Agents could turn org charts into work charts

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 20:30

   of time working with agents, building agents, helping companies build agents. You have this really great quote that I love. You said that we're just starting to scratch the surface of what an agentic society actually looks like. I just love this idea of an agentic society. What does that actually look like in the future? Oh, gosh. I mean, it's funny. You were telling me about your two-year-old, and I have my son Rome just turned one, and I can't even imagine in life that too, because I'm just like, that is so far away. And what will have been developed look like? I think that in the future, work will look really different. I think that we're approaching this world in which the marginal cost of a good output is approaching zero.

2. 21:12

   And I think when that happens, we're going to see exponential demand for productivity and output. And I think that the way that you scale to that is with agents and it's agents that are embedded and their tools and their pieces of software. And I think there's going to be a ton of those far more than the software that we use today. And then I think there could be a set of embodied agents that are developed. And we start to see that now, right?

3. 21:38

   You can assign a pull request, a co-pilot. You can create a software development rep that's agentic that can kind of do some of the lead generation and mining for you. And so I think that when all of that happens, the work chart, the org chart starts to become the work chart. I think that tasks and throughput become more important than they have been before. I also think that you just don't need as many layers.

4. 22:07

   Like I think the whole kind of organizational construct might start to look different in a few years. And so I'm pretty excited about it. I think meetings will still be meetings and they'll be weird, but I think they will be a bit better. And I think there'll be lots of changes. I think that for the average employee, my hope and kind of my optimistic view is that they will be able to expand their skill set because now they have their own agent stack that they can bring with them to work.

5. 22:38

   Just like you can kind of bring your own device and you can start to have access to a set of skills that you never had before. And so if you think about, you know, the 20 million people that maybe sit in that that space across America and they get 20 percent more skilled, it's like pretty exponential for GDP. And so it's it's pretty fun. This comment you made about the work chart, the work chart becomes the work chart is such a profound concept, because I don't know if this is what you meant, but what imagining is you build these teams and here's your mission and goal and KPIs and it's humans and like, oh, cool, go do this first.

6. 23:14

   and what i'm what i'm recognizing as you're talking is like okay but if you have agents doing that that is their prompt go drive conversion and then you have all these agents and that's the org for your job this is the conversion onboarding team and that's like a bunch of agents just off doing their work is that what you mean yeah i mean yeah i think like today we think in terms of hey who reports to who in the org chart and who's responsible for these areas and i think at the end of the day when you have a set of capable agents and people are capable of more things you're not going to start to think in hierarchy and communicating upward you're going to start to figure out like kind of outward task base type of opportunities i think that humans will always decide in organizations how ai is used and what we want to apply it to but yeah it's it's

7. 24:00

   when a new issue comes up or a new task comes up, how do you actually automatically decide where to route it? Who's working on that task? How do you actually go work on it? How do you observe if the agent's doing the right thing? How do you fine tune it if they're not? Like all of those things. So I think that I'm just speculating, right? That there's a world in which that could be pretty exciting. And I think that's great because we can just accomplish more.

8. 24:25

   You touch on this point that reviewing the work is going to be increasingly important. If you of like a thousand agents off doing work. It's just like, holy moly, that's a lot to look at, make sure they're doing the right thing. How do you think that evolves? Just like being able to scale your ability to review the work that's being done? Yeah, I think that the same kind of loop that we talked about becomes increasingly important, like fine tuning and self-healing, observability, really good evals, all of that. I mean, the good news is that there are systems that manage this for billions of people today that already exist. And so I think that, you know, we don't have to reinvent the wheel. There's certainly going to be a bunch of new things to learn if that world ever plays out. But I think, you know, managing devices and policies and group