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Speaker 1: Welcome back in hour number three, last hour of the week,

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Speaker 1: fourteen hours up. We are now rolling into the fifteenth hour,

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Speaker 1: and we thank all of you for listening to us.

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Speaker 2: Positive news.

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Speaker 1: As we started off the show, all time record highs

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Speaker 1: in the s and P five hundred in the dal

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Speaker 1: Jones in the Nasdaq, as inflation has come in lower

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Speaker 1: than expected, and as mortgage rates are hitting a new

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Speaker 1: low for the year on both the thirty year and

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Speaker 1: the fifteen year, and as gas prices hit a four

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Speaker 1: year low going all the way back to twenty twenty one.

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Speaker 1: There are many different, very positive stories out there. We

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Speaker 1: will get to a lot of your talkbacks and they

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Speaker 1: are of a variety of different perspectives. Have some fun

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Speaker 1: here in the final hour of this week, but I

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Speaker 1: wanted to update you on one of the law related

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Speaker 1: issues that we are currently facing in the country, and

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Speaker 1: that is Letitia James, having been indicted by a grand

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Speaker 1: jury in Northern Virginia, has shown up and pled not

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Speaker 1: guilty in Northern Virginia today. These were some of her comments.

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Speaker 1: Let's start with cut thirty three.

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Speaker 3: This is not about me, about all of us, and

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Speaker 3: about a justice system which has been weaponized.

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Speaker 2: A justice system which.

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Speaker 3: Has been used as a tool of revenge. This justice

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Speaker 3: system which has been used as a tool of revenge

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Speaker 3: and a weapon against those individuals who simply did their

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Speaker 3: job and who stood up for the rule of law,

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Speaker 3: and the justice system, which unfortunately is nothing being used

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Speaker 3: as a vehicle of retribution.

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Speaker 1: I mean a lot of claptrap there here is a

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Speaker 1: bit more. No fear today, says James, after pleading not

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Speaker 1: guilty on her mortgage fraud charges.

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Speaker 3: I have this belief in the justice system, in the

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Speaker 3: rule of line. I have a j and I have

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Speaker 3: a belief in America and all of its individuals who

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Speaker 3: have stood with me, not only in New York, but

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Speaker 3: all across the station. I've heard from just about every

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Speaker 3: jurisdiction in this nation who have said stand up and

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Speaker 3: be tall and never ever cow down or back down,

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Speaker 3: or break or bend. So there's no fear today, No fear,

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Speaker 3: no fear, No fear, no fear, because I believe that

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Speaker 3: justice will rain down like water and righteousness like a

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Speaker 3: mighty stream.

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Speaker 2: All right, you know what's missing, Clay? Did you do

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Speaker 2: the thing that the prosecutor says you do? Everything that

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Speaker 2: she's talking about is like a campaign speech. This is

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Speaker 2: not about me, This is about you. Now, it's actually

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Speaker 2: about you. I think this is very straightforward. Did you

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Speaker 2: do the thing that the prosecution says you did. As

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Speaker 2: a person who is prosecuting other people for that same act,

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Speaker 2: you should be held accountable for doing that thing. Otherwise

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Speaker 2: we have a people who hate Trump don't get prosecuted,

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Speaker 2: and people who like Trump get prosecuted even if they

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Speaker 2: did nothing wrong standard, which is what we've been going

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Speaker 2: through for recent in recent years, including the President himself

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Speaker 2: of course most notably. So, this should be very, very easy,

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Speaker 2: very obvious. Did you do the thing that they say

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Speaker 2: you did? And she's not seeming to claim that she

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Speaker 2: didn't in any of this. She's just saying that this

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Speaker 2: is about the broader justice system and all this other stuff. Well,

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Speaker 2: we'll see about that. So that is one bit of news.

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Speaker 1: Another bit of news out there is that we now

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Speaker 1: have buck an endorsement of Mom Donnie by Hakeem Jeffries,

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Speaker 1: the minority leader in the House of Representatives. He had

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Speaker 1: avoided to this point doing that endorsement. He has just

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Speaker 1: sent an endorsement to The New York Times, which has

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Speaker 1: just published it in the last few minutes. So as

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Speaker 1: we sit here roughly what ten days out or so

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Speaker 1: from the New York City mayor's race, with early voting

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Speaker 1: officially beginning tomorrow, this is basically the last possible moment

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Speaker 1: we mentioned this. Eric Adams has endorsed Cuomo. Curtis Sliwa,

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Speaker 1: according to producer Ali, has agreed that he will come

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Speaker 1: on the show next week. So at some point next week,

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Speaker 1: as we move closer to the official election day, Curtis

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Speaker 1: Sliwa will make his case. So far, Andrew Cuomo has

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Speaker 1: still refused to come on the program, and I'm assuming

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Speaker 1: Mom Donnie would refuse to come on the program, but

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Speaker 1: I guess we could invite him to. This is I

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Speaker 1: think this is important because but you're a New York

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Speaker 1: City kid, born and bred. Ultimately, I think all of

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Speaker 1: the controversies that we have right now, the shutdown, UH,

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Speaker 1: the uncertainty as to win the government is going to

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Speaker 1: open back up. I think a lot of it is

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Speaker 1: rooted in Mam Donnie royaling the waters of the New

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Speaker 1: York Democrat Party and getting Hakeem Jefferies and Chuck Schumer

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Speaker 1: very nervous about their own futures in the New York

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Speaker 1: Democratic Party based on Mamdanni coming from nowhere and winning

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Speaker 1: as a far left wing nominee and shocking a lot

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Speaker 1: of people when he bought when he beat Andrew Cuomo

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Speaker 1: in the primary.

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Speaker 2: Yes, I I'm sorry, I thought you were calling for

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Speaker 2: a clip there. I would say, uh, mam Donnie. Mam

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Speaker 2: Donnie is going to do some of the things that

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Speaker 2: he says, so that's concerning. And I would say that

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Speaker 2: Mamdannie is going to be incapable of moving on some

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Speaker 2: of the other things that he's working on or that

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Speaker 2: he says he wants to work on, So it will

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Speaker 2: be he will be limited by his inefficiency. But overall,

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Speaker 2: his whole baseline idea that he's going to make the

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Speaker 2: city more affordable involves doing things that make the city

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Speaker 2: less affordable. This is the little This is what I

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Speaker 2: meant when I said, oh, they want to make us

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Speaker 2: safer by taking away AR fifteens. Air fifteens are not

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Speaker 2: the problem for public safety anywhere in the country for

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Speaker 2: that matter. It's just they want to have an excuse

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Speaker 2: to do something else politically, and they use safety as

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Speaker 2: a prop in that whole dance. The reality here with

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Speaker 2: Mamdanni is making the city more affordable would require doing

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Speaker 2: things that they simply do not want to do, like

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Speaker 2: less government regulation of rent easier, make it more profitable

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Speaker 2: and easier for developers to come in and to build housing.

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Speaker 2: I mean this, The more market based it is, the

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Speaker 2: more efficient it will become, and the more efficient it becomes,

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Speaker 2: the lower the prices are. This is the fundamental flaw

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Speaker 2: and all of the logic from Mamdanism, which is why

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Speaker 2: we call him a kami. He seems to think that

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Speaker 2: all of the disruptions and the distortions that exist in

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Speaker 2: the New York City housing market are the result of

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Speaker 2: just fat cats and people who don't care about the

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Speaker 2: poor and all this emotional stuff, when the reality is

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Speaker 2: that it's people like him that have made the situation

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Speaker 2: as bad as it is. It's people that think that

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Speaker 2: if only you know, here's just one example, they'll say, Oh,

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Speaker 2: we're going to build all these affordable housing units. Okay,

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Speaker 2: who wants to live next to these affordable housing units?

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Speaker 2: Not only who wants to live in them, but who

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Speaker 2: wants to live next to them? Who wants to have

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Speaker 2: that massive construction going on that will then be filled

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Speaker 2: with people who are paying effectively nothing to live there. Right.

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Speaker 2: This is another issue that never gets addressed by these individuals.

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Speaker 2: This is why when they tried for a while, unto

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Speaker 2: the Obama administration, to attack zoning, and that sounds like

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Speaker 2: a really boring thing, but it's actually a really big thing.

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Speaker 2: Zoning at the state level in places like New York,

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Speaker 2: so that you would have affluent communities like Chappaqua would

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Speaker 2: all of a sudden have to have a lot of

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Speaker 2: low income housing within their town limits.

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Speaker 3: Oh.

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Speaker 2: Even the Democrats freaked out on that one. Oh, all

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Speaker 2: of a sudden, All of a sudden, you had Hillary

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Speaker 2: and Obama voters who were like, WHOA, I don't want

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Speaker 2: I don't want that low income housing in my area.

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Speaker 2: The market is the only thing that will really effectively

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Speaker 2: address the housing shortage, the housing issue. You know, in

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Speaker 2: a place like Florida, people might say, well, why is

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Speaker 2: there a housing shortage in Florida. Well, it's cause so

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Speaker 2: many people moved here so quickly, and now they're trying

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Speaker 2: to keep up with demand. But they are building rapidly.

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Speaker 2: One of the problems is they don't have enough people

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Speaker 2: to build this stuff. Right. But the market will take

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Speaker 2: care of this because people have to pay more to

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Speaker 2: get the houses done, more people will go into building.

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Speaker 2: I mean, this is how it actually works. So just

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Speaker 2: everything that Ma'm Donnie says he's going to do for

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Speaker 2: the city on affordability is it's not that it won't work.

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Speaker 2: It will work to make the city less affordable. And

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Speaker 2: that's and also when you start to clay have people leaving,

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Speaker 2: who are the high income urders. One percent of New

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Speaker 2: York City residents pay fifty percent of the taxes, so

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Speaker 2: you don't have to lose a lot of people to

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Speaker 2: start to blow a big hole in the New York

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Speaker 2: City budget, no doubt.

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Speaker 1: And by the way, then that money moves to states

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Speaker 1: like Florida, Tennessee, and Texas, and it's a virtuous circle

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Speaker 1: because all of the services get better there. As you've

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Speaker 1: pointed out, Florida has what most people would consider to

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Speaker 1: be better government than New York and it costs half

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Speaker 1: as much. People are still mad at me for saying,

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Speaker 1: Curtis Lee, what should drop out? Given that it's Friday,

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Speaker 1: Let's hit some of those talkbacks, buck, beginning.

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Speaker 2: With Curtis is going to join us next week. Everybody,

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Speaker 2: just right, No, that's he's going to have more. We're

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Speaker 2: figuring out the day, but he's going to join us

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Speaker 2: and I, uh, I'm looking forward to that conversation. I

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Speaker 2: think Curtis and Clay are going to be great friends.

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Speaker 1: Joe in La at k e IB radio, Uh, he's

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Speaker 1: got to take bb.

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Speaker 4: I agree with all these guys criticizing Clay. Tell me,

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Speaker 4: Slee what a drop out Clay would have probably had

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Speaker 4: the US Olympic hockey team in nineteen eighty drop out

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Speaker 4: instead of playing the Russians. As Herm Edwards once said

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Speaker 4: the great football coach, you play to win the game,

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Speaker 4: and if it gives Cuomo a two percent after chance

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Speaker 4: of winning, Cuomo, you play to win the game.

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Speaker 1: Richard in Spokane, we said, we have a great audience

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Speaker 1: in Spokane, Washington, some of the same people on the

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Speaker 1: Pacific Northwest listening to us right now at news radio

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Speaker 1: five ninety kqu and T.

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Speaker 2: He says this cc.

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Speaker 5: I did seven years in the joint. If you don't

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Speaker 5: fight because you think you're gonna lose, then everybody is

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Speaker 5: going to take advantage of you. You fight, win or lose,

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Speaker 5: you fight, So yeah, you're wrong. Sleewan needs to stay

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Speaker 5: in and be a fighter.

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Speaker 1: Seventeen years in prison, Buck, I mean, that's a that's

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Speaker 1: gotta be a tough ride.

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Speaker 6: You know.

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Speaker 2: I'll tell you this a lot of the sleeve with

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Speaker 2: fans out there basically telling you, Clay, every man dies,

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Speaker 2: not every man really lives. You know, they want to go,

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Speaker 2: They want to go with their shield or on it.

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Speaker 2: You know, they're they're not looking to do anything other

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Speaker 2: than take this to the mat, take it all the way,

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Speaker 2: even invoking the great American hockey win in the movie

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Speaker 2: Miracle against the Russians, which even I have seen, because

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Speaker 2: producer Mark was so appalled that I had not seen

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Speaker 2: that movie.

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Speaker 1: I tying this all full circle. Monday in New York City,

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Speaker 1: I helped to raise money with our friend Frank Siller

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Speaker 1: and Tunnel to Towers. Among the object's auctioned off buck

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Speaker 1: a nineteen eighty US men's soccer team autographed jersey by

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Speaker 1: one of the members of that team, maybe Curtis Sleie.

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Speaker 2: What can hang it on his wall?

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Speaker 1: I will point out, as I am speaking to all

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Speaker 1: of you, and as the election begins tomorrow, according to

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Speaker 1: the gambling markets, Mom Donnie ninety three percent chance of winning.

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Speaker 1: By the way, this is with two hundred and eighty

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Speaker 1: one million dollars bet on on the marketplace right now?

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Speaker 2: Well, is is the mafia rigging this one to Clay?

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Speaker 1: I don't know, you know, ninety three percent chance? Quai, Yeah,

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Speaker 1: Cuomo five percent chance. Curtisly what less, He's got a

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Speaker 1: point five percent chance?

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Speaker 2: All right?

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Speaker 1: So if right now you bet on him, you can

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Speaker 1: get Curtis Lee what to win this race at two

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Speaker 1: hundred to one, and you put down a dollar, you

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Speaker 1: get back two hundred. So that is absolutely bonkers. Did

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Speaker 1: I say that soccer instead of hockey?

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Speaker 4: Is?

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Speaker 2: I thought I said hockey. I didn't say soccer. I

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Speaker 2: don't know. Somebody's correcting us. I know it was hockey.

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Speaker 2: Is a hockey fan, I don't know.

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Speaker 1: Producer Greg is lighting us up saying that that we

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Speaker 1: someone of us said soccer. I mean I think we

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Speaker 1: said hockey. We know it was nineteen eighty. Oh he's saying.

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Speaker 1: He's saying that you you said it. So I'm okay

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Speaker 1: with that as long as it's not my fault.

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Speaker 2: Hockey apologies.

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Speaker 1: The World Cup's coming up this summer, by the way,

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Speaker 1: should be fun for soccer fans out there. Buck's a

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Speaker 1: big soccer guy like like soccer. It's one of my

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Speaker 1: American traits. You know, my most Unamerican traits is I

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Speaker 1: enjoy I enjoy watching soccer. I think it's gonna be

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Speaker 1: awesome in the US. They got the draw coming up

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Speaker 1: in December at the Kennedy Center, which President Trump probably

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Speaker 1: I would bet, will show up to be a part of,

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Speaker 1: which should be very cool in early December to find

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Speaker 1: out when the games are and how it gets set up.

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Speaker 2: I think Trump should he should do. He should do

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Speaker 2: the play by play for a game, like he passed

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Speaker 2: the ball, he passed the ball to somebody else, another pass,

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Speaker 2: a beautiful pass, another pass. Maybe it'll be a goal

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Speaker 2: at some point, you know. Trump doing play by play

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Speaker 2: for soccer, I think would be a great boon for

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Speaker 2: the World Cup.

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Speaker 1: It would be very, very fun. I don't disagree. I

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Speaker 1: don't disagree at all about that.

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Speaker 2: He'd be like Dominguez passes to Rodriguez, Rodriguez too, Dominguez

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Speaker 2: back to Rodriguez. You know, he could sort of do

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Speaker 2: a whole thing. It would be a lot of fun.

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Speaker 2: One of the more gratifying projects I've taken on this

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Speaker 2: fueled by the Trump administration. Here's the money in Power is.

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Speaker 2: It's the biggest political and national security stories merged with

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Speaker 1: Sometimes all you can do is laugh, and they do

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Speaker 1: a lot of it with the Sunday Hang join Clay

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Speaker 1: as they lap it up in the Clay and Buck

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Speaker 1: podcast feed on the iHeartRadio app or wherever you get

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Speaker 1: your podcasts.

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Speaker 2: Welcome back in here to Clay and Buck. We'll get

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Speaker 2: some calls, and also in a few minutes we'll talk

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Speaker 2: to you about these cartel strikes that have been happening.

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Speaker 2: The US has been blowing up drug boats in international

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Speaker 2: waters in the Caribbean, boats that have been leaving Venezuela.

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Speaker 2: But we have, uh, Christy in Utah wants to chat

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Speaker 2: with us. What's going on? Christy?

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Speaker 6: I I actually called a few weeks ago. I'm the

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Speaker 6: conservative HR person who suggested that you add hot chocolate

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Speaker 6: to your crocket copy.

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Speaker 2: We are trying ideatually. We've had discussions about this. We

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Speaker 2: like that idea, But what else is on your mind? Christy?

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Speaker 6: So I don't know. I just I wanted to talk

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Speaker 6: about the economy. I don't know if you guys know this,

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Speaker 6: but there's I support most of what's going on, but Honestly,

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Speaker 6: the job market is insane. There are people who've been

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Speaker 6: out of work for like a year, two years. Like

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Speaker 6: LinkedIn is flooded with people in all kinds of different

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Speaker 6: fields that have been looking for work. And you know,

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Speaker 6: one job post goes up and it gets like two

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Speaker 6: hundred responsers in a day, so they have to tick

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Speaker 6: it down. My job was eliminated in July. So that's

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Speaker 6: how I'm seeing this. So I want to get your

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Speaker 6: guys's take on this because there are a lot of

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Speaker 6: qualified people out of work right now.

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Speaker 1: Thank you for the call. We can talk about this. No, Christy,

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Speaker 1: we appreciate your call, and good luck on the job search.

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Speaker 2: Where are you.

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Speaker 1: I'm in Utah, all right, so tag us at Clay

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Speaker 1: and Buck. If people in Utah need an HR person

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Speaker 1: and they want someone who's not insane, just hop in

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Speaker 1: the mentions or actually just stay online you can. We'll

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Speaker 1: take down your contact. Somebody can reach out because obviously

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Speaker 1: we want everybody to get as many jobs possible. Buck

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Speaker 1: on the backside, we'll talk about this because I do

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Speaker 1: think there's a big story going on there. But I

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Speaker 1: want to tell you in the meantime, if you have

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Speaker 1: got a family, and a lot of you do. And

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Speaker 1: if you are worried about trying to eat healthy with

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Speaker 1: that family and a lot of you are trying to

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Speaker 1: do that. This is exactly what Good Ranchers is all about.

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Speaker 1: Ben and his wife Corley have built a great American

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Speaker 1: business to try to feed your family in the same

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Speaker 1: way they feed their own. They've got four young kids,

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Speaker 1: and every single day they are thinking about how to

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Speaker 1: help make Americans eat healthier. These are all American raised meats.

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Speaker 1: Whether it's chicken, whether it's port, whether it is salmon,

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Speaker 1: whether it is be all American raised.

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Speaker 2: You're gonna love it.

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Speaker 1: And right now through Thanksgiving, Good Ranchers encouraging families to

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Speaker 1: sit down share a meal at least once a week,

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Speaker 1: and every week one lucky winner gets a free Thanksgiving

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Speaker 1: ham for sharing a photo on Instagram tag good Ranchers.

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Speaker 1: Go to good ranchers dot com. My name Clay for

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Speaker 1: forty dollars off. That's good ranchers dot com. Welcome back

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Speaker 1: in Clay Travis buck Sexton Show. Okay, we just had

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Speaker 1: the call Christy. Was it Christy who called in from Utah?

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Speaker 1: She was talking about the job market. She works in

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Speaker 1: HR and the challenges that she is seeing. I'm sure

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Speaker 1: that many of you who are looking for jobs have

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Speaker 1: seen the same thing. Here's what I think is going on, Buck,

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Speaker 1: and you can sign on or not sign on to this.

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Speaker 1: I think that AI is going to be incredibly transformative

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Speaker 1: for many different companies out there. And I actually think

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Speaker 1: that some of the jobs that are being pushed aside

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Speaker 1: right now are actually more white collar than blue collar

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Speaker 1: in nature. And so there are certain jobs. Let's say

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Speaker 1: you're a plumber right now, I don't think there's AI

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Speaker 1: plumbing that is taking away your job. I don't think

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Speaker 1: that if you're a roofer there's AI roofing that is

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Speaker 1: changing what you're doing. Truck driving, so far, all those

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Speaker 1: things quote unquote blue collar jobs working with your hands

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Speaker 1: in some sort of factory. I think there are a

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Speaker 1: lot of thought related so called white collar jobs that

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Speaker 1: a lot of companies are just not filling right now

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Speaker 1: because they don't know necessarily how quickly AI is going

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Speaker 1: to advance and eliminate a lot of these jobs. And

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Speaker 1: so I think there's a bit of an inversion in

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Speaker 1: the job market where there are a lot of people

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Speaker 1: who felt very confident, Hey, I'm always going to have

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Speaker 1: a job. And I talk about this with my boys

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Speaker 1: even now. I buck I think a lot of lawyers

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Speaker 1: are going to be losing their jobs in the years ahead,

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Speaker 1: because when I graduated law school, you had twenty five

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Speaker 1: year old lawyers who would sit in front of a

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Speaker 1: computer screen and would be looking through documents and flagging

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Speaker 1: the relevant documents and all these things, billing hundreds of dollars.

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Speaker 1: That's going to become automated. I think a lot of

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Speaker 1: these consulting jobs that people got, a lot of these

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Speaker 1: investment banking jobs, they are remember the super.

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Speaker 2: Skilled, if you remember sharing In the Timeless classic, Clueless

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Speaker 2: gets into trouble with the mean associate lawyer because she

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Speaker 2: highlights the June ninth calls or whatever, and she's supposed

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Speaker 2: to highlight the June fifth calls. But in the nineties

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Speaker 2: you had lawyers who were making hundreds and hundreds of

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Speaker 2: dollars an hour doing stuff like that, going through phone records.

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Speaker 2: Not even just the nineties, I mean until recently. The

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Speaker 2: Once you start to use AI as a tool, and

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Speaker 2: I would recommend that all of you do so for

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Speaker 2: your own lives. As a tool, look, I'll tell you,

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Speaker 2: and it tells you don't do this, or rather, it

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Speaker 2: doesn't say don't do this, it says, don't rely on this.

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Speaker 2: I've uploaded my blood work to GROC to try to

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Speaker 2: get ideas for health for like, because because the doctor,

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Speaker 2: you know, the doctor, as you all know, you go

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Speaker 2: in there for the most part, you get, you get

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Speaker 2: your five minutes with the doctor. Here's the big problem,

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Speaker 2: here's this whatever. I'm like, well, what about this? What

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Speaker 2: about that? I'm always a person who I have more

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Speaker 2: questions than the doctor wants to answer. I can sit

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Speaker 2: there and ask. Now, GROC will tell you it's not

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Speaker 2: a doctor. Same thing with Gemini and these other you know,

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Speaker 2: uh fratch ept and so you should always consult with

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Speaker 2: your doctor. But if you're just you know, so, there's

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Speaker 2: that disclaimer. But it is amazing the detailed information, factoral

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Speaker 2: information you can get on these things. But you remember

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Speaker 2: that scene from Clueless, right, oh yeah, it's a great movie,

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Speaker 2: and he's like, he's like, you do what you want

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Speaker 2: with your butts. I'm calling in sick, and then she's

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Speaker 2: like so sad, and then she gets romantic with her stepbrother,

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Speaker 2: which I feel like everyone is just a little too

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Speaker 2: okay with in that movie, remember that played by Paul Rujosh. Yeah,

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Speaker 2: Josh is the step brother and they're playing Smoochy smooch.

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Speaker 2: But it's like, that's your stepbrother. I think that's weird.

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Speaker 1: Do you think that Paul Rudd is maybe one of

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Speaker 1: the people who has least aged in the last thirty

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Speaker 1: five years? I mean, I don't know what he does,

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Speaker 1: but if you look at him in basically his entire

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Speaker 1: acting career, he doesn't look very different now than he

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Speaker 1: did all the way back. He's basically looked thirty for

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Speaker 1: about thirty five years. That sounds about right, probably, Yeah, yeah,

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Speaker 1: he's not going at.

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Speaker 2: Tom Cruise level where you're like, what what alien science

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Speaker 2: experiments are being run to make him still look like

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Speaker 2: he should be running around doing fly kicks when the

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Speaker 2: guy's like my dad's age. But yeah, sure, right.

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Speaker 1: What Let me ask you this, though, do you sign

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Speaker 1: on to my idea that AI initially is having more

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Speaker 1: of an upper middle class job impact than it is

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Speaker 1: lower You know, when I say class, I mean like

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Speaker 1: what your salary is.

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Speaker 2: It's an enormous white collar. It's an enormous efficiency tool

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Speaker 2: for bureaucratic and paper shuffling kind of work. And so

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Speaker 2: there are a lot of people who work on who

435
00:23:44,520 --> 00:23:48,159
Speaker 2: have jobs where that is their job. What is the

436
00:23:48,240 --> 00:23:52,000
Speaker 2: job really entail? It entails doing, you know, doing research

437
00:23:52,040 --> 00:23:57,119
Speaker 2: for things, going through things, finding things. Well, now you

438
00:23:57,160 --> 00:24:00,440
Speaker 2: can upload a you know, you can upload one hundred

439
00:24:00,480 --> 00:24:02,560
Speaker 2: thousand pages if you want to into some of these

440
00:24:02,600 --> 00:24:05,960
Speaker 2: AI programs and it will give you every citation or

441
00:24:06,000 --> 00:24:10,879
Speaker 2: every every statistical example of whatever you're looking for, and

442
00:24:10,960 --> 00:24:13,600
Speaker 2: it can do it in a couple of minutes. So

443
00:24:13,640 --> 00:24:16,040
Speaker 2: you think about the time savings. We actually talked to

444
00:24:16,040 --> 00:24:18,159
Speaker 2: doctor Marty McCay about this and what's going on with

445
00:24:18,200 --> 00:24:24,040
Speaker 2: the FDA. Yeah, for massive medical trials, you know which

446
00:24:24,080 --> 00:24:27,320
Speaker 2: they do these big you know, ten year, fifteen thousand

447
00:24:27,400 --> 00:24:30,119
Speaker 2: person data sets and all this this is gonna make

448
00:24:30,119 --> 00:24:32,680
Speaker 2: that Now that's just a I think that's nothing but upside.

449
00:24:33,000 --> 00:24:35,480
Speaker 2: But to your point about some of these jobs, here's

450
00:24:35,480 --> 00:24:38,080
Speaker 2: what we had an HR A lady from HR calling before, right,

451
00:24:38,800 --> 00:24:40,280
Speaker 2: just saying that out loud. I feel like I'm about

452
00:24:40,280 --> 00:24:42,160
Speaker 2: to get in trouble for something. Yeah, right, we're gonna

453
00:24:42,160 --> 00:24:45,320
Speaker 2: get lady call. So it's just gonna be honest. Clay

454
00:24:45,320 --> 00:24:47,560
Speaker 2: and I have existed in the world where you never

455
00:24:47,560 --> 00:24:49,480
Speaker 2: want to hear from the HR lady, I'm just gonna

456
00:24:49,480 --> 00:24:53,600
Speaker 2: se it's like, you know, especially if it's a lady,

457
00:24:53,600 --> 00:24:55,199
Speaker 2: I don't know, You're just gonna get where. It just

458
00:24:55,280 --> 00:24:57,360
Speaker 2: means that we said something might have been a joke

459
00:24:57,440 --> 00:24:57,960
Speaker 2: that was made.

460
00:24:58,680 --> 00:25:01,920
Speaker 1: Does anyone get excited when the phone rings and they're like, hey,

461
00:25:01,960 --> 00:25:05,200
Speaker 1: it's HR. You're like, oh no, Like there's nobody out

462
00:25:05,200 --> 00:25:07,280
Speaker 1: there listening to us right now. That's like I've been

463
00:25:07,320 --> 00:25:08,920
Speaker 1: waiting for this call. Thank the Lord.

464
00:25:09,040 --> 00:25:10,720
Speaker 2: I'm so so a little bit like when I get

465
00:25:10,760 --> 00:25:14,560
Speaker 2: my when I get a letter that says Internal Revenue

466
00:25:14,600 --> 00:25:17,440
Speaker 2: Service on it, I'm never like, oh sweet, I'm want

467
00:25:17,440 --> 00:25:21,240
Speaker 2: to open this one. So now I understand HR people

468
00:25:21,280 --> 00:25:23,800
Speaker 2: are probably all very annoyed with us right now and

469
00:25:23,800 --> 00:25:26,240
Speaker 2: would not hire us. But they would say, what about

470
00:25:26,240 --> 00:25:28,479
Speaker 2: when I have the amazing news of giving somebody their

471
00:25:28,560 --> 00:25:31,359
Speaker 2: dream job? And of course that is a This was

472
00:25:31,480 --> 00:25:33,760
Speaker 2: like what Clay the one the one season of high

473
00:25:33,760 --> 00:25:37,879
Speaker 2: school soccer I coached. The greatest thing was the joy

474
00:25:37,920 --> 00:25:39,880
Speaker 2: on the faces of the kids who wanted to make

475
00:25:39,920 --> 00:25:42,800
Speaker 2: the team so bad and were marginal who made it

476
00:25:42,800 --> 00:25:44,239
Speaker 2: that there we had. I had a couple of like

477
00:25:44,720 --> 00:25:46,840
Speaker 2: stuperstars who were going to go play in college. But

478
00:25:46,880 --> 00:25:48,520
Speaker 2: I had two or three. I was like, well, these

479
00:25:48,600 --> 00:25:50,399
Speaker 2: kids are you know, they're they're like better than I

480
00:25:50,480 --> 00:25:53,080
Speaker 2: ever was and they're freshmen. And then you know, there

481
00:25:53,080 --> 00:25:55,120
Speaker 2: were kids that were marginal. That was the greatest thing.

482
00:25:55,880 --> 00:25:57,760
Speaker 2: The worst thing was the kids who teared up when

483
00:25:57,800 --> 00:25:59,440
Speaker 2: they were close and didn't make it and I had

484
00:25:59,440 --> 00:26:01,000
Speaker 2: to tell them, you know what I mean. That's the

485
00:26:01,320 --> 00:26:03,879
Speaker 2: so HR cuts both ways, right because yeah, on the

486
00:26:03,880 --> 00:26:05,679
Speaker 2: one side you get to tell people dream job. The

487
00:26:05,720 --> 00:26:07,960
Speaker 2: other side it's I know this would have been a

488
00:26:07,960 --> 00:26:10,800
Speaker 2: life changing salary increase for you, but we anyway. So

489
00:26:11,600 --> 00:26:14,000
Speaker 2: I think though in HR and particularly you're seeing AI

490
00:26:14,280 --> 00:26:18,480
Speaker 2: is because it's large data sets, it's efficiency based, and

491
00:26:18,640 --> 00:26:20,800
Speaker 2: their AI is doing the job of a lot of

492
00:26:20,920 --> 00:26:22,919
Speaker 2: HR people right now. And that is our that is

493
00:26:23,080 --> 00:26:25,679
Speaker 2: written about. That is clear, that is happening. So what

494
00:26:25,840 --> 00:26:27,720
Speaker 2: is HR really going to be doing because it's just

495
00:26:27,760 --> 00:26:29,920
Speaker 2: gonna you're gonna set your parameters, I need X amount

496
00:26:29,960 --> 00:26:32,520
Speaker 2: of years of experience I need, you know, I'm gonna

497
00:26:32,520 --> 00:26:35,680
Speaker 2: look up, prioritize the following schools, et cetera, et cetera.

498
00:26:35,920 --> 00:26:37,760
Speaker 2: You can have somebody do this now with ten thousand

499
00:26:37,840 --> 00:26:41,000
Speaker 2: resumes and give you your top ten resumes in five minutes,

500
00:26:41,040 --> 00:26:44,400
Speaker 2: three minutes. I think that's one hundred percent right.

501
00:26:44,480 --> 00:26:47,359
Speaker 1: I also think there's just a lot of pause on

502
00:26:47,560 --> 00:26:50,960
Speaker 1: hiring on those jobs because companies are saying, wait a minute,

503
00:26:51,400 --> 00:26:54,480
Speaker 1: maybe we don't fill that opening that we have. Look,

504
00:26:54,600 --> 00:27:00,480
Speaker 1: and here is the Elon has come out recently and said, Hey,

505
00:27:00,520 --> 00:27:03,120
Speaker 1: we're rapidly advancing to a world I think he said

506
00:27:03,160 --> 00:27:05,879
Speaker 1: the other day where having a job will be like

507
00:27:06,040 --> 00:27:09,640
Speaker 1: growing your own produce. People can't choose to do it,

508
00:27:10,240 --> 00:27:12,600
Speaker 1: but it's not going to be the standard.

509
00:27:12,640 --> 00:27:12,840
Speaker 2: Now.

510
00:27:12,840 --> 00:27:15,920
Speaker 1: These are people who believe that AI is truly, over

511
00:27:15,960 --> 00:27:18,959
Speaker 1: the next ten to fifteen years, going to be transformative

512
00:27:19,000 --> 00:27:22,480
Speaker 1: in a way that frankly most of us can't even comprehend,

513
00:27:22,960 --> 00:27:25,480
Speaker 1: and that we're going to basically have to figure out

514
00:27:25,520 --> 00:27:30,240
Speaker 1: a way to reorient society without working being a huge

515
00:27:30,240 --> 00:27:34,600
Speaker 1: part of it. This is where I'm reminded of Neval,

516
00:27:35,240 --> 00:27:38,080
Speaker 1: who I've mentioned several times before on the show Silicon

517
00:27:38,160 --> 00:27:40,800
Speaker 1: Valley guy, founder of Angel List. It's been on a

518
00:27:40,880 --> 00:27:43,680
Speaker 1: lot of the big podcasts, and I just think is

519
00:27:43,680 --> 00:27:47,400
Speaker 1: a very interesting and sound thinker on things like this.

520
00:27:47,440 --> 00:27:51,480
Speaker 1: In particular, and he breaks this down Clay into wealth

521
00:27:51,640 --> 00:27:55,600
Speaker 1: versus status in society and wealth and I think you

522
00:27:55,760 --> 00:27:58,439
Speaker 1: very much take this approach in general, like this is

523
00:27:58,440 --> 00:28:00,439
Speaker 1: a part of your We talked to this who wo

524
00:28:00,520 --> 00:28:01,960
Speaker 1: and they're asking, what do you know about Claire?

525
00:28:02,000 --> 00:28:03,959
Speaker 2: What do you know about Buck? I think you believe

526
00:28:04,119 --> 00:28:06,800
Speaker 2: that there are ways that everybody can win and everybody

527
00:28:06,800 --> 00:28:09,720
Speaker 2: can be doing better. And that's true about wealth and

528
00:28:09,760 --> 00:28:13,919
Speaker 2: anybody who denies that all of you right now, who

529
00:28:13,960 --> 00:28:17,480
Speaker 2: are who are driving around in your car with your

530
00:28:18,359 --> 00:28:21,840
Speaker 2: you know, your Venti Starbucks hopefully your Crockett Coffee actually,

531
00:28:22,200 --> 00:28:26,560
Speaker 2: but in your heated seats, with your air bags, on

532
00:28:26,600 --> 00:28:30,200
Speaker 2: your iPhone everything else. You are living in a space

533
00:28:30,280 --> 00:28:35,800
Speaker 2: age unimaginable future of wealth compared to what King Henry

534
00:28:35,880 --> 00:28:39,840
Speaker 2: the Eighth, like the actual king would have had, right you,

535
00:28:39,840 --> 00:28:42,360
Speaker 2: your health of us that live better now than the

536
00:28:42,400 --> 00:28:45,600
Speaker 2: wealthiest people did two hundred years ago. Yes, basically, your

537
00:28:45,720 --> 00:28:48,760
Speaker 2: your healthcare is better, your food is better, your your

538
00:28:48,760 --> 00:28:51,720
Speaker 2: comfort is better. Your bed got to get those sheets

539
00:28:51,760 --> 00:28:56,680
Speaker 2: from you know what I'm talking about, Cozy Earth. You

540
00:28:56,680 --> 00:28:59,040
Speaker 2: know he was robust. You didn't have Cozy Earth sheets

541
00:28:59,840 --> 00:29:03,640
Speaker 2: you got you have incredible wealth status is I'm in

542
00:29:03,680 --> 00:29:06,480
Speaker 2: a better place than you. Status is how do I

543
00:29:06,520 --> 00:29:09,080
Speaker 2: stack up to him or her? Right? Status is a

544
00:29:09,120 --> 00:29:12,160
Speaker 2: different thing, And he says that people should always separate

545
00:29:12,200 --> 00:29:14,240
Speaker 2: those in their minds. And when you're talking about AI,

546
00:29:15,000 --> 00:29:17,880
Speaker 2: you're talking about what should be able to be widely

547
00:29:17,920 --> 00:29:25,440
Speaker 2: distributed increases on of societal and global wealth along the

548
00:29:25,440 --> 00:29:28,320
Speaker 2: lines of what we're talking about, which is everybody has more.

549
00:29:28,800 --> 00:29:30,920
Speaker 2: But it might get to the point where everybody has

550
00:29:31,000 --> 00:29:34,320
Speaker 2: so much more that people start to hyper focus on

551
00:29:34,960 --> 00:29:37,600
Speaker 2: what somebody next to them has instead of what they have.

552
00:29:38,480 --> 00:29:41,200
Speaker 2: And this is where you get into whether people will

553
00:29:41,240 --> 00:29:44,240
Speaker 2: be happy, whether people will be fulfilled by these things?

554
00:29:44,440 --> 00:29:47,360
Speaker 2: Will will you really be fulfilled? If you have I

555
00:29:47,360 --> 00:29:50,000
Speaker 2: don't remember the name of the robotic made from the Jetsons,

556
00:29:50,200 --> 00:29:53,680
Speaker 2: but cleaning up everything grow, thank you Rosie making your food,

557
00:29:54,040 --> 00:29:57,360
Speaker 2: cleaning up everything, You're still gonna have wants and needs

558
00:29:57,360 --> 00:29:59,360
Speaker 2: as a human being. You know you're still you know

559
00:29:59,400 --> 00:30:01,440
Speaker 2: this is this this by the way, Clay, I also think,

560
00:30:02,000 --> 00:30:03,680
Speaker 2: and I put myself this category two. A lot of

561
00:30:03,680 --> 00:30:06,800
Speaker 2: people have really earnestly gone back to their faith and

562
00:30:06,840 --> 00:30:09,400
Speaker 2: gone back to church in recent years because I think

563
00:30:09,440 --> 00:30:13,760
Speaker 2: they see you now chasing the material things. Material things

564
00:30:13,760 --> 00:30:16,560
Speaker 2: may get really boring soon because everyone's going to have

565
00:30:16,600 --> 00:30:19,680
Speaker 2: their material needs met. Yeah.

566
00:30:19,720 --> 00:30:22,600
Speaker 1: And for Christy who called in keep your head up.

567
00:30:24,160 --> 00:30:28,320
Speaker 1: I've been fired multiple times. I've lost my jobs multiple times.

568
00:30:28,800 --> 00:30:31,640
Speaker 1: I know how stressful that entire process is. I know

569
00:30:31,680 --> 00:30:33,880
Speaker 1: there are lots of you out there in this camp,

570
00:30:34,480 --> 00:30:37,560
Speaker 1: and we hope again that you're going to find employment,

571
00:30:37,600 --> 00:30:39,240
Speaker 1: and all of you are going to find employment sooner

572
00:30:39,320 --> 00:30:42,479
Speaker 1: rather than later. I do think at a big picture

573
00:30:43,000 --> 00:30:46,840
Speaker 1: part of what's going on is AI disruption that is

574
00:30:46,880 --> 00:30:49,920
Speaker 1: starting to work its way through the economy. And frankly,

575
00:30:50,680 --> 00:30:54,480
Speaker 1: I'm not smart enough to understand exactly what the full

576
00:30:54,560 --> 00:30:56,959
Speaker 1: on ramifications of this are going to be, but some

577
00:30:57,040 --> 00:31:00,240
Speaker 1: of the smartest people in the world believe at the

578
00:31:00,280 --> 00:31:02,760
Speaker 1: next decade is going to be transformative on a level

579
00:31:02,800 --> 00:31:05,280
Speaker 1: we may not even be able to comprehend right now.

580
00:31:05,680 --> 00:31:08,840
Speaker 2: Yeah, it may make the Internet look like small potatoes

581
00:31:08,880 --> 00:31:10,960
Speaker 2: by comparison. Just one thing I would say for anyone

582
00:31:11,000 --> 00:31:13,680
Speaker 2: who's listening who's having trouble finding a job. In my

583
00:31:13,920 --> 00:31:17,400
Speaker 2: experience and I've had I've had very different kinds of career,

584
00:31:17,480 --> 00:31:20,360
Speaker 2: two very different careers really and looked I've worked in

585
00:31:20,360 --> 00:31:22,400
Speaker 2: different kinds of things, so is Clay and Clay started

586
00:31:22,440 --> 00:31:28,360
Speaker 2: companies especially now, don't just rely on blind resumes. If

587
00:31:28,360 --> 00:31:29,960
Speaker 2: you want to send those in, that's fine, you know,

588
00:31:30,040 --> 00:31:32,760
Speaker 2: send them into that inbox. It could work. It could work.

589
00:31:33,400 --> 00:31:37,200
Speaker 2: Talk to people, and I really mean that. You know,

590
00:31:37,240 --> 00:31:39,600
Speaker 2: you're you're at a car dealership that seems like it's

591
00:31:39,600 --> 00:31:42,160
Speaker 2: just really really well run, and you think you'd be

592
00:31:42,200 --> 00:31:46,080
Speaker 2: good in sales. Talk to them. Yeah, just just start.

593
00:31:46,240 --> 00:31:47,760
Speaker 2: You don't have to be like, hey, I want a job.

594
00:31:47,920 --> 00:31:51,239
Speaker 2: Just start, you know, start gathering that information, creating that

595
00:31:51,280 --> 00:31:54,480
Speaker 2: contact with people. I think this is true for a

596
00:31:54,520 --> 00:31:56,960
Speaker 2: whole range of things, but for finding a job. People

597
00:31:57,000 --> 00:32:00,240
Speaker 2: get jobs from other people. You actually don't at a

598
00:32:00,320 --> 00:32:03,000
Speaker 2: job from an email inbox. Always remember that.

599
00:32:04,480 --> 00:32:06,719
Speaker 1: I've got a winner. Let's go into the weekend on

600
00:32:06,760 --> 00:32:09,800
Speaker 1: some good vibes. I got good vibes for all of you.

601
00:32:10,280 --> 00:32:15,280
Speaker 1: Pricepicks dot Com, code Clay fifty dollars when you play

602
00:32:15,320 --> 00:32:18,760
Speaker 1: five dollars. Each of these guys is throwing a touchdown pass.

603
00:32:19,200 --> 00:32:25,000
Speaker 1: Jackson Dart, Caleb Williams, Mac Jones, CJ. Stroud, all starting

604
00:32:25,080 --> 00:32:29,880
Speaker 1: quarterbacks in the NFL. All more on touchdowns more than

605
00:32:29,960 --> 00:32:33,800
Speaker 1: one half touchdown pass. If they hit that is a

606
00:32:33,880 --> 00:32:37,800
Speaker 1: two point two hit er, which means if you put

607
00:32:37,880 --> 00:32:40,440
Speaker 1: down ten dollars, you get back twenty two. You put

608
00:32:40,480 --> 00:32:42,640
Speaker 1: down one hundred, you get back two hundred and twenty.

609
00:32:42,920 --> 00:32:47,160
Speaker 1: We're going for our fifth win of the season. We've

610
00:32:47,200 --> 00:32:50,120
Speaker 1: won more than half so far. Let's keep the mojo going.

611
00:32:50,480 --> 00:32:54,600
Speaker 1: Jackson Dart, Caleb Williams, Mac Jones, CJ Stroud. They tweeted

612
00:32:54,640 --> 00:32:57,440
Speaker 1: this out from the Clay and Buck account, So if

613
00:32:57,480 --> 00:32:59,560
Speaker 1: you just want to see that and you want to

614
00:32:59,560 --> 00:33:02,320
Speaker 1: make sure that you're playing along with us, it is

615
00:33:02,480 --> 00:33:05,280
Speaker 1: up at Clay and Buck on the Twitter account. I'm

616
00:33:05,280 --> 00:33:08,360
Speaker 1: sure it's up at clayanbuck dot com as well. And again,

617
00:33:08,480 --> 00:33:10,640
Speaker 1: you can play in California, you can play in Texas,

618
00:33:10,680 --> 00:33:14,200
Speaker 1: you can play in Florida, Georgia, Tennessee. All over the

619
00:33:14,240 --> 00:33:18,680
Speaker 1: country forty plus states, thirteen million players, pricepicks dot Com,

620
00:33:18,720 --> 00:33:23,960
Speaker 1: code Clay Cheep up with the biggest political comeback in

621
00:33:24,040 --> 00:33:27,760
Speaker 1: world history. On the Team forty seven podcast, Clay and

622
00:33:27,800 --> 00:33:29,920
Speaker 1: Buck highlight Trump free plays from.

623
00:33:29,720 --> 00:33:31,600
Speaker 2: The week Sunday's at noon Eastern.

624
00:33:31,720 --> 00:33:34,800
Speaker 1: Find it on the iHeartRadio app or wherever you get

625
00:33:34,840 --> 00:33:35,760
Speaker 1: your podcasts.

626
00:33:36,320 --> 00:33:38,560
Speaker 2: All right, we're closing up shop for the weekend. On

627
00:33:38,880 --> 00:33:40,760
Speaker 2: play in Buck. Great time to tell you about the

628
00:33:40,800 --> 00:33:43,040
Speaker 2: podcast network because you can listen on demand to it.

629
00:33:43,080 --> 00:33:45,760
Speaker 2: Download that iHeartRadio app. It is the best app for

630
00:33:45,800 --> 00:33:48,800
Speaker 2: your audio needs across the board. But the Clay and

631
00:33:48,880 --> 00:33:51,760
Speaker 2: Buck page there. Subscribe and you'll see in that feed

632
00:33:51,840 --> 00:33:54,520
Speaker 2: all kinds of great stuff. Dave Brother for Tutor Dixon,

633
00:33:55,000 --> 00:33:59,560
Speaker 2: Carol Markowitz. It's a numbers game with Ryan Gardusky if

634
00:33:59,560 --> 00:34:01,880
Speaker 2: you want to nerd out on the political data and stats.

635
00:34:02,320 --> 00:34:06,120
Speaker 2: Lots and lots of good stuff. Speaking of nerding out, Clay,

636
00:34:07,040 --> 00:34:09,360
Speaker 2: there are some unhappy people when it comes to your

637
00:34:09,440 --> 00:34:10,040
Speaker 2: music takes.

638
00:34:10,239 --> 00:34:13,560
Speaker 1: I know this is one hundred percent justified. I don't

639
00:34:13,600 --> 00:34:16,279
Speaker 1: know anything about music, and all of you who are

640
00:34:16,280 --> 00:34:18,399
Speaker 1: about to tee off on me that Buck is gonna play.

641
00:34:18,520 --> 00:34:21,080
Speaker 2: I deserve it all. I'm just gonna take my beating. Hey,

642
00:34:21,120 --> 00:34:24,080
Speaker 2: we got gg Let's go Gigi first, Tampa Todd, he

643
00:34:24,600 --> 00:34:27,800
Speaker 2: calls us. Let's hear it, Hey, play, let's take the sports.

644
00:34:28,040 --> 00:34:31,120
Speaker 2: Let Buck talk about the music of the eighties.

645
00:34:31,280 --> 00:34:32,200
Speaker 7: Listen, it's real simple.

646
00:34:32,200 --> 00:34:33,680
Speaker 2: There's a lot of great music in the eighties.

647
00:34:33,680 --> 00:34:36,040
Speaker 7: The eighties might be the greatest music decade next to

648
00:34:36,120 --> 00:34:39,799
Speaker 7: the seventies of all time. But the greatest song is

649
00:34:40,080 --> 00:34:44,040
Speaker 7: Toto's Africa. Africa by Toto. Every time I hear it

650
00:34:44,080 --> 00:34:48,440
Speaker 7: on the radio station, I just smile. It's a great song, Solids.

651
00:34:48,640 --> 00:34:49,719
Speaker 7: I put it in top ten.

652
00:34:49,840 --> 00:34:51,799
Speaker 2: Play is gonna just I think he'll defer because I'm

653
00:34:51,800 --> 00:34:55,480
Speaker 2: not even sure he knows Toto from Africa. It's not

654
00:34:55,520 --> 00:34:59,440
Speaker 2: gonna take a lot to drag play away from Toto.

655
00:35:00,400 --> 00:35:03,480
Speaker 2: We have aa a little heat for me. Chris from

656
00:35:03,520 --> 00:35:05,799
Speaker 2: tamp another Tampa listener. What's going on? Let's play it

657
00:35:05,880 --> 00:35:06,400
Speaker 2: all right.

658
00:35:06,360 --> 00:35:09,040
Speaker 8: Mister sext and they're traveling for the week's over with

659
00:35:09,960 --> 00:35:16,160
Speaker 8: got a beautiful Florida weather weekend coming up. No excuses,

660
00:35:16,880 --> 00:35:21,239
Speaker 8: no sausage handling until the task is done. We don't

661
00:35:21,239 --> 00:35:25,000
Speaker 8: want to damage a rotator cup. Let's get that racket out.

662
00:35:25,320 --> 00:35:28,000
Speaker 8: Let's get that one hundred. Let's get a YouTube video

663
00:35:28,600 --> 00:35:32,600
Speaker 8: ripping the shirt off with the speed camera saying one hundred.

664
00:35:34,160 --> 00:35:38,280
Speaker 2: I mean, Chris, is a great call. Chris, you got me, buddy,

665
00:35:38,320 --> 00:35:41,240
Speaker 2: you got me cornered. I'm gonna play some tennis on Sunday.

666
00:35:41,280 --> 00:35:44,000
Speaker 2: I'm gonna take out the new and improved speed Gun

667
00:35:44,080 --> 00:35:45,600
Speaker 2: and we're gonna see what we can do. All right,

668
00:35:45,640 --> 00:35:47,880
Speaker 2: I'm gonna try to make this happen. We're going to

669
00:35:47,920 --> 00:35:50,040
Speaker 2: one hundred boys, one way or another. We're getting to

670
00:35:50,080 --> 00:35:52,880
Speaker 2: one hundred. Let's get to a bunch of these really fast.

671
00:35:53,320 --> 00:35:56,520
Speaker 1: This is JJ James in Nashville fifteen ten ninety eight

672
00:35:56,560 --> 00:35:57,920
Speaker 1: to three, my hometown.

673
00:35:57,920 --> 00:35:58,480
Speaker 2: What's he say?

674
00:35:58,960 --> 00:36:01,319
Speaker 9: How could you not pick I of the Tiger for

675
00:36:01,400 --> 00:36:03,600
Speaker 9: one of the greatest songs of the eighties.

676
00:36:04,000 --> 00:36:06,480
Speaker 2: The great one? Also a top ten for me, also

677
00:36:06,520 --> 00:36:07,160
Speaker 2: a top ten.

678
00:36:07,800 --> 00:36:07,960
Speaker 4: Uh.

679
00:36:08,239 --> 00:36:10,800
Speaker 2: Let's see Michael from Florida.

680
00:36:10,800 --> 00:36:19,200
Speaker 9: Ll playing Buck I have You're both wrong? It's danger

681
00:36:19,360 --> 00:36:21,440
Speaker 9: Zone from the Top Gun soundtrack.

682
00:36:21,719 --> 00:36:25,879
Speaker 2: Is the best song from the eighties. It's a good one.

683
00:36:26,040 --> 00:36:27,400
Speaker 2: It's a good one. It's very good one.

684
00:36:27,400 --> 00:36:30,520
Speaker 1: It's hard not to be nodding along qq Bob in Chicago.

685
00:36:30,800 --> 00:36:32,960
Speaker 2: This may be the one I should have picked. Play

686
00:36:32,960 --> 00:36:45,440
Speaker 2: it qq qq oh, Well, he says, Journey by uh oh,

687
00:36:45,480 --> 00:36:48,279
Speaker 2: don't stop believing, rather by Journey. That's very That's a

688
00:36:48,360 --> 00:36:50,879
Speaker 2: top three for me. That that was right up alongside

689
00:36:50,880 --> 00:36:54,120
Speaker 2: my number one. That is a great one. We love

690
00:36:54,200 --> 00:36:54,640
Speaker 2: all of you.

691
00:36:54,719 --> 00:36:57,839
Speaker 1: We'll be back with you on Monday, have fantastic weekends.

692
00:36:57,920 --> 00:36:58,759
Speaker 2: See you then