Molly O'Shea

Molly O'Shea × Aistis Šimaitis × George Hadjiminas × Bruno Wejchert

Ukraine has made production scale as important as technology: Europe’s fragmented manufacturing base and years-long component lead times leave a clear opening for Onodrim’s acquisition-led model.Autonomous fleets also reset unit economics, turning $30,000 radios and other exquisite components into products that must become cheaper and available in thousands or millions; execution and procurement remain the watchpoints.

Molly O'Shea × Lior Susan

Eclipse is targeting the physical economy—about 85% of global GDP, or $100 trillion—where deglobalization, supply-chain vulnerability, government support, and customer demand are reopening neglected opportunities.With about $12.5 billion in AUM, roughly 90 portfolio companies, and 30 it helped build, its operators-with-capital model links CapEx, manufacturing, policy, and systems execution, while its free-cash-flow focus and non-formulaic incubation leave execution, timing, and repeatability as key variables.

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.

Molly O'Shea × Luca Ferrari × Francesco Patarnello × Matteo Danieli × Valentina Jerusalmi

Bending Spoons wins deals by paying the highest price, with post-integration platform, technology, and talent value supporting high returns for shareholders.Its vertical-agnostic filter prioritizes platform unlock, sufficient scale, and predictability, favoring 5–10 larger deals over transforming $20 million-revenue businesses.With an M&A pipeline that has never been so rich, AOL’s months-long Yahoo carve-out and re-platforming remain a key execution watchpoint.

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.

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.

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.

Kyle Harrison × Molly O'Shea

Anduril challenges defense’s cost-plus, built-to-spec model with fixed-price, built-to-mission products for high-volume, low-cost, attritable conflict, where US munitions could last roughly 11 days.Lattice links Sentry Towers, Fury, Copperhead, and EagleEye’s $22 billion IVAS contract through sensor fusion; the small number of neo-primes makes execution and second-order beneficiaries worth monitoring.

Hemant Taneja × Molly O'Shea

Anthropic is adding $10 billion of revenue a month and NVIDIA added $1 trillion of market cap in 100 days, highlighting AI-era scale concentration.GC’s counter-bet spans seed, Creation, and Customer Value Fund strategies, while 15x-to-3x revenue-multiple compression could leave even doubled-EBITDA software equity unrecovered.Leverage coming due in the next five years makes AI transformation opportunities and durability uncertainty key variables to monitor.