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Sourcery

Molly O'Shea interviews leading investors, CEOs, and founders about technology companies, markets, and company building.

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33 EPISODESENTRACKED SHOW
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SourceryEN · 33 min

The $10T AI Buildout Has a Photonics Problem

Molly O'SheaHerwig Van HoveYannick De Koninck

AI’s next bottleneck is the interconnect fabric: models no longer fit on one GPU, while agentic calls make latency critical, putting photonics alongside compute as core infrastructure.Optical bandwidth addresses copper and power constraints, but lasers, tools, substrates, throughput, and yield remain scarce as NVIDIA’s demand shock runs ahead of supply; Themaa targets 2027 production and 2028 full ramp.

SourceryEN · 48 min

Eclipse's Lior Susan on $12.5B AUM and the Bet on Physical Industries

Molly O'SheaLior 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.

SourceryEN · 57 min

Benchmark's AI Bets: Cerebras, Sierra, Legora, Fireworks, Starcloud, Gumloop..

Everett RandleMolly 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.