Molly O'Shea

Molly O'Shea × Annie Lamont

AI’s investable bottlenecks are shifting toward power, memory, cooling, and data transfer as Moore’s Law nears a physical plateau.Micron, SK hynix, and Samsung control 95% of memory, whose price rose 700% this year as hyperscalers absorbed supply.Photonics could relieve several constraints, with co-packaged optics expected beside GPUs within five years as memory pressure pushes specialized hardware beyond ever-larger models.

Molly O'Shea × Brad Gerstner × Naveen Rao × Jonathan Neman × Toby Rice × Wen Sang × Geoff Woo × Nick Shirley × Jake Paul × Kent Draper × Michael Brandt

AI safety is converging toward company-led controls plus independent peer review, with Elon suggesting China might participate.Unconventional AI’s planned nanojoule-per-image disclosures could extend scaling and disrupt intelligence pricing, while Rao says software may capture very little value in 20 years.U.S. gas demand may rise 20–40%, and AIRIN’s 2026 capacity is sold out; data-center opposition and uncertain neocloud margins remain risks.

Gagan Biyani × Molly O'Shea

Andreessen Horowitz Academy plans a 50-student, tuition-free fellowship for September 2027, followed by a two-year program in 2028 pending regulatory approval.Its $40M runway backs an unaccredited model monetized through tuition, corporate partnerships, and equity tied to student ventures.The key test is whether proof-of-work admissions and 75–80% project time create a talent pipeline despite competing VC checks and universities.

Luca Ferrari × Molly O'Shea

Bending Spoons’ edge is an integrated operating model that standalone owners cannot economically reproduce.Its 50-plus proprietary technologies, nearly 1,000-person core team, and debt-funded permanent ownership support claimed annual savings above $100 million and $4 million revenue per core Spooner.Airtable’s approximately $1.3 billion enterprise value reflects the underwriting test, while AI startup valuations and unmeasured AI capabilities remain key risks to monitor.

Tony Kim × Molly O'Shea

AI has shifted value toward chips and hardware, with Kim estimating $30T+ there versus roughly $10T across software/services/internet.Base compute has jumped 10,000×, while the rebuild may require a trillion dollars this year and ten trillion over five years.Token factories may compress SaaS margins; memory and foundation-lab IPOs are watchpoints as Kim says his thesis may change.

Ben Lamm × Molly O'Shea

Colossal’s woolly mice validated mammoth-editing in 30 days, with 100% healthy births and predicted phenotypes.With $635M raised, its screwworm solution could eradicate the problem in six to seven months versus $1.5B in taxpayer spending over eight years, pending permits.Astromec uses evolutionary-genomics AI for drug discovery; another extinct species may arrive within 12 months, but the target remains undisclosed.

Molly O'Shea × Nikesh Arora

AI is compressing zero-day remediation from 55 days to Palo Alto Networks’ four-hour patch delivery, forcing infrastructure modernization.Mythos has moved cybersecurity to the CEO agenda, directing demand toward existing partners and structurally favoring incumbents.Arora sees cybersecurity’s SaaSpocalypse as over, but expects markets to become more discerning in roughly two years as perfect-execution pricing meets stumbles.

Molly O'Shea × Adam Foroughi × Giovanni Ge

AppLovin rebuilt after a 92% post-IPO drawdown around Axon 2, with EBITDA run rate now over $7 billion.Semantic embeddings replaced Axon 1’s hundreds of thousands of if/else branches, improving extrapolation and lowering GPU costs while e-commerce showed decent ROAS on a premature model.Reaching a trillion-dollar valuation requires over $30 billion in annual cash flow, putting category expansion and creative execution under scrutiny.

Tony Kim × Molly O'Shea

AI has reset the market toward compute hardware, with Kim estimating more than $30T in chips and hardware versus roughly $10T in software, services, and internet.The resulting $1T of CapEx this year and $10T over five years is moving data centimeters and millimeters, but three-to-four-year fab cycles face memory shortages, making 2030 milestones such as quantum and orbital data centers key watchpoints.

Everett Randle × Molly O'Shea

AI is breaking the spreadsheet playbook: billion-dollar businesses can still lack unit economics or durable differentiation, and scale may increase impairment risk.Inference monetization can drive revenue from 1 to 30 to 300, while agents shift purchases toward intelligence or economic output.Frontier labs retain pricing power if recursive self-improvement works, but face a 95%-as-good open-source squeeze if capabilities plateau.