1 00:00:06,920 --> 00:00:11,400 Speaker 1: Tonight, what in the world is Anthropic and more importantly, 2 00:00:11,480 --> 00:00:14,640 Speaker 1: why does the market care? You're listening to Simply Money, 3 00:00:14,720 --> 00:00:17,360 Speaker 1: presented by all Worth Financial on Bob Sponsorller along with 4 00:00:17,400 --> 00:00:20,560 Speaker 1: Brian James. You may have heard the name a lot 5 00:00:20,680 --> 00:00:24,439 Speaker 1: lately if you follow financial media at all. The company 6 00:00:24,480 --> 00:00:27,640 Speaker 1: called Anthropic. It's not a public company, you can't buy 7 00:00:27,720 --> 00:00:31,000 Speaker 1: the stock, and yet markets are reacting to what they're 8 00:00:31,040 --> 00:00:34,320 Speaker 1: doing pretty much every day. So what is it, why 9 00:00:34,360 --> 00:00:37,720 Speaker 1: does Wall Street care? And how is it different from 10 00:00:37,760 --> 00:00:42,240 Speaker 1: other AI companies? And more importantly, what should you actually 11 00:00:42,240 --> 00:00:45,760 Speaker 1: be doing about it within your portfolio. Let's get into this, Brian, 12 00:00:45,800 --> 00:00:48,159 Speaker 1: because this is a good discussion I think on just 13 00:00:48,240 --> 00:00:52,080 Speaker 1: the status of AI and where it's headed and what 14 00:00:52,120 --> 00:00:54,400 Speaker 1: we need to be thinking about here looking into the future. 15 00:00:55,640 --> 00:00:58,960 Speaker 2: So Anthropic this is another AI tool, but it's a 16 00:00:58,960 --> 00:01:01,720 Speaker 2: little bit different this time. Thropic is an artificial intelligence 17 00:01:01,720 --> 00:01:05,600 Speaker 2: company founded by former open AI researchers. Those are the 18 00:01:05,600 --> 00:01:09,000 Speaker 2: folks behind chatchpt, which was not the only but the 19 00:01:09,360 --> 00:01:11,080 Speaker 2: first one that kind of started all this a few 20 00:01:11,120 --> 00:01:14,039 Speaker 2: years ago. Well, they all left to build what they 21 00:01:14,160 --> 00:01:17,679 Speaker 2: describe as a safer, more controllable AI system. So for 22 00:01:17,800 --> 00:01:19,080 Speaker 2: I think there's a lot of people are aware, but 23 00:01:19,120 --> 00:01:21,400 Speaker 2: there are some concerns out there that AI could become 24 00:01:21,440 --> 00:01:24,720 Speaker 2: a little too independent and start doing things that maybe 25 00:01:24,720 --> 00:01:27,720 Speaker 2: it wasn't intended to do, and so they wanted to 26 00:01:27,760 --> 00:01:31,720 Speaker 2: design a tool that could be controlled and remove some 27 00:01:31,800 --> 00:01:34,000 Speaker 2: of those risks. And this is called claud that's their 28 00:01:34,040 --> 00:01:37,039 Speaker 2: flagship AI model. You might have seen advertisements for it 29 00:01:37,120 --> 00:01:38,760 Speaker 2: during the Super Bowl and starting to see. 30 00:01:38,560 --> 00:01:41,600 Speaker 3: Commercials and ads online a lot of places too. 31 00:01:41,920 --> 00:01:45,240 Speaker 2: Really a direct competitor to chat GPT, but they're not identical. 32 00:01:45,520 --> 00:01:47,920 Speaker 2: Here's the key difference. As I mentioned, you know, and 33 00:01:47,960 --> 00:01:51,600 Speaker 2: Thropic has positioned itself around safety, alignment. 34 00:01:51,080 --> 00:01:53,080 Speaker 3: With human goals and controllability. 35 00:01:53,280 --> 00:01:56,520 Speaker 2: They're hyper focused on making sure advanced AI systems again 36 00:01:56,600 --> 00:01:59,560 Speaker 2: behave predictably don't go off the rails. Now, ironically this 37 00:01:59,640 --> 00:02:02,080 Speaker 2: is this is one of the things that just hit 38 00:02:02,080 --> 00:02:04,760 Speaker 2: the headlines the other day because our Secretary of Defense 39 00:02:05,000 --> 00:02:07,160 Speaker 2: or or whatever we're calling in this week would very 40 00:02:07,200 --> 00:02:10,120 Speaker 2: much like them to remove these guardrails so that they can. 41 00:02:10,040 --> 00:02:13,120 Speaker 3: Use the tool for the military in just different manners. 42 00:02:13,680 --> 00:02:15,560 Speaker 2: But anyway, that's how big of a that's how much 43 00:02:15,560 --> 00:02:18,359 Speaker 2: attention it's gotten that positioning has attracted a lot of money. 44 00:02:18,440 --> 00:02:21,280 Speaker 2: Amazon is involved with billions of dollars. Google is involved 45 00:02:21,320 --> 00:02:21,680 Speaker 2: as well. 46 00:02:22,840 --> 00:02:23,480 Speaker 3: Who's who of. 47 00:02:23,520 --> 00:02:26,959 Speaker 2: Venture capital firms are there as well. It's currently privately held, 48 00:02:27,440 --> 00:02:29,520 Speaker 2: but it really is in the middle of all of this, 49 00:02:29,639 --> 00:02:32,600 Speaker 2: and that's why markets are interested because this is again 50 00:02:32,639 --> 00:02:35,760 Speaker 2: a tool that could drive profit margin for many other 51 00:02:35,800 --> 00:02:36,560 Speaker 2: industries as well. 52 00:02:37,639 --> 00:02:39,440 Speaker 1: Yeah, and I think this is a good time to 53 00:02:39,480 --> 00:02:42,800 Speaker 1: point out, just to reiterate, you know, there's layers to 54 00:02:42,880 --> 00:02:46,520 Speaker 1: this whole AI story. You've got the infrastructure companies, the 55 00:02:46,560 --> 00:02:50,919 Speaker 1: companies like Navidia, the other chip makers, data centers. Then 56 00:02:50,960 --> 00:02:54,800 Speaker 1: you've got the platform companies like Microsoft, Google and Amazon. 57 00:02:55,400 --> 00:02:58,200 Speaker 1: And then you have these model developers like we're talking 58 00:02:58,200 --> 00:03:04,239 Speaker 1: about right now, Open Ai, Anthropic and others. And as 59 00:03:04,280 --> 00:03:07,160 Speaker 1: you said, you know they're trying Anthropic is trying to 60 00:03:07,200 --> 00:03:12,760 Speaker 1: differentiate itself by putting more training models into this thing too. 61 00:03:13,400 --> 00:03:16,160 Speaker 1: And I think I think it makes sense, Brian, because 62 00:03:16,200 --> 00:03:21,120 Speaker 1: as companies and the government, anybody that's that's that's trying 63 00:03:21,160 --> 00:03:23,640 Speaker 1: to use the these AI tools, and let's face it, 64 00:03:23,720 --> 00:03:26,359 Speaker 1: everybody is going there because it's going to be a 65 00:03:26,400 --> 00:03:31,799 Speaker 1: tremendous productivity gainer here. I think people are worried about 66 00:03:31,880 --> 00:03:35,640 Speaker 1: systemic risk in their companies. Meaning if you just let 67 00:03:35,680 --> 00:03:39,200 Speaker 1: these models go, you know, half cocked, and everybody's out 68 00:03:39,200 --> 00:03:42,800 Speaker 1: there using them, there's no guarantee that what employees are 69 00:03:42,840 --> 00:03:45,880 Speaker 1: finding when they do searches in these AI models is 70 00:03:45,920 --> 00:03:48,760 Speaker 1: going to be one hundred percent correct. And then if 71 00:03:49,000 --> 00:03:51,880 Speaker 1: people just take that information that spits out and runs 72 00:03:51,880 --> 00:03:55,760 Speaker 1: with it, well, that opens up companies to litigation and 73 00:03:55,880 --> 00:03:58,400 Speaker 1: legal problems that they want to avoid. So it's just 74 00:03:58,800 --> 00:04:02,560 Speaker 1: it's just a you know, broadly expected evolution here in 75 00:04:02,640 --> 00:04:06,160 Speaker 1: how these models are built out, because it all comes 76 00:04:06,240 --> 00:04:09,560 Speaker 1: down to what the models are doing. Are the quote 77 00:04:09,640 --> 00:04:14,160 Speaker 1: unquote facts being spit out accurate, accurately, and to make 78 00:04:14,200 --> 00:04:18,520 Speaker 1: sure people can actually use this as a reliable source 79 00:04:18,560 --> 00:04:22,760 Speaker 1: of information and make the work environment more productive. It's 80 00:04:23,040 --> 00:04:26,240 Speaker 1: going to be an ongoing discussion and development and very 81 00:04:26,240 --> 00:04:29,560 Speaker 1: interesting to watch here as the months and years tick by. 82 00:04:30,480 --> 00:04:32,440 Speaker 2: So yeah, and I think the buzzwords you're going to 83 00:04:32,480 --> 00:04:36,279 Speaker 2: be hearing about Claude and these types of tools versus 84 00:04:36,320 --> 00:04:41,240 Speaker 2: the first wave of chat GPT type tools is constitutional AI. 85 00:04:41,680 --> 00:04:44,600 Speaker 2: So this is an alignment methodology and it was developed 86 00:04:44,600 --> 00:04:47,320 Speaker 2: by Anthropic but it's geared toward it. It basically has 87 00:04:47,360 --> 00:04:50,360 Speaker 2: to follow a constitution. It's like a country does so 88 00:04:50,920 --> 00:04:54,440 Speaker 2: for instead of relying only on human beings who teach 89 00:04:54,440 --> 00:04:56,840 Speaker 2: it whatever they want it to think, what it will 90 00:04:56,880 --> 00:04:59,440 Speaker 2: do is it has to follow rules. Again, this is 91 00:04:59,480 --> 00:05:01,640 Speaker 2: really just if we read through these, it's really just 92 00:05:01,680 --> 00:05:04,200 Speaker 2: like any set of laws a country might set up, 93 00:05:04,520 --> 00:05:09,599 Speaker 2: so things like avoid harm, respecting human autonomy, provide accurate information, 94 00:05:10,040 --> 00:05:14,200 Speaker 2: refusing assistance and wrongdoing, and being transparent about uncertainty. So 95 00:05:14,480 --> 00:05:17,280 Speaker 2: all this sounds great constitutional AI that we can build 96 00:05:17,279 --> 00:05:20,000 Speaker 2: AI tools based off of this, But at the same time, 97 00:05:20,080 --> 00:05:24,480 Speaker 2: the pessimist in me remembers the time when Google came 98 00:05:24,560 --> 00:05:26,880 Speaker 2: out with their original slogan of do No Evil and 99 00:05:26,920 --> 00:05:29,560 Speaker 2: then that eventually just kind of sort of disappeared, maybe 100 00:05:29,600 --> 00:05:32,280 Speaker 2: a decade or ago. So at the end of the day, 101 00:05:32,920 --> 00:05:36,279 Speaker 2: whether they stick to these rules is a different story. 102 00:05:36,440 --> 00:05:39,520 Speaker 2: But at the moment, the advantage that or the interest 103 00:05:39,600 --> 00:05:42,159 Speaker 2: that is being generated in anthropic comes from this idea 104 00:05:42,200 --> 00:05:44,560 Speaker 2: that the whole tool is built off of this kind 105 00:05:44,600 --> 00:05:47,839 Speaker 2: of constitution that is there to protect the human aspect. 106 00:05:48,120 --> 00:05:51,520 Speaker 2: This is different from the human feedback processes that chat 107 00:05:51,600 --> 00:05:55,480 Speaker 2: Gypt follows, So human feedback means that human annotators are 108 00:05:55,520 --> 00:05:58,000 Speaker 2: ranking the outputs and they are the ones designing what 109 00:05:58,040 --> 00:06:01,040 Speaker 2: the tools think. In the chat Gypt world, there's oftentimes 110 00:06:01,040 --> 00:06:04,000 Speaker 2: a reward model that is somehow trained from those rankings, 111 00:06:04,080 --> 00:06:05,680 Speaker 2: so you can guide it to do whatever you want 112 00:06:05,720 --> 00:06:07,600 Speaker 2: to do. That's why we hear these We constantly hear 113 00:06:07,640 --> 00:06:10,920 Speaker 2: these hallucinations that come out of the various AI tools, 114 00:06:10,960 --> 00:06:13,480 Speaker 2: And sometimes Groc will come out and say things against 115 00:06:13,480 --> 00:06:16,200 Speaker 2: Elon Musk because somebody has trained it to attack him. 116 00:06:16,720 --> 00:06:18,960 Speaker 2: So but anyway, the base model is fine tuned to 117 00:06:19,000 --> 00:06:22,320 Speaker 2: maximize these rewards. That's the human feedback version of it 118 00:06:22,560 --> 00:06:24,719 Speaker 2: versus something that has a set of laws that it 119 00:06:24,760 --> 00:06:26,960 Speaker 2: has to government. All this stuff is pretty up in 120 00:06:27,000 --> 00:06:30,000 Speaker 2: the clouds type of things. But the point of this 121 00:06:30,200 --> 00:06:33,640 Speaker 2: is Claude and Anthropic are out there on more on 122 00:06:33,680 --> 00:06:36,919 Speaker 2: the cutting edge of addressing directly some of the primary 123 00:06:37,000 --> 00:06:39,320 Speaker 2: major concerns that exist right now around AI. 124 00:06:40,160 --> 00:06:42,200 Speaker 1: Well in the recent news, I mean, in fact, just 125 00:06:42,360 --> 00:06:47,320 Speaker 1: yesterday there were new updates posted to this Claude cowork 126 00:06:47,640 --> 00:06:51,240 Speaker 1: you know AI system that allows companies to integrate that 127 00:06:51,400 --> 00:06:55,880 Speaker 1: productivity tool into a host of various enterprise apps such 128 00:06:55,920 --> 00:07:01,400 Speaker 1: as Saleforce, Salesforce owns slack into it, which does our 129 00:07:01,520 --> 00:07:05,800 Speaker 1: tax returns DocuSign Brian that we use all the time 130 00:07:05,880 --> 00:07:09,440 Speaker 1: here at all Worth Legal Zoom fact set, and you've 131 00:07:09,440 --> 00:07:14,520 Speaker 1: already mentioned Google's Gmail. Dave Hatter, our tech expert, has 132 00:07:14,600 --> 00:07:18,360 Speaker 1: been warning us up and down about what Google is 133 00:07:18,440 --> 00:07:21,280 Speaker 1: now able to do and it could get a little 134 00:07:21,280 --> 00:07:25,200 Speaker 1: bit scary. So yeah, this stuff is now filtering into 135 00:07:25,240 --> 00:07:29,880 Speaker 1: these enterprise applications and it'll be real interesting to see, 136 00:07:29,960 --> 00:07:32,560 Speaker 1: you know, how the markets react because you know, this 137 00:07:32,640 --> 00:07:36,840 Speaker 1: is still a huge capital expenditure story. I mean, Amazon 138 00:07:36,960 --> 00:07:42,200 Speaker 1: is investing billions into anthropic Google. They've invested billions, and 139 00:07:42,280 --> 00:07:45,320 Speaker 1: when those big companies do that, that tells the market 140 00:07:45,480 --> 00:07:51,120 Speaker 1: something important. These hyper scalers believe AI infrastructure and model 141 00:07:51,160 --> 00:07:55,239 Speaker 1: development are going to be absolutely core to their future 142 00:07:55,280 --> 00:07:59,280 Speaker 1: revenue stream, and that's what's impacting the markets right now. 143 00:07:59,320 --> 00:08:02,200 Speaker 1: And we've seen a pullback in some of these big 144 00:08:02,240 --> 00:08:05,720 Speaker 1: cap tech stocks because you know, the valuations just got 145 00:08:05,720 --> 00:08:08,160 Speaker 1: a little bit ahead of themselves here as we've seen 146 00:08:08,280 --> 00:08:12,160 Speaker 1: with fourth quarter earning season, and you know, people are 147 00:08:12,160 --> 00:08:15,000 Speaker 1: gonna put their money where it's treated best, and we've 148 00:08:15,040 --> 00:08:18,080 Speaker 1: seen a broadening out of the market you know, we've 149 00:08:18,120 --> 00:08:22,440 Speaker 1: talked about how international stocks have done well, emerging markets 150 00:08:22,560 --> 00:08:26,120 Speaker 1: stocks have done well. People are gonna shift money where 151 00:08:26,160 --> 00:08:29,960 Speaker 1: they can get good growth at a reasonable price, and 152 00:08:30,000 --> 00:08:32,959 Speaker 1: that's why the market has started to broaden out here. 153 00:08:33,760 --> 00:08:36,680 Speaker 1: It's just gonna be interesting to watch because just like 154 00:08:36,760 --> 00:08:40,600 Speaker 1: when the Internet came out, everybody got stoked about the 155 00:08:40,600 --> 00:08:44,560 Speaker 1: Internet infrastructure stuff, and there were winners and losers, but 156 00:08:45,040 --> 00:08:47,600 Speaker 1: all the winners at the end of the day were 157 00:08:47,720 --> 00:08:51,000 Speaker 1: companies that were able to integrate the Internet and the 158 00:08:51,200 --> 00:08:56,440 Speaker 1: use of the Internet as a productivity tool for their company. 159 00:08:57,080 --> 00:08:59,360 Speaker 1: And Brian, I think that's what we're gonna see over 160 00:08:59,360 --> 00:09:02,800 Speaker 1: the next two three five years as companies either have 161 00:09:02,920 --> 00:09:06,920 Speaker 1: to adopt this new technology some way that hopefully is 162 00:09:07,000 --> 00:09:11,160 Speaker 1: accurate and helpful for their business and doesn't expose them 163 00:09:11,200 --> 00:09:13,480 Speaker 1: to undo risk, or they're going to get left behind. 164 00:09:14,280 --> 00:09:16,120 Speaker 2: So why are we talking about this today, Well, of 165 00:09:16,120 --> 00:09:18,880 Speaker 2: course it's a headline and it does drive the markets 166 00:09:18,920 --> 00:09:21,280 Speaker 2: that this is. Of course, the topic of AI has 167 00:09:21,320 --> 00:09:23,439 Speaker 2: been the hot topic for the last couple of years, 168 00:09:23,880 --> 00:09:26,839 Speaker 2: and we've got another branch of it here with anthropics. 169 00:09:26,360 --> 00:09:28,920 Speaker 3: Tools that they've rolled out. But what we shouldn't do 170 00:09:29,280 --> 00:09:31,720 Speaker 3: is chase it. You can't buy Anthropic anyway. It won't 171 00:09:31,760 --> 00:09:33,440 Speaker 3: be the only one out there doing this. There will 172 00:09:33,440 --> 00:09:34,640 Speaker 3: be copycats along the way. 173 00:09:34,840 --> 00:09:38,480 Speaker 2: Anthropic again is a excuse me, private backed of the 174 00:09:38,640 --> 00:09:41,000 Speaker 2: venture capital backed company right now. 175 00:09:41,559 --> 00:09:42,800 Speaker 3: By the time a. 176 00:09:42,800 --> 00:09:45,600 Speaker 2: Lot of these private opportunities reach individuals that the risk 177 00:09:45,640 --> 00:09:48,920 Speaker 2: return profile, the upsidle of oftentimes has been already sucked 178 00:09:48,920 --> 00:09:52,040 Speaker 2: out because the early stage capital gets involved. 179 00:09:52,040 --> 00:09:54,319 Speaker 3: So don't really think about this as something you should 180 00:09:54,320 --> 00:09:56,560 Speaker 3: go chase and understand the exposure. 181 00:09:56,559 --> 00:09:58,520 Speaker 2: More importantly, if you already have a broad S and 182 00:09:58,520 --> 00:10:00,640 Speaker 2: P five hundred index fund, as most those people do, 183 00:10:00,760 --> 00:10:02,520 Speaker 2: or something that looks like it, you already have a 184 00:10:02,559 --> 00:10:03,920 Speaker 2: lot of significant AI exposure. 185 00:10:03,920 --> 00:10:05,320 Speaker 3: A matter of fact, I'll go ahead and there you 186 00:10:05,400 --> 00:10:07,360 Speaker 3: might have too much, right exactly. 187 00:10:07,440 --> 00:10:10,199 Speaker 2: Yeah, it's going to be impossible to avoid it. So 188 00:10:10,280 --> 00:10:14,160 Speaker 2: don't overthink this. If you own tech heavy funds. Again, 189 00:10:14,320 --> 00:10:16,400 Speaker 2: the S and P itself is tech heavy because that's 190 00:10:16,400 --> 00:10:17,880 Speaker 2: just where all the growth has been over the last 191 00:10:17,880 --> 00:10:20,760 Speaker 2: thirty years. But if you own a specific technology fund 192 00:10:21,120 --> 00:10:23,400 Speaker 2: that has done well, really well these last couple of years, 193 00:10:23,520 --> 00:10:25,960 Speaker 2: well you can almost garan darn tee that it is 194 00:10:26,080 --> 00:10:29,000 Speaker 2: chock full of AI companies like Nvidio and all the 195 00:10:29,040 --> 00:10:31,959 Speaker 2: supporting players there too. So you just might want to 196 00:10:32,000 --> 00:10:33,960 Speaker 2: make sure you do one of those X ray type 197 00:10:34,000 --> 00:10:36,600 Speaker 2: analyzes where if you've got ten different mutual funds out 198 00:10:36,600 --> 00:10:39,040 Speaker 2: there and five of them are all invested in the 199 00:10:39,040 --> 00:10:41,280 Speaker 2: same things, then you may not be as diversified as 200 00:10:41,320 --> 00:10:43,160 Speaker 2: you think you are. So you probably want to take 201 00:10:43,200 --> 00:10:46,080 Speaker 2: a look at not only the high level description of 202 00:10:46,120 --> 00:10:48,599 Speaker 2: the fund, more importantly, what are the holdings underneath it, 203 00:10:48,640 --> 00:10:50,720 Speaker 2: and when you smush it all together in one portfolio, 204 00:10:50,920 --> 00:10:52,080 Speaker 2: what does it actually look like. 205 00:10:52,160 --> 00:10:53,920 Speaker 3: How exposed are you in these areas? 206 00:10:54,920 --> 00:10:57,160 Speaker 1: Yeah, Brian, one way to stress test this, I'd be 207 00:10:57,200 --> 00:10:59,480 Speaker 1: interested in your thoughts is, you know, you take some 208 00:10:59,600 --> 00:11:04,000 Speaker 1: of these funds or ets that are highly allocated allocated 209 00:11:04,040 --> 00:11:07,720 Speaker 1: toward these tech growth names, and go look back do 210 00:11:07,840 --> 00:11:11,400 Speaker 1: a stress test of how it performed back during the 211 00:11:11,400 --> 00:11:14,120 Speaker 1: tech bubble, you know, the early two thousands. I'm not 212 00:11:14,280 --> 00:11:17,480 Speaker 1: calling for an eighty percent decline in the NASDAC, but 213 00:11:17,600 --> 00:11:21,480 Speaker 1: I think people that want to understand how a significant 214 00:11:21,520 --> 00:11:24,600 Speaker 1: downturn in the in the market might impact their current 215 00:11:24,679 --> 00:11:28,000 Speaker 1: portfolio maybe go back and stress test how some of 216 00:11:28,040 --> 00:11:32,079 Speaker 1: these growth funds did during a significant market decline because 217 00:11:32,080 --> 00:11:35,120 Speaker 1: we really haven't had one of those to speak of 218 00:11:35,320 --> 00:11:38,559 Speaker 1: since the two thousand and eight you know, housing crisis, 219 00:11:38,600 --> 00:11:41,520 Speaker 1: And sometimes people get lulled to sleep a little bit 220 00:11:41,640 --> 00:11:46,360 Speaker 1: and don't understand how much potential volatility is sitting there, 221 00:11:47,440 --> 00:11:49,600 Speaker 1: you know, just festering in their portfolio. 222 00:11:50,360 --> 00:11:52,600 Speaker 2: Yeah, I guess my thought on that, to add to 223 00:11:52,640 --> 00:11:54,040 Speaker 2: that a little bit would be, it's gonna it's gonna 224 00:11:54,040 --> 00:11:56,599 Speaker 2: be a little tough to stress test purely the way 225 00:11:56,360 --> 00:11:59,200 Speaker 2: the way you might be thinking, because these companies didn't 226 00:11:59,200 --> 00:12:01,680 Speaker 2: exist or didn't exist in their current format and video 227 00:12:01,880 --> 00:12:05,440 Speaker 2: was a video game a video card manufacturer twenty twenty 228 00:12:05,440 --> 00:12:08,240 Speaker 2: five years ago, So it's not gonna you can't really 229 00:12:08,280 --> 00:12:10,240 Speaker 2: look at that directly and say this is how AI 230 00:12:10,320 --> 00:12:12,400 Speaker 2: reacted twenty five years ago because it didn't exist. What 231 00:12:12,480 --> 00:12:14,320 Speaker 2: you can do is figure out what the bubble of 232 00:12:14,360 --> 00:12:17,160 Speaker 2: the time was and what did the valuations get to. Right, 233 00:12:17,400 --> 00:12:20,280 Speaker 2: So how far ahead was it on PE ratios or 234 00:12:20,320 --> 00:12:21,280 Speaker 2: other ratios if. 235 00:12:21,160 --> 00:12:22,600 Speaker 3: These are not profitable companies. 236 00:12:22,960 --> 00:12:26,199 Speaker 1: Really, that was really the point I was making is 237 00:12:26,320 --> 00:12:29,800 Speaker 1: valuations got severely out of whack in some of these 238 00:12:29,880 --> 00:12:34,640 Speaker 1: companies and sectors. And so, yeah, different technology, but similar. 239 00:12:34,320 --> 00:12:37,320 Speaker 2: Story bubbles or bubbles, the herds dampedes in and it's 240 00:12:37,400 --> 00:12:40,040 Speaker 2: dampedes out. So learn that kind of history and will 241 00:12:40,080 --> 00:12:41,720 Speaker 2: go a long way to helping you what to expect 242 00:12:41,760 --> 00:12:42,040 Speaker 2: with AI. 243 00:12:42,640 --> 00:12:46,480 Speaker 1: Absolutely, here's the all Worth advice. When innovation excites the market, 244 00:12:47,080 --> 00:12:51,800 Speaker 1: don't chase the story. Evaluate your exposure because, after all, 245 00:12:51,960 --> 00:12:58,040 Speaker 1: participation does build wealth, but over concentration can potentially put 246 00:12:58,080 --> 00:13:01,679 Speaker 1: your wealth at risk coming out next y. Saving for 247 00:13:01,840 --> 00:13:05,720 Speaker 1: healthcare costs in retirement might not be enough. The most 248 00:13:05,760 --> 00:13:08,800 Speaker 1: important step people need to take when we come back. 249 00:13:09,000 --> 00:13:11,720 Speaker 1: You're listening to Simply Money presented by all Worth Financial 250 00:13:11,800 --> 00:13:18,880 Speaker 1: on fifty five KRC, the talk station. You're listening to 251 00:13:18,920 --> 00:13:22,040 Speaker 1: Simply Money presented by all Worth Financial. I'm Bob Sponsller 252 00:13:22,160 --> 00:13:24,880 Speaker 1: along with Brian James. Hey, if you can't listen to 253 00:13:24,920 --> 00:13:28,640 Speaker 1: Simply Money every night, subscribe and get our daily podcast. 254 00:13:28,840 --> 00:13:32,160 Speaker 1: Just search Simply Money on the iHeart app or wherever 255 00:13:32,280 --> 00:13:37,120 Speaker 1: you find your podcast is sitting on cash costing you 256 00:13:37,240 --> 00:13:41,080 Speaker 1: long term growth? Is the AI boom just a big bubble? 257 00:13:41,760 --> 00:13:44,240 Speaker 1: And what if you're stuck with big capital gains in 258 00:13:44,320 --> 00:13:48,600 Speaker 1: your portfolio and staring down retirement in just three years? 259 00:13:48,679 --> 00:13:50,880 Speaker 1: We're going to tackle hopefully all of that and more 260 00:13:51,200 --> 00:13:55,000 Speaker 1: straight ahead. It's six forty three. Now to a concerning 261 00:13:55,080 --> 00:13:58,960 Speaker 1: statistic as it relates to healthcare costs, one in five 262 00:13:59,080 --> 00:14:02,440 Speaker 1: Americans say they have not considered at all the cost 263 00:14:02,520 --> 00:14:07,719 Speaker 1: of health care during their retirement, according to Fidelity Investments' 264 00:14:07,960 --> 00:14:13,040 Speaker 1: latest Retireing Healthcare Cost Estimate, Brian, this is an important 265 00:14:13,160 --> 00:14:17,160 Speaker 1: part of everyone's financial plan, so it's worth talking about here. 266 00:14:18,360 --> 00:14:20,320 Speaker 3: So this is a number that we talk about frequently. 267 00:14:20,360 --> 00:14:22,920 Speaker 2: Matter of fact, every time we review a financial plan 268 00:14:23,040 --> 00:14:24,720 Speaker 2: with somebody, we want to talk about the cost of 269 00:14:24,840 --> 00:14:27,840 Speaker 2: health care. So the reason we're talking about this is 270 00:14:27,960 --> 00:14:29,680 Speaker 2: because of this Fidelity study. You don't want to be 271 00:14:29,760 --> 00:14:33,080 Speaker 2: the one in five that Fidelity reports among sixty five 272 00:14:33,160 --> 00:14:35,200 Speaker 2: year olds who can expect about one hundred and seventy 273 00:14:35,200 --> 00:14:38,760 Speaker 2: two thousand dollars in healthcare medical expenses in retirement. 274 00:14:38,880 --> 00:14:41,960 Speaker 3: So anyway, make sure that you're on top of what 275 00:14:42,040 --> 00:14:42,960 Speaker 3: that's going to look like for you. 276 00:14:43,200 --> 00:14:45,840 Speaker 2: So this is kind of new information, it's reconfirming stuff 277 00:14:45,840 --> 00:14:47,880 Speaker 2: that we've heard for a long time now, and the 278 00:14:47,960 --> 00:14:50,440 Speaker 2: ways to tackle this haven't really changed. This is something 279 00:14:50,480 --> 00:14:52,000 Speaker 2: you want to get onto, you know, pretty quickly. 280 00:14:52,080 --> 00:14:52,200 Speaker 1: Here. 281 00:14:52,560 --> 00:14:55,320 Speaker 3: So the way we want to tackle this is, first 282 00:14:55,320 --> 00:14:58,720 Speaker 3: of all, separate out your health care from your other expenses. 283 00:14:58,800 --> 00:15:00,640 Speaker 3: Don't just lump it into your life living expenses. 284 00:15:00,720 --> 00:15:04,520 Speaker 2: Healthcare expenses, those costs will go up more rapidly as 285 00:15:04,560 --> 00:15:06,600 Speaker 2: they have historically, than the cost of a loaf of 286 00:15:06,640 --> 00:15:08,080 Speaker 2: bread and a gallon of gas and so on and 287 00:15:08,160 --> 00:15:10,400 Speaker 2: so forth. So carve that out as a separate expense 288 00:15:10,600 --> 00:15:13,160 Speaker 2: from your living expenses. Not only does it go up faster, 289 00:15:13,800 --> 00:15:16,040 Speaker 2: but over time it's going to become more of a 290 00:15:16,160 --> 00:15:18,000 Speaker 2: part of your budget than it is right now. Right 291 00:15:18,280 --> 00:15:19,840 Speaker 2: we are all as healthy as we are ever going 292 00:15:19,880 --> 00:15:21,880 Speaker 2: to be as we're sitting here right now. So once 293 00:15:21,920 --> 00:15:25,400 Speaker 2: you've got it separated out, go a little further. Within 294 00:15:25,520 --> 00:15:27,960 Speaker 2: that healthcare expense item, you're going to want to look 295 00:15:27,960 --> 00:15:30,480 Speaker 2: at three different buckets. First of all, premiums for the 296 00:15:30,520 --> 00:15:33,240 Speaker 2: insurance are going to have to pay Medicare based premiums, 297 00:15:33,320 --> 00:15:36,000 Speaker 2: probably a supplemental policy as most people will pick up. 298 00:15:36,480 --> 00:15:38,840 Speaker 2: Some people run different types of plans. If you've got 299 00:15:38,880 --> 00:15:41,880 Speaker 2: federal benefits, good on you. You're probably less of a 300 00:15:41,960 --> 00:15:44,440 Speaker 2: concern here. But there's other people out there on state 301 00:15:44,520 --> 00:15:46,160 Speaker 2: plans and sometimes employer plans. 302 00:15:46,280 --> 00:15:48,160 Speaker 3: Understand what those premiums look like and how they grow 303 00:15:48,240 --> 00:15:48,640 Speaker 3: over time. 304 00:15:49,440 --> 00:15:52,280 Speaker 2: The second bucket within the healthcare expense is what's my 305 00:15:52,400 --> 00:15:55,360 Speaker 2: out of pocket and ongoing medical expenses or what are 306 00:15:55,400 --> 00:15:57,200 Speaker 2: those going to be for procedures I might need or 307 00:15:57,240 --> 00:15:59,960 Speaker 2: equipment and so forth. The third is probably the scare 308 00:16:00,240 --> 00:16:03,320 Speaker 2: the the least understood, and that's long term care that 309 00:16:03,520 --> 00:16:06,480 Speaker 2: is a totally separate expense that that some people may 310 00:16:06,560 --> 00:16:09,240 Speaker 2: have to take on. And you know, the average cost 311 00:16:09,320 --> 00:16:11,720 Speaker 2: in this area for an individual is going to be 312 00:16:11,800 --> 00:16:14,160 Speaker 2: somewhere maybe the three twenty five or three hundred and 313 00:16:14,160 --> 00:16:17,320 Speaker 2: fifty thousand dollars range by itself for the remaining the 314 00:16:17,440 --> 00:16:19,200 Speaker 2: average two and a half to three years stay that 315 00:16:19,280 --> 00:16:20,680 Speaker 2: happens at the end of life when it comes to 316 00:16:20,720 --> 00:16:23,440 Speaker 2: long term care that is not covered by Medicare beyond 317 00:16:23,480 --> 00:16:25,880 Speaker 2: the first thirty days, and it's something you want to 318 00:16:25,880 --> 00:16:27,040 Speaker 2: think about a little bit differently. 319 00:16:28,320 --> 00:16:31,360 Speaker 1: I think you covered well the financial aspects of all this, 320 00:16:31,600 --> 00:16:34,320 Speaker 1: and I think, as you you know, correctly pointed out, 321 00:16:34,360 --> 00:16:36,600 Speaker 1: you've got to model this stuff out. And just like 322 00:16:36,680 --> 00:16:41,640 Speaker 1: you would evaluate investment risk or volatility or inflation volatility, 323 00:16:41,920 --> 00:16:45,720 Speaker 1: you've got to consider health care costs volatility as part 324 00:16:45,760 --> 00:16:47,720 Speaker 1: of your financial plan. I want to call out one 325 00:16:47,760 --> 00:16:51,120 Speaker 1: other thing that I think is just as important as 326 00:16:51,280 --> 00:16:56,400 Speaker 1: the numbers and the money, is planning ahead for cognitive decline, 327 00:16:57,240 --> 00:16:59,600 Speaker 1: not just the cost. And Brian, I am seeing this 328 00:16:59,680 --> 00:17:02,840 Speaker 1: come up up more and more often with you know, 329 00:17:03,000 --> 00:17:04,960 Speaker 1: some of my clients that I've worked with for over 330 00:17:05,080 --> 00:17:09,240 Speaker 1: thirty years, they're aging, they're aging well, but they're getting old. 331 00:17:09,880 --> 00:17:12,359 Speaker 1: And I'll just put it out there this way. I 332 00:17:12,480 --> 00:17:17,320 Speaker 1: think we all have to ask ourselves if if cognitive decline, 333 00:17:17,440 --> 00:17:21,679 Speaker 1: you know, Alzheimer's, dementia, a stroke, anything like that happened today, 334 00:17:22,880 --> 00:17:26,159 Speaker 1: what would happen to your financial affairs, who's managing it, 335 00:17:26,480 --> 00:17:29,479 Speaker 1: who's educated about it? Who can pick up the reins 336 00:17:29,560 --> 00:17:33,639 Speaker 1: and carry it? Because, Brian, in most families and couples 337 00:17:33,680 --> 00:17:36,240 Speaker 1: that we see, one of the spouses, be it the 338 00:17:36,320 --> 00:17:40,040 Speaker 1: male or the female, is the money person it's running things, 339 00:17:40,200 --> 00:17:44,680 Speaker 1: really loves doing the spreadsheets, the tax planning, the investment allocation, 340 00:17:45,000 --> 00:17:48,520 Speaker 1: all of that. And if that person is no longer 341 00:17:48,640 --> 00:17:52,119 Speaker 1: able to do that, if they have not communicated what 342 00:17:53,240 --> 00:17:56,960 Speaker 1: the next step actually looks like, Brian, I'm seeing, you know, 343 00:17:57,119 --> 00:18:00,639 Speaker 1: a lot of interruption and stress can come to a 344 00:18:00,760 --> 00:18:04,880 Speaker 1: family very quickly. This is something not enough people plan 345 00:18:05,080 --> 00:18:07,440 Speaker 1: for and talk about, but we need to be doing. 346 00:18:07,520 --> 00:18:10,640 Speaker 1: That is part of our health care planning for sure. 347 00:18:10,720 --> 00:18:13,119 Speaker 2: And and I think I think it's also valuable to 348 00:18:13,160 --> 00:18:15,800 Speaker 2: take a look at your own your own family history. 349 00:18:15,840 --> 00:18:19,760 Speaker 2: You know, is Alzheimer's, Parkinson's, Huntington's, or those those kinds 350 00:18:19,800 --> 00:18:22,720 Speaker 2: of things present in your family line, your bloodline, they 351 00:18:22,760 --> 00:18:24,639 Speaker 2: may be getting passed down to you. Not much you 352 00:18:24,680 --> 00:18:27,560 Speaker 2: can do to stop that, of course, unfortunately, but what 353 00:18:27,720 --> 00:18:29,960 Speaker 2: you can do to protect yourself and your family from 354 00:18:30,040 --> 00:18:32,400 Speaker 2: it is while you were in the healthiest state you'll 355 00:18:32,440 --> 00:18:34,320 Speaker 2: ever be again, we're all, you know, we're all as 356 00:18:34,359 --> 00:18:36,880 Speaker 2: healthy as we're going to be right now. Lay out 357 00:18:36,920 --> 00:18:39,920 Speaker 2: those documents as Bob mentions, lay out the what's gonna happen? 358 00:18:39,960 --> 00:18:42,080 Speaker 2: Who's in charge if I can no longer make decisions 359 00:18:42,119 --> 00:18:44,399 Speaker 2: for myself? First of all, who determines that right with 360 00:18:44,520 --> 00:18:47,119 Speaker 2: which among my family and my doctors is going to 361 00:18:47,240 --> 00:18:49,199 Speaker 2: decide that I am no longer able to make these 362 00:18:49,359 --> 00:18:52,520 Speaker 2: decisions myself? And then who steps in This is both 363 00:18:52,560 --> 00:18:56,439 Speaker 2: related to healthcare and financial type decisions. You're gonna want 364 00:18:56,440 --> 00:18:59,159 Speaker 2: to update those trusts and make sure that there that 365 00:18:59,280 --> 00:19:02,200 Speaker 2: they're they do what you want them to do, and 366 00:19:02,440 --> 00:19:05,280 Speaker 2: that the appropriate people can take over at the appropriate time. 367 00:19:05,720 --> 00:19:06,920 Speaker 3: Simplify as well. 368 00:19:07,040 --> 00:19:08,800 Speaker 2: Right, if you've got accounts all over the place for 369 00:19:09,000 --> 00:19:11,760 Speaker 2: frier jobs and investments and just different things you've done, 370 00:19:11,800 --> 00:19:13,639 Speaker 2: then maybe you're not really paying as much attention to. 371 00:19:13,840 --> 00:19:16,320 Speaker 3: And that's natural, right. Cognitive ability aside. 372 00:19:16,440 --> 00:19:18,280 Speaker 2: People get to a point where we just spend less 373 00:19:18,320 --> 00:19:20,679 Speaker 2: time dealing with these types of things and accounts get 374 00:19:20,720 --> 00:19:22,280 Speaker 2: scattered all over the place. That's one of the things 375 00:19:22,320 --> 00:19:25,560 Speaker 2: that we do during retirement planning is starting to consolidate 376 00:19:25,600 --> 00:19:27,719 Speaker 2: that but make it easier for those people who are 377 00:19:27,720 --> 00:19:30,520 Speaker 2: going to be making decisions for you by getting those 378 00:19:30,520 --> 00:19:31,120 Speaker 2: all in one place. 379 00:19:31,600 --> 00:19:34,440 Speaker 1: Excellent point. Here's the all Worth advice. Don't just say 380 00:19:34,640 --> 00:19:39,680 Speaker 1: for health care in retirement, structure your entire comprehensive financial 381 00:19:39,760 --> 00:19:43,040 Speaker 1: plan for it. Coming up next, an eighty two year 382 00:19:43,080 --> 00:19:46,520 Speaker 1: old grandmother just lost two hundred thousand dollars to an 383 00:19:46,600 --> 00:19:50,600 Speaker 1: AI deep fake scam. If you have aging parents or 384 00:19:50,680 --> 00:19:54,240 Speaker 1: vulnerable family members, would they be able to spot something 385 00:19:54,359 --> 00:19:56,480 Speaker 1: like this ahead of time? We're going to talk about 386 00:19:56,520 --> 00:19:59,040 Speaker 1: that next. You're listening to simply money presented by all 387 00:19:59,080 --> 00:20:05,200 Speaker 1: Worth Financial on fifty five KRC. The talk station you're 388 00:20:05,240 --> 00:20:07,919 Speaker 1: listening to Simply Money, presented by all Worth Financial. I'm 389 00:20:08,000 --> 00:20:11,879 Speaker 1: Bob Sponseller along with Brian James, joined tonight by our 390 00:20:11,960 --> 00:20:15,920 Speaker 1: good friend Dave Hatter, who covers all things tech related 391 00:20:16,040 --> 00:20:20,480 Speaker 1: and scam related. And Dave, unfortunately you've got another just 392 00:20:20,840 --> 00:20:25,320 Speaker 1: horrible scam to talk about tonight, involving an eighty two 393 00:20:25,440 --> 00:20:28,840 Speaker 1: year old that lost over two hundred thousand dollars in 394 00:20:28,920 --> 00:20:32,399 Speaker 1: their retirement savings in some kind of an AI deep 395 00:20:32,520 --> 00:20:36,800 Speaker 1: fake doctor scam. Tell us about this and what can 396 00:20:36,880 --> 00:20:39,480 Speaker 1: we learn from it and how can we help folks 397 00:20:40,200 --> 00:20:43,400 Speaker 1: avoid this kind of situation, you know, with their own 398 00:20:43,440 --> 00:20:44,680 Speaker 1: retirement assets. 399 00:20:45,640 --> 00:20:47,800 Speaker 4: Yeah, guys, as always, thanks for having me on. And 400 00:20:48,160 --> 00:20:51,280 Speaker 4: this is a terrible story and it's really illustrative of 401 00:20:51,320 --> 00:20:53,359 Speaker 4: where we're at with all this AI stuff. I know, 402 00:20:53,480 --> 00:20:56,720 Speaker 4: people don't believe these kinds of scams are real. This 403 00:20:56,800 --> 00:20:59,440 Speaker 4: has been fairly widely reported on and it's not the 404 00:20:59,520 --> 00:21:02,480 Speaker 4: only scam of its kind. And I guess you know, 405 00:21:02,600 --> 00:21:04,879 Speaker 4: first off, the key to all of this stuff, in 406 00:21:04,960 --> 00:21:07,520 Speaker 4: my opinion, is awareness. There is nothing you can do 407 00:21:07,760 --> 00:21:10,240 Speaker 4: short of living in a bunker out in the woods 408 00:21:10,280 --> 00:21:13,479 Speaker 4: somewhere completely off the grid to avoid this stuff, right, 409 00:21:13,560 --> 00:21:16,080 Speaker 4: and the bad guys know this. I would bet every 410 00:21:16,119 --> 00:21:20,280 Speaker 4: one of your listeners has gotten multiple data breach notices. Hey, 411 00:21:20,359 --> 00:21:22,919 Speaker 4: your data has been leaked from the company X, probably 412 00:21:22,960 --> 00:21:25,159 Speaker 4: some company you never heard of. Hey, I've got to 413 00:21:25,240 --> 00:21:27,760 Speaker 4: bring that up. Is yeah, I bet both of you 414 00:21:27,880 --> 00:21:30,359 Speaker 4: have gotten several. I bet Joe's gotten several. I mean 415 00:21:30,640 --> 00:21:32,960 Speaker 4: I've gotten several. And you know I'm the tenfoil hat guy. 416 00:21:33,119 --> 00:21:37,000 Speaker 4: Because it's impossible to completely it's impossible to live in 417 00:21:37,040 --> 00:21:39,520 Speaker 4: today's digital world without your data being sold from one 418 00:21:39,560 --> 00:21:42,280 Speaker 4: company to another and then eventually lost. And the reason 419 00:21:42,320 --> 00:21:45,119 Speaker 4: why that's important is it gives the scammers a leg up. 420 00:21:45,200 --> 00:21:48,760 Speaker 4: What people don't really understand in many cases is these 421 00:21:48,840 --> 00:21:52,399 Speaker 4: scammers are usually not technical wizards. They're con artists that 422 00:21:52,480 --> 00:21:56,040 Speaker 4: are using this technology and the plentiful information that is 423 00:21:56,080 --> 00:22:01,480 Speaker 4: available about you in many cases to craft very authentic 424 00:22:01,760 --> 00:22:05,080 Speaker 4: seeming scams. Messages could be texts, could be video, could 425 00:22:05,080 --> 00:22:07,679 Speaker 4: be audio, phone, call email, whatever. You know, they'll come 426 00:22:07,760 --> 00:22:11,439 Speaker 4: at you wherever people are in video games and chat apps. 427 00:22:12,040 --> 00:22:14,480 Speaker 4: So my point is you've got all this information about 428 00:22:14,560 --> 00:22:16,879 Speaker 4: you out there that makes it easy for someone to 429 00:22:17,119 --> 00:22:20,359 Speaker 4: scam you. You've got all these different mechanisms to reach you, 430 00:22:21,000 --> 00:22:23,119 Speaker 4: and now you throw AI into the mix where you 431 00:22:23,200 --> 00:22:25,520 Speaker 4: can create incredibly realistic videos. I don't know if you 432 00:22:25,600 --> 00:22:27,800 Speaker 4: guys have seen that. It cut a lot of a 433 00:22:28,000 --> 00:22:31,800 Speaker 4: press lately. The deep fake video of Brad Pitt or 434 00:22:32,040 --> 00:22:35,080 Speaker 4: Tom Cruise and Brad Pitt fighting each other. It's very 435 00:22:35,160 --> 00:22:39,280 Speaker 4: realistic looking. And my point is, as this technology advances, 436 00:22:39,440 --> 00:22:42,520 Speaker 4: the ability to create audio and video that is extremely 437 00:22:42,640 --> 00:22:46,480 Speaker 4: realistic is there. It's there today. It costs nothing to use. 438 00:22:46,720 --> 00:22:49,840 Speaker 4: Any criminal can use it. And people will often tell me, well, 439 00:22:49,960 --> 00:22:51,560 Speaker 4: you know, I got a call that appeared to be 440 00:22:51,640 --> 00:22:53,840 Speaker 4: from my son in jail needing money. It's called the 441 00:22:53,880 --> 00:22:58,200 Speaker 4: grandparents scam. How you know, how could they clone his voice? Well, okay, 442 00:22:58,359 --> 00:23:02,600 Speaker 4: even if you were spat boss son whatever is not 443 00:23:02,760 --> 00:23:05,639 Speaker 4: on social media. If they have a voicegum mail greeting, 444 00:23:05,800 --> 00:23:08,800 Speaker 4: I can call your voicemail, I can record your voice 445 00:23:08,800 --> 00:23:11,639 Speaker 4: off the voicemail and in about fifteen minutes, using a 446 00:23:11,680 --> 00:23:13,960 Speaker 4: free tool, I can clone your voice. I have actually 447 00:23:14,040 --> 00:23:16,880 Speaker 4: demonstrated this with a reporter out of Columbus. We recorded 448 00:23:16,960 --> 00:23:20,840 Speaker 4: his voice from his voicemail and did an interview where 449 00:23:20,880 --> 00:23:22,760 Speaker 4: you can watch me type and his voice comes out 450 00:23:22,800 --> 00:23:25,280 Speaker 4: of the speakers. This stuff is all real, folks. So 451 00:23:25,400 --> 00:23:28,600 Speaker 4: to get back to this story at hand, this woman, apparently, 452 00:23:28,800 --> 00:23:30,680 Speaker 4: and again you know, the bad guys will go on 453 00:23:30,800 --> 00:23:34,800 Speaker 4: social media, they'll create fake profiles, they'll post of you know, 454 00:23:35,280 --> 00:23:39,480 Speaker 4: make a million dollars a year in crypto, save your taxes. Whatever, 455 00:23:39,760 --> 00:23:42,359 Speaker 4: they'll come up with, whatever messaging, they'll post it on 456 00:23:42,480 --> 00:23:46,560 Speaker 4: social media. Apparently, this woman followed some doctor I've never 457 00:23:46,640 --> 00:23:52,120 Speaker 4: heard of, doctor Corey whoever that is apparently was popular 458 00:23:52,200 --> 00:23:56,600 Speaker 4: during the pandemic, and she, you know, was a follower 459 00:23:56,640 --> 00:24:00,119 Speaker 4: of this person. This person, which was obviously some to 460 00:24:00,160 --> 00:24:03,880 Speaker 4: think profile, was talking about cryptocurrency and how they could 461 00:24:03,880 --> 00:24:06,280 Speaker 4: make money and so forth. So again, this is a 462 00:24:06,400 --> 00:24:09,800 Speaker 4: typical con artist scam they're using, but they're using social 463 00:24:09,880 --> 00:24:13,680 Speaker 4: media to reach people. They're impersonating people that you know, 464 00:24:13,880 --> 00:24:17,960 Speaker 4: have influence out there. Can't believe anything you see online. 465 00:24:18,160 --> 00:24:22,800 Speaker 4: And so then she gets sucked into this, this this 466 00:24:23,480 --> 00:24:26,159 Speaker 4: idea that she's going to make money in crypto with 467 00:24:26,320 --> 00:24:28,840 Speaker 4: advice from this doctor who apparently is a medical doctor. 468 00:24:28,920 --> 00:24:31,760 Speaker 4: So why he would necessarily know about this, I don't know. 469 00:24:32,359 --> 00:24:35,800 Speaker 4: But according to the article. She was a retired teacher 470 00:24:35,840 --> 00:24:38,399 Speaker 4: watched a video on Facebook which appeared to show doctor 471 00:24:38,480 --> 00:24:41,040 Speaker 4: Corey saying if he had access to her information, he 472 00:24:41,080 --> 00:24:43,439 Speaker 4: would put it into a special fund that would increase 473 00:24:43,480 --> 00:24:44,000 Speaker 4: in value. 474 00:24:44,600 --> 00:24:47,080 Speaker 1: Okay, so she goes down this rabbit hole. 475 00:24:47,600 --> 00:24:50,199 Speaker 4: She watches AI videos of this guy, and this is a. 476 00:24:50,240 --> 00:24:51,119 Speaker 1: Direct quote from her. 477 00:24:51,560 --> 00:24:53,720 Speaker 4: And I have so much respect for this woman going 478 00:24:53,800 --> 00:24:55,920 Speaker 4: public with his story, because it's one thing to have 479 00:24:56,040 --> 00:24:58,240 Speaker 4: a guy like me come on your show and talk 480 00:24:58,280 --> 00:25:00,720 Speaker 4: about this stuff. It's another thing to have a victim 481 00:25:00,760 --> 00:25:04,600 Speaker 4: who actually lost almost two hundred thousand dollars say this 482 00:25:04,880 --> 00:25:07,040 Speaker 4: actually happened to me, right, I think it carries a 483 00:25:07,080 --> 00:25:09,720 Speaker 4: lot more weight and hopefully is more believable to people. 484 00:25:09,840 --> 00:25:13,800 Speaker 4: So she, you know, got on the Facebook and started 485 00:25:13,840 --> 00:25:16,760 Speaker 4: having a conversation with someone using AI to impersonate this 486 00:25:16,920 --> 00:25:20,240 Speaker 4: doctor Corey. She says, quote, I really respected doctor Corey 487 00:25:20,320 --> 00:25:22,560 Speaker 4: for a long time, and it apparently was a'n ai, 488 00:25:22,640 --> 00:25:25,040 Speaker 4: which I don't understand that much about, but it was 489 00:25:25,160 --> 00:25:27,240 Speaker 4: him talking and he was recommending a way to increase 490 00:25:27,280 --> 00:25:31,840 Speaker 4: my money using crypto unquote. So you know, eventually she 491 00:25:32,000 --> 00:25:34,360 Speaker 4: gave him the money, and of course the money disappeared. 492 00:25:34,440 --> 00:25:35,800 Speaker 4: She goes on to say there was a video of 493 00:25:35,880 --> 00:25:38,200 Speaker 4: him talking. It was obviously AI, and I don't know 494 00:25:38,280 --> 00:25:39,920 Speaker 4: how that works, but I believed it and I fell 495 00:25:40,040 --> 00:25:41,960 Speaker 4: for it, and I have nobody to blame but myself. 496 00:25:42,560 --> 00:25:45,879 Speaker 4: So again, I mean, huge kudos to this woman for 497 00:25:46,000 --> 00:25:49,159 Speaker 4: going public with his story to make other people aware 498 00:25:49,200 --> 00:25:50,000 Speaker 4: that this is real. 499 00:25:50,200 --> 00:25:50,800 Speaker 1: It's happening. 500 00:25:51,359 --> 00:25:55,440 Speaker 4: And you know, unfortunately, guys, as this deep is, this 501 00:25:55,600 --> 00:25:59,960 Speaker 4: AI technology increases its capabilities to create things that seem incredible. 502 00:26:00,160 --> 00:26:04,439 Speaker 4: Realistic awareness is key, skepticism is key, and you got 503 00:26:04,520 --> 00:26:06,159 Speaker 4: to do what we nerds like to call go out 504 00:26:06,240 --> 00:26:07,080 Speaker 4: of band, right you. 505 00:26:07,160 --> 00:26:09,680 Speaker 2: Can't they, you know, I think the scariest part about 506 00:26:09,720 --> 00:26:12,359 Speaker 2: all this is the scalability that now exists. Right, So, 507 00:26:13,359 --> 00:26:17,000 Speaker 2: up until recently, it's been it's been human beings dialing 508 00:26:17,119 --> 00:26:19,959 Speaker 2: phones and talking people into these things. Now it can 509 00:26:20,000 --> 00:26:22,040 Speaker 2: simply be computers doing this, so they don't even need 510 00:26:22,119 --> 00:26:24,439 Speaker 2: to find slaves anymore to get it done. And then 511 00:26:24,640 --> 00:26:27,320 Speaker 2: that is almost infinitely scalable. So this is just gonna 512 00:26:27,320 --> 00:26:28,520 Speaker 2: get worse and worse and worse, isn't it. 513 00:26:29,720 --> 00:26:30,520 Speaker 1: It really is? 514 00:26:30,760 --> 00:26:32,800 Speaker 4: And I mean, even if the human being gets involved, 515 00:26:32,840 --> 00:26:35,600 Speaker 4: it might be after the computers find their mark, right, 516 00:26:35,800 --> 00:26:39,600 Speaker 4: they you, they post stuff on Facebook, ex, Twitter or whatever, 517 00:26:40,400 --> 00:26:43,680 Speaker 4: and then robodie once you yeah, once you bite on that, 518 00:26:44,000 --> 00:26:46,840 Speaker 4: right or yeah, they just wore dial phone numbers until 519 00:26:46,920 --> 00:26:50,160 Speaker 4: someone answers. Once you bite, then a human con artist 520 00:26:50,200 --> 00:26:54,200 Speaker 4: gets involved, using information they've gotten about you, using these 521 00:26:54,320 --> 00:26:58,600 Speaker 4: tools to pretend to be again your boss, your spouse, 522 00:26:58,880 --> 00:27:03,320 Speaker 4: your son, respected person in the community that's encouraging you 523 00:27:03,480 --> 00:27:06,800 Speaker 4: to do something you know. Here here's another quick tip, guys, 524 00:27:07,240 --> 00:27:11,800 Speaker 4: never ever, ever put money in a crypto ATM as 525 00:27:11,880 --> 00:27:14,080 Speaker 4: part of some sort of bank thing where like, oh, 526 00:27:14,119 --> 00:27:17,760 Speaker 4: your your account has been hacked, take your money out 527 00:27:17,760 --> 00:27:19,240 Speaker 4: of the account and go put it in this ATM 528 00:27:19,320 --> 00:27:22,119 Speaker 4: to protect it. Anyone that's asking you to do anything 529 00:27:22,240 --> 00:27:26,119 Speaker 4: like that ninety nine point nine repeating chance it's a scam. 530 00:27:26,720 --> 00:27:30,000 Speaker 4: Stop go out of band all your bank using a 531 00:27:30,119 --> 00:27:32,919 Speaker 4: number you know. And if you have been defrauded by 532 00:27:33,000 --> 00:27:36,719 Speaker 4: something like this, you must act immediately. Okay, You've got 533 00:27:36,800 --> 00:27:40,560 Speaker 4: to contact your bank immediately. You should contact your insurance company, 534 00:27:40,640 --> 00:27:43,119 Speaker 4: your attorney if you have one. You know, the sooner 535 00:27:43,200 --> 00:27:46,080 Speaker 4: you act, the better likelihood you might be able to 536 00:27:46,119 --> 00:27:48,280 Speaker 4: claw back some of all of the money. If you 537 00:27:48,440 --> 00:27:52,560 Speaker 4: don't discover that you've been scammed for a month, two months, whatever, 538 00:27:52,720 --> 00:27:54,200 Speaker 4: you're never going to get that money there. 539 00:27:54,800 --> 00:27:56,440 Speaker 1: All right, Dave, We're gonna have to leave it there 540 00:27:56,560 --> 00:27:59,639 Speaker 1: for tonight. Thanks as always for joining us. We'll certainly 541 00:27:59,680 --> 00:28:02,399 Speaker 1: have you back on to dive deeper into this topic 542 00:28:02,440 --> 00:28:04,320 Speaker 1: because this is going to keep coming up more and more. 543 00:28:04,440 --> 00:28:07,240 Speaker 1: Thanks again for joining us tonight, Dave. You're listening to 544 00:28:07,320 --> 00:28:10,840 Speaker 1: Simply Money, presented by all Worth Financial on fifty five KRC, 545 00:28:11,240 --> 00:28:20,119 Speaker 1: the talk station. You're listening to Simply Money presented by 546 00:28:20,160 --> 00:28:23,399 Speaker 1: all Worth Financial on Bob's Fun Seller along with Brian James. 547 00:28:23,840 --> 00:28:25,879 Speaker 1: If you have a financial question you'd like for us 548 00:28:25,960 --> 00:28:28,200 Speaker 1: to answer, there's a red button you could click while 549 00:28:28,200 --> 00:28:30,520 Speaker 1: you're listening to the show. If you're listening on the 550 00:28:30,600 --> 00:28:34,160 Speaker 1: Ikehart app, simply record your question and it will come 551 00:28:34,280 --> 00:28:38,040 Speaker 1: straight to us, all right. Brian chris In Lovelin leads 552 00:28:38,120 --> 00:28:40,240 Speaker 1: us off tonight. He says, we've built up about a 553 00:28:40,320 --> 00:28:43,840 Speaker 1: two million dollar portfolio, but almost all of it is 554 00:28:43,920 --> 00:28:47,240 Speaker 1: in retirement accounts. I think he means pre tax are 555 00:28:47,320 --> 00:28:50,680 Speaker 1: we boxed in when it comes to flexibilities prior to 556 00:28:50,800 --> 00:28:52,040 Speaker 1: when rmds start. 557 00:28:53,040 --> 00:28:54,880 Speaker 3: So he answered my first big question, which is how 558 00:28:54,960 --> 00:28:55,320 Speaker 3: old are you? 559 00:28:55,440 --> 00:28:56,920 Speaker 2: And now I know that you're at least less than 560 00:28:57,160 --> 00:28:59,440 Speaker 2: seventy three seventy five, So it sounds like there's a 561 00:28:59,440 --> 00:29:01,600 Speaker 2: little bit left in that window before r md start, 562 00:29:01,640 --> 00:29:03,640 Speaker 2: which is why you're thinking about this. Yeah, you're in 563 00:29:03,720 --> 00:29:05,760 Speaker 2: a situation that a lot of people find themselves in 564 00:29:05,840 --> 00:29:08,360 Speaker 2: when when you work for a company, you have a 565 00:29:08,360 --> 00:29:09,920 Speaker 2: four oh one K four or three B or what 566 00:29:10,040 --> 00:29:12,200 Speaker 2: have you. Uh, and you've been doing it for decades 567 00:29:12,200 --> 00:29:14,600 Speaker 2: and yeah, most likely you've built up a significant pile 568 00:29:14,800 --> 00:29:17,640 Speaker 2: of pre tax dollars, which has been wonderful because you 569 00:29:17,760 --> 00:29:20,560 Speaker 2: avoided the worst tax that we have, which is the 570 00:29:20,720 --> 00:29:23,160 Speaker 2: ordinary income tax, because it's marginal. The more you make, 571 00:29:23,200 --> 00:29:25,400 Speaker 2: the more you have to pay. But at the same time, 572 00:29:25,480 --> 00:29:27,400 Speaker 2: that happens on the back end too, so you've dodged 573 00:29:27,440 --> 00:29:30,160 Speaker 2: those taxes. But r mds are just when the when 574 00:29:30,240 --> 00:29:31,800 Speaker 2: when it's time to pay the piper, the I r 575 00:29:31,880 --> 00:29:34,000 Speaker 2: S comes calling for their for their pound of flesh. 576 00:29:34,080 --> 00:29:37,080 Speaker 2: So uh, but you're not necessarily boxed in. It's all 577 00:29:37,080 --> 00:29:41,200 Speaker 2: about timing and control. And so so what happens is 578 00:29:41,240 --> 00:29:42,600 Speaker 2: once you're fifty nine and a half, you have a 579 00:29:42,640 --> 00:29:45,160 Speaker 2: lot more flexibility you can withdraw from those iras. 580 00:29:45,240 --> 00:29:47,440 Speaker 3: So there's if you are in a situation now. 581 00:29:48,320 --> 00:29:50,720 Speaker 2: Chris, where you are, you have bills to pay, of course, 582 00:29:50,760 --> 00:29:52,720 Speaker 2: and you need you need assets with which to do it, 583 00:29:53,040 --> 00:29:55,160 Speaker 2: and maybe you're not working anymore, or maybe your spouse 584 00:29:55,280 --> 00:29:57,360 Speaker 2: is retired and there's just less income in the house. Well, 585 00:29:57,360 --> 00:29:59,840 Speaker 2: you're probably in a lower bracket than you've been in, 586 00:30:00,320 --> 00:30:03,120 Speaker 2: so it can be okay to rely on those assets 587 00:30:03,160 --> 00:30:05,160 Speaker 2: to just play and pay the bills, take some money out, 588 00:30:05,240 --> 00:30:07,280 Speaker 2: pay some taxes, understand what the tax hit will be, 589 00:30:08,200 --> 00:30:10,840 Speaker 2: and get those bills paid with it, because that money's 590 00:30:10,840 --> 00:30:12,880 Speaker 2: got to come from somewhere Anyhow. I think what we're 591 00:30:12,920 --> 00:30:16,400 Speaker 2: really talking about, though, is really Wroth conversions might be 592 00:30:16,480 --> 00:30:19,000 Speaker 2: the biggest way if you really want to take advantage 593 00:30:19,040 --> 00:30:21,160 Speaker 2: of this window where you've got the lowest tax bracket 594 00:30:21,240 --> 00:30:24,200 Speaker 2: you'll ever see, because they're going up at our md age. 595 00:30:24,200 --> 00:30:26,120 Speaker 2: Of course, when you have to start taking this money out, 596 00:30:26,360 --> 00:30:29,360 Speaker 2: you can do roth conversions of a calculated amount. And 597 00:30:29,440 --> 00:30:30,920 Speaker 2: maybe you want to figure out what what does it 598 00:30:30,960 --> 00:30:32,880 Speaker 2: take to get you to the top of the twenty 599 00:30:32,920 --> 00:30:35,320 Speaker 2: two percent bracket or the twenty four percent bracket you're 600 00:30:35,320 --> 00:30:38,240 Speaker 2: already some partial way into the bracket based off of 601 00:30:38,320 --> 00:30:38,880 Speaker 2: current income. 602 00:30:39,160 --> 00:30:41,080 Speaker 3: Fill the rest of it up with Wroth conversions. 603 00:30:41,400 --> 00:30:43,880 Speaker 2: Yes, you'll be paying income taxes on those dollars, but 604 00:30:44,040 --> 00:30:46,320 Speaker 2: more importantly, you'll never will again, and you'll have from 605 00:30:46,400 --> 00:30:49,000 Speaker 2: now until our MD age for it to grow completely 606 00:30:49,080 --> 00:30:52,120 Speaker 2: tax free, and then you can celebrate and watch it continue. 607 00:30:51,800 --> 00:30:54,440 Speaker 3: To grow tax free well past that age. 608 00:30:54,720 --> 00:30:57,520 Speaker 2: So the downside of all this, if you are on 609 00:30:57,640 --> 00:31:01,000 Speaker 2: Medicare paying Medicare premiums, you may see some impact to IRMA, 610 00:31:01,040 --> 00:31:03,440 Speaker 2: which means your Medicare premiums may go up. A lot 611 00:31:03,440 --> 00:31:05,400 Speaker 2: of people want to avoid that, like the plague. But 612 00:31:05,520 --> 00:31:09,000 Speaker 2: remember IRMA is only an annual adjustment, So if you 613 00:31:09,080 --> 00:31:11,720 Speaker 2: make major Roth conversions for the next two or three years, 614 00:31:12,120 --> 00:31:16,360 Speaker 2: then the what will happen is your IRMA premiums will 615 00:31:16,400 --> 00:31:18,640 Speaker 2: be calculated two years later. So in other words, if 616 00:31:18,680 --> 00:31:20,520 Speaker 2: you do this for three years, then the last time 617 00:31:20,560 --> 00:31:23,000 Speaker 2: you'll have to deal with it is five years from now. 618 00:31:23,280 --> 00:31:26,080 Speaker 2: When your IRMA premiums are based off of that final year, 619 00:31:26,280 --> 00:31:28,440 Speaker 2: then it goes back to whatever your actual income. 620 00:31:28,240 --> 00:31:29,520 Speaker 3: Is, So just don't be surprised by that. 621 00:31:29,640 --> 00:31:31,160 Speaker 2: But the fact, to me, the fact that you're going 622 00:31:31,240 --> 00:31:33,520 Speaker 2: to be raising your Medicare premiums for a little bit 623 00:31:33,640 --> 00:31:35,959 Speaker 2: is not a deal killer. Roth conversions are still very 624 00:31:36,040 --> 00:31:39,200 Speaker 2: valuable when you look at the possible compounding and reduction 625 00:31:39,320 --> 00:31:41,520 Speaker 2: in rmds for the remainder of your entire life. So 626 00:31:41,880 --> 00:31:45,200 Speaker 2: I hope that helps Chris, Tom and Anderson. Tom says 627 00:31:45,200 --> 00:31:48,200 Speaker 2: they're sitting on a big pile of cash. Everything feels expensive. 628 00:31:48,360 --> 00:31:50,160 Speaker 2: So how do you know when you're being smart versus 629 00:31:50,280 --> 00:31:52,239 Speaker 2: just sitting on the sidelines too long? Sounds like you're 630 00:31:52,240 --> 00:31:54,800 Speaker 2: thinking about investing, Bob, Yeah. 631 00:31:54,680 --> 00:31:57,200 Speaker 1: And Tom. You know, obviously I don't know all the 632 00:31:57,280 --> 00:32:01,080 Speaker 1: components of your portfolio or your financial plan, so you know, 633 00:32:01,120 --> 00:32:03,640 Speaker 1: I got to speak broadly here, which I will attempt 634 00:32:03,680 --> 00:32:06,520 Speaker 1: to do in my attempt to help you. But you know, 635 00:32:06,840 --> 00:32:10,000 Speaker 1: it's rarely a good idea, whether we feel like things 636 00:32:10,040 --> 00:32:14,000 Speaker 1: are expensive or we feel like things are inexpensive, to 637 00:32:14,320 --> 00:32:17,480 Speaker 1: build a financial plan based on feelings, because most of 638 00:32:17,560 --> 00:32:20,880 Speaker 1: the time we're wrong. So here's what I think the 639 00:32:21,200 --> 00:32:24,160 Speaker 1: best way to approach this is is separate your money 640 00:32:24,760 --> 00:32:27,080 Speaker 1: into the money that you're going to need or want 641 00:32:27,200 --> 00:32:30,000 Speaker 1: to spend within the next one to three or even 642 00:32:30,160 --> 00:32:33,560 Speaker 1: four years and have that money kind of out of 643 00:32:33,640 --> 00:32:38,320 Speaker 1: harm's way from a market volatility standpoint, into more secure, 644 00:32:39,640 --> 00:32:44,440 Speaker 1: conservative type assets things bonds, cash, money market accounts, cash equivalents, 645 00:32:44,800 --> 00:32:47,920 Speaker 1: so you can ride out any short term volatility that 646 00:32:48,080 --> 00:32:51,080 Speaker 1: might come down the pike and then commit that longer 647 00:32:51,200 --> 00:32:54,480 Speaker 1: term capital with a five, ten, fifteen year time horizon 648 00:32:54,680 --> 00:32:58,760 Speaker 1: to growth, recognizing that, yes, there's going to be volatility 649 00:32:58,840 --> 00:33:01,520 Speaker 1: along the way. But if you know ahead of time 650 00:33:02,080 --> 00:33:04,720 Speaker 1: your financial plan is not going to require you to 651 00:33:04,960 --> 00:33:08,520 Speaker 1: touch those dollars that are subject to short term volatility, 652 00:33:08,880 --> 00:33:12,240 Speaker 1: you can weather the storm and come out ahead over 653 00:33:12,320 --> 00:33:15,960 Speaker 1: the longer term. It's sometimes hard to do emotionally, but 654 00:33:16,080 --> 00:33:18,920 Speaker 1: I find that people that are willing to separate their 655 00:33:19,040 --> 00:33:22,040 Speaker 1: buckets of money based on what that money needs to 656 00:33:22,160 --> 00:33:24,880 Speaker 1: do for them and when can walk away with a 657 00:33:24,920 --> 00:33:28,640 Speaker 1: bit more peace of mind and over time a larger portfolio. 658 00:33:29,040 --> 00:33:31,600 Speaker 1: Hope that helps. We got time for maybe one more. 659 00:33:32,480 --> 00:33:36,480 Speaker 1: Brian ron and Covington says, I'd convince this whole AI 660 00:33:36,600 --> 00:33:39,960 Speaker 1: boom is just another bubble waiting to burst. If I 661 00:33:40,000 --> 00:33:43,480 Speaker 1: think it's gonna unwind, should I be reducing exposure now, 662 00:33:44,360 --> 00:33:48,000 Speaker 1: even if it means trimming these broad index funds that 663 00:33:48,080 --> 00:33:49,440 Speaker 1: we talk about all the time. Brian. 664 00:33:50,480 --> 00:33:52,320 Speaker 3: Yeah, and it's a real fair question, of course. 665 00:33:52,400 --> 00:33:55,000 Speaker 2: And we've addressed this a couple times today, and I 666 00:33:55,040 --> 00:33:57,360 Speaker 2: suspect we're gonna probably address it tomorrow too, because it's 667 00:33:57,400 --> 00:34:00,320 Speaker 2: the topic dujor it seems like. But if you think 668 00:34:00,360 --> 00:34:03,520 Speaker 2: about going back through history, every major technological shift has 669 00:34:03,560 --> 00:34:07,280 Speaker 2: attracted bubble type pricing in the stock market, railroads in 670 00:34:07,320 --> 00:34:10,040 Speaker 2: the eighteen hundreds, radio in the twenties, the very first 671 00:34:10,080 --> 00:34:13,440 Speaker 2: Internet bubble in the late nineties. Every time valuations overshot 672 00:34:13,480 --> 00:34:16,200 Speaker 2: reality before the fundamentals caught up. And we get excited 673 00:34:16,239 --> 00:34:19,600 Speaker 2: about companies that don't even have positive earnings, they hemorrhage money. Right, 674 00:34:19,640 --> 00:34:21,920 Speaker 2: that's what's happening in the business right now. We're so 675 00:34:22,040 --> 00:34:24,560 Speaker 2: excited about the potential that we're ignoring the fact that 676 00:34:24,640 --> 00:34:26,480 Speaker 2: most of these companies aren't making any money at all. 677 00:34:26,800 --> 00:34:29,360 Speaker 2: So if you own these broad index funds, though, remember 678 00:34:29,440 --> 00:34:31,439 Speaker 2: you don't own the AI trade, you own the whole market. 679 00:34:31,480 --> 00:34:33,839 Speaker 2: That's the point of broad index fund. Yeah, if it's 680 00:34:33,880 --> 00:34:36,960 Speaker 2: a large cap tech s and P five hundred fund, 681 00:34:36,960 --> 00:34:38,920 Speaker 2: that's going to be heavily overweighted to the large. 682 00:34:38,760 --> 00:34:40,480 Speaker 3: Cap tech side of things. 683 00:34:40,800 --> 00:34:44,919 Speaker 2: So The real issue here though, is structural versus tactical risks, 684 00:34:44,960 --> 00:34:48,320 Speaker 2: So measure your concentration, not the headlines. What's the percentage 685 00:34:48,320 --> 00:34:51,239 Speaker 2: of the total portfolio actually tied to a handful of 686 00:34:51,280 --> 00:34:54,920 Speaker 2: these megacap ai companies. You can do this with online 687 00:34:55,000 --> 00:34:56,960 Speaker 2: tools to look under the hood of the various ticker 688 00:34:57,040 --> 00:34:59,800 Speaker 2: symbols you might own. So get all that information and 689 00:35:00,000 --> 00:35:02,200 Speaker 2: push it all together and see what your overall portfolio 690 00:35:02,280 --> 00:35:04,239 Speaker 2: looks like. Then you can decide whether you really have 691 00:35:04,360 --> 00:35:07,000 Speaker 2: a problem or if you're just maybe reacting to scary headlines. 692 00:35:08,080 --> 00:35:10,160 Speaker 1: All right, coming up next, We talked earlier in the 693 00:35:10,239 --> 00:35:15,800 Speaker 1: show somewhat conceptually about the whole issue of cognitive decline. Brian, 694 00:35:15,920 --> 00:35:18,399 Speaker 1: coming up next, is going to walk us through how 695 00:35:18,440 --> 00:35:22,040 Speaker 1: he's actually managing a client and a family through this 696 00:35:22,320 --> 00:35:25,439 Speaker 1: very sad and challenging time. You're listening to Simply Money 697 00:35:25,480 --> 00:35:28,640 Speaker 1: presented by all Worth Financial on fifty five KRC the 698 00:35:29,000 --> 00:35:35,680 Speaker 1: talk station. At this moment, you're listening to Simply Money 699 00:35:35,760 --> 00:35:38,480 Speaker 1: presented by all Worth Financial on Bob Sponseller along with 700 00:35:38,600 --> 00:35:42,200 Speaker 1: Brian James and tonight, Brian walks us through how he's 701 00:35:42,320 --> 00:35:46,359 Speaker 1: actually helping right now guide a family through a very 702 00:35:46,440 --> 00:35:52,279 Speaker 1: difficult situation involving cognitive impairment. Brian, I know this is 703 00:35:52,400 --> 00:35:54,520 Speaker 1: near and dear to your heart, and you always do 704 00:35:54,640 --> 00:35:57,319 Speaker 1: a great job in situations like this, walk us through 705 00:35:57,400 --> 00:35:58,359 Speaker 1: what's going on right now? 706 00:35:59,000 --> 00:36:01,840 Speaker 2: Yeah, heading a tension getter earlier this week, one of 707 00:36:01,920 --> 00:36:04,120 Speaker 2: these things that makes you makes you stop and take 708 00:36:04,239 --> 00:36:07,000 Speaker 2: take pause and make sure you're appreciating the people that 709 00:36:07,120 --> 00:36:09,040 Speaker 2: are around you when when they can understand it. 710 00:36:09,600 --> 00:36:12,200 Speaker 3: Uh So, on one of my favorite clients, married couple 711 00:36:12,280 --> 00:36:12,480 Speaker 3: came in. 712 00:36:12,640 --> 00:36:15,560 Speaker 2: One of the spouses dropped the bombshell on me, uh 713 00:36:15,760 --> 00:36:20,560 Speaker 2: that he had been diagnosed with early onset Alzheimer's And 714 00:36:21,000 --> 00:36:23,080 Speaker 2: this was news to them as well, but apparently does 715 00:36:23,160 --> 00:36:24,680 Speaker 2: run in the family. That was I didn't know that, 716 00:36:24,800 --> 00:36:27,680 Speaker 2: but apparently they weren't overly shocked by it. It's just unfortunately, 717 00:36:27,680 --> 00:36:30,080 Speaker 2: it's just his turn, and it's really really sad. But 718 00:36:30,239 --> 00:36:33,400 Speaker 2: so we spent that conversation doing fine now, so you know, 719 00:36:33,480 --> 00:36:36,040 Speaker 2: things functioning okay, but obviously that changes the trajectory that 720 00:36:36,080 --> 00:36:38,320 Speaker 2: we're on. And so it just got me thinking a 721 00:36:38,360 --> 00:36:40,600 Speaker 2: lot about what why is this such a bigger concern 722 00:36:40,800 --> 00:36:43,560 Speaker 2: you know nowadays than it was back then. You know, 723 00:36:43,760 --> 00:36:46,280 Speaker 2: so so for a lot of modern history, cognitive decline 724 00:36:46,360 --> 00:36:48,520 Speaker 2: was more of a medical issue, not so much a 725 00:36:48,600 --> 00:36:51,439 Speaker 2: financial issue. Well, now we've come to a time where 726 00:36:51,719 --> 00:36:55,400 Speaker 2: where there's so many are our financial fortunes are so 727 00:36:55,719 --> 00:36:58,960 Speaker 2: tied to our piles of money that we can control, 728 00:36:59,400 --> 00:37:01,759 Speaker 2: not so much streams of income that just show up 729 00:37:01,800 --> 00:37:03,320 Speaker 2: in the mailbox and then we dole them out and 730 00:37:03,360 --> 00:37:05,880 Speaker 2: pay of bills. That means these piles of money we 731 00:37:05,960 --> 00:37:09,400 Speaker 2: have have to be taken care of. This provides greater opportunity. Right, 732 00:37:09,440 --> 00:37:11,279 Speaker 2: I can invest, I can grow, I can do things. 733 00:37:11,360 --> 00:37:13,520 Speaker 2: I can do all kinds of things that I couldn't 734 00:37:13,560 --> 00:37:17,319 Speaker 2: do before. Prior generations were perfectly fined financially but tied 735 00:37:17,360 --> 00:37:20,399 Speaker 2: down with pensions and just social security, those kinds of things, 736 00:37:20,600 --> 00:37:22,799 Speaker 2: not a lot of flexibility. Now we've got a lot 737 00:37:22,880 --> 00:37:26,040 Speaker 2: more flexibility. But with that comes risk and needing to 738 00:37:26,160 --> 00:37:28,880 Speaker 2: make sure that we plan ahead, because there will come 739 00:37:28,920 --> 00:37:30,759 Speaker 2: a time where somebody is choosing. 740 00:37:30,480 --> 00:37:32,560 Speaker 3: Whether to take this risk or that risk, or no 741 00:37:32,719 --> 00:37:33,400 Speaker 3: risk at all. 742 00:37:33,640 --> 00:37:36,960 Speaker 2: And when the cognitive underpinnings that we've been relying on 743 00:37:37,080 --> 00:37:40,160 Speaker 2: no longer work, that's a major risk. So proactive planning. 744 00:37:40,440 --> 00:37:43,480 Speaker 2: How do we deal with this foundational documents, a durable 745 00:37:43,560 --> 00:37:45,520 Speaker 2: financial power of attorney. These are things we're working on 746 00:37:45,640 --> 00:37:49,120 Speaker 2: right now for this couple that's going through this in 747 00:37:49,239 --> 00:37:51,560 Speaker 2: making sure that we know who makes the decisions, who 748 00:37:51,680 --> 00:37:54,160 Speaker 2: takes over, and who decides when it's time to take 749 00:37:54,200 --> 00:37:57,399 Speaker 2: over healthcare powers of attorney. That's important too, living will 750 00:37:57,480 --> 00:37:59,920 Speaker 2: what do I want done in case I can't make 751 00:38:00,040 --> 00:38:04,000 Speaker 2: my own decisions. A revocable trust sometimes can play a 752 00:38:04,040 --> 00:38:06,000 Speaker 2: big role here because that will put in that can 753 00:38:06,080 --> 00:38:08,279 Speaker 2: put a lot of non financial assets that can be 754 00:38:08,360 --> 00:38:12,279 Speaker 2: tougher to control that you can clearly designate who owns it. 755 00:38:12,320 --> 00:38:14,160 Speaker 2: If the trust owns it, that means the trustee is 756 00:38:14,239 --> 00:38:16,560 Speaker 2: making decisions, and then you are the one who will 757 00:38:16,640 --> 00:38:19,160 Speaker 2: decide who you know, that's the way you'll decide who 758 00:38:19,200 --> 00:38:24,040 Speaker 2: decides on those particular assets. Older generations oftentimes assumed the 759 00:38:24,120 --> 00:38:27,760 Speaker 2: family was going to provide care. But today everybody scattered 760 00:38:27,760 --> 00:38:30,279 Speaker 2: across the country and we have dual income households, meaning 761 00:38:30,400 --> 00:38:32,680 Speaker 2: that there's nobody in the household has the time to 762 00:38:32,719 --> 00:38:36,799 Speaker 2: do it, not a real realistic assumption. There long term 763 00:38:36,880 --> 00:38:39,560 Speaker 2: care costs, that's obviously an option, but those can exceed 764 00:38:39,600 --> 00:38:42,360 Speaker 2: one hundred thousand dollars for skilled nursing rising faster than 765 00:38:42,440 --> 00:38:44,960 Speaker 2: general inflation of course, just like any other healthcare expense. 766 00:38:45,239 --> 00:38:47,600 Speaker 3: So the point of all this is to take it, 767 00:38:47,719 --> 00:38:49,520 Speaker 3: take some time and think about what this might mean 768 00:38:49,600 --> 00:38:49,759 Speaker 3: to you. 769 00:38:50,160 --> 00:38:51,839 Speaker 2: I just like I said, I just made made eye 770 00:38:51,880 --> 00:38:53,640 Speaker 2: contact in the same room with a couple who was 771 00:38:53,680 --> 00:38:56,560 Speaker 2: dealing with this today. Wasn't a thing last week, this 772 00:38:56,719 --> 00:38:59,040 Speaker 2: week it is, so think about how it might impact you. 773 00:39:00,239 --> 00:39:02,640 Speaker 1: Thanks for listening to night You've been listening to Simply Money, 774 00:39:02,680 --> 00:39:05,200 Speaker 1: presented by Allworth Financial on fifty five k r C, 775 00:39:05,600 --> 00:39:06,560 Speaker 1: the talk station