Eric Vishria
👤 PersonAppearances Over Time
Podcast Appearances
The answer is for sure both. I would maybe tweak your question, which is to say, I don't know that it's going to be like the price per seat model. But I'll give you a simple way to look at it. Let's take the AI coding area, right? We've seen like tremendous amount of capital go into AI coding and co-pilots and AI software engineers and whatever.
The answer is for sure both. I would maybe tweak your question, which is to say, I don't know that it's going to be like the price per seat model. But I'll give you a simple way to look at it. Let's take the AI coding area, right? We've seen like tremendous amount of capital go into AI coding and co-pilots and AI software engineers and whatever.
Let's say your fully loaded IT or software person is 200 grand for just for argument's sake. And if you think about that $200,000, there is, call it $10,000 for every one of these software engineers or IT people. There's $10,000 of tool spend. In that, I would put like Jira, which is Atlassian, GitHub, ServiceNow, a computer, whatever, development environment, get whatever.
Let's say your fully loaded IT or software person is 200 grand for just for argument's sake. And if you think about that $200,000, there is, call it $10,000 for every one of these software engineers or IT people. There's $10,000 of tool spend. In that, I would put like Jira, which is Atlassian, GitHub, ServiceNow, a computer, whatever, development environment, get whatever.
Let's say your fully loaded IT or software person is 200 grand for just for argument's sake. And if you think about that $200,000, there is, call it $10,000 for every one of these software engineers or IT people. There's $10,000 of tool spend. In that, I would put like Jira, which is Atlassian, GitHub, ServiceNow, a computer, whatever, development environment, get whatever.
So all that's caught $10,000 a year, roughly. on that 10 grand a year of spend, how many hundreds of billions of market cap has been created? Like 300, 400, 500, some big number of market cap has been created on $10,000 worth of spend for each of these software engineers.
So all that's caught $10,000 a year, roughly. on that 10 grand a year of spend, how many hundreds of billions of market cap has been created? Like 300, 400, 500, some big number of market cap has been created on $10,000 worth of spend for each of these software engineers.
So all that's caught $10,000 a year, roughly. on that 10 grand a year of spend, how many hundreds of billions of market cap has been created? Like 300, 400, 500, some big number of market cap has been created on $10,000 worth of spend for each of these software engineers.
So if the AI, if you can get AI good enough to eat much more of the $200,000 of value attributed to your software engineer, IT person, It just follows that there's like 20x more value creation and there will be giant, giant outcomes.
So if the AI, if you can get AI good enough to eat much more of the $200,000 of value attributed to your software engineer, IT person, It just follows that there's like 20x more value creation and there will be giant, giant outcomes.
So if the AI, if you can get AI good enough to eat much more of the $200,000 of value attributed to your software engineer, IT person, It just follows that there's like 20x more value creation and there will be giant, giant outcomes.
So in this way, and this is the challenge with it, which is it's simultaneously the most exciting and most disorienting time in my 25 years in technology, because that is a really challenging situation where In some ways, the prize is so big that you could very easily say you can justify really ridiculous prices on any fundamentals basis.
So in this way, and this is the challenge with it, which is it's simultaneously the most exciting and most disorienting time in my 25 years in technology, because that is a really challenging situation where In some ways, the prize is so big that you could very easily say you can justify really ridiculous prices on any fundamentals basis.
So in this way, and this is the challenge with it, which is it's simultaneously the most exciting and most disorienting time in my 25 years in technology, because that is a really challenging situation where In some ways, the prize is so big that you could very easily say you can justify really ridiculous prices on any fundamentals basis.
You can justify really ridiculous investment, again, on any fundamentals basis because it's like, well, the prize is so big. So that's one part of it. And then the other part of it's like, wait a minute, we're a little ways away from replacing the software engineer right now. We're a bit away from that. And we haven't actually captured that much market value yet. Right.
You can justify really ridiculous investment, again, on any fundamentals basis because it's like, well, the prize is so big. So that's one part of it. And then the other part of it's like, wait a minute, we're a little ways away from replacing the software engineer right now. We're a bit away from that. And we haven't actually captured that much market value yet. Right.
You can justify really ridiculous investment, again, on any fundamentals basis because it's like, well, the prize is so big. So that's one part of it. And then the other part of it's like, wait a minute, we're a little ways away from replacing the software engineer right now. We're a bit away from that. And we haven't actually captured that much market value yet. Right.
And really no one's demonstrated anything close to that level quite yet. Although the trajectory is like really quite good. And so that's the tension and challenge with it. And this is the kind of thing that we have to like navigate through every day.
And really no one's demonstrated anything close to that level quite yet. Although the trajectory is like really quite good. And so that's the tension and challenge with it. And this is the kind of thing that we have to like navigate through every day.
And really no one's demonstrated anything close to that level quite yet. Although the trajectory is like really quite good. And so that's the tension and challenge with it. And this is the kind of thing that we have to like navigate through every day.