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mary d'onofrio

T3 · host / generalist

Mary D'Onofrio focuses on venture growth investments in AI infrastructure at Crosslink Capital, previously spent seven years in AI and infrastructure investing.

1 call·1 name·0% bull·last heard 2 months ago·Bloomberg Tech
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

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highest conviction · one per company
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$SKHYSK Hynix

Crosslink's Mary D'Onofrio: SK Hynix IPO signals market reopening favors mature AI infrastructure over speculation

SK Hynix's successful listing demonstrates the IPO window reopening for long-standing, revenue-generating AI infrastructure businesses rather than speculative ventures, indicating investors want secure exposure to the AI buildout.

Bloomberg Tech2026-07episode →

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  • $SKHY

recurring themes

  • AI Infrastructure1
  • Open Source AI1
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$SKHY
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SK Hynix
MEDmary d'onofrio·Bloomberg Tech·2 months ago·The AI Race, Starship and Silicon Valley's Defense Bet | Bloomberg Tech 7/20/2026
Crosslink's Mary D'Onofrio: SK Hynix IPO signals market reopening favors mature AI infrastructure over speculation
SK Hynix's successful listing demonstrates the IPO window reopening for long-standing, revenue-generating AI infrastructure businesses rather than speculative ventures, indicating investors want secure exposure to the AI buildout.
"OBVIOUSLY THOSE ARE FANTASTIC BUSINESSES. WHEN IT COMES TO WHAT IT SAYS FOR MARKETS, INVESTORS ARE REALLY LOOKING FOR ANYTHING HAVING TO DO WITH THE AI BUILDOUT... I THINK IT IS S…"
29:48
9
AI Infrastructuretailwind
AI infrastructure shift from model building to agent deployment and identity layer drives next investment wave
With scalable models now available, the next wave of AI infrastructure focuses on deploying models quickly and cheaply via agents, requiring new tools, memory, and identity layers; this sector is a key focus for venture growth investing.
8
Open Source AItailwind
Open-weight models demonstrate 95% cost reduction, migrating workloads rather than displacing total AI spend
Open-weight models like Kimi K3 show dramatic cost reductions, which will not reduce total AI spending but shift workloads from expensive frontier models to cheaper alternatives, boosting AI equity over time.
8
AI Economics & Business Modelstailwind
Model cost reductions drive workload migration not spend destruction: 95% cheaper inference shifts demand to cheaper models
As model inference costs drop 95%, total customer spend won't decline because workloads migrate from expensive frontier models to cheaper alternatives that still provide requisite compute for the task, maintaining aggregate infrastructure demand while expanding addressable market.
7
IPO Markettailwind
AI infrastructure IPO window reopening favors decade-old profitable businesses over speculative ventures
Recent listings like SK Hynix signal public markets are receptive to AI-related companies but only those with long track records and billions in revenue; investors are 'hardly speculative' and seek secure exposure to the AI buildout, not early-stage risk.