+0.0
net board stance
what this means
57.68
-6.9% · close 2026-09-08
+2% / +77% / +57%
1m / 3m / 12m
-48%
vs SPY since 2024-10-03
86%
of 52w range · -8.4% off high
—
hit rate as primary
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 60 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 MAN
No closed window has used this ticker as its primary play, so there is no scored record here yet. Adjacent plays are listed but never scored.
| idea | call | play | verdict | R | α | closed |
|---|---|---|---|---|---|---|
| 📈 AI eats middle management before the entry level | ▼ SHORT | adjacent | PARTIAL | +18.9% | +2.9 | 2026-01-18 |
| 📈 Agents replace the entry-level analyst — static team size at scale | ▼ SHORT | adjacent | HIT | +47.1% | +29.9 | 2025-09-27 |
The tape — what was actually said
every capture on any idea holding MAN, 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.
if you were to buy a bunch of accounting firms or law firms or IT services firms, and you do an incredible job, who wants to buy that in seven years? ... You could take that generalization and apply it to all of IT services. Why does any of that exist? Why isn't it all one click? Eventually, if these agents become smart enough, the fear that I have is that there is no terminal buyer for many of these companies.
He gave us two anecdotes of how he personally has used some of these tools to make management decisions, and his observation was managers are the first to go.
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.
And if you view it through that lens, you're right, Sacks. We have not accomplished anything yet that proves that this is going to be cataclysmically bad. And if anything right now, history would tell you it's probably going to be like the past, which is generally productive and a creative society.
So if there's a deflationary effect in terms of job need in other industries, I think that the loss will happen slower than the rush to take advantage of creating new things will happen on the other side. So my bet is probably on the order of I think new things will be created faster than old things will be lost.
NA
Naval Ravikant
oppose ×2
▼ on
📈 AI eats middle management before the entry level
E215 · 2025-02-15
▶ 52:38
AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable. Yes, there is some retraining involved, but not a lot. ... But I think David is absolutely right. I think we will see job creation by AI that will be as fast or faster than job destruction.
You're making a huge assumption that's buying into the doomerism that AI is going to wipe out millions of jobs. That is not, those are facts not in evidence. And furthermore, have any jobs been lost by AI? Let's be real. We've had AI for two and a half years and I think it's great, but so far it's a better search engine and it helps high school kids cheat on their essays. I mean, come on.
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
MA
Mark Pincus
support ×2
▼ on
📈 AI eats middle management before the entry level
E211 · 2025-01-18
▶ 1:22:57
the class I taught on Monday at Stanford, they said, everyone wants a job at Meta or Google, and that's the get rich quick place. And it's, I don't even think that's necessarily true anymore. And they can't get those jobs because those companies are now trying to get rid of middle management. So those jobs have dried up.
I just had Arush Selvin, who is the PM at Google doing deep research on This Week in Startups yesterday. And this product is nuts. And they designed it to basically be one of these like million dollar or five million dollar reports you pay for from these consulting firms. That MBA is right. And it does a better job. It's more accurate. It's done in five to ten minutes.
I think what companies are internalizing slowly, that the first place that AI disintermediates is actually middle management. 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, it's the functionary that basically is acting as essentially cartilage inside of this organization, has less and less to do in a place where AI-enabled systems are making a lot of decisions on behalf of businesses.
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.