The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 46 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 2 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Levie: AI doomers ignore permanent jobs required for agent maintenance
“As an asterisk, it's actually why the doomers are also wrong about jobs, because this is actually going to be a very real sustaining job. That is not like a one time you implement the agent and you upgrade the system and then it kind of works forever.”
Levie: Proposed US tariffs will cause a total economic disaster
“If as of, you know, Tuesday afternoon, you know, the tariffs that have been proposed, if those roll through you know, this is going to be a total disaster.”
Levie: CIO sentiment on AI remains optimistic, avoiding trough of disillusionment
“I think the tone is actually remarkably optimistic and excited and positive as opposed to, you know, there's a sort of, You know, typical trough of disillusionment, you know, from Gartner and the hype cycle or whatnot.”
Levie: A single coding agent task can consume $1,000 in compute
“One, you know, coding agent could be consuming, you know, a thousand dollars of compute on a single task. So clearly like you can't lump that all into a 20 dollar per user per month fee.”
Levie: AI compute cost reductions will take 5 to 10 years
“The data center providers, the labs, et cetera, have pricing power. They don't need to lower their prices on anything. So you're not seeing the typical things that drive down the cost of compute. I'm highly optimistic that that happens over the next five to 10…”
Levie: A $5B startup will be built around AI compute ERP
“You're going to need, you know, new, new pieces of software. Probably there's probably a, you know, a five billion dollar startup waiting to happen just in like ERP for your AI compute.”
Levie: Average enterprise will use half a dozen AI models
“I think what's going to happen is you're going to have a mosaic of models in the enterprise. I think the average enterprise will certainly be using, you know, half a dozen models in their organization.”
Levie: Rapid AI breakthroughs paradoxically slow corporate AI adoption
“The technology is getting so advanced that it makes obsolete the prior thing that you implemented, which actually means that the rollout takes longer because we have no stable, there's no stable environment to roll things out in.”
Levie: Headless AI queries will be 100x larger than interface work
“So I think it's just going to be this sort of dual, dual model with the one nuance being probably by like you know, database queries, headless will just be a hundred times larger than the interface driven, you know, way of doing work.”
Levie: Enterprise software will combine seat and consumption models within three years
“So I think any enterprise software company in three years from now, that sort of, that, that gets through this AI transformation period, It will have a seat business model, assuming it has an end user component, and it'll have a consumption business model.”
Levie: AI agents will drive hiring as executives capture new value
“You will actually see, interestingly, if you're like an executive and you start to do this, you'll see lots of areas actually where you should hire more people because you're like, oh my God, this thing is spitting out, you know, incredible goldmine of value, …”
Levie: AI labs won't displace vertical startups without massive specialized headcount
“Unless the labs build out literally the equivalent of hundreds or thousands of people for every single vertical and every single line of business, that means that there's actually a lot of opportunity in that kind of bridge area of the work.”
Levie: US trade friction will allow international entrepreneurs to outcompete US businesses
“If you're an international entrepreneur right now and you're watching this, you're like, I can now finally outcompete the U S because they've just going to create friction for their own businesses.”
Levie: Enterprise AI faces no philosophical resistance unlike early cloud
“The difference is the energy is very different where I think most companies I meet with and happen to be in New York and meeting lots of banks. The energy is like absolutely in the category of how many use cases can I apply this to? How do I start to lean in m…”
Levie: The AI wave would not have happened without ChatGPT
“Without chat GPT, none of this would have happened.”
Levie: AI coding tools have reached mainstream enterprise adoption
“AI coding is very clearly in the pragmatists. You know, get up co-pilot now, I don't know, three years old cursor's flying off your shelves, wind service flying off the shelf, you know, replit, all these guys are kind of being, you know, used everywhere. So yo…”
Levie: Solving enterprise AI search and governance will take years
“So, so this is the part that will take years to fully figure out and get right.”
Levie: All enterprise software will interoperate via AI agents within two years
“I think we could easily be two years from now where you just feel totally comfortable that like all the software you use can talk to all the other software in an agentic way.”
Levie: Software companies will not get an AI price premium
“You will grow faster because you're entering new markets, but you won't grow faster because there's some kind of like magical AI premium on your software. And those are two things to kind of decouple, which is like the price that you can charge because you hav…”
Levie: Enterprise AI spend will shift from IT to line-of-business budgets
“And so if AI is, you know, truly adding this productivity gain to your engineering team or your client onboarding process or your marketing team, then clearly you don't want to be trapped by this sort of three to seven percent in the business. It's going to es…”
Levie: Knowledge work AI is harder than coding AI due to fragmented context
“The code base has so much of the context in coding. Whereas in the rest of knowledge work, the context lives across like 20 different things. Some digital and some very not digital, you know, kind of mediums.”
Levie: Enterprises are refusing multi-year contracts with AI labs
“Nobody's signing up for more than like one year deals with the labs.”
Levie: Regulatory scrutiny on public companies is net positive for shareholders
“I don't think we made it too hard to go public. I think actually it's good to have a, of an, a heightened degree of scrutiny and regulatory pressure on being a public company. It is, is, absolutely net positive for the average shareholder that we have all of t…”
Levie: Developers should not vibe code into production yet
“You probably shouldn't vibe code into production yet.”
Levie: Single-shot AI extraction drops to 75% accuracy on 200-page documents
“If you ask it to pull out data from a short document, it's going to basically be a hundred percent accurate on that. If you ask it to pull out data from a 200 page document, And you only give it one shot to do it. It's going to get 75% accuracy.”
Levie: AI divide is Silicon Valley engineering versus everyone else, not geography
“It's sort of not just Silicon Valley versus everybody else. It's sort of Silicon Valley engineering versus everybody else.”
Levie: AI coding agents have reached escape velocity
“AI coding agents that we know have totally, you know, reached escape velocity.”
Levie: Enterprise CIOs see real productivity gains from AI coding assistants
“When we talk to the CIO, they know that their engineering teams are using cloud code and codex and cursor, and they're seeing the productivity gains come out of those teams.”
Levie: Token costs and budgeting comprise one-third of top AI issues
“When we go and talk to organizations right now about where they are with agents tokens, the cost of tokens and budgeting and budget planning and all of this probably is at least one third of the hottest button issues that relate to AI.”
Levie: Savvy startups can exploit temporary VC subsidies for AI compute
“Cause like, if you were really savvy, there's probably some parts of the market where you keep like, oh, I could somehow use this LP capital to do work for me as my startup. And there's like a window where you can find those exploits.”
Levie: Perplexity Computer is the best agent for web search tasks
“Perplexing computer, I find does a better job than any other computer based agent for just being a workhorse. For going through websites and doing search related things where you have to click on the page and you have to read the page and all that.”
Levie: AI will expand Box's TAM without disrupting seat pricing
“Like, we think the TAM of our category goes up because of AI and the business model doesn't get like severely disrupted in the sense of we used to be selling seats and now all of a sudden something totally different, it's seats and then something in addition t…”
Levie: Late-stage capital allows tech companies to stay private indefinitely
“Where we're at is we now have this new innovation, which is late stage capital that can basically keep you private for as far as we can tell, maybe forever, because you can kind of outrun the problem of converting these companies into burn companies to cashflo…”
Aaron Levie raised hundreds of thousands from Mark Cuban via cold email
“I had emailed Mark Cuban. He got back to us in, like, 10 minutes and said, interesting company. We started working on, like, a partnership, weirdly in in one of his in one of his companies, and then that sort of parlayed into an investment, so we ended up rais…”
Mark Cuban had Travis Kalanick conduct due diligence on Box in 2005
“As a part of the due diligence for the company he had us meet Travis Kalanick. So he invested in Travis at this company called Red Swoosh. And so so I had met Travis in LA and Travis was basically like Mark asked me to meet you know, see if everything's above …”
Levie: Box considered training a foundation model for '10 minutes'
“We considered it for 10 minutes, and we said no effing way are we gonna get in this war?”
Levie: Abandon custom AI scaffolding when foundational models advance natively
“If anybody has a breakthrough in the model space that we have built scaffolding or plumbing around to mitigate the lack of that breakthrough previously, we should just like kill our stuff and just adopt whatever that breakthrough is.”
Levie: AI agents' biggest impact is unlocking previously unfeasible software use cases
“The really big impact is that is the expansion of now what people can do with software and start to solve the use cases that we just never Ended up prioritizing in most of these categories.”
Levie: Agent interoperability will follow the REST API adoption curve
“I think it'll, it'll follow probably the same curve that, like, REST APIs did 20, 25 years ago, 23 years ago or whatever.”
Levie: Corporate IT spending is constrained to 3% to 7% of revenue
“IT spend is basically somewhere between like three to seven percent of revenue in a company, sometimes lower, sometimes higher, but like, it's kind of trapped at that.”
Box raised its first $80k round at a $240k or $320k valuation
“We rated it 80,000 dollars for a post money of I believe this is the post money. It was either two 40 or three 20, but the post money was either 240 K Or 320 K. We raised 80, 80,000.”
Levie: Box launched a year before AWS, forcing self-built infrastructure
“We actually had to build out infrastructure for the first decade and a half because merely we started the company six months too early. So we started the company and our first launch was on these co-located servers. And Amazon web services didn't launch until …”
Levie: Box officially supports Gemini, Anthropic, and OpenAI models
“We officially support Gemini family. We support anthropic, you know, variety of cloud models and then support open AI and the GPTs.”
Levie: Box supports open-source models for select unannounced customers
“Yes for a couple of particular customers that we just haven't announced yet, but, you know, coming soon.”