Latest / Best of Business / Amanda Morrall: Does AI play a role in personal finance?

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Amanda Morrall: Does AI play a role in personal finance? · Best of Business

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Speaker 1: You're listening to a podcast from News Talks B follow
0:12
Speaker 1: this and our wide range of podcasts now on iHeartRadio.
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Speaker 2: We want your calls, we want you to join the conversation,
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Speaker 2: and what we're going to talk about is, well, look,
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Speaker 2: how often I wondered, do we say AI, there's AI?
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Speaker 2: This AI that AI is all over the place, and
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Speaker 2: whether you use it actively or whether you just have
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Speaker 2: a look at our ask chat GPT for that or
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Speaker 2: ask Claude or whatever, it is becoming more frequent, and
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Speaker 2: so what role does could, would should play when it
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Speaker 2: comes to you managing your personal finance. The idea of
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Speaker 2: talking about this some topic actually has come from our guest,
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Speaker 2: who I'm going to induce in just a moment, even
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Speaker 2: though if you've been listening you know who it is.
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Speaker 2: And I thought when she first put this on the
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Speaker 2: slate for conversation, I was thinking, I wonder if she's
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Speaker 2: going to say it's good or it's bad, or it's
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Speaker 2: you know, it's something you've got to be wary of it,
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Speaker 2: because I think we are innately wary of new technology,
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Speaker 2: aren't we. I trust it when it comes to hey
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Speaker 2: Chat GPT, I'll just say this is the result I'm
1:18
Speaker 2: cooking tonight, give me some ideas for some other variations,
1:21
Speaker 2: and it gives me these brilliant recipes. And I cooked
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Speaker 2: a killer Prauden risotto the other day which was like
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Speaker 2: restaurant quality, absolutely delicious. So you know, if I trust
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Speaker 2: it with what I'm sticking on the table, what about
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Speaker 2: personal finances anyway? Would you trust AI with regard to
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Speaker 2: you organizing, managing, making decisions around personal finances? Because the
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Speaker 2: other side of the coin is what about recommendations on investments?
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Speaker 2: Well that's a different cup of tea. But maybe they're
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Speaker 2: doing the maths anyway. Guess what, there's so many angles
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Speaker 2: for this that Oh, look, it's time for me to
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Speaker 2: stop talking and say hello to oh. By the way,
2:00
Speaker 2: as you know, and in the hours that follow we're
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Speaker 2: going to be doing Tim Roxborough, Frank and Jack's are
2:05
Speaker 2: going to be doing some talk about the one hundred
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Speaker 2: years of z b Amanda Morale has not been with
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Speaker 2: us for a hundred years, but she's been with us
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Speaker 2: for around five percent of that time, I think, which
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Speaker 2: would be five years. How long? What's how long have
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Speaker 2: you been coming into Z It sound ancient five years ago.
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Speaker 3: It's been at least five years as a guest, because
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Speaker 3: I do remember some COVID years there.
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Speaker 2: Oh, so when did you start?
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Speaker 3: I think it was twenty twenty, so it's coming out
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Speaker 3: six six seven. It's been a while, but I'm not
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Speaker 3: one hundred, so seven.
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Speaker 2: Percent sounds a good number. No, no, you.
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Speaker 3: Were It feels like yesterday.
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Speaker 2: You're a sprightly Oh no, Now, I'm not going to
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Speaker 2: go into descriptions of my guess it's like Carl hr
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Speaker 2: Hey anyway, lovely to see you. By the way, have
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Speaker 2: you got any Do you remember the first time you
2:52
Speaker 2: came on, heir? Were you nervous?
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Speaker 3: Well, there's been a few incarnations of the Tames running
2:56
Speaker 3: this show. In the first instance, it was two other
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Speaker 3: tames that weren't you, and then you and another time
3:03
Speaker 3: in Roxboro, and then you got rid of the other times.
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Speaker 3: So I'm not going to us where they are.
3:08
Speaker 4: And then.
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Speaker 3: Running the show, I don't know what happened there. You
3:14
Speaker 3: were determined to get into first places.
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Speaker 2: I think z B just had a policy. It's like
3:20
Speaker 2: remember Henry Ford said, you can have any color car
3:23
Speaker 2: you want us as long as it's black. Well, I
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Speaker 2: think z B had a policy we can have anyone
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Speaker 2: can host this show as long as their name is Tim,
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Speaker 2: and it makes it easy for the guests. It's like
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Speaker 2: who are they just call them Tim. It's like Bob
3:35
Speaker 2: or something that black episode. Hello Bob anyway, Nice to
3:39
Speaker 2: have you back again.
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Speaker 3: Great to be here.
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Speaker 2: Hey, Ai, I thought you were going to be maybe
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Speaker 2: pooh poop, not pooh pooy, but a cautionary note. But
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Speaker 2: then I thought about it. I thought, actually, with regards
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Speaker 2: to the maths and the calculations and working out different
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Speaker 2: ideas and all sorts of things and suggestions, I don't
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Speaker 2: know where are you? What are you reckon? Ai?
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Speaker 3: Well, I think my partner's commands are going to be
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Speaker 3: running off with some GPT avatar any day now, because
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Speaker 3: I do spend a lot of time. It's getting to
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Speaker 3: know chat GEPT and drilling out and everything, like you said,
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Speaker 3: from cooking to how to change a light bulb or
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Speaker 3: fix a leaky sink, and on the financial front, it's great.
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Speaker 3: So I probably wouldn't have said that about five years ago.
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Speaker 3: But as I've got more comfortable and understand, you know,
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Speaker 3: the nuances and the prompts and how to structure it,
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Speaker 3: I think it's a fantastic tool. Imperfect, but a fantastic
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Speaker 3: tool for personal finance, particularly for people who are This
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Speaker 3: is the biggest thing I come across with people in
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Speaker 3: personal finance. They don't want to ask something that they
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Speaker 3: feel will make them sound stupid or they don't understand.
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Speaker 3: So it cuts through all that self doubt. You can
4:55
Speaker 3: ask it anything right without feeling like a fool, and
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Speaker 3: it's a really good place to start.
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Speaker 2: Actually, actually, that is one of the things about chat
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Speaker 2: GPT is you can I mean to me, honest of
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Speaker 2: is that a policy, even on air, in front and
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Speaker 2: listening with thousands of people listening. I'm not afraid of
5:13
Speaker 2: asking a dumb question. I like to think of that
5:15
Speaker 2: as a superpower.
5:16
Speaker 3: That's sort of a golden rule of journalism, and that's
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Speaker 3: what we learn too and.
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Speaker 2: It's actually the key to creativity, not being afraid to
5:21
Speaker 2: be wrong. But that is something which everyone can discover,
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Speaker 2: no matter how afraid you are, because when you're asking check,
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Speaker 2: I wonder how many people are shy of asking che
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Speaker 2: GPT a dumb question.
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Speaker 3: And Chat's never going to make you feel like an idiot.
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Speaker 3: In fact that the opposite is true. It'll encourage you.
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Speaker 3: And so I think again, because there's no sort of
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Speaker 3: judgment there that you can get rid of those psychological
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Speaker 3: barriers that would otherwise hold a lot of people back
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Speaker 3: from asking questions, whether it's to do with budgeting or
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Speaker 3: investing or getting started, and you know, so it takes
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Speaker 3: away the shame that people might feel on the personal
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Speaker 3: pind of tent. And then there's some very very powerful
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Speaker 3: things you can do with that, very very quickly, and
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Speaker 3: for free in many instances.
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Speaker 2: Or for very little even if you want to pay
6:03
Speaker 2: for it. It's just you know, it's a hell of
6:05
Speaker 2: a lot cheaper than a gym. It's about cheaper than
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Speaker 2: a gym subscription, although you don't want to give up
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Speaker 2: that just to go and chat GPT because the one
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Speaker 2: caveat I worry about with so, for instance, I think
6:17
Speaker 2: when it comes to doing calculations, if you give it
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Speaker 2: the right information, I think it's probably My guess is
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Speaker 2: it might be an incredibly powerful tool. But when people
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Speaker 2: think of personal finances, they also think about decisions around
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Speaker 2: buying particular stocks and shares, and that's where I sort
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Speaker 2: of think, I'm not sure it would be that helpful
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Speaker 2: in that respect. On water cooler talk around or you
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Speaker 2: better buy the stock it's going to go off.
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Speaker 3: Well, it's relying on human based data. So again it
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Speaker 3: is imperfect, and I've read about many examples where people
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Speaker 3: have made there's more advanced tools available on the paid
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Speaker 3: version of GPT and probably Clyde for American audiences. We're
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Speaker 3: not there yet in New Zealand, and there are cases
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Speaker 3: of people asking it about restructure reportfolio, what would you
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Speaker 3: take out and getting the timing wrong on certain stocks.
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Speaker 3: You know you'd have to be careful there, but you know,
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Speaker 3: if you're wanting to do some basic analysis, if you're
7:13
Speaker 3: you know, decide to become a stock picker, and I
7:15
Speaker 3: think there's a lot of steps you need to go
7:17
Speaker 3: through before you can think about doing that. But you
7:20
Speaker 3: get the research there right, so you can really speed up.
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Speaker 2: If you wanted to ask about a particular industry.
7:27
Speaker 3: And exactly what is this? You know what are their
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Speaker 3: underlying investments, and you know who's been in charge and
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Speaker 3: what's your strategy and you know all all those kind
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Speaker 3: of things, so it can it can cut through a
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Speaker 3: lot of research it would have other been very time
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Speaker 3: consuming on old style Google searches, or if you take
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Speaker 3: it back to our day, you know, in the primary
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Speaker 3: stages and journalism twenty years ago, well even further afield
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Speaker 3: where you're looking at news, you know, really basic stuff.
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Speaker 3: It took a lot of.
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Speaker 2: Time to do your research.
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Speaker 3: Now, it's that's what's impressed me the most is the
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Speaker 3: speed at which it can gather this thing. But you
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Speaker 3: have to treat it like it's an imperfect tool though, right,
8:06
Speaker 3: so it might get the first cut for you, but
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Speaker 3: you know, you got to do some weeding, some further questioning,
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Speaker 3: and it really does the strength of it realized and
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Speaker 3: the types of questions you ask of it too, So
8:17
Speaker 3: you do.
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Speaker 2: And it can some knowledge there. It can get things wrong,
8:20
Speaker 2: and I've actually I think that's the other thing. You
8:23
Speaker 2: need to my own observations of it. You have to
8:26
Speaker 2: you can't just accept it without being aware that it
8:29
Speaker 2: might have made a mistake. For instance, I hallucination, Yeah,
8:32
Speaker 2: and there was something that even I can't know what
8:34
Speaker 2: it was recently. But the prominent example, and I've talked
8:37
Speaker 2: about this before, was I needed I wanted to get
8:39
Speaker 2: some information on Bridget Bardou because she died and you know,
8:43
Speaker 2: the famous and controversial sort of activist in her later
8:47
Speaker 2: life and I just said to it, I need some
8:51
Speaker 2: information on Bridget Bardo, and I might have asked how
8:53
Speaker 2: she died or something. He goes, no, no, Bridget Bardo is
8:55
Speaker 2: still alive. And I said, no, no, Bridget Bardo has died.
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Speaker 2: She's recently deceased such and such, and it goes no,
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Speaker 2: Tim it caught me, Tom, It goes no, it says
9:05
Speaker 2: such and such. I'm sticking with she's dead. And then
9:08
Speaker 2: I only find me went back and said, you need
9:10
Speaker 2: to update your databases because she died about forty eight
9:13
Speaker 2: hours ago or something, and it goes You're right to
9:16
Speaker 2: correct me on that. I've checked and such and such
9:18
Speaker 2: and then again, but I had to do that, so
9:20
Speaker 2: it's it's fallible.
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Speaker 3: Oh absolutely, So people need to be cautious about it.
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Speaker 3: I wouldn't be, you know, banking your whole retirement future
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Speaker 3: on you know, a series of questions you've asked. But
9:31
Speaker 3: one of the new things that open ai is launched
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Speaker 3: again for US users is a financi a dedicated personal
9:40
Speaker 3: financial kind of program where you can apply all these
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Speaker 3: inputs and it actually does have connection points, so kind
9:47
Speaker 3: of in a manner like we have open banking here
9:49
Speaker 3: and say you went to. We have an outfit called
9:52
Speaker 3: sort me here that pulls in all your banking feeds,
9:55
Speaker 3: your credit card debts, your Kiwi savers. It gives you
9:59
Speaker 3: a big dashboard picture of where you're at. Yeah, you
10:02
Speaker 3: can do the same thing using again this for this
10:06
Speaker 3: financial program that they're launched, so you have a big
10:10
Speaker 3: holistic picture of your net wealth, your outgoings, your investments,
10:15
Speaker 3: and then it will be able to kind of guide
10:17
Speaker 3: you into what you can be doing better. What I'm
10:20
Speaker 3: surprised about is that how long? And I'll be really
10:25
Speaker 3: interested in which bank acts first here to provide better
10:29
Speaker 3: tools for daily banking, use to help people get a
10:34
Speaker 3: better hold of their finances with what they've got. Right,
10:38
Speaker 3: Because the banks own most of your.
10:40
Speaker 2: Information, it's sort of not I'm always a bit funny
10:43
Speaker 2: about this one. I'm not. But technically banks make their
10:47
Speaker 2: money from you borrowing from them for as long as possible.
10:51
Speaker 3: It's not in their best interest to tell you how
10:53
Speaker 3: to pay your mortgage off.
10:54
Speaker 2: And yeah, and yet are we getting to an age
10:57
Speaker 2: where banks realize, actually, we're going to get more customers
10:59
Speaker 2: if they trust us to give them good advice. And
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Speaker 2: I think we're moving in that direction because maybe AI
11:05
Speaker 2: is as well.
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Speaker 3: I don't know it's happening, So I think you'd be
11:08
Speaker 3: an ostriche to think it's not going to happen. And
11:10
Speaker 3: you're going to establish a hell of a lot of
11:12
Speaker 3: good will with your clients, I would think to provide
11:15
Speaker 3: them with tools to manage their wealth better and so
11:19
Speaker 3: they get out of debt faster. Well, you get out
11:21
Speaker 3: of debt faster, what are you going to do with
11:23
Speaker 3: your money? You invest it? Banks also investments, so you.
11:26
Speaker 2: Know it's a different flywheel. There's one on data for
11:31
Speaker 2: as long as possible and cream cream out as much
11:33
Speaker 2: as possible.
11:34
Speaker 3: But when you look at what is out there, you
11:36
Speaker 3: know New Zealand banks seem like dinosaurs by comparison. So
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Speaker 3: I'll be very interested to watch that space to see
11:42
Speaker 3: what sort of evolutions occur whereby you're actually going to
11:45
Speaker 3: get fed or prompted some useful tips to manage your
11:49
Speaker 3: finances better on that Interestingly enough, sorted dot org, you
11:54
Speaker 3: might have heard last week launched a new app using
11:59
Speaker 3: some tech from tech startup in New Zeale, Echo Who
12:02
Speaker 3: to help people get an emergency savings fund established earlier.
12:06
Speaker 3: So it's the ideas to download this up, you plug
12:09
Speaker 3: in a few things with your bank, and it's going
12:11
Speaker 3: to help you get to a position of getting aff
12:14
Speaker 3: because a lot of news rangers do not have a
12:16
Speaker 3: thousand bucks in their bank if they need to rely
12:20
Speaker 3: on it tomorrow live frightening number. So there's this, you know,
12:23
Speaker 3: innovation that's come on stream, which is great for you know,
12:27
Speaker 3: a whole number of people, university students, high school students,
12:30
Speaker 3: et cetera.
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Speaker 2: Hey, we want your calls on this. Actually, the AI,
12:34
Speaker 2: lots of things are questions around this. Do you use
12:36
Speaker 2: it to an analyze? Would you? Will?
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Speaker 3: You?
12:39
Speaker 2: Do?
12:39
Speaker 5: You?
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Speaker 2: Should? You? Could?
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Speaker 3: You?
12:41
Speaker 2: All those verbs use it for AI. But also the
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Speaker 2: big question is would you be comfortable putting all your
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Speaker 2: financial information into AI? Do you have a trust issue
12:52
Speaker 2: with it and worrying about that?
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Speaker 4: Oh?
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Speaker 2: If I put this in, then it's going to know
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Speaker 2: this about me. I mean I don't. I'm quite happy
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Speaker 2: I pay for a vision of chat GPT where it
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Speaker 2: does know certain things about me, which suits me because
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Speaker 2: it knows how, it knows the sort of way I
13:06
Speaker 2: think and the sort of answers I'm after that. But
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Speaker 2: what about telling it how much you've got saved and
13:11
Speaker 2: what your mortgagees and what your payers and your account members.
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Speaker 3: Yeah, so if you're uploading all your statements with your
13:18
Speaker 3: personal details, would be a bit cautious about that.
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Speaker 2: I would be nervous that.
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Speaker 3: Yeah, so I think again there's good reason to be
13:25
Speaker 3: prudent and cautious about giving everything over, you know, at
13:29
Speaker 3: this stage. Anyhow, I would.
13:30
Speaker 2: Definitely not your pin numbers. By the way, we're just
13:33
Speaker 2: going to put pens and passwords. Don't take anything you
13:35
Speaker 2: hear this hour as advising you to give away that.
13:38
Speaker 3: Especially with data hacks and whatnot, and the thing you've
13:42
Speaker 3: probably established your personal relationship with chat or whoever. But
13:46
Speaker 3: as you'll know, they record your history, so every time
13:48
Speaker 3: you're interacting, they'll, you know, where it's relevant, bring back
13:53
Speaker 3: the previous conversation you've had, and you know again it's.
13:57
Speaker 2: Like being married. They remember everything you've seen. It's like
13:59
Speaker 2: what hang on anyway, Hey, look, we're going to take
14:03
Speaker 2: some calls on this and we'll go right now. But
14:06
Speaker 2: if you're listening, this is the time to get on
14:08
Speaker 2: the blow. AI. Will you use it? Do you like
14:13
Speaker 2: the idea of using this. We're going to talk about
14:15
Speaker 2: that a bit more, but Johnny, what do you reckon?
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Speaker 4: Oh, good evening. I've been using the platforms came out,
14:22
Speaker 4: both the free and the plus version I have. I
14:27
Speaker 4: have questioned it numerous times about information sharing, where it
14:31
Speaker 4: goes to third parties, five eyes, all that sort of stuff,
14:38
Speaker 4: and it's it's pretty vague. When it comes to that,
14:42
Speaker 4: it sort of shuts down. There's one way to shut
14:44
Speaker 4: it up. I use it in voice spoke quite a
14:47
Speaker 4: lot and it gives me a lot of answers. I've
14:52
Speaker 4: got a few trucks. I recently pulled one at auction
14:55
Speaker 4: from that big company with the great ads, and when
14:59
Speaker 4: I went welling to pick it up, it was a
15:01
Speaker 4: steaming turn and I used GPT to make the company
15:07
Speaker 4: buy it back off me, will give me my money back.
15:09
Speaker 2: How did you do that? Did you just get it
15:11
Speaker 2: to frame a nasty letter from a dissatisfied customer.
15:15
Speaker 4: I showed them the certificate fitness failure form, and then
15:20
Speaker 4: I got chat GPT to run it's advertisement or advertisements
15:24
Speaker 4: right next to the failure form and pointing out all
15:27
Speaker 4: the consistencies, sandmitizing. You used that for one page ad
15:32
Speaker 4: in the Herald, So you used it.
15:34
Speaker 2: Like an analysis tool of saying this is what I shafted.
15:38
Speaker 4: Yep, same as the al the the automotive garage that
15:42
Speaker 4: charged me a thousand dollars to change the Stardo motor.
15:45
Speaker 4: It's only got three or four bolts in the truck
15:48
Speaker 4: and he charged me four hours labor to take it out.
15:51
Speaker 4: My chat CHPT said, go back and ask for the
15:54
Speaker 4: startom mode. If it's replaced, take it to another auto
15:57
Speaker 4: electrician and get it analyzed and see if he's actually
16:00
Speaker 4: ripped you off, which I did and it turned out
16:02
Speaker 4: he'd ripped me off when I took it back. When
16:04
Speaker 4: I took back to him, I showed him the analysis
16:07
Speaker 4: from chet G and he said, well, that's only a robot,
16:10
Speaker 4: and I said, well, I've actually ordered a robot from
16:12
Speaker 4: China because I have, and I'm going to cart it
16:15
Speaker 4: around in the car with me, and I'm going to
16:17
Speaker 4: stick the phone inside. It's the chests that have been
16:19
Speaker 4: the placement for it, and just just just to be
16:23
Speaker 4: a little bit different, I've bought it because I've got
16:26
Speaker 4: really high blood pressure and I figured that I'm not
16:30
Speaker 4: going to get the robots to change the deppies or
16:32
Speaker 4: anything like that. But it's also helping me with my
16:36
Speaker 4: blood pressure, so I take it. I take the chest.
16:40
Speaker 4: It gives me the information and I go from the years.
16:43
Speaker 4: So it's helped me make decisions around constitution stuff for
16:47
Speaker 4: my business. Wow, because I've changed my business from being
16:50
Speaker 4: a just an enterprise into a social enterprise. I'm funding
16:54
Speaker 4: a soup kitchen in terror a mobile one, and it's
16:58
Speaker 4: helping me with the text stuff and how to restructure
17:01
Speaker 4: the business so that I can actually use the trucks
17:03
Speaker 4: through to pay for the social enterprise.
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Speaker 2: This is us getting back. So what have you? How much?
17:10
Speaker 2: Do you basically just give it a whole lot of
17:11
Speaker 2: information and say and ask a few questions and Bob's
17:16
Speaker 2: your answer.
17:17
Speaker 4: Yeah, basically. But then I also cross reference all this
17:20
Speaker 4: stuff too, you know, and I watch it in voice
17:24
Speaker 4: mode while it's doing it, and it's it's incredible how
17:28
Speaker 4: fast it goes through all the databases, all the law stuff. Yeah,
17:34
Speaker 4: it's incredible. Hey, what's do you talk?
17:37
Speaker 2: Do you actually use the chat window like with the
17:40
Speaker 2: talking where you can basically what do you actually have
17:43
Speaker 2: a conversation where it actually verbally talks back to you.
17:46
Speaker 4: Yes, I do. I was just with my wife and
17:49
Speaker 4: daughter this morning up in Auckland's and it was talking
17:53
Speaker 4: to her and did oh, I said, oh, how cute.
17:56
Speaker 4: When I was struggling the baby.
17:58
Speaker 2: What voice have you got it on? Is it a
18:00
Speaker 2: male I've.
18:01
Speaker 4: Got the big the big basketball player or the man
18:04
Speaker 4: of color who seems sounds like he's about eight foot tall. Yeah. Interesting,
18:10
Speaker 4: them to be pretty critical. I've asked them to be
18:12
Speaker 4: very critical with me, not mince words, not patronize me,
18:15
Speaker 4: because often it's condescending and patronizing. And I say, just
18:18
Speaker 4: cuddle that out and let's let's just get the skinny,
18:21
Speaker 4: you know, and it does respond. I wouldn't trust it
18:25
Speaker 4: all together.
18:25
Speaker 3: Now, So would you ever consider using it for So
18:28
Speaker 3: you're using it for business strategizing and efficiencies, I mean,
18:33
Speaker 3: and so you know it's power, like would you be
18:36
Speaker 3: comfortable asking about you know, sort of some retirement planning
18:40
Speaker 3: or you know, contribution rates or investment funds.
18:43
Speaker 4: And it helped me open up accounts for the children
18:47
Speaker 4: in the right bank, which was a credit union, and
18:50
Speaker 4: set up two investments for them. It's did all the
18:54
Speaker 4: cost comparative analysis of what would work best. It showed
18:59
Speaker 4: me options that I got in the long term, what
19:02
Speaker 4: they would look like in five years time. So I
19:06
Speaker 4: found it quite helpful, but I'm also weird that it's
19:09
Speaker 4: draining my brain. I'm not as critically thinking as I
19:12
Speaker 4: used to be. I'm getting a bit lazy. Yeah, that's
19:14
Speaker 4: aware of that.
19:15
Speaker 2: That's well, that's good. That see. That's good you're aware
19:17
Speaker 2: of that, Johnny, because I think you know, as a
19:20
Speaker 2: as a data analysis tool, it's great, but there's you
19:23
Speaker 2: can't check your brain at the door.
19:24
Speaker 3: No, no, I have the same fear as too that
19:27
Speaker 3: you know it can make you lazy, and you do
19:31
Speaker 3: need to keep using your human brain to evolve. So
19:33
Speaker 3: to some extent you've got to just put on the
19:35
Speaker 3: brakes on a few things and challenge yourself or do
19:39
Speaker 3: more well rounded research like you're doing. So it sounds
19:42
Speaker 3: like a very sensible.
19:43
Speaker 2: Use of it. Good on you, Johnny. That is boy.
19:47
Speaker 2: He's using it for all sorts of things. I love
19:48
Speaker 2: the fact that he got it, used it to go
19:50
Speaker 2: and fact check, you know, the way he was getting
19:52
Speaker 2: built for something.
19:53
Speaker 3: Over the car advertising versus what he ended up with.
19:56
Speaker 2: That's great. Yeah, we'd love your calls. By the way,
19:59
Speaker 2: you're welcome to join us at one hundred and eighty
20:01
Speaker 2: ten eighty. How far will you trust AI and have
20:04
Speaker 2: you used it for calculating things in relation to your
20:07
Speaker 2: personal fund answers and the choices you're making. Here's one
20:12
Speaker 2: I'll throw it, Amanda before we go to the break.
20:14
Speaker 2: Would be say I'd just say, look, I've got this
20:18
Speaker 2: amount owing on my mortgage. Find the sweet spot for me.
20:22
Speaker 2: I'm paying this amount per month. You know, tell me
20:25
Speaker 2: what and it'll because it does come up with the
20:27
Speaker 2: thing is is I think this feels about right for
20:29
Speaker 2: you in terms of you pay it. This a bit quicker,
20:31
Speaker 2: you'll save this number of years on your mortgage. I mean,
20:33
Speaker 2: you can do calculators like that, but.
20:35
Speaker 3: It just it's very quick and it'll give you the
20:38
Speaker 3: obvious answer. Where I think there's a little bridge across
20:44
Speaker 3: is behavior. And I was having this discussion earlier today.
20:47
Speaker 3: So you may get all the right answers delivered to
20:50
Speaker 3: or more or less, but at the end of the day,
20:53
Speaker 3: it'll be up to you to implement those. And you know,
20:55
Speaker 3: at some stage, probably when you surrender, if people ever
20:57
Speaker 3: feel comfortable all your bank accounts, et cetera, and create rules,
21:01
Speaker 3: you can start like automating things really fast to again
21:05
Speaker 3: make your mortgage disappear a lot quicker by you know,
21:09
Speaker 3: limiting your spending that kind of thing. And probably we're
21:12
Speaker 3: going to go there, but it's a good reason to
21:14
Speaker 3: just kind of goes slow, I think at the steed.
21:16
Speaker 2: Yeah right, what love your calls AI and your finances?
21:20
Speaker 2: How do you use it for for any aspect of
21:24
Speaker 2: your personal finances? Why not? If you're not? And do
21:27
Speaker 2: you think it's something you need to really take a
21:29
Speaker 2: good strong look at. I eight hundred eighty ten eighty
21:32
Speaker 2: text nineteen nine so a bit late with the break
21:34
Speaker 2: actually twenty nine past five News Talk said b I
21:37
Speaker 2: eight hundred eighty t and eighty and we're talking with
21:41
Speaker 2: Amanda Morral about the use of AI and the role
21:45
Speaker 2: it can play in managing your personal finances. Max.
21:48
Speaker 5: Hello, hello speaking, This is a Max.
21:52
Speaker 2: Yes, I know, hey Max, Hi, Hi, Yes.
21:56
Speaker 5: Just quickly. I am a bus driver in Wellington and
21:59
Speaker 5: I use a trading platform outside of work and I
22:03
Speaker 5: use AI to help me place trades and to code
22:07
Speaker 5: with that platform that I use.
22:10
Speaker 3: And how's it working it for you?
22:12
Speaker 4: Pretty good?
22:14
Speaker 5: You can actually use AI to write coding scripts for you.
22:19
Speaker 5: You can actually get AI to place the orders for you,
22:23
Speaker 5: and you can ask AI for market analysis, and I've
22:27
Speaker 5: been doing that outside of work.
22:29
Speaker 3: And so you've got a higher degree in trust that
22:31
Speaker 3: the codes of that that it's giving you and the
22:36
Speaker 3: trades are good ones.
22:39
Speaker 2: Placing trades is a big high trust sort of environment,
22:42
Speaker 2: doesn't it. How does that work? Tell me?
22:44
Speaker 5: Yeah, Well, I'm actually a software engineer, so you need
22:47
Speaker 5: to know how to program the AI or LLM correctly.
22:51
Speaker 5: So I actually use structured data for the LLM, and
22:55
Speaker 5: I actually set limits on what I want out of
22:58
Speaker 5: that data, so it's either priced data or I'm actually
23:03
Speaker 5: using weather data and fundamentals data. Who are AI if
23:09
Speaker 5: the market would be bullish or bearish on that information?
23:13
Speaker 5: But you actually need to structure the data clearly for
23:16
Speaker 5: AI before you can ask a better question about it.
23:22
Speaker 2: So it sounds like that's a high degree of difficulty
23:25
Speaker 2: from the average punter, isn't it, max?
23:28
Speaker 5: Yes, definitely, it's high frequency trading. It's automated orders.
23:32
Speaker 4: It's not.
23:34
Speaker 5: Going into the bank and just talking about home loans
23:37
Speaker 5: or stuff like that. It's what I've taught myself from
23:40
Speaker 5: AI is stuff that you would probably only learn about
23:44
Speaker 5: in the trading house in the trading firm, or if
23:47
Speaker 5: you were a analyst at a bank working in finance.
23:51
Speaker 5: But I can't believe as an AI user for now
23:55
Speaker 5: three years that I can't believe the information that I'm
23:58
Speaker 5: getting from it.
23:59
Speaker 3: It's pretty amazing, isn't it.
24:01
Speaker 2: How's that making a lot of money? Is this something
24:04
Speaker 2: were you've got? You're all in there?
24:06
Speaker 5: See this is this is raging on the inside. Like,
24:09
Speaker 5: for example, I'm an unemployed software engineer. I drive buses,
24:14
Speaker 5: but at the moment, I've never been so powerful in
24:17
Speaker 5: coding with AI. I mean, I literally have hedge fund
24:21
Speaker 5: code on my GitHub and I'm doing finances with AI.
24:26
Speaker 5: And I'm thinking, why would I need to be employed
24:29
Speaker 5: as a software engineer when I can do it on
24:32
Speaker 5: the side these apps or as a bus trill And yeah, correct,
24:36
Speaker 5: And so this is why I thought i'd bring up
24:39
Speaker 5: to time and say that's how I'm using AI because
24:42
Speaker 5: I still want to work in tech. But when I
24:45
Speaker 5: had interviews and with tech leads, and I have struggled
24:49
Speaker 5: in the past with some tech lead interviews, but they say, oh,
24:53
Speaker 5: what have you been doing outside of bus drolling? Well,
24:55
Speaker 5: one hundred percent twenty five thirty hours of my week
24:59
Speaker 5: is going into AI outside of bus driving because I
25:03
Speaker 5: am trying to upscill.
25:05
Speaker 2: Okay, so when when does this? When does it take
25:07
Speaker 2: over the you're making serious money out of this that
25:10
Speaker 2: you don't need to do the bus driving or something,
25:12
Speaker 2: or unless you really love doing it. Of course, it's
25:14
Speaker 2: a different question.
25:17
Speaker 5: Well, it all depends with time. That's a hard question
25:20
Speaker 5: to answer because trading is a completely different skill set
25:24
Speaker 5: to driving a bus and it all requires energy. So
25:29
Speaker 5: I can't give you accurate answer on that specifically, But
25:34
Speaker 5: that is my backup plan that I was really desperate
25:37
Speaker 5: and I was on work and income, that's what I
25:41
Speaker 5: would have to do because the job market is challenging
25:44
Speaker 5: for technical staff and I've been challenged in myself to
25:49
Speaker 5: find a role. But in my spare time, I'm using
25:52
Speaker 5: AI to learn about finances to do that. So that's
25:57
Speaker 5: my example. I thought there's possibly others out there doing
26:00
Speaker 5: a similar thing.
26:02
Speaker 2: I'm sure people are using it for all sorts of things.
26:05
Speaker 2: That's a high degree of difficulty is talking about with
26:07
Speaker 2: regard to that side of the equation, isn't it. Yeah?
26:11
Speaker 3: But I think in any area choose you know, medicine
26:14
Speaker 3: or I don't know, you know, architecture, the degree of
26:18
Speaker 3: your own personal knowledge will enhance the type of response
26:24
Speaker 3: you're getting from AI. So if it becomes a collaborative
26:27
Speaker 3: type approach, you know, all the better. If you're starting
26:30
Speaker 3: out like blind, which a lot of people are in
26:33
Speaker 3: personal finance, very very basic, you're just going to want
26:36
Speaker 3: to get your toes wet before you start doing what
26:38
Speaker 3: Max is doing. Obviously right, too much risk of things
26:43
Speaker 3: going wrong, but you know, good on him.
26:46
Speaker 2: Yeah, we're going to come back in a moment. We'll
26:48
Speaker 2: just take quick break with Romanda Morele talking about AI
26:52
Speaker 2: and its use when it comes to you managing your
26:54
Speaker 2: own personal finances? Would you trust it in how far?
26:58
Speaker 2: I don't want that to be the main question, but
26:59
Speaker 2: how comfortable would you be using it? Because the more
27:02
Speaker 2: I think about how clever it isn't just analyzing data
27:04
Speaker 2: and accounts and all sorts of things, why wouldn't you?
27:07
Speaker 2: I thought? My other question, this is what we're going
27:09
Speaker 2: to talk to Amanda about after this. I'm going to
27:11
Speaker 2: ask her should financial advisors be a bit nervous about
27:15
Speaker 2: this stuff? Given costs a lot of money to get
27:17
Speaker 2: a financial advisor, and if AI is going to do
27:20
Speaker 2: the job, what we're to for them. It's twenty two
27:23
Speaker 2: minutes to Sex News Talk set B, Yes News Talks
27:26
Speaker 2: sad B. Now, look, I think I don't want this question.
27:32
Speaker 2: By the way, we're with Amanda Morale talking about AI
27:34
Speaker 2: and personal finance. I don't want this question to be
27:37
Speaker 2: interpreted as having a crack at any profession. But I
27:40
Speaker 2: think there are certain professions where people who found it
27:44
Speaker 2: expensive to engage with them and couldn't basically can't afford them.
27:48
Speaker 2: And I'm thinking law, accounting and also now personal finance.
27:53
Speaker 2: I'm thinking Amanda that AI is actually going to it's
27:58
Speaker 2: going to get rid of a few jobs in that
27:59
Speaker 2: because people will be able to do things that otherwise
28:04
Speaker 2: they had to pay four hundred bucks an hour for.
28:05
Speaker 3: Yeah, the Welsh management sector is rightly you know, should
28:09
Speaker 3: be nervous. It was a huge conference in Miami a
28:12
Speaker 3: couple months back with a you know financial advisors there
28:16
Speaker 3: by you know, the hundreds addressing what does the future
28:20
Speaker 3: look for us with AI and lots of interesting conversations
28:24
Speaker 3: and the heads of Claude they're talking about tools et
28:27
Speaker 3: cetera that they could use. So, you know, I think
28:30
Speaker 3: financial advisors are always going to talk. They're talk and
28:32
Speaker 3: you know, downplay the risks. And there'll be a certain
28:36
Speaker 3: segment of the population who won't use these tools because
28:40
Speaker 3: they're the too fearful, scared or old school so to
28:44
Speaker 3: that degree. And a lot of people who are working
28:46
Speaker 3: with financial advisors are older, probably most of them over
28:49
Speaker 3: the age of forty five of fifty and up, so
28:52
Speaker 3: maybe they're set, they're safe with those kind of clients.
28:55
Speaker 3: Younger people today is not not the same. Even even
28:59
Speaker 3: in surveys of the you know, the errors of people
29:01
Speaker 3: who are high net worth they have no intention of
29:04
Speaker 3: using those same financial advisors because they know there's tools
29:07
Speaker 3: where they could get rid of the financial advisor, save
29:10
Speaker 3: it crap ton of money and you know, manage without.
29:14
Speaker 2: So will I mean, will there still be a role
29:17
Speaker 2: for the human mind in terms of certain more ephemeral
29:21
Speaker 2: sort of types of advice. So you get all the
29:22
Speaker 2: numbers crunched and all that sort of thing, but well, there,
29:25
Speaker 2: I imagine there there must be When it comes to
29:28
Speaker 2: legal advice. Even it's one thing to know how to
29:31
Speaker 2: argue your corner, it's another thing for someone to give
29:33
Speaker 2: you legal advice and say, well, yes, but based on
29:36
Speaker 2: this we think that the prudent course of action is
29:38
Speaker 2: that you negotiate a semiment based on or was chat
29:40
Speaker 2: sheep eating and to fill all those sort.
29:42
Speaker 3: Of I think it's still an imperfect solution, but it
29:46
Speaker 3: is a powerful one. And so and I you know, listen,
29:50
Speaker 3: I like humans. I think it's really important we continue
29:53
Speaker 3: to use our brains and interact and all that. So
29:56
Speaker 3: hopefully there'll be, you know, a way forward whereby you're
30:00
Speaker 3: getting the best of both worlds. But what I would
30:03
Speaker 3: say is, like, you know, if you had previously to
30:05
Speaker 3: pay three thousand dollars for a financial plan, you could
30:09
Speaker 3: get a lot of that with some paid AI tools.
30:14
Speaker 2: What would you ask it a fraction? What would you
30:15
Speaker 2: ask AI?
30:16
Speaker 3: Most people need to know how they're going to manage
30:19
Speaker 3: in retirement. So how much money do I need by
30:23
Speaker 3: X when I turned so and so to be able
30:26
Speaker 3: to live off X until I die and leave a
30:30
Speaker 3: certain amount for my kids or no money for my
30:32
Speaker 3: kids or those kind of questions. Right, Yeah, And so
30:35
Speaker 3: if you're in your forties and you've got a mortgage
30:38
Speaker 3: and you know you're struggling to think how you're going
30:42
Speaker 3: to manage your kV saver is only worth forty five
30:44
Speaker 3: thousand dollars. How to kind of move the pieces on
30:46
Speaker 3: the chessboard to get in a better position. Absolutely, AI
30:51
Speaker 3: can help you design a plan.
30:54
Speaker 2: What would you add? I mean if you were wanting
30:56
Speaker 2: to get a financial plan on that, how would you ask?
31:00
Speaker 2: Some people being nervousized and wouldn't know what to ask it?
31:02
Speaker 2: Like a very basic question.
31:03
Speaker 3: Let's take keV saver for example. Okay, won't be popular
31:06
Speaker 3: with fund manager there, but you and again I'd be
31:11
Speaker 3: cautious whether it's got all the information because there's other
31:13
Speaker 3: tools and resources you could use that will tell you this.
31:16
Speaker 3: But like, how much could I save if I was
31:18
Speaker 3: paying to you know, to ten basis points or zero
31:21
Speaker 3: point twenty five on my keV saver versus one point
31:24
Speaker 3: twenty five with this current fund manager given average returns
31:27
Speaker 3: of xyz. And it'll show you the compounded effect of
31:31
Speaker 3: paying lower fees on your KIW saver over forty years
31:35
Speaker 3: of investing, for example. And you're going to say, people
31:38
Speaker 3: will be shocked to realize that they could save themselves
31:41
Speaker 3: twenty thirty forty depends how big your kivsaver balance is
31:44
Speaker 3: in fees because they're charged as a proportion on your balance.
31:47
Speaker 3: So something like that where there's greater transparency to what
31:50
Speaker 3: you're paying on your KB saver fees and how those
31:53
Speaker 3: add up over time and how that might benefit you.
31:55
Speaker 3: You could do that with mortgages, doing mortgage comparisons, restruction
31:59
Speaker 3: your mortgage in a more efficient way. You could ask
32:03
Speaker 3: you questions about, given my KEB Saver balance now and
32:06
Speaker 3: it's projected amount to be at sixty five plus my
32:09
Speaker 3: other savings, how much am I going to realistically have
32:12
Speaker 3: to live off? What are my options if I can't?
32:15
Speaker 3: You know, that's not gonna be enough. And it'll give you,
32:17
Speaker 3: you know, it'll cure reate a picture for you that
32:21
Speaker 3: you know. I think takes a lot of fear about
32:24
Speaker 3: the future for people and to that, and I think
32:26
Speaker 3: it's a great tool because most people don't get into
32:30
Speaker 3: stuck into personal finance because that either these are the
32:33
Speaker 3: two pillars, fear and procrastination.
32:37
Speaker 2: I think you've nailed it. That's funny. I've been I
32:40
Speaker 2: haven't really been procrastinating, but yes I have. I have.
32:43
Speaker 2: So we've got to do some renovations because you know,
32:46
Speaker 2: we love our house, but there's stuff that we did
32:48
Speaker 2: ten years ago that we've still got the bear jib
32:51
Speaker 2: in the hallway and we've got so used to it
32:53
Speaker 2: and we realize there's some a few things we have
32:55
Speaker 2: to do. It's not going to be hugely expensive to
32:58
Speaker 2: do it. But I know that you can get home
33:00
Speaker 2: renovation loans through an Z and the procrastination. I haven't.
33:04
Speaker 2: I've indulged in or not indulged in whatever the word is,
33:09
Speaker 2: fall and pray to there we go is. I know
33:12
Speaker 2: I only need to have a conversation with the chat
33:14
Speaker 2: GPT about if I use this home loan at a
33:18
Speaker 2: lower interest rate, how should I use that? How should
33:21
Speaker 2: I structure my home loan and my payments and how
33:24
Speaker 2: should I make sure I'm paying the least amount of
33:26
Speaker 2: interest for the longest period of time. And I know
33:28
Speaker 2: it will tell me very quickly.
33:30
Speaker 3: You could do it by the time the show is
33:32
Speaker 3: all right, yeah, and see whatever and see what kind
33:36
Speaker 3: of response to get whether you would act on that.
33:38
Speaker 3: And so again I weld cautious people when you're doing
33:40
Speaker 3: scenario planning like that, not to rush at the door
33:43
Speaker 3: and act on it. But you know, ask many more
33:45
Speaker 3: questions after that and check around, do your homework, like
33:48
Speaker 3: what our first caller, does you know use it as a.
33:51
Speaker 2: Tool solar loans. A lot of GET banks are offering
33:55
Speaker 2: the energy efficiency sort of loans. I can't be what
33:57
Speaker 2: they call them. I know ain Z's got one because
33:59
Speaker 2: that's what I'm worth where it's one percent, but of
34:01
Speaker 2: course it's only one percent for a certain period of
34:04
Speaker 2: time and then it hits into a larger interest rate,
34:07
Speaker 2: and so that'll be an the question. I might say, well,
34:09
Speaker 2: if I'm interested in the sort of in the green
34:11
Speaker 2: loan thing, how do I be structured? And it'll go, well,
34:14
Speaker 2: you should, you know, put this on your current mortgage,
34:17
Speaker 2: max out that mortgage for as long as you can.
34:20
Speaker 2: I've almost answered the question myself, and I know AI
34:22
Speaker 2: will do it much smarter than me.
34:24
Speaker 3: I'll do it quicker. But as whether, again, the degree
34:27
Speaker 3: of effectiveness will depend on your ability to act on
34:30
Speaker 3: those things. And that's you know, that's where there's going
34:33
Speaker 3: to be a gap between what you get answers you
34:35
Speaker 3: get fed by open AI and what you actually do
34:38
Speaker 3: until such stage as you're uploading everything, you're surrendering and
34:42
Speaker 3: it's automating for you, and then they kind of take over,
34:45
Speaker 3: which is you know, that's probably where we're headed next.
34:47
Speaker 2: But I should probably even give it my accounts and
34:50
Speaker 2: just say, hey, here's what my account's done. Have a
34:52
Speaker 2: look at it. What do you reckon? Is there anything
34:54
Speaker 2: where they've made a mistake?
34:55
Speaker 3: Well, this is another great example portfolio analysis. So there
34:59
Speaker 3: are many examples. Probably your color Max is doing this too,
35:03
Speaker 3: where you can upload If you do have a portfolio
35:06
Speaker 3: of investments with you know, fund manager, and you're wondering,
35:10
Speaker 3: you know, what you're getting out of it and how
35:12
Speaker 3: well it's doing some comparatives, you're going to upload those
35:14
Speaker 3: and get some performance analysis.
35:17
Speaker 2: God, it's amazing free.
35:19
Speaker 4: Ah.
35:20
Speaker 2: We will take a moment if anyone wants to squeeze
35:22
Speaker 2: if you reckons, and we've forgot time to take a call,
35:24
Speaker 2: but we've got what is it eleven minutes to six,
35:28
Speaker 2: and I'm with Amanda Maro. I don't forget what time
35:31
Speaker 2: is it after that we're doing this. We're doing the
35:33
Speaker 2: show with Tim Frank, Tim Rocksborough, Frank and Jackson after seven,
35:39
Speaker 2: So after six, I'm not I think it's still Sunday
35:41
Speaker 2: at six after obviously, as the show is called Sunday
35:44
Speaker 2: at Sex, but after seven, Tim Rocksborogh and Frank and
35:49
Speaker 2: Jacks are ripping into it with taking your calls about
35:52
Speaker 2: one hundred years of z B. And I'm guessing they're
35:55
Speaker 2: going to ask for your most frightening, interesting, scary, amusing, funny,
36:00
Speaker 2: moving moments. So that's not an easy evening. You'll talk Aback.
36:05
Speaker 2: I don't know what it is, but anyway, we'll BA
36:06
Speaker 2: back and just to take news talks here b it's
36:08
Speaker 2: ten to six news talk se B. I just you know,
36:12
Speaker 2: just to finish off with. By the way, thanks for you.
36:14
Speaker 2: We've had some lovely messages. Jeff just as he loves
36:16
Speaker 2: this show. Somebody else has said, for goodness sake, guys,
36:18
Speaker 2: wake up AIS for no one's benefit. It is nothing
36:20
Speaker 2: but a surveillance tool, nothing else. Get past the conspiracy theory.
36:23
Speaker 2: It's conspiracy control and survow everything. Dave, I don't think
36:28
Speaker 2: it is. Actually what do you think of those sorts?
36:32
Speaker 2: I mean, I don't want to dismiss Dave too cruelly,
36:34
Speaker 2: but I think that's you know, it's mildly paranoid stuff.
36:38
Speaker 3: Well, we're surrendering information, so he's not a point there,
36:41
Speaker 3: but you know, we're surrendering information in so many other
36:44
Speaker 3: aspects of our lives. If you have a smartphone, everything
36:47
Speaker 3: is being recorded. You're being bombarded with ads, so you
36:50
Speaker 3: know the cat's out of the bag.
36:51
Speaker 2: There so too late, High Tim and Amanda. I have
36:54
Speaker 2: two investment properties and I'm approaching retirement. I've been thinking
36:56
Speaker 2: about selling one of them, but unsure which one. I
36:59
Speaker 2: put all the numbers into chet GPT. It gave me
37:01
Speaker 2: a very detailed analysis, including the property market situation in
37:04
Speaker 2: each city center, and came up with a recommendation on
37:07
Speaker 2: which one to sell. It was a very different answer
37:10
Speaker 2: to what I might have expected, but it's given me
37:11
Speaker 2: a great analysis to consider. Happy one hundredth anniversary, zbces
37:16
Speaker 2: in from Auckland. That's the sort of thing I reckon.
37:18
Speaker 3: You can use it for yem useful, right, I mean
37:21
Speaker 3: ask around to get a second opinion before you do
37:23
Speaker 3: stuff like that.
37:24
Speaker 2: Okay in the break, I did this with forty seconds
37:27
Speaker 2: left in the break, and I said to chat GPT,
37:32
Speaker 2: if I was going to use a green loan for
37:33
Speaker 2: the A and Z at one percent to stick in
37:35
Speaker 2: some solar or something, would I be best to take
37:38
Speaker 2: out the whole loan and then use it that low
37:39
Speaker 2: interest on some of my home mortgage? How does it work?
37:42
Speaker 2: If you got any suggestions for me? And I can't
37:45
Speaker 2: read all its advice because it'll take too long. But yes, yes,
37:48
Speaker 2: there is a potentially very useful mortgage strategy, but there's
37:51
Speaker 2: an important catch. You just can't borrow the maximum at
37:54
Speaker 2: one percent to pay it on your ordinary mortgage. And
37:58
Speaker 2: it just explains what the catch is. They require a
38:01
Speaker 2: quote and confirmed installation date such and such from a
38:05
Speaker 2: particular member installer, so blah blah, bah blah. But there's
38:08
Speaker 2: a smart way to think about it. Instead of paying
38:11
Speaker 2: cash for solar, you could potentially borrow twenty percent keep
38:16
Speaker 2: your and uh anyway, it's it's come up with a
38:19
Speaker 2: whole scheme on how I can use it, and it's
38:21
Speaker 2: given me. If I read it all out, I would
38:24
Speaker 2: run out of time and it would be like it's
38:26
Speaker 2: time for Frank and Jackson to Roxburgh or Sunday at Sex.
38:29
Speaker 3: But it's given you food for thought, and it's given
38:32
Speaker 3: you more information than you pondering these questions yourself.
38:34
Speaker 2: So you know, I wonder if you wanted to be dodgy,
38:36
Speaker 2: if you're like I want to do something fraudulent, give
38:39
Speaker 2: me a way to rip someone off. Let's not finish
38:41
Speaker 2: on that note, though, shall we.
38:43
Speaker 3: Let's finish on a happy note, and please don't run
38:45
Speaker 3: away with your chat GPT British seductress.
38:48
Speaker 2: Oh my goodness, somebody texted me saying that, and they've said,
38:51
Speaker 2: don't use my name, but my there was something about
38:55
Speaker 2: I can't remember where I've read it actually, but just
38:57
Speaker 2: what do you do about your partner dumping you for
38:59
Speaker 2: AI women on the romance website. Well, I'm a big believer, Amanda,
39:05
Speaker 2: and you know when here's an example. Remember when video
39:08
Speaker 2: sets and DVDs came out and everyone thought this would
39:11
Speaker 2: be the death of theater. You know, when TV came out,
39:13
Speaker 2: it'll be the death of live performance. No, people need people,
39:16
Speaker 2: as Barbara Streisand sang, you know, people who need people.
39:19
Speaker 2: I've quoted that song so many times since AI came out.
39:22
Speaker 2: But people need people, don't We?
39:24
Speaker 3: We are humans still, and I think that'll be some
39:27
Speaker 3: glue to keep us together.
39:28
Speaker 5: I help.
39:29
Speaker 2: Yeah. Indeed, Hey, Amanda, great to see you and we'll
39:33
Speaker 2: look forward to next time. Mate. I look for a
39:34
Speaker 2: tech stick around for Franken Jacks and as I say,
39:38
Speaker 2: hundred years of ZB with Tim Rocksbury and Franken Jacks
39:41
Speaker 2: after seven thanks to my producer Locke, and we'll look
39:44
Speaker 2: forward to your company same time next week. By the
39:49
Speaker 2: Way podcast you go and check it out iHeartRadio News
39:51
Speaker 2: Talk ZB look for the week in Collective. Catch us soon.
39:54
Speaker 1: Baite for more from NEWSTALKZTB. Listen live on air or online,
40:12
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