1 00:00:00,120 --> 00:00:03,840 Speaker 1: Or to make any event, the affordability crisis, lower interest 2 00:00:03,880 --> 00:00:06,560 Speaker 1: rate checky helloween, Narcot's Terrace Out of the Water, fifty 3 00:00:06,600 --> 00:00:12,119 Speaker 1: five KR and the talk station five the fifty five 4 00:00:12,200 --> 00:00:14,960 Speaker 1: case the talk station. It's Monday, and a very happy 5 00:00:15,000 --> 00:00:16,759 Speaker 1: one to you. Always been an extra happy because this 6 00:00:16,880 --> 00:00:18,720 Speaker 1: time eight o five every Monday we hear from Brian 7 00:00:18,800 --> 00:00:22,200 Speaker 1: James Malworth Financial what we call money Monday. Welcome back, 8 00:00:22,239 --> 00:00:24,239 Speaker 1: Brian James Mallworth Financial. It's a pleasure to have you 9 00:00:24,280 --> 00:00:24,880 Speaker 1: on as always. 10 00:00:25,280 --> 00:00:28,360 Speaker 2: Happy super Bowl Monday to you, sir. I spent yesterday 11 00:00:28,400 --> 00:00:29,600 Speaker 2: not really caring either. 12 00:00:29,480 --> 00:00:31,520 Speaker 1: Not caring. That was pretty much how I left it. 13 00:00:31,560 --> 00:00:36,640 Speaker 1: I did turn off the television right before halftime. No, 14 00:00:36,800 --> 00:00:39,640 Speaker 1: it wasn't necessarily because of the halftime performances. It was 15 00:00:39,640 --> 00:00:42,480 Speaker 1: because I have to go to bed, yeah and plug. 16 00:00:42,560 --> 00:00:44,760 Speaker 1: It's not worth the sacrifice this time around one now. 17 00:00:44,760 --> 00:00:48,320 Speaker 1: And I really wasn't real happy about Seattle ultimately winning either. Anyhow, 18 00:00:48,360 --> 00:00:49,600 Speaker 1: I didn't have a stake in the game, and of 19 00:00:49,640 --> 00:00:51,839 Speaker 1: course I wasn't interested in the halftime show, even though 20 00:00:51,880 --> 00:00:52,919 Speaker 1: John Kasik loved it. 21 00:00:54,680 --> 00:00:57,520 Speaker 2: Yeah to eat their own you know, I can't remember 22 00:00:57,560 --> 00:00:59,680 Speaker 2: the last halftime show that I've been interested in, and 23 00:00:59,720 --> 00:01:02,400 Speaker 2: that a political statement. They're just two artsy fartsy and 24 00:01:02,440 --> 00:01:04,000 Speaker 2: weird for I'm with you all day long. 25 00:01:04,080 --> 00:01:06,200 Speaker 1: Maybe that's a sign of age, you know, you just 26 00:01:06,240 --> 00:01:08,440 Speaker 1: you kind of lose track of modern music the older 27 00:01:08,520 --> 00:01:08,800 Speaker 1: you get. 28 00:01:08,840 --> 00:01:11,200 Speaker 2: So I'm way too many signs of age these days, Brian. 29 00:01:11,080 --> 00:01:13,240 Speaker 1: Amen, brother, I'm still living in the eighties and nineties 30 00:01:13,319 --> 00:01:16,039 Speaker 1: music wise. Anyway, let's get over to well, get yourself 31 00:01:16,040 --> 00:01:18,800 Speaker 1: a financial planner. It's so damn important. So let's are 32 00:01:18,800 --> 00:01:21,520 Speaker 1: we dealing with another tech bubble here, Brian James, with 33 00:01:21,560 --> 00:01:24,720 Speaker 1: this artificial intelligence fears battering stocks again? I saw the 34 00:01:24,800 --> 00:01:26,640 Speaker 1: article you attached to the New York Times. 35 00:01:27,000 --> 00:01:29,960 Speaker 2: Yeah, so it does appear that we've got a bit 36 00:01:30,000 --> 00:01:31,440 Speaker 2: of a but this isn't up. You know, we have 37 00:01:31,520 --> 00:01:33,640 Speaker 2: a bubble every time we get excited about something, and 38 00:01:33,840 --> 00:01:37,360 Speaker 2: there's always some catalyst behind the market moving things, and 39 00:01:37,640 --> 00:01:39,520 Speaker 2: you know, a lot of times it winds up being 40 00:01:39,520 --> 00:01:42,040 Speaker 2: a bubble of varying sizes. Sometimes the bubble bursts all 41 00:01:42,040 --> 00:01:44,160 Speaker 2: at once, and sometimes the air goes out slowly like 42 00:01:44,200 --> 00:01:47,080 Speaker 2: a balloon. But so where we are now while we're 43 00:01:47,080 --> 00:01:50,040 Speaker 2: talking about this, so global software tech stocks plunge sharply 44 00:01:50,160 --> 00:01:54,000 Speaker 2: last week after AI firm Anthropic released major upgrades and plugins. 45 00:01:54,000 --> 00:01:56,160 Speaker 2: If you were watching the Super Bowl, you saw a 46 00:01:56,240 --> 00:02:00,560 Speaker 2: couple of commercials for something called Claude. That's Anthropic, And 47 00:02:00,800 --> 00:02:03,200 Speaker 2: the reason for this is investors are interpreting this as 48 00:02:03,200 --> 00:02:07,720 Speaker 2: a threat to traditional software business models. The reason that 49 00:02:08,320 --> 00:02:10,960 Speaker 2: Claude is such a threat is because they've shifted toward 50 00:02:11,000 --> 00:02:13,880 Speaker 2: automation of actual real business workflows. And that sounds like 51 00:02:13,960 --> 00:02:17,840 Speaker 2: business mumbo jumbo, but we're talking about legal review, document drafting, analytics, 52 00:02:17,919 --> 00:02:22,080 Speaker 2: and coding tasks, actual real tasks that people do every 53 00:02:22,120 --> 00:02:25,040 Speaker 2: day for money, not just simple chat or coding help. 54 00:02:25,080 --> 00:02:28,120 Speaker 2: And this is raising fears that AI could actually replace 55 00:02:28,160 --> 00:02:32,680 Speaker 2: substantial parts of existing software functionality. So there's just as 56 00:02:32,680 --> 00:02:35,600 Speaker 2: an example, there's a legal workflow AI plug in that 57 00:02:35,720 --> 00:02:38,360 Speaker 2: was singled out as a catalyst for accelerating the sell offs, 58 00:02:38,600 --> 00:02:41,880 Speaker 2: especially in the legal software and data analytics analytics companies 59 00:02:41,960 --> 00:02:44,880 Speaker 2: like r E l X and Walter's Clure. So these 60 00:02:44,880 --> 00:02:48,160 Speaker 2: are fairly detailed examples. But the whole point of this 61 00:02:48,320 --> 00:02:52,320 Speaker 2: is the claud is currently perceived to be an actual 62 00:02:52,360 --> 00:02:55,960 Speaker 2: threat to the human brains doing previously human jobs. Now 63 00:02:55,960 --> 00:02:57,880 Speaker 2: we'll see we get wound up about this kind of 64 00:02:57,880 --> 00:02:59,200 Speaker 2: thing there. You know, a year and a half, two 65 00:02:59,240 --> 00:03:03,160 Speaker 2: years ago, there was a Chinese replacement deep something I 66 00:03:03,200 --> 00:03:05,480 Speaker 2: can't even remember anymore, but it was supposedly better and 67 00:03:05,600 --> 00:03:09,240 Speaker 2: cheaper than open AI's chatch Ept, and it came and 68 00:03:09,280 --> 00:03:11,160 Speaker 2: went in a span of a few months. So we'll 69 00:03:11,200 --> 00:03:14,720 Speaker 2: see if this is really just an actual problem for 70 00:03:14,800 --> 00:03:17,920 Speaker 2: the AI industry or you know, honestly, this is what 71 00:03:17,960 --> 00:03:20,560 Speaker 2: AI is supposed to do, So this could be actually advancement. 72 00:03:20,639 --> 00:03:22,360 Speaker 2: So I don't know whether we need to be worried 73 00:03:22,360 --> 00:03:24,360 Speaker 2: about it or just looking at it saying, hey, you know, 74 00:03:24,800 --> 00:03:27,600 Speaker 2: competition rears its ugly ahead again and somebody's gonna win, 75 00:03:27,600 --> 00:03:28,399 Speaker 2: somebody's gonna lose. 76 00:03:28,480 --> 00:03:34,120 Speaker 1: Well, isn't this just the obvious next step in artificial intelligence? 77 00:03:34,120 --> 00:03:36,920 Speaker 1: I mean, whether it's here right now, this is ultimately 78 00:03:36,960 --> 00:03:38,360 Speaker 1: where we're going to be, isn't it. 79 00:03:38,760 --> 00:03:41,200 Speaker 2: You would think so. But the so, it's not the 80 00:03:41,840 --> 00:03:45,560 Speaker 2: tech stocks, it's not the competition necessarily that is the 81 00:03:45,600 --> 00:03:48,280 Speaker 2: focus here. If Claude is the real deal, then it's 82 00:03:48,320 --> 00:03:51,880 Speaker 2: it's companies like Microsoft. It's companies that have knitted together 83 00:03:52,000 --> 00:03:54,800 Speaker 2: a lot of different things for humans to use. Well, 84 00:03:55,120 --> 00:03:57,480 Speaker 2: the perception is that Claude could replace a lot of 85 00:03:57,480 --> 00:03:59,200 Speaker 2: those things. So it's not just that Claude is a 86 00:03:59,200 --> 00:04:02,840 Speaker 2: threat to the chatchypts and the larger AI tools of 87 00:04:02,840 --> 00:04:05,040 Speaker 2: the world. It's the threat to the things that aren't 88 00:04:05,080 --> 00:04:07,760 Speaker 2: exactly themselves AI that are made for human beings to use. 89 00:04:07,920 --> 00:04:11,280 Speaker 1: Okay, I'm a little reluctant to ask this, but I'm 90 00:04:11,320 --> 00:04:13,080 Speaker 1: trying to ask if you can do like a real 91 00:04:13,160 --> 00:04:17,960 Speaker 1: vanilla example, like walk through an illustration of maybe some 92 00:04:18,120 --> 00:04:20,120 Speaker 1: software application or something that's going to go the way 93 00:04:20,160 --> 00:04:23,040 Speaker 1: the dodo if in fact, these these fears are are 94 00:04:23,080 --> 00:04:24,919 Speaker 1: are true, you know, put like a. 95 00:04:26,360 --> 00:04:28,640 Speaker 2: Well, I mean, I guess I would think of something 96 00:04:28,720 --> 00:04:31,920 Speaker 2: like like the Microsoft Office tools that are out there. 97 00:04:31,920 --> 00:04:33,280 Speaker 2: I mean, it's get This is kind of a really 98 00:04:33,279 --> 00:04:36,320 Speaker 2: over the simplified example, but that's what I'm looking for. Yeah, sure, 99 00:04:36,880 --> 00:04:40,479 Speaker 2: grave for me. Yeah, so so I would. I would. 100 00:04:40,600 --> 00:04:42,839 Speaker 2: I would think of this as in terms of, you know, 101 00:04:43,000 --> 00:04:45,560 Speaker 2: for those tools out there to produce documents and spreadsheets 102 00:04:45,600 --> 00:04:47,480 Speaker 2: all that kind of thing that is a huge, huge 103 00:04:47,520 --> 00:04:51,719 Speaker 2: part of Microsoft's uh, you know, annual revenue. Right although subscribe, 104 00:04:51,720 --> 00:04:53,599 Speaker 2: by the way, that's a subscription model anymore. You're not 105 00:04:53,600 --> 00:04:56,000 Speaker 2: buying a buying a pile of CDs because that's the 106 00:04:56,040 --> 00:04:58,800 Speaker 2: way that software has gone over the past couple of decades. Well, 107 00:04:58,800 --> 00:05:01,239 Speaker 2: that may no longer be needed. If if if AI 108 00:05:01,440 --> 00:05:03,640 Speaker 2: is able to produce these types of documents and things, 109 00:05:03,680 --> 00:05:06,200 Speaker 2: then you don't need a human being to interface between 110 00:05:06,680 --> 00:05:09,320 Speaker 2: between the chair and the computer to produce a document 111 00:05:09,440 --> 00:05:11,080 Speaker 2: or a spreadsheet. AI will take care of it for 112 00:05:11,160 --> 00:05:13,520 Speaker 2: you and send it to the people who matter on 113 00:05:13,560 --> 00:05:15,720 Speaker 2: the higher levels who need to review this data. Wow. 114 00:05:15,839 --> 00:05:19,320 Speaker 1: So it's like saying, hey, chat GVT, you know, create 115 00:05:19,880 --> 00:05:22,599 Speaker 1: fill in the blank. We're saying, hey, this software, I 116 00:05:22,640 --> 00:05:25,599 Speaker 1: need a spreadsheet with all this data, make it for me, 117 00:05:25,800 --> 00:05:26,600 Speaker 1: and it does. 118 00:05:26,640 --> 00:05:29,120 Speaker 2: Yeah, exactly. So that's what leaders of companies will be 119 00:05:29,160 --> 00:05:32,040 Speaker 2: looking to do. And so it's not necessarily those leaders yet, 120 00:05:32,200 --> 00:05:34,520 Speaker 2: it's the business analysts underneath them, and there's a lot 121 00:05:34,560 --> 00:05:36,960 Speaker 2: of them out there who are pulling that data today, 122 00:05:37,279 --> 00:05:40,520 Speaker 2: collating it from twelve different resources, and putting some kind 123 00:05:40,520 --> 00:05:44,080 Speaker 2: of presentation together about it so that the leadership of 124 00:05:44,160 --> 00:05:45,839 Speaker 2: the company can look at those things. Well, that level 125 00:05:45,880 --> 00:05:49,320 Speaker 2: of management is kind of under threat right now, as 126 00:05:49,400 --> 00:05:51,320 Speaker 2: are the tools that they use, which is why we're 127 00:05:51,320 --> 00:05:52,800 Speaker 2: talking about the impact on the stock market. 128 00:05:52,880 --> 00:05:55,599 Speaker 1: This is a double hit then. Yeah, manufacturers of the 129 00:05:55,680 --> 00:05:58,200 Speaker 1: software that really their business model is predicated on us 130 00:05:58,240 --> 00:06:01,360 Speaker 1: keep paying subscriptions, so if the need for that software disappears, 131 00:06:01,360 --> 00:06:04,720 Speaker 1: their business model collapses. But the using of this artificial 132 00:06:04,760 --> 00:06:08,080 Speaker 1: intelligence also will eliminate a whole lot of jobs out 133 00:06:08,080 --> 00:06:10,240 Speaker 1: in the world for people who are number crunchers or 134 00:06:10,440 --> 00:06:13,320 Speaker 1: like spreadsheet filler inner type people that we won't need 135 00:06:13,360 --> 00:06:14,360 Speaker 1: them anymore either. 136 00:06:14,279 --> 00:06:16,320 Speaker 2: Correct, And that's just today's example of it. Now, again, 137 00:06:16,320 --> 00:06:18,239 Speaker 2: I want to stress that this is just the market's 138 00:06:18,240 --> 00:06:21,920 Speaker 2: opinion on one day. You know, Anthropic came out with 139 00:06:21,960 --> 00:06:24,720 Speaker 2: some good, good results and some good detail on what 140 00:06:24,720 --> 00:06:27,880 Speaker 2: they're capable of doing. But again, we just saw this 141 00:06:27,920 --> 00:06:30,080 Speaker 2: a year and a half ago with that Chinese company 142 00:06:30,080 --> 00:06:31,760 Speaker 2: that was going to replace Chat GPT and then it 143 00:06:31,800 --> 00:06:33,599 Speaker 2: was revealed to not be the real thing. I don't 144 00:06:33,640 --> 00:06:36,680 Speaker 2: think that's the case here at all, because Anthropic is 145 00:06:36,680 --> 00:06:38,440 Speaker 2: a pretty well known company and those are some pretty 146 00:06:38,480 --> 00:06:41,240 Speaker 2: powerful tools. But I think the market is kind of 147 00:06:41,240 --> 00:06:45,240 Speaker 2: ignoring for the moment the impact it could have in 148 00:06:45,320 --> 00:06:48,600 Speaker 2: driving competition across these different tools. I'm sure Microsoft is 149 00:06:48,640 --> 00:06:50,680 Speaker 2: not going to fold and stand down and just say, well, 150 00:06:50,720 --> 00:06:52,800 Speaker 2: I guess we've been beaten at our own game. Remember 151 00:06:52,839 --> 00:06:56,560 Speaker 2: Microsoft has a massive investment in open Ai themselves, and 152 00:06:56,640 --> 00:06:59,640 Speaker 2: so I'm sure this is just just more sign of competition, 153 00:07:00,120 --> 00:07:01,400 Speaker 2: but just some chopping us. 154 00:07:01,279 --> 00:07:03,359 Speaker 1: In the waters for now, fair enough, And I guess 155 00:07:03,640 --> 00:07:06,560 Speaker 1: the NASDAK is what will be most implicated by this. 156 00:07:06,800 --> 00:07:08,960 Speaker 1: If it, whatever it happens to be, hits the fan, 157 00:07:09,120 --> 00:07:11,080 Speaker 1: that's where it's going to be reflected mostly, isn't it. 158 00:07:11,320 --> 00:07:13,280 Speaker 2: Yeah, But there will also be the NASDAK is of 159 00:07:13,320 --> 00:07:16,360 Speaker 2: course more focused on those technology tools, so there'll be 160 00:07:16,400 --> 00:07:20,000 Speaker 2: other companies that benefit from this. U S and P. 161 00:07:20,200 --> 00:07:22,560 Speaker 2: I'm looking at more because remember who's Remember we talked 162 00:07:22,560 --> 00:07:24,120 Speaker 2: about this all the time, but remember the S and 163 00:07:24,160 --> 00:07:26,600 Speaker 2: P is largely driven by seven companies, you know, the 164 00:07:26,640 --> 00:07:28,840 Speaker 2: mag seven out there, and they're all technology companies. So 165 00:07:29,160 --> 00:07:31,679 Speaker 2: nobody will escape the ups and downs of this because 166 00:07:31,680 --> 00:07:34,240 Speaker 2: it is just so ingrained in all the technology of 167 00:07:34,280 --> 00:07:35,960 Speaker 2: how we drive the economy forward every day. 168 00:07:36,000 --> 00:07:37,720 Speaker 1: Well, clearly you're going to be watching this as a 169 00:07:37,720 --> 00:07:40,200 Speaker 1: financial planner on behalf of your clients. What does this 170 00:07:40,240 --> 00:07:42,560 Speaker 1: suggest to people who are invested in the markets? Four oh, 171 00:07:42,600 --> 00:07:45,040 Speaker 1: one K and otherwise, I mean, can we get ahead 172 00:07:45,080 --> 00:07:47,400 Speaker 1: of what seems to be the inevitable Brian. 173 00:07:47,280 --> 00:07:50,720 Speaker 2: James, Well, hopefully you're the The inevitable to me is 174 00:07:50,800 --> 00:07:53,760 Speaker 2: the ability for companies to be more efficient. So it 175 00:07:53,760 --> 00:07:55,720 Speaker 2: doesn't really change anything you should be doing now. Now, 176 00:07:55,720 --> 00:07:58,120 Speaker 2: if you're in one of these sectors, if that's your 177 00:07:58,240 --> 00:07:59,920 Speaker 2: job that is threatened by this, well then yeah you 178 00:08:00,080 --> 00:08:02,160 Speaker 2: might want to polish up some skills, maybe find a 179 00:08:02,240 --> 00:08:04,160 Speaker 2: new path. But I'll bet I'll bet that's not news 180 00:08:04,600 --> 00:08:06,559 Speaker 2: to anybody out there who's been paying attention to AI. 181 00:08:07,160 --> 00:08:09,480 Speaker 2: Your graphic designers and those types of roles out there, 182 00:08:09,520 --> 00:08:11,480 Speaker 2: those are the ones probably under threat. I mean, look 183 00:08:11,600 --> 00:08:14,960 Speaker 2: look at how many those commercials were yesterday were designed 184 00:08:14,960 --> 00:08:17,960 Speaker 2: by AI. You can still kind of tell, and I'm 185 00:08:17,960 --> 00:08:21,840 Speaker 2: pretty sure those aren't graphic designers and video specialists putting 186 00:08:21,840 --> 00:08:25,520 Speaker 2: those together anymore. But otherwise, it's a matter of efficiency, 187 00:08:25,520 --> 00:08:27,200 Speaker 2: and these are the types of things that can draw 188 00:08:27,240 --> 00:08:29,840 Speaker 2: the markets up because it's a way for companies to 189 00:08:29,840 --> 00:08:32,679 Speaker 2: save money and make widen that profit margin. At the 190 00:08:32,760 --> 00:08:34,720 Speaker 2: end of the day, that's all that matters. I don't 191 00:08:34,760 --> 00:08:36,920 Speaker 2: always wave the flag with excitement that we have the 192 00:08:36,960 --> 00:08:38,720 Speaker 2: ability to do this because it is going to have 193 00:08:38,720 --> 00:08:41,960 Speaker 2: an impact on a lot of people. So the recommendation 194 00:08:42,080 --> 00:08:44,320 Speaker 2: is no different than ever. Hopefully you've always had a 195 00:08:44,360 --> 00:08:46,720 Speaker 2: backup plan. If you're in one of these careers that 196 00:08:46,840 --> 00:08:50,679 Speaker 2: could be wiped out or at least reduced by AI, 197 00:08:50,840 --> 00:08:53,360 Speaker 2: then I hope there is a plan B in terms of, 198 00:08:53,679 --> 00:08:56,040 Speaker 2: you know, making sure you can get yourself and your 199 00:08:56,040 --> 00:08:59,720 Speaker 2: family through a rough period employment wise. But otherwise this 200 00:08:59,800 --> 00:09:01,800 Speaker 2: is just more things moving the market forward. 201 00:09:01,800 --> 00:09:04,160 Speaker 1: Well, and you know sort of the next tier of that. 202 00:09:04,240 --> 00:09:05,920 Speaker 1: If a lot of people can lose their jobs as 203 00:09:05,960 --> 00:09:07,720 Speaker 1: a consequence of this, that's a lot of people who 204 00:09:07,800 --> 00:09:10,080 Speaker 1: are no longer going to be investing in the market. 205 00:09:10,160 --> 00:09:12,400 Speaker 1: Notwithstanding the fact that the market may be resilient and 206 00:09:12,440 --> 00:09:15,040 Speaker 1: still be an opportunity to grow. You're gonna limit the 207 00:09:15,120 --> 00:09:17,920 Speaker 1: number of people have disposable the come to put away, right, 208 00:09:17,920 --> 00:09:18,480 Speaker 1: and that. 209 00:09:18,440 --> 00:09:21,160 Speaker 2: Will surface politically, I would think all have some kind 210 00:09:21,160 --> 00:09:23,720 Speaker 2: of mass layoffs over these types of things. Then there's 211 00:09:23,760 --> 00:09:25,880 Speaker 2: going to be and then there already are some discussions 212 00:09:25,920 --> 00:09:28,120 Speaker 2: about should there be rules over AI or should we 213 00:09:28,160 --> 00:09:29,920 Speaker 2: just let it be the wild West. Right now, it 214 00:09:29,920 --> 00:09:32,640 Speaker 2: seems like this administration leans toward the wild West in general. 215 00:09:32,720 --> 00:09:36,480 Speaker 2: So I don't anticipate anything huge hitting the floor of 216 00:09:36,520 --> 00:09:38,480 Speaker 2: Congress for them to vote on anymore anytime soon. 217 00:09:38,640 --> 00:09:40,719 Speaker 1: No, And I think part of me wants to say 218 00:09:40,720 --> 00:09:42,240 Speaker 1: that's a good thing, because I don't think our members 219 00:09:42,240 --> 00:09:45,240 Speaker 1: of Congress have any understanding of what this even is, 220 00:09:45,520 --> 00:09:47,240 Speaker 1: let alone I mean to be in a position to 221 00:09:47,320 --> 00:09:51,040 Speaker 1: legislate over it anyhow. Coming up, we'll talk with Brian 222 00:09:51,120 --> 00:09:53,880 Speaker 1: James about healthcare inflation, how it affects you and is 223 00:09:53,880 --> 00:09:57,040 Speaker 1: it possible to even plan for the completely unknown in 224 00:09:57,080 --> 00:10:01,079 Speaker 1: your retirement. That plus, looking forward to the last topic, 225 00:10:01,200 --> 00:10:05,559 Speaker 1: financial infidelity. Are you hidinge? Are are you committing financial 226 00:10:05,559 --> 00:10:09,240 Speaker 1: shenanigans behind your spouse's back? Apparently people are sounds like 227 00:10:09,240 --> 00:10:11,920 Speaker 1: a bad idea. More with Brian James after mentioned Zimmer. Yeah, 228 00:10:12,040 --> 00:10:14,360 Speaker 1: Zimmer Heating and air Conditioning for coming up on eighty years, 229 00:10:14,360 --> 00:10:17,200 Speaker 1: third generation, family and operated Zimmer is there to help 230 00:10:17,240 --> 00:10:20,199 Speaker 1: you deal with the cold weather right. They service all 231 00:10:20,240 --> 00:10:24,520 Speaker 1: makes and models, including they do commercial HVAC work. But 232 00:10:24,640 --> 00:10:27,400 Speaker 1: you know they carry carrier. They're a leading carrier of 233 00:10:27,480 --> 00:10:30,120 Speaker 1: the carrier system. They can get a warm carrier system 234 00:10:30,160 --> 00:10:31,719 Speaker 1: in your home if you have to replace it. You're 235 00:10:31,760 --> 00:10:34,000 Speaker 1: in great hands with Zimmer. They do outstanding work. The 236 00:10:34,000 --> 00:10:37,160 Speaker 1: customer service is fantastic. That's how you stay around for 237 00:10:37,200 --> 00:10:41,800 Speaker 1: eighty years. Congratulations Chris, third generation. To schedule appointment for 238 00:10:41,840 --> 00:10:44,480 Speaker 1: all HVAC needs, it's five one three five to one 239 00:10:44,600 --> 00:10:47,440 Speaker 1: ninety eight ninety three. It's five two one ninety eight 240 00:10:47,520 --> 00:10:50,000 Speaker 1: ninety three. You can schedule appointment online. Learn more about 241 00:10:50,080 --> 00:10:52,040 Speaker 1: Zimmer and what they can do for you and your home. 242 00:10:52,400 --> 00:10:56,920 Speaker 1: Go to go Zimmer. That's go Zimmer dot com. Fifty 243 00:10:56,960 --> 00:11:01,960 Speaker 1: five car the talk station HYR Radio, Leady Talk Station, 244 00:11:02,080 --> 00:11:04,640 Speaker 1: Happy Monday, doing Money Monday with Brian James. From all 245 00:11:04,679 --> 00:11:08,400 Speaker 1: words financial, Brian James, like a peace of God. How 246 00:11:08,480 --> 00:11:11,480 Speaker 1: is it possible to even anticipate what you're gonna need 247 00:11:11,520 --> 00:11:14,760 Speaker 1: by way of medical expenses when you're in retirement? How 248 00:11:14,760 --> 00:11:17,400 Speaker 1: can you possibly prepare for the great unknown? I mean, 249 00:11:18,200 --> 00:11:19,560 Speaker 1: you know, are you going to be healthy or are 250 00:11:19,559 --> 00:11:23,040 Speaker 1: you going to get a cancer diagnosis? And anyway, that's 251 00:11:23,040 --> 00:11:24,280 Speaker 1: where we have you, Brian James. 252 00:11:24,480 --> 00:11:27,480 Speaker 2: Well, the way to anticipate it for most people is 253 00:11:27,520 --> 00:11:29,680 Speaker 2: to anticipate it at all. I think a lot of 254 00:11:29,679 --> 00:11:31,920 Speaker 2: people simply look at well, here's what our spending is on, 255 00:11:32,200 --> 00:11:34,680 Speaker 2: you know, grocery store utilities and vacations and whatever, and 256 00:11:34,720 --> 00:11:36,679 Speaker 2: that must be all that we have to think about. Well, 257 00:11:36,679 --> 00:11:39,040 Speaker 2: that's not really the case. Of course, your healthcare is 258 00:11:39,080 --> 00:11:41,480 Speaker 2: probably as good as it's ever going to get. We 259 00:11:41,520 --> 00:11:43,760 Speaker 2: are all. If you're listening to this show, you are 260 00:11:43,800 --> 00:11:47,800 Speaker 2: probably not getting healthier. You're slowly, slowly getting less healthy. Yes, 261 00:11:48,120 --> 00:11:50,400 Speaker 2: because that's just reality. Let me take it to me 262 00:11:50,559 --> 00:11:54,360 Speaker 2: chiming in based on personal experience. You are right the 263 00:11:54,400 --> 00:11:58,320 Speaker 2: warranty has expired. Yes, did not get that extended warranty? 264 00:11:58,360 --> 00:11:59,959 Speaker 2: Maybe not should That's one of the junk mail things 265 00:12:00,200 --> 00:12:03,000 Speaker 2: have paid attention to. Really, But anyway, so a reason 266 00:12:03,000 --> 00:12:04,800 Speaker 2: we're talking about this today, Barons came out with a 267 00:12:04,800 --> 00:12:07,079 Speaker 2: new article. Not a ton of this information. There's one 268 00:12:07,080 --> 00:12:08,719 Speaker 2: big chunk in here where I'm like, oh, that kind 269 00:12:08,720 --> 00:12:10,199 Speaker 2: of raising my eyebrows a little bit. But most of 270 00:12:10,240 --> 00:12:12,080 Speaker 2: this is how we've been building financial plans for our 271 00:12:12,120 --> 00:12:14,160 Speaker 2: clients for a long time. Hopefully not the only ones 272 00:12:14,200 --> 00:12:16,680 Speaker 2: doing this out there. But the key points out of 273 00:12:16,679 --> 00:12:20,280 Speaker 2: this article from Baron's healthcare inflation is rising faster than 274 00:12:20,360 --> 00:12:23,439 Speaker 2: general inflation GO figure. Official data shows about three and 275 00:12:23,480 --> 00:12:26,440 Speaker 2: a half percent annual inflation on healthcare versus two point 276 00:12:26,480 --> 00:12:29,960 Speaker 2: eight percent for the overall CPI type numbers. But the 277 00:12:30,000 --> 00:12:32,920 Speaker 2: analysts are saying that that the real retiree medical costs 278 00:12:33,000 --> 00:12:36,720 Speaker 2: often rise closer to six percent annually when age related 279 00:12:36,800 --> 00:12:39,560 Speaker 2: usage and insurance premiums are factored in there too. So 280 00:12:40,000 --> 00:12:41,800 Speaker 2: what we've been doing to counteract this for a very 281 00:12:41,840 --> 00:12:44,480 Speaker 2: long time is when we build financial plans for people, 282 00:12:44,559 --> 00:12:46,320 Speaker 2: we will take the data they provide us and figure 283 00:12:46,320 --> 00:12:48,120 Speaker 2: out what is your lifestyle like, and then we're going 284 00:12:48,160 --> 00:12:49,920 Speaker 2: to carve out a separate goal that has nothing to 285 00:12:49,920 --> 00:12:52,040 Speaker 2: do with that, because you already said the reason nobody 286 00:12:52,040 --> 00:12:54,199 Speaker 2: gets to know what this is what their healthcare expenses 287 00:12:54,200 --> 00:12:56,120 Speaker 2: are going to be. So all we can really do 288 00:12:56,240 --> 00:13:00,160 Speaker 2: is rely on Medicare. Medicare the organization has provided I 289 00:13:00,160 --> 00:13:02,839 Speaker 2: did year over year out of pocket costs for people 290 00:13:02,880 --> 00:13:06,200 Speaker 2: for decades now, and that assumes the cost of the 291 00:13:06,200 --> 00:13:08,840 Speaker 2: premiums themselves, which for Medicare is a couple hundred bucks 292 00:13:08,880 --> 00:13:11,520 Speaker 2: now it's over two this year for everybody. And then 293 00:13:11,520 --> 00:13:13,760 Speaker 2: if you have certain types of income, you have irma 294 00:13:13,840 --> 00:13:16,160 Speaker 2: kick in and that might raise that premium a little bit. 295 00:13:16,559 --> 00:13:19,920 Speaker 2: But we also assume alongside of that the cost of 296 00:13:19,920 --> 00:13:23,440 Speaker 2: a supplemental policy. Medicare will cover approximately eighty percent of 297 00:13:23,440 --> 00:13:26,240 Speaker 2: your expenses. A supplemental policy is a choice that you 298 00:13:26,240 --> 00:13:28,920 Speaker 2: will make, but most people do and that'll get the 299 00:13:28,920 --> 00:13:31,160 Speaker 2: extra twenty percent. And then the rest of it is 300 00:13:31,320 --> 00:13:34,800 Speaker 2: out of pocket expenses for office visits and copes and 301 00:13:34,840 --> 00:13:37,160 Speaker 2: all that kind of stuff. So what we normally do 302 00:13:37,240 --> 00:13:40,160 Speaker 2: is we budget about six thousand dollars a month per person, 303 00:13:40,280 --> 00:13:44,280 Speaker 2: so twelve I'm sorry month, six thousand, say boy, yeah, 304 00:13:44,440 --> 00:13:47,760 Speaker 2: buckle your seatbelts. It's all downhill from here. Six thousand 305 00:13:47,880 --> 00:13:51,080 Speaker 2: a year for an individual, so twelve thousand for a 306 00:13:51,080 --> 00:13:53,079 Speaker 2: married couple, and then we inflate that by closer to 307 00:13:53,600 --> 00:13:55,600 Speaker 2: five percent at least. Now this article, where I said 308 00:13:55,640 --> 00:13:57,559 Speaker 2: I was raising my eyebrows a little bit, here's the 309 00:13:57,559 --> 00:13:59,120 Speaker 2: big part that I saw. And this is the first 310 00:13:59,160 --> 00:14:01,720 Speaker 2: reference I've seen to this. Premiums for Medicare Part B 311 00:14:02,679 --> 00:14:06,200 Speaker 2: projected to grow about seven percent annually through twenty thirty four, 312 00:14:06,240 --> 00:14:08,679 Speaker 2: and then the others are closer to five percent. So 313 00:14:08,840 --> 00:14:11,360 Speaker 2: that is the number that is a little larger than 314 00:14:11,400 --> 00:14:14,240 Speaker 2: I have seen recently. But again, if you're planning for it, 315 00:14:14,400 --> 00:14:16,640 Speaker 2: just use different assumptions and make sure you've carved that 316 00:14:16,679 --> 00:14:18,480 Speaker 2: out separately from your living expenses. 317 00:14:18,600 --> 00:14:20,960 Speaker 1: Okay, And it seems to me that you would benefit 318 00:14:21,040 --> 00:14:25,720 Speaker 1: by anticipating a higher percentage jump and bud budgeting for 319 00:14:25,760 --> 00:14:27,720 Speaker 1: that and that way, if you don't have to spend it, 320 00:14:27,760 --> 00:14:29,080 Speaker 1: you don't correct. Yeah. 321 00:14:29,080 --> 00:14:31,160 Speaker 2: Absolutely, And that's true for every last expense. You're ever 322 00:14:31,240 --> 00:14:35,040 Speaker 2: gonna have pack a lot of extra expense in there 323 00:14:35,040 --> 00:14:37,280 Speaker 2: to make sure you've got some fudge factor built into, 324 00:14:37,880 --> 00:14:40,160 Speaker 2: you know, to make sure you can absorb those shocks. Now, 325 00:14:40,200 --> 00:14:43,880 Speaker 2: on the topic of healthcare inflation, one interesting thing that 326 00:14:43,920 --> 00:14:46,480 Speaker 2: I noticed a few years ago when we had crazy 327 00:14:46,520 --> 00:14:49,560 Speaker 2: inflation is that healthcare didn't really move. So when we 328 00:14:49,640 --> 00:14:51,520 Speaker 2: had been nobody was talking about the cost of going 329 00:14:51,520 --> 00:14:53,120 Speaker 2: to the doctor or anything like that. We were all 330 00:14:53,120 --> 00:14:55,280 Speaker 2: talking about eggs in the grocery store and all those things. 331 00:14:55,320 --> 00:14:58,240 Speaker 2: Healthcare really did not rise at all during our crazy 332 00:14:58,240 --> 00:15:00,800 Speaker 2: inflation years not that long ago. So what that tells 333 00:15:00,840 --> 00:15:02,680 Speaker 2: me is, first of all, okay, we can excel a 334 00:15:02,680 --> 00:15:04,360 Speaker 2: little bit. But on the other hand, maybe it was 335 00:15:04,400 --> 00:15:08,480 Speaker 2: overpriced to begin with. Do you think just a little bit, 336 00:15:08,880 --> 00:15:09,400 Speaker 2: you know, it. 337 00:15:09,360 --> 00:15:12,120 Speaker 1: Seems to me there's this mystery about why healthcare is 338 00:15:12,160 --> 00:15:14,440 Speaker 1: so damn expensive. Someone should be able to solve that. 339 00:15:14,560 --> 00:15:17,040 Speaker 2: I think because we have monetized everything that can be 340 00:15:17,120 --> 00:15:19,160 Speaker 2: monetized in this country, and there must be a profit 341 00:15:19,200 --> 00:15:20,440 Speaker 2: margin attached to everything. 342 00:15:20,680 --> 00:15:24,920 Speaker 1: Well, and the legal system they've set up, regulatory and otherwise, 343 00:15:25,000 --> 00:15:27,680 Speaker 1: is I designed to prop that whole mess up from ye? 344 00:15:27,840 --> 00:15:31,400 Speaker 2: Anyhow are the United States a profit margin? Brian Thomas? 345 00:15:31,680 --> 00:15:34,120 Speaker 1: I know, I hate to diss on capitalism, and I'm 346 00:15:34,120 --> 00:15:36,480 Speaker 1: not in favor of socialized medicine because I've seen what 347 00:15:36,480 --> 00:15:38,560 Speaker 1: happens in other countries. Basically you can just give up 348 00:15:38,560 --> 00:15:40,800 Speaker 1: the idea of even getting served by a doctor. But 349 00:15:42,200 --> 00:15:43,760 Speaker 1: this business model is a wreck. I mean, can we 350 00:15:43,800 --> 00:15:47,320 Speaker 1: start just getting rid of PBM's pharmacy Betts benefit managers? 351 00:15:47,400 --> 00:15:48,600 Speaker 1: Let's just start right there. 352 00:15:48,920 --> 00:15:52,240 Speaker 2: Sure, just make sure that whatever Congress people that those 353 00:15:52,360 --> 00:15:54,840 Speaker 2: the owners of those companies have been supporting are on 354 00:15:54,960 --> 00:15:58,280 Speaker 2: board as well. You just hit the nail on the head. 355 00:15:58,320 --> 00:15:59,000 Speaker 2: Brian James. 356 00:15:59,440 --> 00:16:02,320 Speaker 1: Is there such a thing is financial infidelity? Yes, and 357 00:16:02,680 --> 00:16:07,360 Speaker 1: many believe it's just as bad as actually like infidelity cheating. 358 00:16:07,480 --> 00:16:09,400 Speaker 1: We'll talk with Brian James about that one to find 359 00:16:09,400 --> 00:16:10,680 Speaker 1: out if what it's going on in your world that'll 360 00:16:10,720 --> 00:16:14,760 Speaker 1: be next. Don't go way fifty five KRC dot com. 361 00:16:14,840 --> 00:16:15,760 Speaker 2: This simply money Man. 362 00:16:15,840 --> 00:16:19,520 Speaker 1: It is hey twenty nine to think about. KRCY talksas 363 00:16:19,560 --> 00:16:21,800 Speaker 1: a Right Times with Brian James. Money Monday is what 364 00:16:21,840 --> 00:16:24,680 Speaker 1: we called the segment. I was particularly taken by this topic. 365 00:16:24,680 --> 00:16:28,840 Speaker 1: We're gonna be talking about now the idea of I 366 00:16:28,880 --> 00:16:32,400 Speaker 1: guess financial infidelity Brian James just as bad as like 367 00:16:32,480 --> 00:16:36,080 Speaker 1: having sex out of our having sex behind your spouse's 368 00:16:36,120 --> 00:16:38,359 Speaker 1: back is financial secrets. 369 00:16:38,640 --> 00:16:41,880 Speaker 2: Well, you titillating headline here, right, So I got our attention. 370 00:16:41,960 --> 00:16:43,960 Speaker 2: We're gonna talk about on the radio today. But this 371 00:16:44,040 --> 00:16:48,000 Speaker 2: is a survey from bank rate and it basically is 372 00:16:48,120 --> 00:16:52,640 Speaker 2: comparing physical infidelity with financial infidelity. And of course there's 373 00:16:52,680 --> 00:16:54,320 Speaker 2: a survey that goes with this. So there's numbers we 374 00:16:54,360 --> 00:16:57,000 Speaker 2: got to share. Almost one in two US adults and 375 00:16:57,040 --> 00:17:01,120 Speaker 2: committed relationships don't fully share financial deals with their partner. 376 00:17:01,640 --> 00:17:04,040 Speaker 2: You know, that's a big headline number, and that seems wrong. 377 00:17:04,160 --> 00:17:05,960 Speaker 2: But I have a feeling again you're just a person 378 00:17:06,040 --> 00:17:09,000 Speaker 2: reading the survey, and a lot of people would say, well, 379 00:17:09,040 --> 00:17:11,040 Speaker 2: you know, we're in a we're in a good financial situation. 380 00:17:11,080 --> 00:17:12,680 Speaker 2: I don't talk about every single penny I want to 381 00:17:12,680 --> 00:17:14,200 Speaker 2: spend with my spouse because we don't really have to 382 00:17:14,200 --> 00:17:15,879 Speaker 2: worry about that, we don't have to operate that way. 383 00:17:16,040 --> 00:17:18,600 Speaker 2: This is different than I am purposely keeping secrets from 384 00:17:18,640 --> 00:17:22,439 Speaker 2: my spouse because I because I don't want him or 385 00:17:22,440 --> 00:17:25,520 Speaker 2: her to know about these things. But anyway, more survey numbers, 386 00:17:25,520 --> 00:17:28,280 Speaker 2: about forty three percent believe that keeping financial secrets is 387 00:17:28,359 --> 00:17:31,240 Speaker 2: as bad as physical cheating, and about nine percent see 388 00:17:31,280 --> 00:17:33,320 Speaker 2: I think this is the real number, right, That one 389 00:17:33,359 --> 00:17:35,440 Speaker 2: out of two number is that's the eyepopper, But here's 390 00:17:35,440 --> 00:17:39,160 Speaker 2: the real one. About nine percent admit to holding major debts, expenses, 391 00:17:39,280 --> 00:17:42,280 Speaker 2: or income from their partner. That's the to me, that 392 00:17:42,440 --> 00:17:44,800 Speaker 2: is the big headline that isn't quite as big as 393 00:17:44,800 --> 00:17:46,560 Speaker 2: we might want to hope. For those of us looking 394 00:17:46,560 --> 00:17:48,240 Speaker 2: for more salacious details out of these. 395 00:17:48,160 --> 00:17:53,160 Speaker 1: Things, well, the statement in the article financial secrets undermine trust, 396 00:17:53,240 --> 00:17:57,560 Speaker 1: I would argue, no, they spring from a lack of trust. 397 00:17:57,960 --> 00:17:59,680 Speaker 2: Yeah, I would say, hits it six to one a 398 00:17:59,680 --> 00:18:01,560 Speaker 2: half the other You can label it whatever you want. 399 00:18:01,640 --> 00:18:04,359 Speaker 2: Something's broke. So I have one of my favorite war 400 00:18:04,400 --> 00:18:06,720 Speaker 2: stories from doing this job for close to thirty years. 401 00:18:06,760 --> 00:18:09,520 Speaker 2: I shouldn't say favorite because it was a little bit sad, 402 00:18:08,840 --> 00:18:11,080 Speaker 2: but the one that hits closest to home. I had 403 00:18:11,080 --> 00:18:14,040 Speaker 2: a woman about five or six years ago who came 404 00:18:14,119 --> 00:18:17,760 Speaker 2: in just knowing her husband had passed away unexpectedly, and 405 00:18:18,440 --> 00:18:20,640 Speaker 2: she was just sorting through and dealing with his affairs 406 00:18:20,640 --> 00:18:22,760 Speaker 2: and things. She found about eighty thousand dollars worth of 407 00:18:22,760 --> 00:18:26,280 Speaker 2: credit card debt that she had no knowledge. Okay, this 408 00:18:26,359 --> 00:18:28,359 Speaker 2: is what we're talking about here right in what he 409 00:18:28,359 --> 00:18:30,240 Speaker 2: had done. He was down at Turfway. He had run 410 00:18:30,320 --> 00:18:31,919 Speaker 2: up a bunch of bills betting on the horses and 411 00:18:31,960 --> 00:18:35,560 Speaker 2: some other things too, and she was desperate and panicked 412 00:18:35,560 --> 00:18:38,359 Speaker 2: and scared because of course the collection companies had caught wind. 413 00:18:38,520 --> 00:18:42,000 Speaker 2: And so here's an important important tip for anyone who 414 00:18:42,000 --> 00:18:44,439 Speaker 2: finds themselves in this situation. If your name was not 415 00:18:44,560 --> 00:18:46,480 Speaker 2: on that credit card, then it is not your debt. 416 00:18:46,520 --> 00:18:48,960 Speaker 2: Does not marry matter that you were married to this person. 417 00:18:49,240 --> 00:18:52,000 Speaker 2: So we had to react very very quickly when she 418 00:18:52,080 --> 00:18:54,280 Speaker 2: left the voicemail to make sure, because she said something 419 00:18:54,280 --> 00:18:55,560 Speaker 2: about I'm going to call them right now and just 420 00:18:55,560 --> 00:18:57,800 Speaker 2: pay him so they'll leave me alone. She was about 421 00:18:57,800 --> 00:19:00,479 Speaker 2: to spend eighty thousand dollars, so she did not have to. Fortunately, 422 00:19:00,520 --> 00:19:02,119 Speaker 2: we got her in front of a lawyer who explained 423 00:19:02,160 --> 00:19:04,320 Speaker 2: it all. She walked away from the debt, ignored those 424 00:19:04,359 --> 00:19:06,840 Speaker 2: phone calls. But this is what it leads to, right, 425 00:19:06,880 --> 00:19:09,920 Speaker 2: not only the heartbreak of losing a spouse, but uncovering 426 00:19:10,000 --> 00:19:13,240 Speaker 2: what that spouse was involved in, and the worst panicking 427 00:19:13,280 --> 00:19:15,480 Speaker 2: that somehow involves you even though you didn't know. 428 00:19:15,760 --> 00:19:18,760 Speaker 1: Well, you know, I'm old enough to know several friends 429 00:19:18,760 --> 00:19:21,840 Speaker 1: and acquaintances who've ended up getting divorced because of this 430 00:19:21,960 --> 00:19:25,199 Speaker 1: type of thing. One specifically, his wife had racked up 431 00:19:25,240 --> 00:19:27,440 Speaker 1: fifty thousand dollars in a credit card he didn't even 432 00:19:27,440 --> 00:19:29,879 Speaker 1: know she had, and I always scratched my head over that. 433 00:19:29,880 --> 00:19:32,160 Speaker 1: Maybe you just answer the question if you're not buying 434 00:19:32,320 --> 00:19:35,159 Speaker 1: stuff and things with that debt, But for example, if 435 00:19:35,200 --> 00:19:37,439 Speaker 1: you're gambling with it, then I can see how you 436 00:19:37,440 --> 00:19:40,679 Speaker 1: could hide it from your spouse. But I don't recall 437 00:19:40,720 --> 00:19:42,960 Speaker 1: that gambling was involved here. So if your spouse is 438 00:19:43,000 --> 00:19:44,720 Speaker 1: bringing home a bunch of stuff, you might want to 439 00:19:44,720 --> 00:19:46,720 Speaker 1: be account You want might one to account for how 440 00:19:46,760 --> 00:19:49,400 Speaker 1: they acquired it, particularly if you're if you're on a budget. 441 00:19:49,640 --> 00:19:51,159 Speaker 1: I just don't understand how you can get away with 442 00:19:51,240 --> 00:19:53,359 Speaker 1: racking up this kind of debt behind the scenes, unless 443 00:19:53,359 --> 00:19:56,960 Speaker 1: it is it's something you're spending money on that you 444 00:19:57,000 --> 00:19:59,040 Speaker 1: don't have something physical to show for it. 445 00:19:59,080 --> 00:20:01,280 Speaker 2: Right, I mean, this could be trips, it could be 446 00:20:01,600 --> 00:20:03,960 Speaker 2: it could just be cash advances, you know, those kinds 447 00:20:03,960 --> 00:20:06,000 Speaker 2: of things. There are people out there that do this stuff. 448 00:20:06,000 --> 00:20:07,840 Speaker 2: It doesn't all show up in a cardboard box on 449 00:20:07,880 --> 00:20:11,080 Speaker 2: the porch, so you know. But the answer is the same, 450 00:20:11,119 --> 00:20:14,120 Speaker 2: and none of this is surprising. Hopefully the trust is there. 451 00:20:14,119 --> 00:20:16,200 Speaker 2: But at least once a year, sit down with your spouse, 452 00:20:16,240 --> 00:20:18,560 Speaker 2: even if you're in solid financial shape, sit down with 453 00:20:18,560 --> 00:20:21,000 Speaker 2: a spouse and just make sure we know, do an inventory. 454 00:20:21,000 --> 00:20:24,080 Speaker 2: Where is everything? And what is everything? Almost more important 455 00:20:24,119 --> 00:20:25,639 Speaker 2: than where is the what? Why do we have this? 456 00:20:25,680 --> 00:20:28,080 Speaker 2: What is this for? And make sure there's a plan 457 00:20:28,119 --> 00:20:28,480 Speaker 2: for it. 458 00:20:28,520 --> 00:20:30,919 Speaker 1: Isn't that necessarily one of the benefits of having a 459 00:20:30,920 --> 00:20:33,520 Speaker 1: financial planner because you go in there with your spouse 460 00:20:33,560 --> 00:20:35,760 Speaker 1: and you lay it all out for the financial planners 461 00:20:35,760 --> 00:20:37,720 Speaker 1: so you can plan for the future, right, Isn't that? 462 00:20:37,800 --> 00:20:40,360 Speaker 2: Yeah? And here's an example, and this happens more often 463 00:20:40,359 --> 00:20:42,280 Speaker 2: than not. There's no infidelity here, but it's just a 464 00:20:42,359 --> 00:20:44,399 Speaker 2: general we're in good shape, so we don't really pay attention. 465 00:20:44,440 --> 00:20:47,240 Speaker 2: And then sometimes I can uncover some holes in the bucket. 466 00:20:47,560 --> 00:20:50,199 Speaker 2: So for example, people will say, well, we save X 467 00:20:50,200 --> 00:20:53,840 Speaker 2: amount of dollars, so we spend about this much. We 468 00:20:53,880 --> 00:20:55,800 Speaker 2: have this much coming in, so we're saving x amount 469 00:20:55,840 --> 00:20:57,720 Speaker 2: of dollars. Okay, cool, that's great. How long has that 470 00:20:57,760 --> 00:21:00,360 Speaker 2: been the case? A couple three years? Now? Awesome? Where 471 00:21:00,400 --> 00:21:02,560 Speaker 2: are those dollars? Because I don't see it in your 472 00:21:02,560 --> 00:21:04,560 Speaker 2: savings accounts, I don't see it piling up in the bank. 473 00:21:04,800 --> 00:21:07,679 Speaker 2: I don't see credit card debt either necessarily, but I 474 00:21:07,720 --> 00:21:09,879 Speaker 2: think we might be spending more than we're estimating. Now. 475 00:21:09,880 --> 00:21:12,120 Speaker 2: That is not that has nothing to do with infidelity. 476 00:21:12,280 --> 00:21:14,239 Speaker 2: That just has to do with how easy it is 477 00:21:14,280 --> 00:21:17,399 Speaker 2: for even well meaning, well intentioned people to take their 478 00:21:17,440 --> 00:21:19,600 Speaker 2: eyes off the ball. Because if there isn't a financial 479 00:21:19,600 --> 00:21:21,879 Speaker 2: problem brewing, if I've got enough money in my checking account, 480 00:21:21,920 --> 00:21:24,360 Speaker 2: then whatever I'm doing might be working must be working fine. 481 00:21:24,359 --> 00:21:26,119 Speaker 2: Therefore I don't have to make any changes. But you 482 00:21:26,160 --> 00:21:28,120 Speaker 2: got to step way back from those trees to see 483 00:21:28,119 --> 00:21:28,720 Speaker 2: the whole forest. 484 00:21:29,000 --> 00:21:30,560 Speaker 1: Well, you know, a couple of the points that were 485 00:21:30,600 --> 00:21:33,480 Speaker 1: made in the article, like credit card statements can reveal 486 00:21:33,680 --> 00:21:36,160 Speaker 1: maybe that your spouse is having an affair, because why 487 00:21:36,280 --> 00:21:38,920 Speaker 1: you have a hotel credit charge on your credit card? 488 00:21:39,400 --> 00:21:42,359 Speaker 1: You know, I had a business meeting that day. Remember 489 00:21:42,400 --> 00:21:43,960 Speaker 1: I was at a business meeting to find out, Oh no, 490 00:21:44,800 --> 00:21:46,880 Speaker 1: you're with some other person at a hotel room. 491 00:21:46,880 --> 00:21:47,320 Speaker 2: That's one thing. 492 00:21:47,320 --> 00:21:50,000 Speaker 1: But how does one take out a home equity line 493 00:21:50,000 --> 00:21:51,200 Speaker 1: of credit in secret? 494 00:21:52,200 --> 00:21:54,359 Speaker 2: You know these? But well, sometimes it can be just 495 00:21:54,400 --> 00:21:56,520 Speaker 2: by convincing a spouse, Hey, I do all the financial stuff. 496 00:21:56,520 --> 00:21:57,879 Speaker 2: Here's just a little thing we got to do, so 497 00:21:57,960 --> 00:21:59,320 Speaker 2: just sign here and I'll take it. And you know, 498 00:21:59,359 --> 00:22:01,480 Speaker 2: one while other spouse is dealing with the kids, there 499 00:22:01,480 --> 00:22:03,199 Speaker 2: are fifty other things. Fine, I'll just sign my name 500 00:22:03,240 --> 00:22:05,119 Speaker 2: and walk off, walk away with it. Be careful with 501 00:22:05,160 --> 00:22:08,159 Speaker 2: those kinds of things, of course, because they're you know, 502 00:22:08,720 --> 00:22:10,840 Speaker 2: that is how it comes up right, and it might 503 00:22:11,280 --> 00:22:13,480 Speaker 2: again it might even be well intentioned, or it could 504 00:22:13,480 --> 00:22:15,359 Speaker 2: have been. In that example, a home equity line that 505 00:22:15,440 --> 00:22:16,879 Speaker 2: was signed for seven or eight years to go to 506 00:22:16,880 --> 00:22:18,960 Speaker 2: buy a car or something legit and has just been 507 00:22:19,000 --> 00:22:21,879 Speaker 2: sitting undrawn and nobody thinks about it anymore. Well, that 508 00:22:21,880 --> 00:22:23,800 Speaker 2: can be a resource for that spouse who maybe doesn't 509 00:22:23,840 --> 00:22:26,880 Speaker 2: have the best of intentions. Fair enough, Brian James, appreciate 510 00:22:26,920 --> 00:22:29,080 Speaker 2: all the information you give us every Monday for Monday Monday. 511 00:22:29,119 --> 00:22:32,119 Speaker 2: I appreciate all worth loaning you out for this particular segment, 512 00:22:32,119 --> 00:22:33,879 Speaker 2: and I'll look forward to having another conversation with you 513 00:22:33,960 --> 00:22:36,160 Speaker 2: next Monday. My friend, sounds good today, warm. We'll talk 514 00:22:36,160 --> 00:22:37,280 Speaker 2: to you in a week, all right, look forward to it. 515 00:22:37,280 --> 00:22:37,760 Speaker 2: Eight thirty five. 516 00:22:37,840 --> 00:22:39,760 Speaker 1: Right now, if you have KARS the talk station, krsit 517 00:22:39,920 --> 00:22:42,680 Speaker 1: cares Chris Kluk. Since Ava has got lots of things, 518 00:22:42,800 --> 00:22:44,800 Speaker 1: let you know about my veteran friends. Who's going to 519 00:22:44,880 --> 00:22:47,600 Speaker 1: be in the studio to talk about that stuff next? 520 00:22:47,760 --> 00:22:48,800 Speaker 1: I hope you can stick around. 521 00:22:48,960 --> 00:22:53,000 Speaker 2: This is fifty five KARC an iHeartRadio station paid for