Jesse Zhang

speaker

452 appearances 1 recordings 1 series first heard Jul 2026 last heard 31 Jul

Jesse Zhang’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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The a16z Show · How Enterprise AI Really Gets Deployed · 31 Jul 2026 podcast

There is inertia there and you have to go through all the model risk governance and all the security things.

And so I think it will take time, but it will get there.

No, I think if you're a growth stage company, then you're honestly like, obviously we have to be responsible with our costs, but that's not the highest priority, right?

The highest priority is just growing.

And when you're talking to a customer, they don't really care what your costs are.

They just care about how well your agent performs.

So that's...

That's the main thing.

So actually, if you look at our unit of output of our agent, which is, in our case, a conversation, that's really what our customers care about.

They don't really care about how much that conversation costs to us or how many tokens are in it.

And actually, over time, the number of tokens we're using per conversation has gone up because...

We're actually doing more model calls to make the quality better, to do more checks, to parallelize more things.

And that's just the stage we're in right now.

Like eventually, you know, if we've won the market, then like that's when it's like, okay, yeah, you know, now it's time to look at our costs and see if we can optimize further.

But it's just not the top priority.

So I'll give a quick perspective just like from the POV of like enterprise and then maybe we can talk about like broader the industry.

So let's say I'm like a Fortune 100 company, right?

And I'm looking out there on all my use cases and I have a choice of partnering with an application company or sort of using the labs and building from scratch.

I think there is a lot of merit to partnering with the labs in certain cases.

I think if you look at our case, we just talked about all this fine-tuning stuff.

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