PUBLIC VIEWPOINTS

Aaron Levie

Interview participant ·

1 interviews · 3 viewpoints · 1 topics

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Translations are for reading; original excerpts remain the evidence.

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Attributed viewpoints, ordered by interview date. A snapshot of these conversations, not a definitive statement of someone’s beliefs.

Enterprise AI

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Enterprise AI

Staying informed requires active attention

Aaron Levie describes staying connected to information and trying tools himself instead of waiting for someone to email him an article.

Supporting evidence

Original excerpt

I want to send an emergency alert to everybody who's a sophomore or junior in college and just be like, follow these 20 accounts on Twitter—and also join Twitter—because this will just help your career.
Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion
Context

You're either a year ahead or a year behind simply based on your feed. And my feed is so wired in. I'll still talk to 20-year-olds that are like, "Yeah, I see some articles," and I'm like, what do you mean? How do you see articles? I don't even know what that means. Do you just get lucky that somebody emailed you an article? You just have to be wired in. I enjoy it. It's a lot of fun. I play with everything.

Start time comes from the supplied transcript. Playback alignment is awaiting review.

Open the episode and seek to 0:00.

Enterprise AI

Enterprise AI needs a bridge to workflows

Aaron Levie frames enterprise AI as a question of how much work is required to connect models with organizational workflows.

Supporting evidence

Original excerpt

What I think people underappreciated was that in the real world, in the enterprise, what you need is some bridge from the model's capability to the actual workflow that the enterprise has.
Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion
Context

Two years ago, I think it would not have made that much sense—like, what does that mean? But very clearly, I think this is what's playing out in the market, and it's all working out mostly because of open source. What's pretty amazing is right now, the whole concept of being an LLM wrapper, a model wrapper, is actually working out. And on that bridge, probably $1 trillion has been bet on basically one of two outcomes: either that bridge is very limited, or that bridge is actually very vast and needs to be able to take on a lot of depth within organizations.

Start time comes from the supplied transcript. Playback alignment is awaiting review.

Open the episode and seek to 2:24.

Enterprise AI

Enterprise software still has to fit business processes

Aaron Levie argues that companies continue to need technology that connects core capabilities to their workflows and business processes.

Supporting evidence

Original excerpt

I have a very concentrated bet with very limited diversification on it working out that you still want to buy technology that understands your workflow and can get to the core enterprise data.
Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion
Context

I'm pretty long, obviously, the application layer. I'm also equally very biased. But I just don't see a different event happening than all of history. We only have 50 or 60 years of computer software history, but basically, when you go to that law firm, and you go to that pharma company, and you go to that bank, they need something that bridges the core technology to their workflow and their business process. AI has not meaningfully changed the need or the shape of what that looks like.

Start time comes from the supplied transcript. Playback alignment is awaiting review.

Open the episode and seek to 7:31.

Statements by interview date1

Statements are ordered by the original interview publication date; differences in wording do not establish a change of position.