+0.0
net board stance
what this means
40.35
-5.2% · close 2026-09-08
-4% / +33% / +22%
1m / 3m / 12m
-69%
vs SPY since 2024-09-27
79%
of 52w range · -11.0% off high
1/1
hit rate as primary · α +30
Where we stand — 0 live ideas
No active idea holds this ticker. Anything below is history.
Where the winds are blowing
NET BOARD STANCE, LAST 47 EPISODES —
rising = the besties are building this position, falling = abandoning it. Replayed from
score_events; an idea counts from birth until its window closes.
PRICE VS SPY OVER THE SAME WINDOW, % — did the
talk lead the tape or follow it?
Who's pushing which way
each voice's net push ON THIS TICKER — their most recent stance per idea × the idea's direction × strength, so supporting a bearish idea pushes down. Not conviction (that lives on the idea); this is direction of travel per person. what w= means
Track record on RHI
As a PRIMARY play the besties are 1 hit / 0 partial / 0 miss over 1 closed window — credit 1.0, average α +29.9. Adjacent plays are listed but never scored.
| idea | call | play | verdict | R | α | closed |
|---|---|---|---|---|---|---|
| 📈 Agents replace the entry-level analyst — static team size at scale | ▼ SHORT | primary | HIT | +47.1% | +29.9 | 2025-09-27 |
The tape — what was actually said
every capture on any idea holding RHI, newest first · quotes verbatim, timestamps deep-link into the episode
AI is going to put everyone out of work. By the way, no sense of perceived contradiction between those two things.
I think that I wouldn't say that's a reasonable bogey. I think that might be a little aggressive. The world always, I think it's a Bill Gates quote, the world always changes less than you expect over the next one, two, three years, but way more than you expect over 10 years. Just takes time for technologies to diffuse.
Meaning like we don't know what the layoff cycle and the pattern of layoffs inside of companies may be with AI. Meaning, if we all become more generalized, skilled workers, and there may be many, many, many more companies, then the odds are more likely that you provision highly skilled vertically specific work to a set of agents.
most code generated by AI is crap. ... When you allow these models to run over complicated tasks over long periods of time, the error rates compound to such a degree that the resulting output is not worthwhile. And so until that problem is fixed, which I'm sure it will be, and I'm going to bet that it will be, the idea that all of a sudden it's because of coding agents that people are getting laid off, I think is a fallacy.
TH
Thomas Laffont
oppose ×2
▼ on
📈 Agents replace the entry-level analyst — static team size at scale
E232 · 2025-06-21
▶ 1:27:38
I think knowledge workers are incredibly flexible. They can take their tools from, you know, one particular skill set to another. So I think this is going to unleash incredible opportunities for the economy. I think it is going to make us more productive and wealthier. So I'm definitely on the more optimistic side of the scenario.
when you hear public CEOs talking about lowering the number of employees while they're growing 10, 20 percent per year, this is obviously awesome for earnings, the share price. But there's going to be a massive job displacement.
Yeah, I tend to believe that's true. I think the customers that we sell into at 80, 90 are largely large enterprises as well, so not dissimilar to Aaron's customer base.
I think that's the right take because Chamath, I can tell you in our firm, we would never have associates or researchers or analysts, Sacks, you also were in this line of work as well, Venture Capital, you would never have them review legal documents.
RY
Ryan Petersen
oppose ×2
▼ on
📈 Agents replace the entry-level analyst — static team size at scale
E226 · 2025-05-02
▶ 1:11:11
Whereas with AI, it's almost free. I'm calling thousands of them a day going, hey, this load looks like it's a good match for you. Are you interested? And then we activate them on the platform. That's new work that wasn't gonna happen before not just a replacement.
AA
Aaron Levie
oppose ×3
▼ on
📈 Agents replace the entry-level analyst — static team size at scale
E226 · 2025-05-02
▶ 1:11:51
And so I think that'll probably be actually like 90% of the usage of AI in the future will be things that if we look back and we snap the line right now, we said this is what knowledge work is today, 90% of AI usage will be things that we don't do today. 10% will replace what we're doing in some areas.
it's not good for human employment, but what will be kind of, I would say, the rate-limiting factor is just compute.
That actually unlocks a tremendous amount of building, a tremendous amount of opportunity for new employment, for people to come in and small teams of three or four to get hired.
How many companies are we seeing hit a million dollars in revenue with five employees, where that used to take 25
AN
Antonio Gracias
support ×2
▼ on
📈 Agents replace the entry-level analyst — static team size at scale
E214 · 2025-02-07
▶ 1:18:09
What I think is going to happen is that you will have job loss, but the amount of productivity that will be released in the US economy is going to be extraordinary.
You thought that it was the customer support person, maybe you thought it was the engineer, maybe you thought it was the designer, maybe you thought it was the product manager. I think those are less true. I think it's the middle manager
I do agree with you, Aaron, by the way, that when you bring that whole offline services category online and you automate them with AI, I agree with you that that TAM could be ginormous.
AA
Aaron Levie
support ×2
▼ on
📈 Agents replace the entry-level analyst — static team size at scale
E208 · 2024-12-20
▶ 1:11:24
And so that then conversely expands the TAM software, where IT budgets weren't usually applied to those types of things.
This is an accountant, we're going to take an accountant, we're going to make the number one accountant in the world that's an AI agent.
This whole thing about job loss is so overdone. There's going to be a lot of job disruption. But in the case of coders, just as an example, I think we can say that coders, depending on who you talk to, are 10, 20, 30 percent more productive.
the atomic size of companies changes because each company will get much more leverage from using software and few people versus lots of people with a few pieces of software.
those agents are going to do a lot of the work, so we're going to see the number of people working at companies become fixed. And I think the static team size that we're seeing at a lot of large companies is only going to continue.
But now you don't even need the analyst because the analyst is the chain of thought. It's the prompting from the model. And it's completely going to change how knowledge work is done. Everyone that owns a function no longer needs an analyst.