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aaron levy

T3 · host / generalist

Aaron Levy founded Box in 2005, dropped out of USC after raising from Mark Cuban, pivoted to enterprise in 2006, and has scaled the company to ~120,000 customers and $1-2B revenue run rate. He is an active angel investor focused on AI applications in coding, cybersecurity, and knowledge work.

7 calls·5 names·86% bull·last heard 2 months ago·Joe Lonsdale
track record

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

top calls

highest conviction · one per company
1sthigh conviction
$BOXBoxposition

Levy: Box positioned as AI data layer for enterprise unstructured content

Box's platform manages 120K enterprise customers' unstructured data (contracts, research, marketing assets), which becomes the critical fuel for LLMs and agents to automate knowledge workflows, creating a massive expansion of Box's addressable market.

Joe Lonsdale2026-07episode →
2ndmedium conviction
$COGNITIONCognition AI

Levy: Cognition arms both AI-native disruptors and legacy system integrators

Cognition's coding agents will serve both new AI-first software development companies and traditional system integrators, creating a positive-sum dynamic where both old and new players grow.

Joe Lonsdale2026-07episode →
3rdmedium conviction
$JPMJPMorgan Chase

Levy: JP Morgan unlikely to be displaced by AI-first fintech disruptors

Regulatory moats and switching costs protect massive incumbents like JP Morgan; AI-first competitors may build half-trillion-dollar businesses but won't kill the incumbent banks.

Joe Lonsdale2026-07episode →

most discussed · click a bar to filter

  • $COGNITION
  • $BOX
  • $JPM
  • $ANTHROPIC
  • $KIMI

recurring themes

  • Enterprise AI Adoption2
  • AI Regulation & Policy2
  • AI Economics & Business Models2
  • AI Geopolitics & Export Controls2
  • AI Agents1
7 total
$COGNITION
Cognition AI
MEDaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)
Levy: Cognition arms both AI-native disruptors and legacy system integrators
Cognition's coding agents will serve both new AI-first software development companies and traditional system integrators, creating a positive-sum dynamic where both old and new players grow.
"So it just turns out there's opportunity kind of across the stack for all these players but like if you're a cognition you're going to both arm the new disruptor of like let's say…"
18:57
$JPM
···
JPMorgan Chase
MEDaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)
Levy: JP Morgan unlikely to be displaced by AI-first fintech disruptors
Regulatory moats and switching costs protect massive incumbents like JP Morgan; AI-first competitors may build half-trillion-dollar businesses but won't kill the incumbent banks.
"But like does JP Morgan go out of business? You know, not sure."
17:17
$BOX
···
Box
HIGHaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)· position
Levy: Box positioned as AI data layer for enterprise unstructured content
Box's platform manages 120K enterprise customers' unstructured data (contracts, research, marketing assets), which becomes the critical fuel for LLMs and agents to automate knowledge workflows, creating a massive expansion of Box's addressable market.
"So we now have about 120,000 customers. um about$ 1 kind of$2 billion dollar uh revenue run rate and um and the whole idea is be the best platform to help enterprises manage all t…"
34:53
$COGNITION
Cognition
MEDaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)
Cognition positioned to arm both AI-native disruptors and incumbent system integrators in software development
Levy sees Cognition (maker of Devin) as a horizontal infrastructure play that will supply AI coding agents to both new agent-first system integrators and traditional ones, creating a positive-sum dynamic where both old and new players grow.
"So it just turns out there's opportunity kind of across the stack for all these players but like if you're a cognition you're going to both arm the new disruptor of like let's say…"
18:58
$BOX
···
Box
HIGHaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)· position
Box CEO Aaron Levy details AI agent strategy atop $1-2B revenue enterprise content platform
Box sits at the center of enterprise unstructured data (contracts, research, marketing assets) and is building the platform layer that lets AI agents read, process, and automate workflows across 120K customers; Levy argues the company has been waiting 21 years for LLMs to unlock the value of this data.
"So we built a platform that lets enterprises do that. Um and uh and so we now have about 120,000 customers. um about$ 1 kind of$2 billion dollar uh revenue run rate and um and the…"
34:48
$ANTHROPIC
Anthropic
MEDaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)
Dario Amodei's scaling-law thesis validated: model progress accelerating via compute, data, and post-training breakthroughs
Levy confirms Anthropic's Dario Amodei was right that scaling laws (more compute + more data + better post-training) continue to drive exponential model improvement across at least five US frontier labs, with no wall in sight.
"So so we we just keep unlocking I think new breakthroughs of how to improve these model capabilities uh which is which is incredible. Um you know I don't know if you guys invested…"
4:58
$KIMI
Moonshot AI
MEDaaron levy·Joe Lonsdale·2 months ago·Why AI Creators Keep Panicking (They're Wrong)
Chinese model Kimi K3 reaches near-frontier parity, third-best globally per Artificial Analysis
Kimi K3 has closed the gap to US frontier models to roughly 1-3 months, scoring as the third-best composite model worldwide and even topping subjective front-end design benchmarks, signaling China's open-weight ecosystem is no longer years behind.
"The biggest I think update for everybody in the past three to six months was I think the debate would have been probably if you had just gone back one or two years... now it's ver…"
7:06
9
Enterprise AI Adoptionmixed
Enterprise AI diffusion is 10-20 year rollout limited by human/institutional bottlenecks not model intelligence
Consumer AI is near saturation but enterprise needs massive intelligence for complex workflows (M&A due diligence, life sciences, manufacturing); real-world diffusion limited by permits, clinical trials, human coordination — not model capability — making bureaucracy the ultimate rate limiter.
9
Enterprise AI Adoptiontailwind
Enterprise AI diffusion is a 10-20 year rollout gated by human/organizational bottlenecks, not model intelligence
Levy argues the rate limiter for enterprise AI value is diffusion — humans must integrate model intelligence with proprietary data, navigate permits/regulations, and close real-world feedback loops; this makes enterprise AI a multi-decade transformation, not a quick flip.
8
AI Agentstailwind
Agentic automation compresses software and security workflows from days to minutes, creating new work categories
Levy describes agents autonomously fixing bugs, responding to security incidents, and reading entire contract corpuses — tasks never previously staffed — generating net new revenue and expanding the scope of knowledge work rather than replacing it.
8
AI Infrastructuretailwind
Model progress continues exponential with no wall hit across five US frontier labs
Pre-training and post-training breakthroughs plus exponential compute/data growth mean model capabilities keep doubling every few months; five US labs (Anthropic, OpenAI, Google, Meta, xAI) now race neck-and-neck at frontier with wide cost variance creating diverse pricing tiers.
8
AI Regulation & Policyheadwind
Industry's self-inflicted doomer messaging fuels bipartisan political backlash risking data center bans and AI lockdown
AI creators publicly expressing existential fears (Hinton, Anthropic leaders) creates cognitive dissonance: 'you're building it and scared but not stopping' — driving populist opposition, data center moratoriums (NY), and potential restrictive tax/regulatory regimes regardless of administration.
8
AI Regulation & Policyheadwind
Industry's doomer messaging fuels bipartisan political backlash, risking data center bans and tax regimes
Levy blames AI creators' public anxiety (Hinton, etc.) for scaring voters and politicians, predicting AI becomes a top 2028 election issue with populist restrictions on compute, data centers, and model deployment unless positive enterprise outcomes become visible.
8
AI Economics & Business Modelstailwind
AI creates positive-sum job market via Jevons paradox: lower engineering cost explodes demand across all industries
AI agents make engineering cheaper, so every company (law firms, banks, manufacturers) now hires engineers to deploy agents; new job families emerge (AI automation engineers) and total engineering demand surges across economy, not just tech sector.
8
AI Economics & Business Modelstailwind
Jevons paradox in engineering: cheaper AI coding expands total engineer demand across all industries
Levy observes law firms, banks, and manufacturers now hiring engineers to build custom agents/models, arguing lower engineering cost unlocks latent demand in non-tech sectors — a structural tailwind for technical labor and AI tooling.