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Layoffs are getting Wild (ft. Big A)

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Layoffs are getting Wild (ft. Big A)

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1328 segments

0:00

So, right now there's been tons of

0:02

layoffs happening. The last big four

0:03

that I can think of are Facebook,

0:05

ClickUp, Web Flow, and Cloudflare. And

0:07

each one of them are citing AI. And

0:09

honestly, I'm not uh really good at the

0:12

business side of things. And so, today

0:13

I'm bringing on with me Big A. If you're

0:16

not familiar with Big A, you can always

0:17

go check out his YouTube videos or the

0:19

video that me and him even did together

0:21

just not too long ago. But today, I

0:22

wanted to go through four layoffs of

0:25

increasing absurdities. And I wanted to

0:27

hear his thoughts kind of more from a

0:28

business angle because typically on, you

0:30

know, on this channel, we're we're

0:31

pretty deep into tech. And so having

0:33

somebody that's not necessarily on the

0:35

tech side, but on the business side can

0:36

help kind of think through some of the

0:38

problems. And honestly, some of the

0:39

insights that he brought, I've never

0:40

even once thought of before. I'm like,

0:42

I'm still reeling from just like, oh my

0:45

gosh, this even makes it worse. Or, hey,

0:47

this just makes it so ridiculous to

0:49

think this way. All right, so I hope you

0:50

enjoy this. Okay, so today I have Atriok

0:52

with me. he is going to kind of help me

0:54

reason through maybe more of the

0:55

business side of all these layoffs. Uh,

0:58

and so I've kind of ordered these

0:59

layoffs, if there is a Yeah, that's

1:02

true. Is there even a reason reason here

1:04

at all? But I've ordered these layoffs

1:06

from kind of least surprising to most

1:09

surprising and each one gets more

1:12

egregious in a certain dimension one

1:15

after another. So it will get it will

1:16

get rather wild towards the end. And so

1:18

the first one I wanted to talk about is

1:20

this Facebook one. And so starting at

1:22

about 5 minutes and 10 seconds into some

1:24

leaked audio, we hear Mark Zuckerberg

1:27

talk about why he's doing what he's

1:29

doing with AI. To give a little bit of

1:30

preface, it has come out obviously that

1:32

he's recording everybody's device. He

1:34

says, "Hey, we have super smart people

1:35

that work here. We have the highest IQ.

1:37

I know much I know a lot of IQ. We have

1:39

the highest." And so he he goes and says

1:41

this and then right here he says

1:43

something very surprising.

1:44

>> Listen,

1:45

>> knowing the physics of the situation is

1:47

that that stuff is going to leak. So I I

1:49

think you will

1:51

to um we're just going to have to

1:53

navigate that. It's going to be a little

1:55

bit different on a thing by thing basis

1:56

in terms of how we communicate, but I I

1:59

actually think it is like not

2:00

strategically in your interest for us to

2:02

communicate everything like in all.

2:05

>> So, if you got to the point where he

2:06

says it's not in your strategic interest

2:08

for us to communicate everything, what

2:10

he's referring to is he doesn't want to

2:12

tell his employees why he's recording

2:14

their uh motions.

2:15

>> Yeah.

2:16

>> Because it's not strategic for it to

2:18

leak. cuz it might leak

2:19

>> and it's for their best interest.

2:21

>> I'm only looking out for you. That's

2:23

That's

2:24

>> And so then a day later they fire 8,000

2:25

people.

2:26

>> That's a really insane line of thought.

2:28

Mark Zuckerberg, do

2:30

>> you know he's also been doing the uh

2:32

>> he he recorded his own his own data and

2:35

made like a Zuck CEO AI that you could

2:38

ask questions to. Did you see that?

2:40

>> No, I didn't. Okay, that's

2:41

>> I did not see this. Okay, that I mean to

2:44

me that's like kind of you have to have

2:45

some level of psychosis to believe that

2:48

>> if you take only your data your 50%

2:50

answer is good enough. That just feels

2:53

kind of nuts.

2:55

>> Uh yeah, this is pretty I mean I I

2:57

hadn't heard this leaked audio but that

2:58

is a uh interesting way to phrase it to

3:01

see you as the savior or as the nice guy

3:03

on this situation that you're looking

3:05

out for their interests.

3:07

Is there is there any like because his

3:09

whole argument goes something along the

3:10

lines of if the competitors get how

3:13

we're doing things, they're going to be

3:14

able to beat us to it because AI is the

3:16

most competitive thing in the universe

3:17

right now. There's arguably no more

3:19

competitive landscape than AI in the

3:21

history of mankind.

3:22

>> Sure. I I guess what I'm saying is I

3:25

think it it's not like it's a seems to

3:27

be a big secret. If you're recording all

3:28

your employees data, it's because you're

3:30

trying to train an AI to do those

3:31

things. What's the What is the big

3:33

Everyone understands what you're doing.

3:34

It's not I we can't possibly tell you

3:37

that and then tomorrow you do a layoff.

3:38

He's not he's not a dark mastermind.

3:41

It's pretty obvious. So yeah, I don't I

3:43

don't I don't know.

3:45

>> I actually didn't even think about it

3:46

from that one-dimensional angle of like,

3:48

oh, you just recorded every single thing

3:49

they did.

3:51

>> Yeah, that's the value is you can

3:53

recreate what the employee does and then

3:55

sell that intelligence to another or or

3:57

cut the jobs. What's the what other

4:00

benefit could there be? I do think one

4:02

thing he was right about though, he said

4:03

in that leaked call that, you know,

4:05

everything we do leaks and us watching

4:07

this proves that he's right. He is

4:10

correct that like if he says whatever he

4:12

says is going to get out there because I

4:13

don't think he has a lot of uh

4:15

institutional loyalty right now. All the

4:16

all the leaks coming out of Meta are

4:18

that the vibes there are truly atrocious

4:20

prior to this layoff, but especially

4:22

post. People just feel like it's every

4:24

man for themselves. It's uh siloed

4:26

departments grabbing whatever power they

4:28

can and trying to make whatever money

4:30

they can out of this this uh this

4:33

machine. But there's no like larger

4:35

mission they seem to be pushing forward.

4:36

>> All right. So, this is a I I told you I

4:38

was going to do this towards the end,

4:39

but I actually want to hear it now,

4:40

which is

4:41

>> is there like they say that this is

4:43

going to be kind of dystopian that

4:45

everybody gets fired yet Meta's making

4:48

record profits

4:50

in this kind of situation given Meta's

4:52

current outlook.

4:55

Should they be able to, you know, I know

4:57

that's kind of a loaded question,

4:59

>> right?

4:59

>> Do you think it's wise, good, or they

5:02

are allowed to fire 8,000 of their staff

5:04

while making record profits? And is

5:06

there like a good justifiable reason

5:08

like a reason that would make the

5:09

average person not feel a bit cringed to

5:11

buy it?

5:12

>> No, I think I mean it's a loaded

5:13

question in that the safe YouTube answer

5:15

is like of course not you know never

5:17

they have profits never but I'll try to

5:19

steal man it a little bit just because I

5:20

want people to understand. I think what

5:22

makes here here's one thing I'll say

5:24

about Meta and I'm not a defender of

5:25

Zuckerber or Meta here but they do a a

5:29

remarkably generous severance. I I don't

5:30

know the exact data on me, but it's like

5:32

one of the best packages if you're if

5:34

you're getting laid off. And so I think

5:36

what makes this particularly hard on

5:38

people is that the job market broadly is

5:42

so negative. It's so down. Normally a

5:46

company, I mean, theoretically, they

5:47

should be able to hire and fire who they

5:48

want. It's it's like if they lose great

5:50

talent because they have a bad culture

5:52

where they're hiring and firing a lot,

5:53

that's their loss and the great talent's

5:55

going to go elsewhere. Like I really the

5:58

idea that it should be restricted or

5:59

that you know they could hire a bunch of

6:00

people for one division and then not be

6:02

able to lay them off to hire somewhere

6:03

else. It's like they should be allowed

6:05

to do that. It's just that the broader

6:07

context is that these hyperp

6:09

profofitable companies are laying people

6:11

off into an environment where there's no

6:12

other jobs or there there's like there's

6:13

a lot fewer jobs for their skill set. So

6:16

that's what makes it feel so egregious

6:17

and negative. I I think in a different

6:20

higher growth environment it would seem

6:21

like this is just a stupid idea from

6:22

Meta. They're going to take a big L from

6:24

this. But instead, it feels like more

6:26

like the employees are taking the big L

6:27

because they have nowhere else to go.

6:29

So, I I'm it's a I think that's my

6:31

nuanced answer. I do think that um

6:35

you know, some of this is is postcoid

6:38

overhang where everyone hired a ton and

6:39

now they're like slowly trying to

6:41

rightsize that and that is going to be

6:44

layoffs even if they're having profit.

6:46

And it's worth saying that some

6:47

companies can have record profit one

6:49

quarter and then soon after be in a much

6:52

worse position and they're trying to get

6:53

ahead of that. I don't know if Meta is

6:55

one of those. They have such a cash

6:56

printer with all the social media

6:57

companies.

6:58

>> Yeah, they're actually uh I believe

7:01

2027, early 2027 or late 2026, they're

7:03

set to overtake Google for advertisement

7:06

revenue.

7:06

>> Oh my god. Yeah. So, I

7:08

>> So, I think they're going to keep on

7:10

making money. I don't think that's the

7:12

uh

7:12

>> I think it's more of where they're

7:13

putting their money is what they're kind

7:15

of banking on here.

7:16

>> Yeah. And again, it does seem to be, you

7:18

know, you talked about AI layoffs. What

7:20

it seems to be with these big

7:21

hyperscaler companies, not they're

7:23

laying people off because they can

7:24

replace the job with AI. They're laying

7:26

people off because they need more money

7:27

to spend on AI capex. They're like

7:31

they're spending absurd amounts of money

7:34

on these buildouts of data centers and

7:36

that is where they're trying to find

7:38

cost savings and so they're they're

7:39

cutting staff to make that more

7:41

palatable to investors which I think is

7:44

probably the worst possible reason to do

7:46

it. But again, I think this is a tough

7:47

one to defend, but in a different

7:50

environment, it would be like more of

7:52

their loss than the employees.

7:53

>> No, it is interesting about the

7:55

competitive landscape. I So, I haven't

7:56

heard a lot of these internal

7:57

discussions about Meta being a terrible

7:59

place to work. I just I've always just

8:01

made that assumption from my, you know,

8:03

my earlier interactions while in the

8:05

valley. It was uh there was a lot of

8:07

rumors going around about their company

8:08

that were

8:10

>> shocking to say the least. And so I

8:12

would not be surprised if that is in

8:14

fact the case that they're breeding a

8:15

more and more toxic culture that it kind

8:17

of sounds like Microsoft. If you ever

8:18

seen the org chart for Microsoft, it's

8:20

just a big like kind of triangle with

8:22

guns pointed at everybody because it's

8:24

just like everyone's just land grabbing.

8:26

That's all they do. They don't actually

8:27

build stuff. They just land grab.

8:28

>> So when I was at Nvidia, uh I sat next

8:31

to a bunch of these engineers and they

8:32

would talk about the Facebook brand tax.

8:35

It was before it was Meta. And the idea

8:37

was like if any of them were to accept a

8:39

job at Meta, they would have to get paid

8:41

more for the same role. Like they have

8:43

to pay extra because people don't want

8:45

to work there. Not just for the vibes,

8:47

but for the like the there's like a

8:49

stink of working at of of Facebook or

8:51

Meta. It's like

8:52

>> the inverse Apple would pay historically

8:54

lower because people loved it.

8:56

>> Exactly. It's the inverse Apple. And so,

8:59

uh, I feel like that's only gotten worse

9:00

with time. It's becoming meta and, you

9:03

know, the the decline of I'd say their I

9:06

think there was a time when they seemed

9:08

to be a bit of a more of a

9:10

forward-thinking company where social

9:11

media was less hated by everybody, but

9:13

now it's now it's it's tough to sell.

9:15

>> Yeah. I don't I don't think you can win

9:16

easily. Like even Mark Zuckerberg's

9:18

rehab from Lizard Man to Tanned Lizard

9:20

Man. Like even that is just you know you

9:23

like him more, but you know that is

9:25

still like in the grand scheme of liking

9:27

it is still uh very disproportional. All

9:29

right, so I wanted to get that one out

9:30

of the way cuz everyone kind of knows

9:32

about this. This happened weeks ago and

9:34

for me this was or weeks ago. Gosh, that

9:36

was actually eight days ago.

9:38

>> Time is flying. Every week is a month

9:40

right now. But uh so with that kind of

9:42

in mind, I I wanted to lay that because

9:44

that is the most reasonable of all the

9:46

layoffs that I could find.

9:47

>> Really,

9:50

>> you're probably thinking that can't that

9:52

can't be true.

9:53

>> For something cuz that's 8,000 layoffs

9:54

on a quarter of record profits from one

9:56

of the biggest companies in the world.

9:57

So I'm excited to see how it goes from

9:59

here.

9:59

>> Yet again, this is called ClickUp. Uh, I

10:02

actually have no idea what ClickUp does.

10:04

>> It's like a productivity soft. It's like

10:06

a sauna or something, right am I

10:07

correct?

10:07

>> I assume I assumed it's some sort of

10:09

it's it's some product. I just thought

10:10

it was a productivity software. That's I

10:12

mean I always think that the most

10:13

productive AI workspace. I don't

10:15

>> I actually don't know what those things

10:17

mean anymore cuz there's so many of

10:18

them. I'm like is this just like Google

10:20

Meets with like Clippy? Like what

10:21

exactly do you mean here? They say

10:23

they're going to reduce headcount by

10:25

22%. The business is the strongest it's

10:28

ever been. So again, they're saying

10:29

we're making money. Like things are

10:32

fantastic. We're absolutely doing it.

10:34

It's super great. And so here's the two

10:36

big contentions. Okay.

10:37

>> So the first thing he says down low is

10:39

that he wants to make the 100x

10:41

organization.

10:42

>> He wants to restructure and make his or

10:45

have a 100x the output.

10:48

>> Okay.

10:50

>> Also, he's going to be introducing $1

10:52

million salary bands for those that can

10:55

make giant AI impact. Here's the thing

10:57

that I I I I don't believe about these

11:00

statements and I want you to just try to

11:01

explain to my P-sized brain. Uh so if

11:04

you have 365 days in a year,

11:07

>> Uhhuh.

11:07

>> if you were to make yourself 100x

11:09

efficient, that means in 3.65 days, you

11:13

can do what you did in one year. Now,

11:15

obviously, if you're in Europe, that

11:17

means in about 1.8 days is what you do

11:19

in a year. Good joke. Europe joke. Got

11:21

him. Uh no. Uh or maybe I got myself on

11:24

this one. Can't really tell. But the

11:27

thing is is when I hear these statements

11:28

from these people like this is why we're

11:30

firing people because we're going to

11:31

make 100x work. Even if let's pretend

11:34

you could actually make all the work you

11:35

would work in a year appear in 3.65

11:38

days. Is it even physically possible to

11:42

make the decisions you make over that

11:44

course of a year boiling down to 3.65

11:47

days?

11:47

>> Uh can you actually even like think

11:50

through problems that fast? That is a a

11:53

problem for someone smarter than me

11:55

because it's not happening. That's 0%

11:57

chance that they're 100xing output. No

12:00

company's reported any level of

12:01

productivity gain like this. I think if

12:04

you go back I mean to his first line

12:06

they all say that. That's the thing is

12:07

that

12:08

>> yes

12:09

>> that is the the standard opener is we

12:11

just had our best month ever. Things are

12:13

so strong. Don't worry that we're laying

12:15

off a lot of bad people. Sometimes I

12:16

would say in like Meta's case they are

12:19

in a good financial position when

12:20

they're doing layoff but many times

12:21

companies will say this when they are

12:23

not when they are declining especially

12:25

if they're I mean this is a again I'm

12:27

not an expert on what ClickUp does but

12:29

if it's in the software as a service

12:30

sector all those companies are getting

12:32

hammered all of those companies are

12:34

stock down uh competitive pressure

12:37

investors pulling out because they're

12:38

worried about AI eating their lunch. So,

12:40

the idea that this guy is like the the

12:43

super strong business who's not worried

12:44

about any of that, but we're just

12:46

happening to lay off a quarter of our

12:47

company. I I don't know. I I would I

12:49

would more easily attribute this to uh

12:52

business worries trying to get cost

12:54

under control than anything like, oh, we

12:56

have a 100x in the pipeline that no one

12:58

else has seen. And yeah, and again, I I

13:01

mean, I don't know. It reminds me of

13:02

like um Twitter when Twitter would hire

13:05

a bunch of engineers and then the

13:06

product wouldn't change at all. Like

13:08

what is ClickUp doing that is what what

13:10

is the what is their plan? Yeah. For the

13:12

100x what is their what are they

13:14

100xing?

13:16

>> Like well yeah even if you could 100x

13:18

what are you even 100xing like that

13:20

would mean oh I accidentally invented

13:22

search that's as good as Google. I also

13:23

did Netflix. I also did Yeah. We built

13:25

everything. We built the whole universe

13:26

actually.

13:27

>> Yeah. It's not like a factory where

13:28

you're increasing the output 100x. It's

13:30

a it's a product that is you have to

13:32

design something new or important

13:33

feature. And I don't know what they're

13:34

doing with ClickUp that is so innovative

13:37

or different. Yeah, I don't get it. But

13:39

>> maybe.

13:40

>> Yeah. So, for me, even if I took this

13:42

and we reduced it down to like a 10x

13:45

>> this slice right here, I don't even know

13:48

if that's possible to do 10x the amount

13:50

of output in, you know, 36.5 days that

13:54

you would do in a year. Because again,

13:56

for me, it's just like good decisions

13:58

take time. So even if theoretically you

14:01

could and I honestly I've never even

14:02

thought about your point to uh that it's

14:04

not a factory. You can't just simply

14:06

you're not increasing output of a

14:08

physical good like what does it even

14:09

mean?

14:10

>> Yeah.

14:11

>> So like but even this at 36.5 days like

14:13

I can't even envision a world in which

14:16

this is true. Like I don't know how

14:18

someone would make those you'd have to

14:19

be so like such a good downhill skier on

14:22

decision-m to be able to ride out that

14:25

wave cuz you're going to make one wrong

14:26

decision and then you're just straight

14:28

in the trees, right? because you're

14:29

going so fast.

14:30

>> Yeah. Yeah. Absolutely. You need a truly

14:32

world-class executive team with a really

14:34

sharp vision. And I don't think this

14:36

guy's that guy, but I'm not I'm not an

14:37

expert on ClickUp. Maybe they are. I'm

14:38

not gonna

14:39

>> You're not that guy, pal.

14:40

>> I don't.

14:43

>> Okay. So, I say I So, you're probably

14:45

thinking, "Okay, how could this one be

14:46

as ridiculous as the Mark Zuckerberg

14:47

one?" Yeah, like the 100x thing is

14:48

pretty ridiculous.

14:49

>> Sure.

14:50

>> Well, seven days before they released

14:53

this video. Watch it. So, he's walking

14:54

with his boss. They see AI dancing.

14:57

They're confused

14:59

and then the employee is like, "What is

15:01

this?" Boss is gone. Now dancing with

15:04

the AI, he's confused. Boss kicks the

15:06

cup and splashes it into the employes

15:08

face.

15:08

>> Crazy.

15:10

>> What the

15:11

>> literally like like literally one week

15:13

before firing everyone from AI, they

15:15

released a video like, "By the way, the

15:17

boss lets the employee hold the bag."

15:19

Like,

15:21

>> that is actually I I have not I'm

15:23

surprised I haven't seen that. I'm

15:26

surprised my chat hasn't sent me that.

15:27

That is horrible.

15:29

>> Yeah, this was bad even before they did

15:31

the layoff. Like when you see this like

15:33

>> that is of

15:34

>> it's pretty tongue and cheek. Like some

15:35

some companies could get away with that.

15:37

Like I'd expect someone like George H.

15:38

Hot who's been largely uh and Tiny who's

15:41

been largely going against a lot of the

15:42

AI stuff despite making AI processing in

15:45

small data centers.

15:46

>> They're like, "No, a lot of this stuff

15:47

is wrong. If they made this video, I'd

15:49

be like, "Oh, I totally get it."

15:51

>> Sure. But this is wild to release right

15:54

before laying off a bunch of people.

15:56

>> That No, that is I mean I'm not kidding.

15:58

That's one of the worst I've ever seen.

15:59

That's crazy. That literally is the CEO

16:02

kicking a couple in his eyes in his

16:04

face. That's

16:06

>> Can you believe I'm about to make it

16:07

even more crazy?

16:08

>> You I thought what was going to happen

16:09

is that they were going to cut again and

16:11

then the employee would be dancing with

16:12

him and like then the CEO got him on

16:13

board and it'd be like kind of cheesy,

16:15

but it's like that's the idea. The fact

16:17

that he turns around and [ __ ] kicks

16:19

him is crazy.

16:22

Oh, never I never saw it coming.

16:24

>> I never saw it coming. That is uh that's

16:25

I'm on guard.

16:27

>> Uh yeah,

16:27

>> and when this happened, literally for

16:30

days, people are like, "Dude, you just

16:32

released a video of destroying your

16:34

employees with AI." Like, what is this?

16:37

How could you do this?

16:38

>> I mean, they better hope. A CEO like

16:40

this needs to hope that AI is going to

16:42

make their five remaining employees

16:44

super productive because if not,

16:46

nobody's going to want to work there,

16:47

bro. If if you know if the shoe is ever

16:50

even slightly on another foot and it's

16:51

more of a

16:53

>> um employees market like this is this is

16:57

a horrible culture. No, nobody's going

16:59

to choose this unless they absolutely

17:00

need it for their paycheck and even then

17:01

they're just a mercenary.

17:02

>> Like just even back to the 100x thing.

17:04

>> Yeah.

17:05

>> What I hear this what I really hear is,

17:07

hey, you're working when you're at work.

17:09

When you go home to your kids, you're

17:11

working. When you're about to go to bed,

17:12

you better be kicking off agents and

17:14

working. Like you better be work. You

17:16

better wake up at three in the morning

17:17

and make sure your agents are still

17:18

running because when you wake up by 6, I

17:20

expect three more days of effort coming

17:21

out. Like it it would have to be such a

17:24

toxic culture going on there.

17:26

>> Well, I mean the CEO bus has to film the

17:27

Tik Toks. Like they're all they're both

17:29

they're all staying busy.

17:31

>> Okay. True. True. I mean that's that's

17:33

hard. I know how hard it is to film a

17:34

good Tik Tok. That's that's true. All

17:36

right. So this next one

17:39

>> I'm surprised it gets worse than that.

17:41

That's literally one of I'm not kidding.

17:42

That's one of the worst things I've ever

17:43

seen to make that video and then lay off

17:45

a fourth year company. It's crazy. All

17:46

right,

17:47

>> I think this one's worse. Okay, so Web

17:49

Flow cuts I forget how many people they

17:52

cut. Uh they cut a good percentage of

17:54

people. I know there's a number

17:55

somewhere.

17:56

>> Okay,

17:56

>> and someone responds on LinkedIn tagging

18:00

both the CEO and their boss saying the

18:03

following. Hey, Linda Tong, I'm locked

18:05

out of my Web Flow laptop since 7 a.m.

18:07

this morning. Rumor has it we've been

18:09

laid off, but I don't have an email or

18:11

any message to confirm that. And I

18:13

actually said I don't think Linda would

18:14

lay people off again without letting

18:16

them know first, especially if they're

18:18

on a closed work permit in a foreign

18:20

country and it would mean relocating

18:22

their whole family. I'm certain she

18:23

would have the dignity to let folks know

18:25

in a better way given the last debacle.

18:28

Tell me it's not true. Also, take my

18:30

manager. Do I have any news? Do I have a

18:32

job? And then hours later, the company

18:35

Web Flow releases this document where

18:37

she says, "Yeah, we made a difficult

18:38

decision to restructure Web Flow and

18:40

we're laying off a bunch of people." And

18:42

then 24 hours after that, she has still

18:45

made no public announcement and people

18:47

have no idea.

18:48

>> Oh, wow.

18:50

>> They're just like, "Oh, I guess I guess

18:51

I'm fired."

18:52

>> Wait, when you say people, you mean

18:53

employees? The employees still don't

18:54

know.

18:54

>> The employees did not know

18:56

>> for hours upon like there's 24 hours for

18:59

some people that they didn't even know

19:00

they were fired. They just couldn't

19:01

work. And so then they're like, "Oh, I

19:02

guess I guess I'm fired."

19:05

>> Uh, what is the how big is Webflow?

19:07

>> I don't know what Web Flow does, but

19:09

this has to be the just for me. This was

19:11

even worse because the other one was bad

19:13

just by pure looks of it.

19:15

>> This one is she's done this once before

19:17

and fired people without letting them

19:19

know, which by the way is illegal in

19:21

virtually every country. Even at will

19:23

California, that's actually illegal. You

19:24

can't fire someone,

19:25

>> especially for European employees or

19:27

anything. She's going to get absolutely

19:29

>> and the fact that this person's like,

19:31

"Hey, I'm here on a work permit." It's

19:32

called a they called it a uh closed,

19:34

it's I forget what it's exact term, but

19:36

it's like a closed work permit, meaning

19:38

that you can only work for one company.

19:40

>> And so if they fire you, you have to

19:42

move away.

19:44

And so it's like this person doesn't

19:45

even know he's getting fired,

19:48

locked out. All these people don't know,

19:50

and she's just not responding.

19:52

>> Okay, so I didn't know um the size of

19:54

Web Flow based on this story. I thought

19:56

they were really small, but they have up

19:57

to 1,600 people globally. I don't know,

19:59

prior to this layoff, that that is too

20:01

big of a company to behave like this.

20:02

You you like I mean, it wouldn't be good

20:05

for anyone, but if it was a very small

20:06

startup, I could see like maybe they

20:08

just didn't have the funding or it ran

20:09

out or whatever. This is crazy. This

20:12

>> again, I I guess

20:13

>> it it just shows to show that the job

20:15

market is in a rough spot right now

20:17

because

20:17

>> you wouldn't be able to get away with

20:19

this. Like, previously, this would just

20:20

be absolutely death sentence for your

20:22

culture in terms of people wanting to

20:24

work there. I mean, it's it's it's like

20:27

there's taking advantage of a moment

20:28

where people are really hungry for a

20:30

job, but that that is not an

20:32

inevitability.

20:34

>> Yes. I I'm just shocked that this is not

20:37

even the first time. Like, how do you

20:38

even operate as a company? Like, how do

20:41

you get away with this once? I I would

20:42

assume you'd get like sued into oblivion

20:44

by so many people just for it to happen

20:46

like again. Like, how do you make the

20:48

same mistake twice?

20:50

>> Yeah. I don't get what I don't get is uh

20:51

it's not that hard to do the the the

20:53

corporate layer of this to put out the

20:56

blog post ahead of time to tell people

20:58

you're reading like send the mass email

20:59

like it's not the the bare minimum is

21:02

not hard and it's not even much to

21:04

celebrate like the idea that you're

21:05

going to like surprise people with it is

21:07

so crazy. It's like uh you know people

21:10

do this in real life when they don't

21:11

want to give bad news and they just

21:12

avoid it and avoid it and avoid like you

21:14

have to do it you have to say something.

21:16

>> This is literally like a kind of like a

21:18

toxic breakup. Yeah. where they just

21:20

literally don't talk to you anymore and

21:21

you're like, "Are we still dating? I

21:23

don't actually know." Like,

21:25

>> uh, that's funny. It that's that's like

21:28

a bad attitude for someone who's been

21:30

through a couple rounds of interviews,

21:31

let alone somebody who works at your

21:32

company.

21:33

>> So, I just found this Yeah. So, I found

21:35

this one the most egregious of them all,

21:37

just just due to the fact that it's so

21:39

direct in kind of like the awfulness of

21:42

it all cuz the other ones were like

21:44

indirect, I guess, in some sense,

21:45

whereas this one is uh in a very direct.

21:48

we just don't care about you and no

21:51

matter what you think, we're saying it

21:53

with our actions like directly.

21:55

>> Like the other side of this coin is when

21:57

companies are way into the whole we're

21:59

family and everything. I I there's a

22:01

middle ground where you could just treat

22:02

someone with respect and understand that

22:03

it's a job. I I don't it doesn't have to

22:05

be uh the CEO is your best friend or

22:08

whatever, but I think there's a middle

22:10

ground where you tell someone what's

22:11

going on. Ideally, have some warning on

22:13

things like this. Ideally, plan ahead so

22:15

you're not doing things like this. I

22:16

mean that that would be the ideal. I I I

22:18

think uh I don't know too much about Web

22:20

Flow, so I can't say what their business

22:21

situation is. They could be I mean going

22:23

under I mean they could be like in a

22:25

near bankruptcy situation. I I don't I

22:27

don't know what's going on. So

22:28

>> that's true. I don't think they I'm not

22:30

sure if they said a lot about them

22:31

making record profits at this point. Uh

22:33

they're saying how they're you know a

22:34

big pivot is needed and they need to

22:36

kind of figure out what they're doing.

22:37

But I guess from a like from the

22:39

business side of point, it is a good a

22:41

good point. Like if you have 1,600

22:42

employees, you have the apparatus to do

22:45

these things, right? You're like you're

22:46

no longer in that kind of scrappy

22:48

startup phase where you're like, I have

22:50

five employees

22:51

>> and well, even then it doesn't make any

22:53

sense. I I'm not sure what the number of

22:55

employees makes sense where you could

22:56

make this mistake, but it's certainly

22:58

not.

22:59

>> I just mean like if it was a small

23:00

enough team, you would have like no

23:03

department for like handling this. And

23:05

maybe it just doesn't I I I I'm not I'm

23:07

trying to I'm I'm bend over backwards to

23:09

give him some charity. I did look it up.

23:11

I think Web Flow is a no code website

23:13

builder. So no one I think they are

23:15

probably really struggling that that is

23:17

getting completely destroyed by I mean I

23:19

know that the one of the the largest

23:21

market cap falls of a big company

23:23

recently was Wix which does the same

23:25

thing. They lost like 50% of their

23:27

value. So all these like no code website

23:29

builders are getting eaten by by Claude

23:32

and and Chad GBT and um yeah I would not

23:35

be surprised that they they can't raise

23:37

money anymore and they need to lay off

23:38

but to to do it without an email is

23:40

crazy.

23:41

>> All right so I show you those those ones

23:42

because this last one is very surprising

23:45

but in a in a in a unique way. So this

23:47

is Cloudflare. Uh if you're not familiar

23:49

with Cloudflare they do like a third of

23:50

the internet runs through their

23:52

infrastructure. they have a very very

23:54

large infrastructure and he starts off

23:56

the email saying hey we're gonna uh let

23:58

go of a effectively 1100 employees okay

24:01

>> and we're doing that while Cloudflare's

24:03

usage of AI has increased more than 600%

24:06

they're having the best quarters they've

24:07

ever had things are all headed in a very

24:10

very positive direction but then they

24:12

add this at the bottom which I thought

24:13

was uh interesting at least uh it's

24:16

important to us that we treat departing

24:18

team members right and in a way that

24:19

exceeds what we've seen from other

24:21

companies we believe acting With empathy

24:23

isn't about avoiding hard decisions, but

24:25

rather about how you treat people when

24:26

those decisions are made. If we are

24:28

asking our team to be world class, we

24:30

have to reciprocal. We have a reciprocal

24:33

obligation to be world class and how we

24:35

treat them.

24:35

>> Okay.

24:36

>> We are uh pairing the directness of

24:37

those measures with severance packages

24:39

that lead the industry. The package for

24:41

departing employees will include the

24:42

equivalent of their full base pay

24:44

through the end of 2026. This was in

24:46

April.

24:47

>> Okay.

24:47

>> Healthcare coverage is different across

24:49

the globe. If you're in the United

24:50

States, we'll continue to provide

24:52

support through the end of the year. We

24:53

are also vesting equity for departing

24:55

team members through August 15th, so

24:57

they receive stock beyond their

24:58

departure date. And if departing team

25:01

members haven't hit their one-year

25:02

cliff, we are going to wave those and

25:04

vest their PR-rated equity through

25:06

August as well.

25:07

>> That's pretty good. That's that's pretty

25:08

awesome. To be honest, that's worth

25:09

celebrating. I got no problem with that.

25:12

>> So, this is where I want to ask the same

25:13

question again, which is, is it okay to

25:15

let go of employees while having record

25:18

profit? Yeah, I think it goes back to my

25:19

original answer again. I think most

25:21

people would be super happy with this in

25:23

an environment where it was easier to

25:24

find a larger uh find find a job with

25:26

their same skill set. The fact that it's

25:29

not is not necessarily Cloudflare's

25:31

fault. Again, I I I can't I think the

25:34

idea that every company has to be

25:36

hamstrung to every employment decision

25:37

forever is will lead to some negative

25:40

outcomes long term. So I think I'm more

25:44

broadly on a societal level. I want the

25:46

country to head towards a a growing

25:48

economy so there's more jobs available

25:50

rather than have to chain everyone to

25:52

one company that could be failing or

25:53

growing. That's my broader idea. I do

25:56

think that in these cases um I think

25:59

this is actually the best example. I'm

26:01

literally I think this is April through

26:03

the end of the year is a pretty

26:05

significant

26:07

severance package. full pay plus vest

26:10

and cliff that I don't know. I'm sure

26:13

I'll get some flack in the comments, but

26:15

that seems to be like pretty good that

26:16

that that I think what it does it

26:18

maintains the culture that allows you to

26:20

continue to hire top talent. That is

26:22

like, okay, I think I'll be okay to work

26:23

there because you're not going to screw

26:25

me over if the wins go a different way

26:27

and you have to change this department

26:28

or whatever. That's that's not bad.

26:30

>> Yes. And the the re and by the way, if

26:32

you look at their stock, I thought this

26:33

was kind of important. Their net

26:35

earnings is negative 22 million this

26:37

last quarter. So, it's not like they're

26:38

um

26:39

>> So, there you go. Net income.

26:40

>> So, unlike Facebook, they're losing

26:42

money and yet they still managed to find

26:44

Yeah, that's crazy.

26:45

>> Yet, they still managed to do like a

26:46

pretty dang good job uh I guess

26:48

employee-wise. And so, the reason why

26:49

I'm bringing up this one specifically is

26:51

that this is the first company that I

26:54

actually believe when they say, "Hey, AI

26:56

is making us make some new decisions and

26:58

so we are going to be doing some level

27:00

of a pivot." Because the reason why I

27:02

say that is that they're actually

27:03

putting their, at least from my

27:05

perception, again, I'm not I'm not a

27:06

business guy. I like codes. I like the

27:08

ones and zeros, as they say. Uh they're

27:10

putting their money where their mouth

27:11

is. They're saying, "Hey, yes, like we

27:14

like the people that we're letting go.

27:15

We're just simply changing what we're

27:17

doing. So therefore, we want to do right

27:19

by those people because we didn't fire

27:21

them for bad behavior. We fired them for

27:23

like accidentally being on the wrong

27:25

side of the fence during some sort of

27:27

economic change, I guess."

27:28

>> Yeah. Again, I I I

27:31

it's I'm glad you brought this. It's

27:32

actually a really interesting segment

27:33

because I haven't seen these things and

27:35

this blog post is one of the first ones

27:37

I've read where it feels like there's a

27:39

there's a a strong connection between

27:40

the words and the actions that feels

27:43

like there's some followthrough. I I'm

27:45

I'm generally pretty impressed. And

27:46

Cloud is one of the uh the software

27:49

companies that has like you mentioned

27:51

the stock that has done pretty well out

27:52

of this. If if you scroll back up, there

27:54

was something I wanted to say about the

27:55

um yeah, this. So, I I I'm I'm quite

27:58

sure that they're using AI more than

28:00

ever. All these tech companies are, and

28:01

I'm sure there is some connection here,

28:03

but it's funny that they kind of are

28:05

required to say this right now. You have

28:06

to say AI is going up when you do the

28:08

layoffs. So, it seems like you are

28:11

>> um in no trouble. A good example of this

28:14

is Intuitit uh Turboex just had a same

28:18

announcement where they did a big

28:19

layoff, but they said specifically this

28:21

is not for AI. there is no AI related to

28:23

this because Intuit is scared of AI

28:25

eating Turboax's lunch. And when they

28:28

said that, they're stuck cratered

28:29

because it's like, oh, you're laying

28:30

people off and there's no AI. You're

28:32

just failing. You're just in a bad spot.

28:34

And they got completely punished. So,

28:36

it's like they're almost forced to be

28:38

like, we're doing these layoffs. It's

28:40

because of AI. We understand it. We're

28:42

ahead of the game. Um, there's this song

28:44

and dance you have to do. I'm not sure

28:46

CloudFare is doing this. Again, I wish I

28:48

knew more about Cloud for a specific

28:49

business, but um it does feel like

28:52

there's a little bit of that in there.

28:54

But I I again, I commend them for it's

28:57

in their best interest long term to not

28:59

be a place that people hate to work or

29:01

are afraid to work or don't want to

29:02

work. As long as we believe human talent

29:05

has value, which I still do obviously,

29:07

uh you you want to build a culture where

29:09

that matters.

29:09

>> Okay. The followup question I have which

29:11

I

29:12

I don't personally have a great answer

29:14

but I I get this one every single time

29:16

which is okay then why couldn't they

29:18

have repurposed the 1100 employees

29:21

like they're saying hey we're firing all

29:23

these people and then a lot of them like

29:24

Cloudflare also hired 1100 interns

29:27

approximately I think 1,11 interns

29:30

>> did they really

29:31

>> just in the last little bit? Yeah. And

29:33

so why couldn't they repurpose the

29:35

workforce? Like why let everybody go?

29:37

Why not just redo this? Is there any

29:39

risk? Because I I think I have some

29:41

answers to that one, but I'm not

29:42

actually really sure.

29:44

Is there a world where it's better to

29:47

keep the employees and attempt to

29:49

retrain them,

29:50

>> or is there a better reason why you

29:51

should fire people and hire new people?

29:53

>> Listen, I'm steel manning here, right? I

29:55

have I have like three employees and I

29:56

retrain them to do a variety of

29:58

different things. We're we're not

29:59

>> Yes.

30:00

>> But

30:00

>> we're not the same. I don't have

30:02

>> I have 1100 employees that I'm trying to

30:03

shift around. I guess the the idea would

30:06

be I mean it is sort of difficult to

30:09

take someone who's entrenched in a

30:10

certain role for many many years and put

30:12

them on something else rather than

30:14

hiring someone who's an expert at that

30:15

role. That that that seems to be um

30:19

pretty obvious on its face. Again,

30:22

I it's not that I necessarily think the

30:25

decision couldn't work. It's just that

30:28

you have to balance it with the fact

30:30

that all your employees, if they feel

30:32

there's a culture where they're going to

30:33

get cut at a moment's notice, will not

30:35

give you their best effort. They're not

30:37

excited to work there. And so that's the

30:39

balance is yet is if you can find a way

30:41

to retrain them, then you've created a

30:42

culture where it's like, oh, this is a

30:44

this is a company that truly actually

30:46

values my experience and my being part

30:48

of this mission. And when you do

30:49

something like this, you're undermining

30:50

that. So that's the balance they have to

30:52

strike. Again, I don't know how diff

30:55

you're the guy on the programming side.

30:57

I wouldn't know how different someone

30:58

who's like doing one thing versus doing

31:01

AI related tasks. I what is the skill

31:04

set crossover is it take a lot of

31:06

retraining? I I couldn't answer that but

31:08

I'm just saying like yeah

31:10

>> well I've I've said this a lot which is

31:12

you've you've probably you've at least

31:14

I'm sure you've at least read this like

31:15

in 2022 2023 people are like hey you

31:18

better use AI now because if you don't

31:19

you're going to be left behind. In 2024

31:20

came across they said the exact same.

31:22

2025 they said the exact same. If you

31:24

look at how people used AI in 2024,

31:26

there's almost like no overlap to how

31:29

you use it today. Like there's a very

31:31

funny tweet that I know I I have pulled

31:33

up somewhere, but it effectively goes

31:34

like, if I want to get JSON output, like

31:38

structure to JSON output from a model, I

31:40

have to threaten to kill myself to make

31:41

it happen. And this was an OpenAI

31:42

employee saying this. Like just the

31:44

world we live in is vastly different

31:46

than it was 2 years ago. And so this

31:49

idea that oh all of your like if you

31:51

don't go right now you will be

31:53

completely skillless and you're not

31:54

going to be able to do all these things.

31:55

Well no it's just like it changes so

31:57

fast and in such ways you don't expect

31:59

that it's just like to me I don't see

32:01

like I see both sides. I think there's

32:04

way less risk hiring, 1100 people that

32:08

you know fit the role versus attempting

32:10

to train, 1100 people that you don't

32:14

know could fit the role because some

32:15

people just are very successful in one

32:17

and can become very unsuccessful in

32:19

another even though it's super super

32:20

close. And sometimes it's like shocking

32:22

how like that can happen. You're like

32:24

this is the same thing pretty much. How

32:25

are you not successful? And so to me it

32:28

makes sense that even if you could

32:30

theoretically in this world retrain,

32:32

1100 people, which you have to add an

32:34

additional what 100 people to help like

32:37

facilitate the training, like even

32:38

though you'd have to expand all this to

32:40

actually make this possible,

32:41

>> your hit rate,

32:44

my guess is going to be different than

32:46

hiring the person that can already do

32:47

it. And that's why this makes sense.

32:48

Like at least that's that's kind of like

32:50

my argument. And so it's like sure you

32:52

could retrain and I don't think there's

32:54

a great cost or honestly I don't even

32:55

think it's that great of a cost. I don't

32:56

even know if it's seven and a half

32:58

months of severance cost to retrain all

32:59

these people to be excellent. They

33:01

already were excellent. They have a good

33:02

track record of it. So that I mean

33:04

there's many conflicting feelings that

33:06

they're spending quite a bit on

33:08

severance and if you took that money and

33:09

spent it on retraining you might have a

33:12

much better outcome that everyone feels

33:13

better about. So I think that's a really

33:14

good point. I will say that like if

33:16

they're replacing 1100 employees

33:18

globally with 1100 interns that's a

33:21

massive from a business side that's a

33:22

massive cost savings because the interns

33:24

way cheaper. So that part of it could be

33:26

that they're just like getting rid of

33:27

senior employees or like top you know

33:30

mid-level high level that cost a lot and

33:33

they're trying to save money on interns.

33:35

You're right basically one to one. That

33:37

is a

33:39

>> Yeah, that's an interesting uh

33:40

>> Yeah, that probably does change. So it

33:42

does sound like what they're saying is

33:43

they believe that a AI plus intern can

33:47

be the exact same as experienced person.

33:50

>> Yeah.

33:51

>> Without AI.

33:52

>> Yeah. Exactly. They seem they're making

33:54

a bet that they can undercut the cost of

33:56

experienced talent. Which is by the way

33:58

I hopefully not true. I think this is

34:00

like one of the big question marks in

34:01

the job market right now. Obviously a

34:03

lot of companies are trying it, but I

34:05

haven't seen concrete evidence that it's

34:06

working yet. It seems like a big

34:07

question mark. So maybe you're closer to

34:09

me. Yeah, I I got I got the perfect

34:11

tweet for you. You're going to love

34:13

this. Okay, this is Mitchell Mitchell

34:15

Hashimoto. If you don't know who he is,

34:16

he is the one that created uh Terraform

34:19

and Hashi Corp. Uh my favorite joke, of

34:22

course, is that he named his last name

34:23

after his company, Hashi Corp. Crazy. I

34:25

can't believe he did that. Uh really

34:27

committed. But he writes this somewhat

34:29

long tweet and it's it's very

34:31

impressive. He says, "I've got an agent

34:32

in a loop optimizing a renderer with the

34:34

go with the goal to minimize frame times

34:36

uh and test to measure. It got times

34:39

down from 88 milliseconds to 2

34:40

milliseconds. Meaning like you know in a

34:42

video game you present the video game

34:44

every 16 milliseconds, 8 milliseconds

34:46

depending on your refresh rate. He's

34:47

saying, "Hey, he had one that was at 88

34:49

milliseconds to go from compute the

34:52

world, put it onto the screen." And so

34:53

that's how fast it was going. So that

34:55

would be approximately 11 frames per

34:56

second, 12 frames per second down to 2

34:59

milliseconds. So now we're talking what?

35:01

500 frames a second.

35:02

>> So a lot faster.

35:02

>> So pretty fast.

35:03

>> A lot faster. And allocations went from

35:05

150k to 500. This sounds good, right?

35:08

Wrong. This is exactly why Asian

35:10

psychosis is a big [ __ ] problem. So

35:13

he talks about how he wrote this all in

35:15

go to kind of see how far he could take

35:17

something. He's already written a

35:18

terminal before. He's really really good

35:20

at it. Then he said, I kickstarted the

35:22

Ralph loop. Ralph is just something that

35:23

keeps on running until some goal is

35:25

effectively it's just a it's literally

35:27

just a while loop. While not done, try

35:29

again. Keep doing it. Right.

35:31

>> Yeah. To bring the frame times down. I

35:32

told it it can't modify input data

35:34

structures or public API or tests. Uh,

35:36

but it can do anything else it wants to

35:37

do. 4 hours later, around $350 spent.

35:40

This is the results. 88 to 1.5, $150 to

35:43

500. Incredible, right? No. My

35:45

handwritten renderer I ported has frame

35:47

times of 20 microsconds, zero

35:50

allocations in the update path. This is

35:52

the problem with psychosis and lacking

35:53

systems understanding. If you don't

35:55

understand the system, you're going to

35:56

accept this is an incredible result. If

35:58

you understand the system, you'll see

36:00

better solutions immediately and can do

36:01

roughly 75x better. People who blindly

36:04

trust agent output are in the former

36:06

camp. They're sheeple overdrinking from

36:08

a fountain of mediocrity.

36:10

>> It is about so and so when he says this,

36:12

it's just like that's the problem about

36:14

quote unquote 1100 interns is that they

36:17

don't have the experience to know what

36:18

is like what is

36:19

>> what could be better. What is the Okay,

36:21

I see.

36:21

>> Yes.

36:22

>> Yeah.

36:22

>> And so that's like the huge danger is

36:24

that this is kind of why I've I've said

36:25

that we are in the worst software ever.

36:27

we have the most software ever and the

36:28

worst software ever is because so many

36:30

people can now create stuff but they

36:33

don't have that like fundamental

36:34

understanding of no actually 2

36:36

milliseconds is bad. This is going to

36:37

slow the whole system down because it's

36:39

just taking so much of your time your

36:41

CPU whatever you're doing like it's just

36:43

going to be way more resource hungry.

36:45

You can't keep on having resource hungry

36:47

stuff. I would imagine if you compound

36:49

that across all the different features

36:51

and everyone doing this, you end up with

36:53

a pretty buggy or slow or inefficient

36:57

piece of total software. Yeah, that that

36:58

that makes sense to me.

37:00

>> Yeah. And so that's kind of like the

37:01

interesting idea is like can you can you

37:03

agentize experience? I don't know if you

37:06

can because somebody has to make the

37:08

call what right looks like. And so if

37:10

you don't even know what right looks

37:11

like, this would sound amazing, right?

37:13

Like if I were to tell this to anybody,

37:14

they'd go, "Oh, that's really good

37:16

results." That's like that's massively

37:19

faster, right? That's like 40 times

37:20

faster. And you're like, well, actually,

37:22

no, it's massively slower than what it

37:25

could be.

37:26

>> Yeah. It's an interesting thought

37:27

experiment. I mean, cuz

37:29

an intern before this couldn't do

37:32

anything close to that. I mean, this is

37:33

like this is it's an improvement in the

37:35

skill for the intern, right? But it's a

37:37

degrading of the skill of the expert.

37:39

So, it's interesting. I don't I I guess

37:42

>> I I I don't know how it shakes out. I I

37:44

I

37:45

>> here's the opposing viewpoint, which is

37:47

it was also 350 bucks in four hours of

37:50

work.

37:50

>> Yeah.

37:51

>> Which is the better trade-off.

37:52

>> Well, I wonder how long it took him as

37:54

an expert to do the to do his better

37:56

version with the 20 microsconds.

37:58

>> Yeah, actually that is actually an

37:59

interesting point. What would be faster?

38:01

That I don't that I don't know. I should

38:03

follow up on that one. But it's kind of

38:04

an interesting thought experiment, which

38:06

is okay, so this costs about the same as

38:08

an expert programming, but it only took

38:10

four hours. So maybe it's quote unquote

38:13

better because you get better results,

38:16

you don't get best results or you don't

38:18

get great results or maybe not even

38:19

considered good results with compound

38:21

like you know if you have a hundred

38:22

things doing this then it really sucks.

38:23

>> Yeah, it's tough. I again you're more

38:25

the expert on this than me. The people

38:26

that I've talked to that work in

38:28

programming say that for anything where

38:30

the best doesn't matter. It's been such

38:33

a game changer. Like if it's like an

38:34

internal tool or if it like it it's been

38:38

awesome, but everything else it it can

38:40

add a lot of uh problems or complexity

38:42

or security issues or or etc. etc. But

38:46

so, you know, I think Cloudfare is is

38:49

playing a a game. They they don't know

38:50

yet what the result will be, but they're

38:52

taking the risk. I think they're

38:53

incentivized by the market. I think a

38:55

lot of investors are pushing companies

38:57

to just take this risk before we know

38:59

what'll happen. And uh we'll have to

39:02

see. I I'm not enough of an expert on on

39:05

where AI currently is and who the best

39:07

people using it are to say, but it seems

39:09

to me like people are a little ahead of

39:10

their skis.

39:12

>> Yeah. I The reason why I wanted to bring

39:14

up these four companies and kind of walk

39:15

through this with you is a I wanted to

39:16

hear someone that thinks more on the

39:18

business side of things, but also it is

39:20

to highlight a there's a lot of

39:21

difficulties with a lot of the jobs, but

39:23

not everybody is bad on these things.

39:25

Like we can, you know, you could have

39:26

probably guessed Facebook would have

39:27

been bad. Yeah. you would have been

39:28

surprised at some of like the insane

39:31

optics of ClickUp or just the crazy

39:33

behavior of Web Flow. But also, I want

39:35

to try to give a a bit of props to

39:37

people who I think are at least

39:38

attempting to navigate this new world

39:40

the best they can.

39:41

>> Yeah. Again, all none of these companies

39:43

individually create a system they're in

39:45

and they are trying to navigate it. I

39:47

do.

39:49

At the end of the day, if a company is

39:51

doing what Cloudfire is doing and

39:52

offering a truly generous severance

39:54

package that sets someone up to find a

39:55

new job, then I'm like, I'm not going to

39:57

I have different targets to aim at than,

40:00

you know, I'm not going to spend my time

40:01

yelling at that CEO when there's a guy

40:03

making Tik Toks of him throwing ice in

40:05

someone's face. Like, you know, that's a

40:06

worse spot to be in. So, yeah, I think

40:09

that that was that's very interesting.

40:10

Thanks for sharing these uh these

40:11

examples. I didn't know them. We have to

40:13

talk about something other than layoffs

40:14

prime. Every time we we meet up, we're

40:15

talking about layoffs and

40:17

>> Okay. Find something that's less

40:19

depressing.

40:20

>> I'll find something less depressing and

40:21

we'll pull it in. But uh that was

40:23

interesting.

40:24

>> All right. Well, thank you for uh

40:25

joining us. What is uh where can people

40:27

find you?

40:27

>> Yeah, check me out at uh

40:28

YouTube.com/biga.

40:30

I do like daily uh news and financial

40:32

updates. I used to work at Nvidia and

40:34

Twitch and then uh went full-time on

40:36

this a few years back. It's fun to

40:38

cover.

40:38

>> Uh Twitters. Are you active on the

40:40

Twitters?

40:40

>> No, not really. My tweets are terrible.

40:44

Don't check me out on there.

40:45

>> That's okay.

40:45

>> Thanks for the YouTube.

40:46

>> Twitter's a refined taste. Okay.

40:49

>> All right, Brian. Thanks, bro. Good

40:51

talking to you.

Interactive Summary

This video features a discussion about recent corporate layoffs at companies like Facebook, ClickUp, Webflow, and Cloudflare. The host is joined by Big A to analyze these layoffs from a business perspective, comparing how different organizations communicate these decisions, their justifications—often citing AI—and the varying degrees of empathy shown through severance and management behavior. They explore the tension between corporate efficiency, the integration of AI tools, and the ethical responsibility of companies toward their employees.

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