Skip to content
The Boost Logo PNG transparent background
  • ABOUT
  • THE MARKETING BOOST
  • BEYOND GIVING
  • SOCIAL LEDGER REPORT
Linkedin Facebook X TikTok Instagram
The Boost Logo PNG transparent background

Episode 28: AI Bubble vs. Bitcoin Drop: Is the Market in Extreme Fear?

November 18, 2025November 18, 2025

Welcome to Episode 28 of the Social Ledger Report! Join J.R. and Leon Hitchens for a sharp dive into the markets, the AI hype cycle, and major financial news.

Hosts:Ā 

Jesus Burgoa (JR), Founder & CEO of Social Market

LinkedIn: https://www.linkedin.com/in/jesus-rafael-burgoa-b34874170/  

X: https://x.com/jesusrburgoa

Website: https://jrburgoa.com/

Co-Host: 

Leon Hitchens, CMO of Social Market

LinkedIn:  https://www.linkedin.com/in/leonhitchens/

X: https://x.com/Leonhitchens

Website: https://www.leonhitchens.com/

Find Us: 

Spotify: https://open.spotify.com/show/3cfUVNwIm2AXt2oZ0nx2Dv

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-social-ledger/id1803475184

YouTube: https://www.youtube.com/@TheBoostChannel 

YouTube:

Podcast:

Hosts: 

Jesus Burgoa (JR), Founder & CEO of Social Market

LinkedIn: https://www.linkedin.com/in/jesus-rafael-burgoa-b34874170/  

X: https://x.com/jesusrburgoa

Website: https://jrburgoa.com/

Co-Host: 

Leon Hitchens, CMO of Social Market

LinkedIn:  https://www.linkedin.com/in/leonhitchens/

X: https://x.com/Leonhitchens

Website: https://www.leonhitchens.com/

Find Us: 

Spotify: https://open.spotify.com/show/3cfUVNwIm2AXt2oZ0nx2Dv

Apple Podcasts: https://podcasts.apple.com/us/podcast/the-social-ledger/id1803475184

YouTube:Ā https://www.youtube.com/@TheBoostChannelĀ 

Key Market & Tech Takeaways

  • Bitcoin & Market Fear: Market sentiment is currently “Extreme Fear.” Bitcoin has fallen below the $100,000 mark, trading in the $93,941-$95,900 range. The hosts suggest Dollar-Cost Averaging (DCA), noting a potential floor at $\$84,000$. Historically, BTC has soared up to 700% after past government shutdowns ended.
  • MicroStrategy: The company remains a massive holder with over 640,000 BTC (3% of the total supply). Despite market dips, its stock (MSTR) is up 26.1% Year-to-Date.
  • The AI Bubble: The industry is described as an “inbreeding market” due to intense cross-investment among giants like Nvidia and OpenAI. A recent MIT Report indicates that 95% of Generative AI projects fail to deliver ROI. Nvidia is the biggest winner, providing the essential chips.
  • AI Model Race: Google’s Gemini is gaining favor over OpenAI, primarily because of its superior ability to render JavaScript fully, allowing it to crawl the modern web more accurately.
  • Hype vs. Value: The hosts stress that value, not novelty, wins; consumers are only engaged when AI delivers real outcomes, like automation and friction removal.
  • Sam Altman Bailout: His request for government debt relief for OpenAI was heavily criticized as “corporate socialism.” The hosts argue that taxpayers must receive significant equity in return for any bailout.
  • NFT Bubble Burst: The hosts note the tragic decline of the NFT market, with collections like Invisible Friends and Bored Apes seeing values plummet from millions to a mere fraction of their peak.

Resources:

1. Market Overview

  • Credited sources: https://t.co/fZ5CiynmXP (from post [post:10])

2. Bitcoin $95K

  • Credited sources: https://cryptoslate.com/bitcoin-tests-the-95k-hodl-wall-after-cascade-knocks-out-655m-from-bulls/ (from posts [post:21] and [post:22])

3. Strategy Bitcoin position

  • Credited sources: None directly external.

4. Government Shutdown

  • Credited sources: https://bitrss.com/u-s-government-shutdown-impact-on-crypto-liquidity-analyzed-146992 (from post [post:1])Ā 
  • https://cointelegraph.com/news/house-reps-vote-end-government-shutdown (from post [post:8])

5. Crypto bubble + AI bubble

  • Credited sources: None directly external beyond post contexts.

6. Sam Altman asking the gov for bailout

More shares of the bailout video discussion. 

  • Credited sources: https://www.youtube.com/watch?v=beDspJEBa1Y (multiple posts linking to Jimmy Dore video)Ā 
  • https://rumble.com/v71jbue-openais-sam-altman-already-looking-for-a-government-bailout.html (from post [post:44])

Connect with Social Market

  • Like and subscribe to follow future episodes!
  • Let us know what you think in the comments below.

See you next week for Episode 29!

0:00

Hey everyone, welcome to Social Ledger Report. This is J.R., founder and CEO of

0:04

Social Market. And my name is Leon Hitchens. I’m the

0:08

chief, we’ll get that one right one day. The chief marketing officer here at

0:12

Social Market. Yeah. And this is Social Ed Report, uh,

0:16

episode 28. So, welcome to another episode. We actually have quite a few

0:20

things to talk about. I know we’ve gotten some feedback from the last few

0:23

episodes. So, first of all, thank you all for, uh, it’s more positive. So,

0:27

thank you all for watching. Thank you all for sticking with us this week.

0:31

We’re actually going to talk a little bit more about the market sentiment.

0:34

Like the AI bubble is possibly bursting. The government shutdown actually opened

0:39

again. So, we’re going to talk about some more development stories on that.

0:44

And then Bitcoin actually fell down 100,000. So, that’s kind of interesting.

0:50

959 right now. 959. Wow. Yeah. So, 9,000 95,900. Um,

0:57

and then Sam Otman is possibly asking the government for a Bella, which I have

1:01

mixed feelings on. In principle, I don’t agree with it, but we’ll talk more about

1:06

that here in a moment. But before we continue, uh, just to stop you there,

1:11

make sure to like the video if you like it, subscribe if you want to follow

1:14

these kind of episodes, these kind of, uh, content that we’re delivering for

1:18

you, dislike if you dislike it, just let us know what you think overall. But with

1:22

that being said, um we’ve actually been doing some development on the app. A lot

1:27

of development I should say. And we’ve talked to some customers that have

1:31

expressed like, “Hey, this is like GTA 6, you know, it’s taking so goddamn long

1:35

to release this. Like, what’s happening?” And I’m like, “Dude, we’re

1:37

literally rehauling, overhauling the entire thing.” Anyway, so uh this is me

1:43

going through the app right now. So, I’m going to log in, which if you’ve seen

1:46

past episodes, you would see that you could just kind of access the app and be

1:52

thrown into the market section. But now you’re thrown into the wallet section.

1:56

And this is one of my personal wallets, by the way. So, um, just don’t take my

1:59

money. So, if we go into the market Oh, you got some world coin in there. I

2:04

love that. I do. I have a lot more. This is kind of

2:07

like me playing with it. Uh, my personal account.

2:11

Okay, so let me be clear. This is my developer personal account, which is

2:15

separate from my main personal account, which is where I have like I have at

2:19

least 200 World Coin, but um that’s just me putting my money there. Man, we

2:24

should probably for future reference talk about like this is where we’re

2:27

putting our money. Like I have 200 World Coin. I can I wouldn’t mind showing you

2:32

guys what my personal bags are. And I don’t know if you would feel the same,

2:35

Leon, but just to show you all like this is our investment strategy. It’s not the

2:40

most extravagant. It’s not like Wall Street level, but this is how we make

2:44

money and maybe you can like learn a thing or two.

2:47

So, I’m down. But honestly, most of mine’s

2:51

pretty pretty basic. So, down to show it.

2:56

So, side note, tomorrow in as of recording this video, November 17th,

3:01

Monad is releasing its layer 1 Ethereum based. Well, it’s layer 1, but it’s kind

3:07

of interesting. Most layer twos are Ethereum based, but this is supposed to

3:10

be Ethereum based as another layer 1, which is really interesting. So, I’m

3:15

actually putting a lot of money there and um you guys should check it out. Uh

3:18

not investment advice, right? So, you go into the markets page and this is where

3:23

you can kind of see everything. I’m running this as a local instance right

3:26

now. So, this is not available yet. It will be available tomorrow, November

3:30

17th. Anyways, so this is the market overview here. And yeah, dude. Temp

3:36

extreme fear right now. I wonder why. And it’s still Bitcoin season.

3:42

Inflation’s at three. Yeah, like

3:45

it it ties all to this government shutdown. So liquidity is what’s exiting

3:49

the market right now. Um I’ve got somewhat of a highle overview of this.

3:54

I’m, you know, not an economist. I I I did do some shorts on Bitcoin when the

4:01

government shut down. Really? Um, yes, not a ton. Um, just a

4:05

little bit playing with it. I it paid off. Um, I’m doing some some um calls

4:12

right now. I think, you know, essentially I think Bitcoin and all this

4:15

is going to go up. However, market sentiment matters more than what’s

4:20

actually happening and and that fear and greed index super important like

4:25

essentially and this is my understanding on it Jr. is um we had like essentially

4:33

potential growth. Government shut down so stuff wasn’t getting approved, things

4:37

weren’t moving forward. And then oftent times when government shut down all

4:41

that, people go to safe assets. Gold is an example of that. Um

4:48

you also have like TGA trains. You’ve got, you know, rate cuts coming. There’s

4:54

ETF approvals all all in the the push, but everybody kind of hit that under

5:01

100K and that fear is what what drives it. If the market sentiment is that

5:07

things are not going well, then things are just not going to go well. That’s

5:11

generally how it how it works in the end. And the other part that I think is

5:17

playing a big part of it is perpetual, you know, per like the ability to bet on

5:23

one side of the market. The more pressure you have on shorts, the more

5:27

that, you know, this this market’s going to go go down. I don’t think that people

5:32

are going to keep shorting this. Like you could short it, you know, maybe it

5:36

hits 90,000. Um, but like you’re only going to make a few extra thousand

5:41

unless you’re leveraging really high. And if you’re leveraging really high and

5:45

and you’re going like that, you you have to know something’s happening and I

5:49

don’t know if something’s happening. Uh it’s like, you know, right there,

5:52

Microsoft strategy, you know, they’re still buying Bitcoin

5:55

strategy. Yeah. So,

5:58

let’s talk about strategy actually. Where where does that feed from?

6:02

Where does that feed from that is still called Micro Strategy?

6:06

Uh Trading View. Uh a [ __ ] Well, I can click on it, I

6:12

think, but I’m just curious if um

6:15

Damn it. So, it broke on me here on live. That’s kind of

6:18

because you’re on local. I am on local actually, so that’s why.

6:22

But um it’s pulling all that data from Trading View, which is publicly

6:26

available. Anyone can use it. But I just wonder if they haven’t changed

6:29

their name on there or what what’s the

6:32

Yeah, why they have the new logo. Look, here it

6:35

is. So, Micro Strategy right below $200 their stock. But yeah, I mean it’s it

6:41

doesn’t work on my local. It should work on actual production app.

6:45

So, I just looked it up. I wonder if it’s because the ticker is still MSTR

6:50

and that’s a good point, dude. Wow. That’s the reason I was just more than

6:55

anything curious um out there. Yeah. Yeah, that’s a good point. Um

7:00

wait, so I’m a little conflicted. Damn, I’m seeing all the discrepancies

7:06

here in the app now that I’m developing it and I’m kind of embarrassed, but

7:09

screw it. We’re going to roll with it. So, um, Bitcoin

7:14

and Micro Strategy, they kind of overlap, right? So, let’s talk about

7:16

Bitcoin. It’s according to this 93,941. How bad how here’s my question, Leon.

7:24

How bad are your bags impacted? Are you like

7:27

most of my stuff is in the core ones? my I’m mainly in Bitcoin, Ethereum,

7:33

and um a little bit in Salana, you know, just cuz I I cashed out of Litecoin

7:38

thinking Litecoin was going to, you know, do something at some point. But

7:43

this is this is very interesting, dude. Market activity shows a lot of

7:49

[ __ ] are selling. Some are buying. Some are buying like a

7:54

large amount, like $1,410 like not that long ago. This only pulls

8:00

most recent data. A lot of them are buying in I mean it’s kind of a mixed

8:05

thing. I would just buy, dude. This is probably

8:09

like I don’t want people to think I’m telling you what to do when it comes to

8:13

this stuff, but like I’m I’m going to be buying Bitcoin

8:17

recently just because I mean anything below 100,000 I think

8:22

it’s it’s affordable. Even Michael Sailor himself says buy Bitcoin. But I

8:27

don’t want to be that guy. I don’t want to be known as that guy. I want to be

8:29

known as the guy who is like transparent.

8:32

Yeah. I think so. What all the analysts are saying right now is it’s going to

8:36

hit probably a bottom of 84K. Um

8:39

Okay. I think in the long haul what most

8:42

people should be doing like don’t go [ __ ] mortgage your take a second

8:46

mortgage on your house and dump you know money into it. But right

8:49

take some cost averaging. Right now is a prime opportunity. You got an extra 5k

8:53

that you were like I was going to invest. Buy some Bitcoin. Like I think

8:57

on the long term Bitcoin is gonna do really well. I don’t know if it’s going

9:02

to be a million dollars. I still like I still don’t know if I believe

9:07

that. I also don’t know if I believed 100K back in the day. Like I I think I

9:12

was a little skeptical on all this. But I think on on the part of it, it’s going

9:18

to keep growing. It’s it’s only going to get more rare. it’s only going to get

9:21

harder to compute um without you know some government intervention like I

9:27

think this is going to go go up um you know they’re talking right now about

9:32

zero tax on crypto companies like there’s so many things that could push

9:36

for this I think just you know you’ve got a market sentiment and a selloff

9:40

that’s happening at some point Micro Strategy Strategy is

9:43

going to have to liquidate their crypto too like I don’t know what their bottom

9:47

or their their mark price is I think they bought on March margin and equity.

9:51

And if that equity, you know, if it’s equity, I bet you that they probably

9:55

have to be at like 30 40,000 a coin to to have to liquidate. So, they might be

10:01

safe. But man, some of these other ones out there, I wonder if companies bought

10:05

on margins or bought on loans and like essentially if you lend out on Bitcoin

10:10

at some point like all these loans on Coinbase are going to be margin called

10:14

and you’re going have to you won’t have enough to pay the interest. you’re going

10:17

to have to liquidate and that could be a bigger problem for the market.

10:21

Yeah. So, we were going to talk about Micro

10:25

Strategy here in a moment, but I think it was good to kind of set the the

10:29

precedent with Bitcoin in mind because we all I don’t know if everyone knows

10:34

like you, the audience, but strategy by Michael Sailor is really just aping

10:40

Bitcoin. It’s kind of like some crypto bros on Twitter saying like, “Hey dude,

10:44

let’s just buy this crypto and then make it a whole entire business.” I don’t

10:48

know what strategy was or micro strategy was before Bitcoin, right? I don’t have

10:53

that familiarity and and a lot of people might not know either just because they

10:57

came to the front of the stage by saying, “Hey, yeah, we’re buying

11:00

Bitcoin. That’s our entire strategy.” Um, but I asked Grock like what’s the

11:06

whole thing happening right now with Micro Strategy Strategy’s position now

11:10

that it fell down 100,000 because as you may already know Strategy and a lot of

11:14

crypto companies bought Bitcoin when it was on the top. So it’s down not

11:19

massively but it’s still down and the fears according to the index of fear and

11:24

greed if you look here in the markets it’s possibly going to go down even

11:29

further you know just because people are going to continue to sell. So I asked

11:33

Grock about it and it says Micro Strategy’s aggressive Bitcoin

11:37

accumulation was a hot topic which again we already said that with updates on

11:40

purchases holding reachings about or its holdings reaching over 640,000 bitcoins

11:48

3% of the entire goddamn supply and strategies like preferred stock issuance

11:53

for funding postclarified not selling despite wallet moves with yields at 26.1

11:59

year to date and potentially for more buys. So, I mean, it makes sense. They

12:06

haven’t taken a a huge loss, it seems, because they’ve been buying Bitcoin for

12:09

a a while now. Even year to date, it’s up at 26%. Yeah. So, strategy Bitcoin

12:16

position, it’s kind of interesting. Um, I don’t know what else to talk about

12:20

that. I don’t know if you have any other thoughts on that.

12:23

No, I more than anything, I’m worried where Bitcoin goes. Like this could be a

12:27

pivotable moment for what the United States is doing for crypto. Like maybe

12:33

Bitcoin doesn’t become like the great the greatest. But also like this could

12:37

just be a price correction. Like maybe Bitcoin never was meant to be at that

12:42

price, you know, like this could be a market correction on where the sentiment

12:46

is right now. Like maybe we hover around 90 to 100K for for you know a few years

12:52

just like what Bitcoin did in the past. It went

12:55

all the way to what 50 60 grand back in the day and then dropped down to 20 and

13:00

stood at 20 forever. You know, like right

13:03

we could see something like that happening right now. Maybe 100K wasn’t

13:06

wasn’t where the price needed to hold and you know we could have a a sliding

13:12

scale, you know, over the next couple of years and then all of a sudden it goes

13:15

to 200K. Um I think that’s more possible than Bitcoin going low and staying low

13:21

for forever. um money is getting pushed into it. I think liquidity after it hits

13:27

with the government shutdown, it’s going to take a little bit of time, but there

13:30

is a chart on X and I did I send that to you?

13:33

Okay. I don’t think so. Um

13:36

no, I didn’t get it. You may want to pull it out for us.

13:39

Find it. So, this is what I what I what I saw out there is the last two times

13:43

the government shutdown ended, Bitcoin ripped 700 and 300%.

13:47

This is a possibility that could happen. Like history repeats itself often. Um,

13:53

we’re right right here, you know, every time liquidity exit the market. And hey,

13:58

man, if we get STEMI checks, like most people below $100,000 could get a a

14:04

stimulus check. Um, I don’t I don’t know if if I’ll qualify in there. Like I hope

14:10

that there’s a higher limit for married married uh couples. Um, but if I get a

14:14

Steammy check, it’s going straight into crypto again. Like I could also see that

14:18

happen with a ton of people. So if if the government, you know, the government

14:22

gets back to the normaly, doesn’t invade Venezuela or, you know, start some other

14:28

crazy thing happens in the world, um, I could see Bitcoin flying. Um, I could

14:33

also just see Micro Strategy using this as an opportunity and buying a [ __ ] ton

14:38

more crypto and knowing something that none of us know. Um, but it’s kind of

14:42

yet to be seen. like this this crash is happening over the weekend. So, it it’s

14:48

an interesting part, but I I believe this chart

14:51

is a history repeats itself moment. You know, in some instances, I think the

14:59

and this is the tricky part. Crypto markets are open every day of the week

15:04

and stock markets are only open uh during the week. So, what I’ve noticed

15:10

is sometimes um just ETFs, indexes, they’ll usually perform almost in

15:17

parallel to how crypto performs. Usually, Bitcoin.

15:22

Um I have this position. I’m following inverse Kramer index. I’m using

15:26

Autopoly, by the way. Not an endorsement. I wish just because I

15:29

really find the product pretty cool. Um it’s down like 10%. Uh or excuse me,

15:34

it’s down $10, which is like a very small amount. It’s like about 1 2%. But

15:39

you know, it’s it’s not doing too well. You know,

15:44

I thought it would have been doing better. But,

15:47

um, man, fear right now is every isn’t is in everyone’s mind. I think it’s

15:52

really interesting how massive this government shutdown was. Not just for I

15:56

mean, obviously, it’s very detrimental for the workers, and this is where I

15:59

feel really bad for it. I know people who actually work in the airports. one I

16:04

don’t know what the name of the position is but um you know uh one of my my

16:09

fiance’s co-workers uh has a husband who controls air traffic I’m not sure the

16:14

name of the position and his job was impacted because the government shut

16:17

down I think so

16:18

okay yeah okay so thank you so man he wasn’t getting paid for like 43 days or

16:24

something so I think that’s how long the government shutdown was 43 days

16:27

yeah it’s the long longest in history beat Trump’s other one like

16:31

you know in some ways the Democrats That’s,

16:35

you know, they might have been winning politically in some views. Uh, but, you

16:39

know, in inevitably they they lost and caved and didn’t get what they wanted

16:43

and like they were hurting real dude.

16:46

Yeah. They were hurting real people to have no no win. I think you know that

16:52

in my view they’ve lost the plot. Um, they did

16:56

and and I think that impact’s huge. It’s not just about you know there like

17:00

there’s a ton of people that work for the federal government. It’s the largest

17:03

employer in the United States. There was so many people not getting paid. The US

17:08

military wasn’t getting paid. Some police, you know, the federal government

17:11

police weren’t weren’t getting paid. Like there there’s just I I think we’re

17:17

going to see this market rebound and sentiment go into good into a better

17:20

spot. I want you know Disney just stopped fighting with YouTube. Like

17:25

there’s so many little parts here that on the macro and micro level uh YouTube

17:31

uh and Disney weren’t weren’t you couldn’t view Disney on YouTube TV.

17:36

Oh, I didn’t know that. Dude, first of all, [ __ ] this.

17:38

Is that a rock? I’ve been on top of you.

17:42

Oh, kind of. Yeah, it’s it’s pretty massive

17:45

right now. It’s not the only massive thing. I’ll tell you that much.

17:49

that that Bitcoin turbulence, you know, there there’s a bunch of outflows, alt

17:53

rallies, you know, we’ve got tariffs, like there’s just so many things

17:57

happening that it it in some ways we could be a little

18:02

bit in the bubble hype. Like, you know, I know we wanted to talk about AI

18:06

bubbles here, like there’s a Wall Street skepticism of crypto in some ways.

18:12

They’re now adopting it. like this is the first time that they’re going to

18:15

revolutionize the financial system, but it took crypto better part of 10 years

18:19

to get here, you know, like it really did.

18:23

It it’s been a long driver there. Trump inevitably was the one who made that

18:27

change and what a character to bring that level of change. And the only

18:31

reason is because they all got debanked, you know, like they they were we can’t

18:36

have that anymore. Um, so it’s it’s no different than this AI bubble that we’re

18:40

kind of seeing. like we’re seeing a lot of overhyped AI companies and funds

18:46

shift, you know, shift around and and talk about it. Like I don’t know you

18:50

want to start talking about this AI bubble like it is a style bubble in some

18:55

ways. There’s this chart that I shared with

18:57

you that I um it famously became popular on Twitter.

19:01

At least that’s where I think the original

19:04

uh post came from. Now, let me see if I can pull it out real quick. Well,

19:09

couldn’t find it on Twitter, but I found it on Instagram. Some of you, the

19:13

viewer, might be able to, if you’re watching this on YouTube, this is kind

19:16

of how it looks like. But if you’re watching this on audio, let me just

19:18

explain a little bit. So, here’s how the eye bubble has been created. You have

19:22

literally circles, like big circles that have like all these different arrows

19:27

pointing to another company. As far as the involvement, there’s different

19:32

colored, you know, arrows here. Like there’s one for hardware or software,

19:36

there’s one for investment, there’s one for services, and another one for

19:39

venture capital or like investments. And those are just like different

19:42

associations within every bubble or every company that is represented in the

19:46

bubble. So, Nvidia and you know, this is probably the biggest winner here because

19:52

it built the shovels. Um, I saw somewhere, and this is a side note, I

19:57

saw somewhere that I think it was a YouTube video.

20:01

While Nvidia is probably profiting the most, it’s the most profitable company

20:05

right now in the world. It’s about 5 trillion. It says here 4.5 trillion, but

20:09

I think this is a bit outdated. $5 trillion. It’s how much it’s worth. They

20:14

actually put in a lot of money according to this chart. They put investment

20:18

capital on XAI, on Figure AI, Mistral. Um and then they also gave uh kind of

20:26

like a the most involvement here is hardware or software with open AI with

20:32

Microsoft with um well no a lot of them are just using

20:38

Nvidia as a software as software and hardware you know like the chips

20:42

everything but Nvidia gives out an investment to smaller companies like in

20:49

well Intel is not a small one but it gives it to Intel it gives it to NScale,

20:53

OpenAI, and there’s that famous thing that happened where Nvidia proposed to

20:59

give OpenAI a billion dollars in investment or something to that level.

21:03

And then OpenAI came around and gave that money to AMD and then that money

21:07

came back to Nvidia because they were buying chips. It’s a cluster [ __ ] It’s

21:11

an inbreeding market, as I like to call it. You know, these guys are just

21:16

sharing the same fluids, sharing the same money. It’s kind of weird, man. But

21:21

yeah, it happens sometimes like you know obviously if if your largest buyer is a

21:26

you know uh somebody that you work with often like investments should flow back

21:31

and forth to you know make it make sense but this seems like just a little bit

21:35

too much like yep

21:38

what happen if open AI fails and there’s a there’s a strong possibility that

21:43

they’re not the ones that are going to win like anthropic is crushing it Gemini

21:47

right now polymarket I don’t know if you want to pull Poly market. Go look at the

21:50

best AI right now. I bet you it’s Gemini or Enthropic.

21:54

Um Oh, maybe Grock shows up in the list,

21:57

but which company has the best AI model end

22:00

of year? Dude, I was looking at I was looking for

22:04

this market like earlier this earlier this week and I couldn’t find it. Is it

22:08

like just new? Uh you know, I don’t I don’t know. Um

22:13

let’s see which company has the second second best. Okay. So you got go back.

22:19

Go back one. What do you mean like back?

22:23

Go back a window. Yeah. Hit the first one. U or largest company. No, no.

22:27

Largest company. Can you search AI one more time? Oh, no. That’s the the one

22:32

down there. It’s the which company has best AI model in of 2025. I want that

22:35

one. The fourth one down. Got it. Yeah. So it’s this one.

22:39

Yeah. See, like right now Google’s winning. Gemini has gotten actually very

22:43

good. And and one of the reasons I actually believe Gemini’s gotten really

22:47

good is because they they render JavaScript.

22:49

Uh what do you mean? So when their crawlers are going to the

22:53

web, some of these other crawlers like OpenAI will not render JavaScript from

22:57

my understanding. But Google, can you explain to me in Crayon eating

23:01

terms just for the viewers, they render the code fully. So most of

23:05

the websites are built in what’s called JavaScript. They’re like React. It’s the

23:09

code back end. Most of that code does not render the text normally. It doesn’t

23:14

show the text to the crawler in the code.

23:17

Google and Anthropic, I believe, both render the the actual code of

23:22

JavaScript. So, they’re able to see the website like a human can see it. That’s

23:26

the best way to compare it. And I think that’s why they’re winning. One of the

23:31

studies that recently came out was OpenAI’s data when it was crawled from

23:36

the internet hallucinations like got cut like by 80 90%.

23:42

Jeez. But the training data was what what it

23:45

was a research thing. The training data out there that was fed into like chat PD

23:50

was actually what was causing it to hallucinate. But real life data

23:54

helped it not hallucinate. So, I I think there’s there’s a real possibility that

24:00

like Open AI could just go belly up at some point if their model just is not as

24:06

good. And man, Google’s crushing it. Anthropic’s crushing it in in some way

24:11

XAI is really doing good. I think in a different kind of sphere of what Google

24:16

and Anthropic are trying to do. Um, I think they’re much better for current

24:19

events and, you know, all of that. But Gemini has access to all of Google’s

24:24

first party data and that data is valuable. They can read every email that

24:29

you do. They can, you know, see where you search like that. That that’s

24:33

something that that OpenAI is starting to get where you

24:37

you connect all your connectors and it’s feeding that data, but I don’t know if

24:40

it’s training off that data. You know what’s interesting? Um,

24:45

Birkshshire Hathaway, what’s his name? Um,

24:48

Warren Buffett guy. Thank you. Warren Buffett himself.

24:52

What’s that? You just called him rich guy. I love

24:55

that. Yeah, dude. I mean, uh,

24:57

as soon as you said it, rich guy. I was like, “Oh, Warren Buffett.” That or or

25:01

Jeff Bezos or the trillionaire Elon Musk. There’s only a few of them.

25:05

There you go. Pretty much. So, this [ __ ] guy, dude,

25:10

Warren Buffett, he actually sold his stocks on Apple to buy Google. Well, not

25:16

for that specific reason, but I think he sold Apple not that long ago, but he

25:21

instead is betting on Google. That’s kind of crazy. Is Google undervalued?

25:25

I I you know, in some ways, I think they could be everybody. Can you look up

25:29

their stock price right now for me? Um, since you’re you’re driving, sorry.

25:33

Um, yes.

25:35

I think there was a fear for a second when chat GPT came out.

25:39

Um, can you do it like six months or year to date? Year to date?

25:45

Yeah, they’re up still up 40 [ __ ] five

25:48

though%. Yeah, but there was a second for

25:52

everybody that Google’s cooked. They’re they’re over chat GPT is going to crush

25:57

them. And I don’t think that’s the case. I think everybody is not going to chat

26:02

GPT. I use chat GPT daytoday. I actually mapped it as a as the little action

26:07

button. My action button now does um chat GPT. But I think what most people

26:13

are doing is using AI mode in Google. They’re doing the AI overviews. They’re

26:18

reading that. They’re that’s their interaction with it because behavior is

26:23

that totally go for it. Um, so I know what you’re asking.

26:28

I know what you’re saying. Well, I was just using that myself. I asked Google

26:35

MIT Well, I don’t I didn’t ask it, but I looked up MIT report on AI investing

26:39

because I wanted to talk a little bit more about the bubble. And this is me

26:42

using Google AI overview initially. Yeah, because it gives you the best of

26:48

both worlds. I think where chat GPT fails is it doesn’t give you all the

26:53

links. You have to like kind of press a little thing. Half the time it isn’t in

26:57

the right one. Google’s like, “Oh, no, no, no. We’re still surfacing your

27:02

information.” And again, it’s crawling the web and looking at websites like you

27:06

and I would look at it versus I believe chatbt is not doing that my

27:11

understanding of it. So the the the amount of data and the amount of

27:15

websites that are built in JavaScript and React

27:18

are are a majority of sites these days like you know like they’re all out there

27:23

or they interact with it somehow. The data that they’re probably getting by

27:26

seeing it as a human versus seeing it as like a crawler is is massive.

27:33

Yeah. So AI uh and what was it? OpenAI, they got in trouble with Reddit because

27:40

they were crawling all of their data and you know Reddit is trying to sue them.

27:44

Google doesn’t have to [ __ ] do that. It literally and this is the monopoly

27:47

part. They’re never going to admit it. But they control almost all the data.

27:52

They can access it at will if they need it, right? And this is where they train

27:55

their models. And that’s amazing. I guess that’s why I mean it was Bard the

27:59

first iteration of Gemini which Bard sucked like every other product that

28:04

first [ __ ] name also I kind of like it that’s just the AI

28:10

what’s the um the DND part of me cuz Bard is like a class where you’re kind

28:14

of like so so that’s the only reason why I’m

28:16

like I think it was a cool name but to a normal consumer it’ be like what the

28:21

[ __ ] does that mean what is this which I was also funny enough agreeing with you

28:25

there initially But now it’s Gemini and it’s a it’s a

28:30

nice name. It kind of conflicts with me when I look at Gemini on Google and I’m

28:34

trying to get into the Gemini exchange on crypto. It pulls up Google Gemini

28:39

first and then Gemini Trust. But uh to your point, yeah, it’s it’s gone a long

28:45

way, dude. Uh Gemini is very likely going to be the best model

28:51

for a little bit of for quite some time. And here’s the thing, foundational

28:55

models are extremely hard to make because they require a lot of data. They

28:58

require a lot of iteration, a lot of training, a lot of capital. You need a

29:03

lot of infrastructure for that to train the model. It’s incredibly hard. These

29:07

companies can do it. They have almost the entire money that a an AI startup

29:13

would would need. But talking about AI startups, um I wanted to just read this

29:18

report and kind of just close this off with the AI bubble thing. So this is

29:22

from MIT which some of you may have already seen. I’m not going to read it

29:25

all. It I’m going to read the first paragraph which says a recent MIT report

29:29

fund excuse me found that 95% of companies failed to achieve a return on

29:35

their investment in generative AI with only 5% of initiatives reaching

29:40

production deployment with sustained value. The primary reason for this

29:43

include a lack of clear use case, failure to customize solutions for

29:48

specific business problems, and a preference for internal development over

29:53

external partnerships. Companies that partner with AI vendors or focus on

29:58

narrow well-defined uses use cases like customer support or coding assistance

30:02

are more likely to to see success. And this is kind of like what you and I were

30:06

talking before this call. we were kind of so first of all we’re raising for

30:09

start for for social market and we’ve kind of run into this problem where

30:13

we’re a foremost a crypto company and also a um security company now I mean

30:19

we’ve kind of pivoted quite a bit more than a lot more than we’d like to admit

30:23

this year um and it’s all just based on the markets right we’re pretty flexible

30:27

but also we use AI VCs some angels that we’ve talked to

30:34

they want to see AI in a more specific kind of way. Uh I don’t want to mention

30:40

any names, but we’ve talked to some people who’ve raced who who have raced

30:44

successfully and their use cases are very explicit. AI for real estate, AI

30:50

for notetaking, AI for um prod productivity, you know, if you have the

30:56

name AI on it and you can actually demo the app, which it should be easier now

30:59

that you can vibe code it, um you’re pretty much ahead. And I know I know

31:04

Leon you talked to uh one person who was able to race far easier with talking

31:10

about cryp talking about AI than when they were racing for crypto just a few

31:13

years ago. Oh yeah. It it’s shift like and this is

31:17

why I think in some ways there is a bubble there was a bubble a

31:20

little bit for crypto. NFTTS were never going to take off. Like I think that

31:25

they’re now granded and there’s there’s more use cases for them now. Um just

31:29

like everything’s moving onchain. If you buy a house, you’re going to get an NFT

31:32

that assigns to you. Just like if you have a car, you get a title. That’s an

31:36

NFT. I think there’s some novel uses for that. But AI right now, it’s like you

31:42

you join a a meeting and you’ve got seven [ __ ] um AI notetakers, you

31:47

know? Like this is not sustainable. Like it it’s just not. And there’s market

31:53

corrections. The dot bubble was a totally different thing where there was

31:58

just not companies that existed afterwards. You know, pets.com was a

32:01

prime example and I think that the peak of it,

32:04

but I think this is the same thing. Every single company has added AI. Every

32:08

single company has pivoted. Air Table’s a prime example. They’re like an AI

32:12

company now. And I’m just like, wait, what? Like how? Like they’re building AI

32:16

apps. I think, you know, the biggest win for anybody out there is like Zapier.

32:21

They they were like, you know, kind of the infrastructure for automation and

32:25

now they’re and like we utilize them. If you want anything to work with any

32:30

anything on the internet, you need an MCP server. And Zapier has one of the

32:34

best out there. N8N has popped up that’s, you know, pretty good. Um, you

32:39

know, makes out there, but I think there’s a lot of companies that are just

32:42

building overlays. They say that their stuff’s a gentic, but it’s not a gentic.

32:46

It’s just a chat, you know, overlay. Um, there’s some stuff that’s getting really

32:50

good, but I saw like, you know, many people on Twitter say, “Hey, if you’re

32:55

doing an AI company, you should like innovate on it.” So, if you’re a lawyer

33:00

and your whole company is just run by agents, that’s what people want to

33:03

invest in because it’s just like an AI like a lawyer company. I’m thinking

33:08

think Legal Zoom, but with just all AI. That’s a huge thing. Um, but I don’t

33:14

think that’s going to be the the solve for everything. You’re not going to have

33:16

one employee and like a thousand agents. You’re probably instead of having 10,000

33:22

employees, you’re probably going to have a thousand employees, you know, doing

33:26

doing a lot lot more. Um, what does that mean for people and, you know, jobs and

33:31

percentages like tech just laid off a ton. I think the the economy is trying

33:35

to wrestle with all of that just like the economy wrestled with um what what’s

33:40

happening in 2000 with internet. It was changing everybody’s lives. I just think

33:45

there’s a lot of wrestling with what is happening.

33:49

I think unemployment is closer to two. It’s definitely above 10%. Which is

33:54

insane. We are in stackflation as they call it. Inflation is high.

33:58

Um GDP growth is negative. Unemployment is high. That is

34:02

stackflation. And it sucks. We’re going to feel the effects

34:06

probably next year, dude. I mean, once this bubble pops, it’s going to be

34:10

catastrophic. Um but final note on the whole AI crypto bubble well different

34:16

respective bubbles right so we mostly talk about AI bubble but let me kind of

34:21

just paint the picture a little bit better on how big the crypto bubble was

34:25

which a lot of people don’t really acknowledge because they don’t really

34:28

know much. So four years ago this NFT was worth almost 500 ETH and today it’s

34:35

worth less than 0.1. Yeah.

34:39

And it sucks. I actually like this NFD collection. It’s um Invincible Friends.

34:43

Invisible Friends. Oh, Invisible Friends, not Doodles.

34:46

Yeah, Invisible Friends. I love it. I think it’s great design and everything,

34:50

but just like um Crypto Apes or what the the

34:55

one that’s busted invisible friends. Yeah. So, this is the collection. Are

35:00

you talking about like board apes? Like the monkeys

35:03

board apes? Yeah. Yeah. There you go. Yeah, dude. Man, it’s it’s kind of

35:09

tragic like seeing all of this. I mean, it’s market correction. You’re always

35:13

going to have those no matter what. And that’s what we’ve seen with Bitcoin and

35:17

well, not with Bitcoin, but we’ve seen with crypto. I think Bitcoin is going to

35:20

continue to go high. I don’t know when. I don’t know why or how, but

35:26

the scarcity is a big component to it. You know, it’s more scarce than gold.

35:30

And more people are going to buy it. But yeah, I mean, board apes, these [ __ ]

35:35

things. Um, man, I think and let’s pull up some data actually. So, about or no,

35:41

we can see it right here. Uh, OpenC had a redesign. It’s a little confusing

35:45

right now, but it it’s like you move the forks around

35:48

in your house and you can’t find the forks.

35:52

Exactly. Um, so there’s over 5,000 owners. Half of them are unique, which

35:58

is interesting. You know, I don’t know. Uh, let me know what you

36:03

think on that. only 3.4% are listed and the top offers

36:08

right now is about six E which is about $18,000.

36:13

Dude, I know when people were buying these things for millions and now it’s

36:16

like less than 10% of that which is insane. Um it was a it was a bubble that

36:23

I don’t think anybody Well, I think a lot of people thought it

36:28

was a bubble but I don’t know if any of the people buying it thought it was a

36:32

bubble, you know. You know, this is where I’ve had learn.

36:38

So, I’m 28 and the first bubble that happened in my lifetime was the dotcom

36:43

bubble, but I was like an infant. I didn’t know [ __ ] I was just [ __ ] in my

36:47

diapers. Um, and then in 2008 was the house mortgage crisis or the um housing

36:53

crisis. Yeah,

36:55

I was I was playing le I was playing with my Legos in that time, dude. I was

36:59

watching Star Wars, Clone Wars. I was doing all that stuff and I think

37:04

um well there’s this meme with YC where they’re hiring younger and younger kids

37:09

or you know people which is nice but um there was this viral video that went

37:15

popular on on Twitter where it was um God I think it was like the the kid was

37:20

not no not older than three years old and he was already like talking about

37:24

this is how you can get on YC. How about you first learn how to wipe

37:29

your own ass before you can talk about how to get into YC? But um the point

37:34

here is is you know I think the crypto bubble with the NFT bubble that we saw

37:40

was my first adult bubble where I can be like okay no so this is kind of how

37:45

things are. You know people will this new thing that’s trending will come

37:51

out and then people are going to oversell it. They’re going to think it’s

37:54

going to change the world and it’s going to only go up. That’s how it is. And

37:58

then people realize, “Oh, this thing sucks. It’s not as good. It’s not going

38:02

to solve my problems or it’s not going to make me infinite money.” Boom. People

38:06

sell. People stop selling it. They stop talking about it. It just goes to [ __ ]

38:11

And that’s kind of what we saw with NFTTS. And this is kind of like what

38:15

we’re seeing with AI. You know, a lot of people right now think AI is going to

38:19

replace jobs. You know, there’s this famous article that came out about

38:22

Amazon laying over uh 12 13,000 employees just because of AI. But it’s

38:28

not because AI is going to replace their job. because they were instead

38:32

allocating that money that would go from 13,000 employees or so into their own AI

38:38

infrastructure because they could make more money on the AWS side instead of

38:42

you know putting that money to their employees which still sucks but it’s not

38:48

directly AI is not directly replacing people and there’s still some

38:52

hallucinations I think AIs have gone have come a long way since 2022 but

38:58

I mean one more thing I’ll say is I made this post and it had one like. So if you

39:02

guys want to like it, give it a like. Um, so this is kind of what I talked

39:05

about. I said consumers don’t actually care about AI. They care about outcomes.

39:09

Gen AI, computer vision, automation, robotics, large language models, etc.

39:13

are not the same. Gen AI gets the hype, but automation gets their attention.

39:17

People gravitate to AI when it removes friction, saves times, or handles the

39:22

boring stuff. there is more value more people or excuse me uh value over

39:28

novelty every time. That’s kind of what I wrote and that’s kind of like my

39:33

interpretation what I’ve learned about all these bubbles that we’ve seen where

39:39

you know hype is just not going to last forever. Retention happens when there’s

39:44

value actually given in AI right now. If we can automate the boring stuff, things

39:49

that we don’t want to necessarily handle or don’t care about as much. That’s

39:54

where AI is going to come into use. For instance, we use AI to do market

39:57

research for our next few episodes. It saves me a [ __ ] ton of time. As someone

40:02

who barely has time to eat, sleep, you know, like I’m very sleepd deprived in

40:06

general because I’m working a full-time job. I’m building a startup. I got to

40:10

make sure my dog doesn’t die on me. So, I got to take care of her. I got to

40:13

spend time with my fianceƩ. I got to barely make some time for my friends in

40:17

between. I am so [ __ ] busy. I don’t want to spend more of my time doing

40:20

market research. I rather just be able to get the stuff that matters as soon as

40:24

I can. And that’s where AI comes in. And that’s why I pay for OpenAI. I pay for

40:29

Claude. And I mean, yeah, I I also could pay for

40:34

Nate end to automate some of my workflows. But that’s the general

40:38

message that I want to leave with. We’ll see. Like I think AI is going to have a

40:44

bust a little bit. Some of these companies that are building on top of

40:47

the big ones are going to go away. And I think if some of these go away, you’re

40:52

not going to, you know, like the amount of credits that are being bought right

40:55

now. Like dude,

40:58

it’s just crazy. Like do you want to talk about real quick too the Sam Alman

41:01

bailout? Like I I don’t understand what’s what’s happening there. I just

41:05

know that there was a meme online. Okay. So, real quick, TLDDR, Sam Alman

41:13

came out doing some press releases, some some marketing or not marketing, but

41:17

much more like interviews. Uh, he was pushing for the government backing

41:22

OpenAI’s debts amid shutdown, which it drew a lot of criticism on X. And this

41:29

is I asked Grock like, “Hey, give me some context.” So, I’m going to read it

41:32

for you again. uh people were criticizing uh his him

41:38

asking that on the government to relieve some of OpenAI’s debts, which is

41:42

basically saying, “Hey, bail me the [ __ ] out.”

41:45

Um this was ironic for a tech billionaire

41:49

seeking socialist style aid. So, a lot of and and I don’t want to get too

41:53

political, but it’s a lot of people push this idea that socialism is bad, but

41:58

right now what we’re seeing, and we saw it in 2008, uh we have corporate

42:02

socialism, which means the government will bail you out at no extra cost, and

42:05

they don’t even ask for anything in return, which is just bad business. Um,

42:09

and I have a couple of posts that I can refer to if you like, but um that’s the

42:13

general premise of it. Um, no, that makes sense. And I think, you

42:17

know, if the government does bail them out, they need to take equity. Like,

42:20

dude, absolutely, dude. You know, Bernie Sanders was really big

42:24

on this. And the iron the irony is Trump is the one who who implemented it with

42:30

Intel and others. Like, I think if we bail out any of these companies, us, the

42:35

taxpayers should benefit. Um, the United States is an extreme amount of debt.

42:40

It’s not sustainable. Like, yeah,

42:42

you know, in the end, it’s just not. Um, the only thing that’s backing it up

42:46

right now is the warships that that move around this this world. Um, and I think

42:52

if we want to see this stuff progress, like we can’t let these these private

42:58

companies just take advantage of that, we should probably forgive their debt in

43:03

the end because unfortunately, if you don’t, they could

43:08

go belly up and it’s going to take the whole US economy just like uh 2008. If

43:12

you let these things that are too big to fail fail,

43:16

it would have sent us into like a depression. You know, like the

43:20

government has so many things to stop another great depression and we’re h

43:25

hurtling towards so many problems. And one of them is is if the United States

43:30

dollar just falls, it is a problem. But if Sam wants to be bailed out, he needs

43:36

to give up equity. And he needs to give up significant amount of equity. Um is

43:39

that worth something? Who knows? Like again, open AI is is pushing this

43:45

forward. Like Microsoft is spinning up um nuclear reactors to power data

43:49

centers. Like there is a problem right now with how do they power all this in

43:54

this world. I think it’s very real what they’re

43:59

building. they have in their last reporting or in their last um I guess uh

44:05

town hall if you want to call it that Sam Elman reported almost a billion

44:09

people using open AI you know or chatbt which is like 800 million the specific

44:14

the the exact number around that ballpark that is a real business and

44:18

that is a real amount of traction I wish 8 billion people or excuse me 8 million

44:24

people were using social market right um and the same could be said a lot of

44:28

people a lot of businesses want that many people. So, I think what they build

44:32

is not vapor work. I think they build a very tangible, very useful, productive

44:36

tool, productivity tool. But asking for a bailout, dude, you’re shooting for the

44:40

moon. You need to be ready to have the conversation of like, what can I give

44:44

back to the taxpayers and the government that is going to build me up? Because

44:49

this conversation was very different in 2008 from what it seems. Again, I was

44:52

wiping I was I don’t know, being a kid, right, in 2008. But

44:56

yeah, um

44:56

licking some eating some Legos and snorting uh nickels probably.

45:02

No, dude. I was snorting glue, dude. That was the thing.

45:05

So, explains a lot,

45:06

you know. Oh, absolutely. So, the thing is is

45:11

banks when they got bailed out, they didn’t give [ __ ] back.

45:15

Real quick, uh small small amendment to your thing. Um, the US Treasury did

45:22

disperse like I think like $450 billion. I believe they got like 95% of that

45:30

money back. Wait, what do you mean?

45:33

They they were repaid on that those bailouts.

45:36

Oh, okay. Yeah, cuz the Treasury the Treasury is

45:40

the one who bailed it out. It’s the same thing as um

45:43

um uh Argentina. Argentina’s the 20 billion dollars that they gave is is

45:49

like a it’s a weird currency swap system where they bail out the country and then

45:54

essentially the Treasury will get that money back at some point, but a lot of

45:59

this stuff is like an odd like like move of money. Um it’s the same thing.

46:06

Yeah. Like the Ukrainian all the stuff that were Yeah. Essentially exactly that

46:11

bubble. But Ukrainian war is the same thing. Every missile we give, we

46:15

essentially get money back for it, but it’s like in a later date.

46:20

Okay. So, it’s not like we’re just giving the money. No strings attached.

46:24

That’s crazy. Yeah. Like in in many ways there are

46:28

strings attached, but they they have to do it. It’s like um the bailouts did not

46:35

address the underlying issues that led to the crisis but it resulted in like a

46:41

moral hazard you know or risk of financial you know future excessive risk

46:46

takingaking by financial institutions like there’s a weird thing but public

46:50

perception is that bailouts were a net positive you know in there um you know

46:56

all of that but uh there was like bonuses paid to bank executives you

47:01

general feeling that no one was held accountable, which is why this bailout

47:05

is that moral, you know, part. Same thing with Sam Ultimate. Like, if if he

47:10

gets bailed out, he’s probably going to take a bonus. He’s going to take more

47:12

equity. Like, no. Like, you you should put all of these tools in in in front of

47:18

them to stop that. But also that was um some of the laws that was passed after

47:22

two 2008 that Trump has actually repealed for the most part um to protect

47:26

the to protect the American people from big banks over lending and doing

47:31

fractional things that just caused caused all this. Um but that money was

47:37

all paid back in that bailout. I don’t know about the cars the car companies if

47:41

they were paid out. I know Ford didn’t take money, but I think GM and all that

47:45

inevitably took money that that, you know, inevitably Stellantis bought most

47:49

of those brands. Chrysler, you know, all Jeep, all that. So, did that one help?

47:55

Probably not. Um, but many of those banks would have gone under. Um, I think

47:58

there were six banks in total. Okay. Yeah, I mean, that makes sense.

48:03

Um, well, there goes my argument. Um, you know, you you probably framed it

48:08

much better than I would, so I appreciate that.

48:10

Great, man. I mean, anything else? No, let’s let’s do the wrap on it. Um,

48:16

great. Yeah, I think that’s it.

48:19

Great. Well, thanks so much for watching. This has been Social Market.

48:23

Excuse me. This has been Social Leisure Report with J.R., founder and CEO of

48:26

Social Market and Leon, CMO of Social Market. And make sure you like this

48:31

video if you liked it. Subscribe if you want to keep watching this kind of

48:33

stuff. If you disliked it for whatever reason, give it a dislike. And yeah,

48:37

this has been Leave a comment, too, if you disliked

48:39

it. I I want to know why you disliked it. Don’t Don’t leave me wondering.

48:44

And if you actually stayed this long to watch it, thanks so much. Um let us know

48:47

what you think. Yeah. We’ll see you in episode 29 next week. Take

  • Instagram
  • TikTok
  • YouTube
  • X
  • Facebook

Technology | Business | Marketing

Copyright 2025. The Boost Network. All Rights Reserved
Built by Hitchens Ventures & Ruskin Consulting.

  • ABOUT
  • THE MARKETING BOOST
  • BEYOND GIVING
  • SOCIAL LEDGER REPORT