Boris Cherny: commitment

Transcript context

…Clearly, the life of a software engineer has changed dramatically. It's a whole new job now as of the past year or two. What do you think is the next role that will be most impacted by AI? Either within tech, like, product managers, designers, or even outside tech, just what do you think? Where do you think AI is going next? I think it's going to be a lot of the roles that are adjacent to engineering. So, yeah. It could be product managers, it could be design, it could be data science. It is going to expand to pretty much any kind of work that you can do on a computer, because the model is just going to get better and better at this. And the Cowork product is the first way to get at this, but it's just the first one. And it's the thing that I think brings Agentic AI to people that haven't really used it before, and people are starting just to get a sense of it for the first time. When I think about the engineering a year ago, no one really knew what an agent was, no one really used it, but nowadays it's just the way that we do our work. And then when I look at non-technical work today, so, like ... Or maybe semi-technical, like, product work, and data science, and things like this, when you look at the concept of AI that people are using, it's always these conversational AI. It's, like, a chatbot or whatever. But no one really has used an agent before, and this word agent just gets thrown around all the time, and it's just so misused. It's lost all meaning. But agent actually has a very specific technical meaning, which is it's an AI, it's an LLM that's able to use tools. So, it doesn't just talk. It can actually act, and it can interact with your system. And this means it can use your Google Docs, and it can send email, it can run commands on your computer, and do all this kind of stuff. So, I think any kind of job where you do use computer tools in this way, I think this is going to be next. This is something we have to figure out as a society, this is something we have to figure out as an industry. And I think, for me, also this is one of the reasons, it feels very important and urgent to do this work at Anthropic, because I think we take this very, very seriously. And so, now we have economists, we have policy folks, we have social impact folks. This is something we just want to talk about a lot, so, as a society we can figure out what to do, because it shouldn't be up to us. So, the big question, which you're alluding to is jobs and job loss, and things like that. There's this concept of Jevons paradox of just as we can do more, we hire more, and it's not actually as scary as it looks. What have you experienced so far I guess with AI becoming a big part of the engineering job? Are you hiring more than if you didn't have AI? And just thoughts on jobs.…

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