zero cost, Brockman predicts cybersecurity spending should “far exceed software spending,” while OpenAI’s defender’s window and recurring model-led security testing remain catalysts to monitor.

Sarah Guo × Elad Gil × Misha Laskin

Reflection AI’s Beam makes a differentiated open-model wager: frontier intelligence requires a full-stack lab, evidenced by growth from roughly 30 to 300 people and a 500-billion-parameter model with 23B active parameters.Its claimed three-to-fourfold reasoning efficiency, alongside catch-up costs potentially reaching around $10 billion next year, could support enterprise shifts from renting closed models to owning open deployments once annual spend exceeds roughly $100 million.

Brian Armstrong × Elad Gil

Coinbase says roughly 76% of agentic transactions are below 30 cents, making card rails uneconomic and supporting self-custodial wallets plus the X42 protocol.With 88% of revenue now non-Bitcoin trading, prediction markets reaching a $100M revenue run rate and tokenized stocks could broaden the exchange, while the SEC path for U.S. availability remains unresolved.

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 × Ofir Ehrlich × Gonen Stein

Models and compute have almost zero switching cost; accumulated enterprise data is becoming the moat, underscored by Google’s $10M purchase of bankrupt Spirit Airlines’ data.Eon maps and classifies siloed data, controls sensitive access, and exposes it to AI without compromising production or compliance, while agentic permissions create extreme-velocity ransomware risk and most companies still do not use AI.

Elad Gil × Melisa Tokmak

Netic has moved beyond call overflow: over 70% of customers are now “Netic first,” with agents determining service urgency, equipment, customer value, and the right worker across essential-service businesses.A $500,000 contract closed end-to-end in 14 days, and Tokmak estimates over $600 million in customer value from AI-handled interactions; the open question is whether vertical orchestration can compound faster than general-purpose labs or services roll-ups.

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.

Elad Gil × Sarah Guo × Mark Zuckerberg × Priscilla Chan × Alex Rives

Biohub’s $500 million, 10- to 15-year commitment targets purpose-built biological data, combining frontier AI with wet labs from proteins to cells and whole systems.ESMfold predicted structures for more than 1.1 billion proteins and produced nanomolar binders from 96 synthesized designs without antibody-specific training, while open release could accelerate research but leaves biosafety and clinical translation unresolved.

Sarah Guo × Elad Gil × swyx × Satya Nadella

Microsoft’s AI strategy centers on an ecosystem where customers create differentiated intelligence through clean-lineage models, traces, private evals, and specialist training.Private evals could become enterprise IP: swapping models while improving on protected outcomes indicates control over the stack, not dependence on one vendor.Agents pressure SaaS to unbundle data and business logic and add consumption pricing, while data-center expansion faces a 12–18-month test of public benefit.