1 00:00:00,080 --> 00:00:05,240 Speaker 1: Station eight o six on a Monday. I hope you 2 00:00:05,280 --> 00:00:08,039 Speaker 1: know what that means. It's that time talking money matters. 3 00:00:08,080 --> 00:00:11,520 Speaker 1: It's money Monday with all Worth Financials. Brian James appreciate 4 00:00:11,560 --> 00:00:13,880 Speaker 1: all Worth loading out every Monday to talk about financial matters. 5 00:00:13,920 --> 00:00:15,600 Speaker 1: I hope you had a wonderful weekend. You're ready for 6 00:00:15,600 --> 00:00:19,320 Speaker 1: the holidays, Brian, we are. Yeah, We've got all local. 7 00:00:19,360 --> 00:00:21,200 Speaker 1: We're a good West side Cincinnati family. 8 00:00:21,239 --> 00:00:23,680 Speaker 2: So nobody ever left town very far, so we just 9 00:00:23,720 --> 00:00:25,160 Speaker 2: got a lot of places they hit over the next 10 00:00:25,160 --> 00:00:25,520 Speaker 2: few weeks. 11 00:00:25,600 --> 00:00:27,440 Speaker 1: H Yeah, I'm sure you're looking forward to it. I know, 12 00:00:27,520 --> 00:00:29,520 Speaker 1: I am. It's nice to excel a little bit and 13 00:00:29,640 --> 00:00:31,760 Speaker 1: try to enjoy something so much gloom and doom in 14 00:00:31,800 --> 00:00:34,960 Speaker 1: the news these days. Just I'm glad the holidays are 15 00:00:34,960 --> 00:00:37,080 Speaker 1: fast approaching for that reason alone. If there are any 16 00:00:37,080 --> 00:00:40,600 Speaker 1: other I gotta ask you. This Federal Reserve cut interest 17 00:00:40,640 --> 00:00:44,720 Speaker 1: rates by a quarter point and there was apparently dissension 18 00:00:44,760 --> 00:00:47,080 Speaker 1: among the ranks. We had Chicago's Fed president and the 19 00:00:47,159 --> 00:00:49,640 Speaker 1: Kansas City Fed saying no, no, you need a whole rate steady. 20 00:00:50,360 --> 00:00:54,640 Speaker 1: The Fed Governor, Stephen Moran said they've fifty percent basis 21 00:00:54,640 --> 00:00:56,560 Speaker 1: point cut, so point five and it came in at 22 00:00:56,560 --> 00:00:59,760 Speaker 1: point twenty five. What's the argument about Brian James. What 23 00:01:00,520 --> 00:01:02,840 Speaker 1: seems to be the problem here reaching a consensus? 24 00:01:03,000 --> 00:01:05,400 Speaker 3: Well, you know that people have different opinions is really 25 00:01:06,440 --> 00:01:06,960 Speaker 3: all this thing. 26 00:01:07,040 --> 00:01:09,640 Speaker 2: It really turns out we don't just move in lockstep 27 00:01:09,680 --> 00:01:12,640 Speaker 2: go figure. So, yeah, there were three descents this time around. 28 00:01:12,920 --> 00:01:15,120 Speaker 2: There were two that wanted to keep rates exactly where 29 00:01:15,120 --> 00:01:18,399 Speaker 2: they were, with concerns about elevated inflation, which is really, 30 00:01:18,440 --> 00:01:20,240 Speaker 2: you know, inflation has just never gone away. I don't 31 00:01:20,240 --> 00:01:22,800 Speaker 2: know that it's necessarily new inflation, it just hasn't gotten back. 32 00:01:22,680 --> 00:01:23,160 Speaker 3: To where we want. 33 00:01:23,560 --> 00:01:26,040 Speaker 2: And then another one wanted a steeper cutout about a 34 00:01:26,080 --> 00:01:30,120 Speaker 2: half percent. That one was concerned about a slowing labor market, 35 00:01:30,160 --> 00:01:33,560 Speaker 2: in other words, we want This person wanted to basically 36 00:01:33,640 --> 00:01:36,200 Speaker 2: kind of goose the system to sit, to entice businesses 37 00:01:36,200 --> 00:01:40,200 Speaker 2: to invest more and then re energize the hiring market. 38 00:01:40,280 --> 00:01:43,399 Speaker 2: So there's more new projections out there, some of them 39 00:01:43,400 --> 00:01:48,000 Speaker 2: painting a more optimistic, bigger picture, and so they did 40 00:01:48,440 --> 00:01:51,200 Speaker 2: increase their GDP forecast for twenty six to two point 41 00:01:51,280 --> 00:01:52,960 Speaker 2: three percent from one point eight. 42 00:01:53,000 --> 00:01:53,760 Speaker 3: So obviously that's good. 43 00:01:53,760 --> 00:01:57,480 Speaker 2: They're seeing better times ahead and reducing the twenty six 44 00:01:57,520 --> 00:01:59,840 Speaker 2: inflation projections to two point four percent. 45 00:02:00,080 --> 00:02:02,440 Speaker 3: Two point six so as we're sitting here right now. 46 00:02:02,600 --> 00:02:05,600 Speaker 2: Oh and also they kept unemployment the unemployment projections at 47 00:02:05,600 --> 00:02:07,720 Speaker 2: four point four for next year. So as we're sitting 48 00:02:07,720 --> 00:02:10,360 Speaker 2: here right now, it seems to be we are leaning 49 00:02:10,400 --> 00:02:13,400 Speaker 2: toward the opinion of the general opinion of the Fed 50 00:02:13,440 --> 00:02:16,800 Speaker 2: governors is positive. We're seeing better things coming with regard 51 00:02:16,880 --> 00:02:20,600 Speaker 2: to both inflation and economic growth. But yes, like you said, 52 00:02:20,600 --> 00:02:22,480 Speaker 2: we do still have some descent among the ranks. 53 00:02:22,600 --> 00:02:24,840 Speaker 1: Okay, and I certainly get to this sounds kind of 54 00:02:24,919 --> 00:02:26,680 Speaker 1: joke a little bit there, But let me ask you this. 55 00:02:26,760 --> 00:02:29,079 Speaker 1: You mentioned the economic forecast, and I was glad you did, 56 00:02:29,160 --> 00:02:32,639 Speaker 1: because they project where they think the economy is going, 57 00:02:32,680 --> 00:02:36,240 Speaker 1: inflation and and employment and all that is. Are there 58 00:02:36,240 --> 00:02:39,160 Speaker 1: any statistics about how accurate they are with these forecasts, 59 00:02:39,160 --> 00:02:43,079 Speaker 1: because you know, someone wrote down accurate. Is this science 60 00:02:43,240 --> 00:02:45,000 Speaker 1: or alchemy? That will be me? 61 00:02:45,200 --> 00:02:45,440 Speaker 3: Really? 62 00:02:45,480 --> 00:02:48,640 Speaker 1: What's behind this? And has anybody checked their overall accuracy 63 00:02:48,720 --> 00:02:49,440 Speaker 1: rate over the years. 64 00:02:49,800 --> 00:02:51,920 Speaker 2: Well, I think they've kind of They run hot and cold, 65 00:02:52,000 --> 00:02:53,840 Speaker 2: and we get excited about them when they're super accurate. 66 00:02:53,880 --> 00:02:54,919 Speaker 3: We get excited about. 67 00:02:54,680 --> 00:02:56,280 Speaker 2: Them when they're not accurate at all when they're in 68 00:02:56,320 --> 00:02:58,200 Speaker 2: the When they're kind of in the middle, we don't 69 00:02:58,200 --> 00:03:02,480 Speaker 2: pay attention a whole lot. So but yeah, these are 70 00:03:03,000 --> 00:03:06,400 Speaker 2: generally considered to be directionally useful but numerically wrong. So, 71 00:03:06,800 --> 00:03:09,320 Speaker 2: for example, in twenty one and twenty two, the FED 72 00:03:09,360 --> 00:03:12,200 Speaker 2: repeatedly projected inflation was going to fall quickly, only to 73 00:03:12,240 --> 00:03:15,240 Speaker 2: see it spike to forty year highs. Remember transitory inflation, 74 00:03:15,400 --> 00:03:19,079 Speaker 2: Well that wasn't exactly transitory. And over the last fifteen 75 00:03:19,320 --> 00:03:22,200 Speaker 2: fifteen years, we've repeatedly predicted slower GDP. 76 00:03:22,040 --> 00:03:23,480 Speaker 3: Growth than what has actually occurred. 77 00:03:24,040 --> 00:03:27,080 Speaker 2: Twenty thirteen to twenty nineteen growth was consistently ahead of 78 00:03:27,080 --> 00:03:29,639 Speaker 2: FED estimates. So now the FED hasn't been any more 79 00:03:29,680 --> 00:03:33,040 Speaker 2: accurate really than many other resources in terms of projecting 80 00:03:33,040 --> 00:03:35,840 Speaker 2: all this. And part of me wants to believe that 81 00:03:35,960 --> 00:03:38,160 Speaker 2: this might be because it's gonna hurt a lot more 82 00:03:38,200 --> 00:03:41,200 Speaker 2: if we tell everybody everything is wonderful, because people will 83 00:03:41,200 --> 00:03:43,600 Speaker 2: tend to take that and multiply it by ten, and 84 00:03:43,680 --> 00:03:47,200 Speaker 2: so it is reasonable to me that they might be 85 00:03:47,280 --> 00:03:50,120 Speaker 2: hesitant to really kind of light that light things on 86 00:03:50,160 --> 00:03:53,200 Speaker 2: fire too quickly, and therefore they kind of lean toward 87 00:03:53,280 --> 00:03:54,560 Speaker 2: urging caution a little more often. 88 00:03:54,720 --> 00:03:58,200 Speaker 1: Well, with hindsight, it should. Do you think they're lamenting 89 00:03:58,240 --> 00:03:59,680 Speaker 1: the fact they didn't put the brakes on a little 90 00:03:59,680 --> 00:04:02,560 Speaker 1: bit sooner considering the trillions of dollars that were infused 91 00:04:02,600 --> 00:04:06,080 Speaker 1: into the economy through all these massive government spending programs 92 00:04:06,160 --> 00:04:07,040 Speaker 1: during the COVID time. 93 00:04:07,640 --> 00:04:08,320 Speaker 3: Oh, for sure. 94 00:04:08,360 --> 00:04:11,240 Speaker 2: I mean, because we had unbridled spending and we didn't 95 00:04:11,240 --> 00:04:12,960 Speaker 2: have a whole lot of oversight over the whole thing. 96 00:04:13,040 --> 00:04:15,400 Speaker 2: But yeah, I think at the time there was just 97 00:04:15,480 --> 00:04:18,479 Speaker 2: out and out panic among you know, the decision makers 98 00:04:18,480 --> 00:04:20,039 Speaker 2: from a standpoint of we don't know what this is, 99 00:04:20,080 --> 00:04:21,560 Speaker 2: we don't know how long this is going to last. 100 00:04:21,640 --> 00:04:23,279 Speaker 3: We just know we have to do something big and 101 00:04:23,320 --> 00:04:24,000 Speaker 3: something quick. 102 00:04:24,240 --> 00:04:25,760 Speaker 2: And I think and then a lot a lot of 103 00:04:25,760 --> 00:04:27,719 Speaker 2: cases that got us back to things we've seen in 104 00:04:27,760 --> 00:04:29,919 Speaker 2: the past where we've done a lot of spending like 105 00:04:29,920 --> 00:04:34,160 Speaker 2: that with really out any any handcuffs on it, and 106 00:04:34,240 --> 00:04:36,120 Speaker 2: that gets us the inflation that we've gotten. We saw 107 00:04:36,120 --> 00:04:39,240 Speaker 2: that in the late seventies early eighties when we were 108 00:04:39,279 --> 00:04:42,640 Speaker 2: when we basically cut interest rates too low during the 109 00:04:42,720 --> 00:04:45,560 Speaker 2: Nixon administration, and that begat a bunch of inflation over 110 00:04:45,600 --> 00:04:48,800 Speaker 2: the next several several years, leading to really really high 111 00:04:48,800 --> 00:04:51,239 Speaker 2: interest rates in the late eighties, well the early eighties. 112 00:04:51,240 --> 00:04:52,880 Speaker 1: It is one of the big question marks the scenes 113 00:04:52,920 --> 00:04:54,440 Speaker 1: to be swirling about all this. And one of the 114 00:04:54,440 --> 00:04:56,440 Speaker 1: reasons I think they lowered the interest rate by our 115 00:04:56,520 --> 00:04:59,880 Speaker 1: quarter point is because of the concern over the labor market. See, 116 00:05:00,000 --> 00:05:02,360 Speaker 1: we used to be a rather moving target these days, 117 00:05:02,360 --> 00:05:04,479 Speaker 1: and I've read a number of articles where there's like 118 00:05:04,680 --> 00:05:07,960 Speaker 1: question marks over waitment. What is the true state of 119 00:05:07,960 --> 00:05:09,680 Speaker 1: the labor market. It seems that there's a lot of 120 00:05:09,760 --> 00:05:11,560 Speaker 1: people that are supposed to be in the know that 121 00:05:12,040 --> 00:05:15,320 Speaker 1: aren't quite in the know on that. But all the 122 00:05:15,400 --> 00:05:19,080 Speaker 1: arras seem to point to a deteriorating labor market. If 123 00:05:19,120 --> 00:05:21,000 Speaker 1: for no other reason, We're going to talk about artificial 124 00:05:21,000 --> 00:05:23,360 Speaker 1: intelligence in the next segment. This may be a bubble coming, 125 00:05:23,400 --> 00:05:26,400 Speaker 1: but AI is in fact replacing a lot of jobs, 126 00:05:26,440 --> 00:05:29,159 Speaker 1: and does it seems like that that trajectory is not 127 00:05:29,200 --> 00:05:30,840 Speaker 1: going to go anywhere anytime soon. 128 00:05:31,720 --> 00:05:34,960 Speaker 2: Yeah, And we do have some jobs data coming out here, 129 00:05:35,040 --> 00:05:38,279 Speaker 2: and we have to look with a little bit of 130 00:05:38,279 --> 00:05:40,400 Speaker 2: a cross eye at the at the data we're getting 131 00:05:40,400 --> 00:05:43,200 Speaker 2: because who knows what we're seeing anymore? Because we're kind 132 00:05:43,240 --> 00:05:45,480 Speaker 2: of swapping this in for that and that kind of thing. 133 00:05:45,520 --> 00:05:47,479 Speaker 2: But in any case, where we are right now, the 134 00:05:47,520 --> 00:05:51,360 Speaker 2: November payroll payroll comes out this week, but we still 135 00:05:51,400 --> 00:05:54,880 Speaker 2: got some good information this week anyway. So August was 136 00:05:54,920 --> 00:05:57,760 Speaker 2: the last time the Jolts survey was updated, and that 137 00:05:57,920 --> 00:06:02,440 Speaker 2: showed opening job openings near multi year lows. And after 138 00:06:02,480 --> 00:06:05,400 Speaker 2: the government reopened, there was a jump in September to 139 00:06:05,440 --> 00:06:08,440 Speaker 2: seven point six million from seven point two and October 140 00:06:08,560 --> 00:06:11,320 Speaker 2: data is inching higher to seven point six So most 141 00:06:11,320 --> 00:06:14,240 Speaker 2: of these increases are coming from lower skill service jobs 142 00:06:14,240 --> 00:06:17,080 Speaker 2: and those are still dealing with seasonal quirks. So we 143 00:06:17,160 --> 00:06:18,840 Speaker 2: obviously we're in the holiday so you're gonna see a 144 00:06:18,880 --> 00:06:21,520 Speaker 2: little bit of fuzziness there. But all this data tells 145 00:06:21,600 --> 00:06:23,599 Speaker 2: us that workers are feeling a little bit less confident 146 00:06:23,600 --> 00:06:26,080 Speaker 2: about leaving that current job to find a new one 147 00:06:26,120 --> 00:06:30,279 Speaker 2: without already having secured something. You know, when these indexes 148 00:06:30,320 --> 00:06:32,560 Speaker 2: look a little bit different, that's when people feel like, Okay, 149 00:06:32,600 --> 00:06:34,400 Speaker 2: the job market is healthy, so I'm going to go 150 00:06:34,400 --> 00:06:36,400 Speaker 2: ahead and leave this job that's making me miserable and 151 00:06:36,440 --> 00:06:38,760 Speaker 2: I'll find something else later. Well, we're not seeing this 152 00:06:38,800 --> 00:06:41,840 Speaker 2: is the quis rate I'm referring to. So people are 153 00:06:41,960 --> 00:06:46,000 Speaker 2: hanging on to older jobs without you know, having found 154 00:06:46,000 --> 00:06:48,320 Speaker 2: a new one yet, So a little bit of insecurity there. 155 00:06:48,600 --> 00:06:51,440 Speaker 1: So I hear what you're saying, no reason to doubt that. 156 00:06:51,520 --> 00:06:54,040 Speaker 1: But I keep again reading a bunch of articles about 157 00:06:54,040 --> 00:06:56,880 Speaker 1: how concerned people are that are looking to hire people 158 00:06:56,920 --> 00:06:59,360 Speaker 1: they can't find qualified people for the job, or the 159 00:06:59,360 --> 00:07:02,640 Speaker 1: people that they find are not well, not very good workers. 160 00:07:02,680 --> 00:07:05,640 Speaker 1: So there seems to be a demand out there for workers. 161 00:07:05,720 --> 00:07:08,080 Speaker 1: But I guess not in all sectors you mentioned the 162 00:07:08,480 --> 00:07:11,040 Speaker 1: lower level sectors, or are there other areas that have 163 00:07:11,040 --> 00:07:12,440 Speaker 1: been impacted one way or the other. 164 00:07:12,720 --> 00:07:14,280 Speaker 2: Well, I think there's just a heel. Like you said, 165 00:07:14,280 --> 00:07:16,400 Speaker 2: there's a huge disconnect. It would be wonderful to get 166 00:07:16,440 --> 00:07:18,040 Speaker 2: all these people in the same room. The people who 167 00:07:18,040 --> 00:07:19,960 Speaker 2: are saying there aren't enough jobs available. This is the 168 00:07:19,960 --> 00:07:22,240 Speaker 2: people whore saying there aren't enough workers available. I would 169 00:07:22,280 --> 00:07:24,640 Speaker 2: like to get them into one big, giant hotel conference 170 00:07:24,680 --> 00:07:27,240 Speaker 2: room and maybe just kind of have a big job 171 00:07:27,320 --> 00:07:30,440 Speaker 2: fare and see how that goes. But I have a 172 00:07:30,480 --> 00:07:34,000 Speaker 2: feeling this is more of a discrepancy of employers not 173 00:07:34,160 --> 00:07:37,320 Speaker 2: wanting to give the perks that people still feel should 174 00:07:37,360 --> 00:07:40,480 Speaker 2: be involved in a job such as a flexible work schedule, hybrid. 175 00:07:40,200 --> 00:07:41,520 Speaker 3: And remote work, those kinds of things. 176 00:07:41,560 --> 00:07:43,920 Speaker 2: And then of course there we'll never see the eye 177 00:07:43,920 --> 00:07:46,400 Speaker 2: to eye on what the compensation should be in general. 178 00:07:46,480 --> 00:07:49,800 Speaker 2: So to me, all of that speaks more to a 179 00:07:49,920 --> 00:07:53,280 Speaker 2: lack of willingness to compromise on both sides than it 180 00:07:53,320 --> 00:07:55,720 Speaker 2: does complete blindness to the other side. 181 00:07:55,880 --> 00:07:59,160 Speaker 1: All right, and the all important question the quarter point drop, 182 00:08:00,200 --> 00:08:03,040 Speaker 1: is that going to translate into lower mortgage rates. 183 00:08:03,440 --> 00:08:05,840 Speaker 2: Well it should, But at the same time, there's a 184 00:08:05,840 --> 00:08:08,640 Speaker 2: lot of people out there, Brian who bought houses and 185 00:08:08,880 --> 00:08:10,760 Speaker 2: wound up with a eight eight and a half percent 186 00:08:10,800 --> 00:08:13,920 Speaker 2: mortgage something like that, And so we're gonna see those 187 00:08:13,920 --> 00:08:15,120 Speaker 2: folks who are obviously seeing. 188 00:08:14,960 --> 00:08:16,440 Speaker 3: An opportunity to refinance. 189 00:08:16,480 --> 00:08:19,120 Speaker 2: Sure, but that also was putting, that was pushing, you know, 190 00:08:19,120 --> 00:08:22,840 Speaker 2: those higher registrates were keeping people from moving at all, deciding, 191 00:08:22,960 --> 00:08:24,840 Speaker 2: you know, we'll push it out another couple three years. Well, 192 00:08:24,840 --> 00:08:26,920 Speaker 2: now that interest rates are falling a bit, I think 193 00:08:26,960 --> 00:08:30,680 Speaker 2: we might see the demand for housing pop back up 194 00:08:30,720 --> 00:08:32,880 Speaker 2: just a little bit, because people who would would have 195 00:08:32,920 --> 00:08:35,520 Speaker 2: moved otherwise over the last couple three years held off, 196 00:08:35,559 --> 00:08:37,520 Speaker 2: and now things are more a little more favorable for 197 00:08:37,600 --> 00:08:38,120 Speaker 2: them to do so. 198 00:08:38,360 --> 00:08:41,120 Speaker 1: And under those circumstances, don't we still have an inventory 199 00:08:41,240 --> 00:08:44,240 Speaker 1: problem because I got the impression that we're kind of 200 00:08:44,240 --> 00:08:45,520 Speaker 1: short on housing supply. 201 00:08:46,320 --> 00:08:48,920 Speaker 3: Yeah, and I think there's there's a lot to be 202 00:08:48,960 --> 00:08:50,839 Speaker 3: said too. We're also moving into a slower time of 203 00:08:50,880 --> 00:08:52,480 Speaker 3: year where people just don't want to move. So if 204 00:08:52,520 --> 00:08:52,880 Speaker 3: I have the. 205 00:08:52,960 --> 00:08:54,839 Speaker 2: Cold out, it's exactly, I don't want to go get 206 00:08:54,840 --> 00:08:56,720 Speaker 2: the paper, let alone move everything. I know. 207 00:08:57,840 --> 00:08:59,800 Speaker 3: So, yeah, we're entering in that time of year. 208 00:08:59,800 --> 00:09:03,680 Speaker 2: And yeah, so there are fewer houses hitting the market. 209 00:09:03,679 --> 00:09:06,160 Speaker 2: I don't see cracks in the foundation or anything like that, 210 00:09:06,559 --> 00:09:08,520 Speaker 2: just kind of a downswing in the overall activity. 211 00:09:08,800 --> 00:09:10,960 Speaker 1: All right, fair enough, We'll continue with Brian James speaking 212 00:09:11,000 --> 00:09:14,880 Speaker 1: of artificial intelligence Wall Street seeing an AI bubble coming. 213 00:09:15,720 --> 00:09:18,280 Speaker 1: What's that mean for us generally speaking? We'll learn about 214 00:09:18,280 --> 00:09:20,920 Speaker 1: that with Brian James. Stick around me right back fast 215 00:09:20,960 --> 00:09:23,040 Speaker 1: and pro roofing a reputable company that pre. 216 00:09:23,080 --> 00:09:23,839 Speaker 3: The talk station. 217 00:09:29,920 --> 00:09:33,400 Speaker 1: It's eight nineteen at fifty five KRC, the Talk Station, 218 00:09:33,679 --> 00:09:35,880 Speaker 1: Happy Monday, Brian James. 219 00:09:35,920 --> 00:09:36,600 Speaker 3: All were financials. 220 00:09:36,640 --> 00:09:39,040 Speaker 1: Brian James going through the Money Monday segment, and we're 221 00:09:39,040 --> 00:09:41,560 Speaker 1: going to talk about owner We're going to see another 222 00:09:41,600 --> 00:09:44,320 Speaker 1: tech bubble in the form of an AI bubble. Brian James, 223 00:09:44,360 --> 00:09:47,160 Speaker 1: Billions of dollars being thrown a fit at artificial intelligence 224 00:09:47,200 --> 00:09:50,640 Speaker 1: and a real game changer in terms of our energy needs. 225 00:09:50,679 --> 00:09:52,960 Speaker 1: And maybe we'll have a reform in terms of where 226 00:09:53,000 --> 00:09:56,160 Speaker 1: we get our energy from, notably small nuclear reactors. Please, 227 00:09:56,200 --> 00:09:59,160 Speaker 1: Dear God, let us have those. But is this a 228 00:09:59,160 --> 00:10:02,040 Speaker 1: bubble getting ready to pop? The whole world's competing on 229 00:10:02,040 --> 00:10:02,720 Speaker 1: this stage. 230 00:10:02,880 --> 00:10:06,160 Speaker 2: Well, yeah, there's and this is AI has been a catalyst, 231 00:10:06,240 --> 00:10:09,200 Speaker 2: just like lots of other technological headlines over the last 232 00:10:09,200 --> 00:10:11,240 Speaker 2: thirty years. I remember remember when the Internet was very 233 00:10:11,240 --> 00:10:13,480 Speaker 2: first a brand new thing in the late nineties and 234 00:10:13,480 --> 00:10:16,079 Speaker 2: early two thousands. Well, obviously that was not a flash 235 00:10:16,120 --> 00:10:18,440 Speaker 2: in the pan, and it'd be got more bubbles. But 236 00:10:18,520 --> 00:10:20,520 Speaker 2: what we're concerned about here right now is you're seeing 237 00:10:20,559 --> 00:10:22,400 Speaker 2: a lot of sell offs on Nvidia, some of the 238 00:10:22,400 --> 00:10:25,520 Speaker 2: big names. An Oracle stock that has plunged after they 239 00:10:25,559 --> 00:10:27,400 Speaker 2: were they hit about three hundred and twenty bucks a share, 240 00:10:27,440 --> 00:10:29,040 Speaker 2: Now they're down to about one hundred and eighty eight. 241 00:10:29,360 --> 00:10:32,920 Speaker 2: A big step back for Oracle that was from October 242 00:10:33,000 --> 00:10:36,200 Speaker 2: to now, and just over a lot of AI spending 243 00:10:36,520 --> 00:10:40,040 Speaker 2: a weakening sentiment for firms tied to these platforms like 244 00:10:40,040 --> 00:10:41,840 Speaker 2: like open ai, and that's open Ai is the one 245 00:10:41,880 --> 00:10:42,640 Speaker 2: behind chat GPT. 246 00:10:42,760 --> 00:10:44,360 Speaker 3: Of course, the Microsoft is doing a lot of money 247 00:10:44,360 --> 00:10:45,120 Speaker 3: them as well. 248 00:10:45,640 --> 00:10:48,640 Speaker 2: And so I think investors are looking at the kind 249 00:10:48,679 --> 00:10:50,680 Speaker 2: of debating, okay, for twenty twenty six, how do I 250 00:10:50,720 --> 00:10:51,520 Speaker 2: want to be positioned? 251 00:10:51,520 --> 00:10:52,320 Speaker 3: Do want to do? 252 00:10:52,400 --> 00:10:55,080 Speaker 2: I want to stay as exposed given the run up 253 00:10:55,120 --> 00:10:57,120 Speaker 2: that all these stocks have had, and given the fact 254 00:10:57,120 --> 00:11:00,800 Speaker 2: that we really haven't had much of a shakeout. Remember 255 00:11:00,800 --> 00:11:02,480 Speaker 2: back two thousand and one, two thousand and two, that 256 00:11:02,679 --> 00:11:05,240 Speaker 2: was the shakeout of the original Internet bubble, and that's 257 00:11:05,280 --> 00:11:07,880 Speaker 2: when the winners and losers were first chosen. That has 258 00:11:08,040 --> 00:11:10,439 Speaker 2: not happened yet in the AI space, and I think 259 00:11:10,480 --> 00:11:12,400 Speaker 2: investors might be starting to look to that saying, okay, 260 00:11:12,440 --> 00:11:14,600 Speaker 2: it's really time for time for things to kind of 261 00:11:14,600 --> 00:11:17,000 Speaker 2: move to a little bit of a ranked order in 262 00:11:17,040 --> 00:11:18,640 Speaker 2: terms of who's going to survive and who's not. 263 00:11:18,800 --> 00:11:20,520 Speaker 1: Well, it's like crypto in a way, isn't it. There's 264 00:11:20,520 --> 00:11:23,760 Speaker 1: like eight gajillion different cryptos out there, and you know, 265 00:11:24,200 --> 00:11:27,160 Speaker 1: I guess one of them, maybe or more, are going 266 00:11:27,200 --> 00:11:29,200 Speaker 1: to emerge as the top contenders and the other one's 267 00:11:29,200 --> 00:11:31,120 Speaker 1: going to fall by the wayside? Am I close on that? 268 00:11:31,240 --> 00:11:31,480 Speaker 3: Well? 269 00:11:31,520 --> 00:11:32,959 Speaker 2: I mean I think I think the difference there is 270 00:11:33,280 --> 00:11:37,040 Speaker 2: Crypto is more speculatively based. I mean it's it's these 271 00:11:37,080 --> 00:11:40,839 Speaker 2: companies that are pursuing AI have different patented technologies, different 272 00:11:40,840 --> 00:11:43,960 Speaker 2: approaches to things, versus crypto, which is ninety percent what 273 00:11:44,040 --> 00:11:45,040 Speaker 2: does the herd want. 274 00:11:44,880 --> 00:11:46,440 Speaker 3: To buy to me? I got you so? 275 00:11:46,600 --> 00:11:47,839 Speaker 2: But yeah, so I think it's going to be a 276 00:11:47,840 --> 00:11:49,800 Speaker 2: little different than that. This will be more traditional. Let's 277 00:11:49,800 --> 00:11:52,000 Speaker 2: look at the business plans and the opportunity strengths and 278 00:11:52,040 --> 00:11:54,920 Speaker 2: weaknesses and all that of each individual company again versus 279 00:11:54,960 --> 00:11:56,640 Speaker 2: just speculative types of assets. 280 00:11:56,720 --> 00:12:02,120 Speaker 1: All right, Well, I guess in terms of exposure, I presumed, 281 00:12:02,160 --> 00:12:04,560 Speaker 1: since I have, you know, these managed funds and they're 282 00:12:04,559 --> 00:12:07,400 Speaker 1: filled with all kinds of different stocks, that anybody who's 283 00:12:07,400 --> 00:12:10,400 Speaker 1: got that kind of financial portfolio is exposed on some level. 284 00:12:10,440 --> 00:12:12,840 Speaker 1: I presume that some of my investments are in these 285 00:12:12,920 --> 00:12:13,800 Speaker 1: AI companies. 286 00:12:13,880 --> 00:12:16,280 Speaker 3: Right. Oh, it's hard, It's impossible to avoid. There's no way. 287 00:12:16,440 --> 00:12:18,920 Speaker 2: Yeah, even if you don't have anything that strictly is 288 00:12:19,280 --> 00:12:22,360 Speaker 2: itself involved in AI, it's a virtual guarantee that a 289 00:12:22,360 --> 00:12:24,720 Speaker 2: lot of the companies you've invested in via those mutual 290 00:12:24,720 --> 00:12:28,520 Speaker 2: funds and exchange traded funds are somehow themselves benefiting from AI. 291 00:12:28,880 --> 00:12:30,640 Speaker 2: There are a lot of savings and a lot of 292 00:12:31,400 --> 00:12:34,520 Speaker 2: efficiencies to be gained by allowing to allowing computers to 293 00:12:34,520 --> 00:12:36,480 Speaker 2: do more thinking pros and cons for sure, but we 294 00:12:36,520 --> 00:12:38,160 Speaker 2: can't pretend that these aren't these. 295 00:12:38,000 --> 00:12:39,080 Speaker 3: Aren't powerful tools. 296 00:12:39,320 --> 00:12:42,119 Speaker 2: So AI is going to filter its way into every 297 00:12:42,200 --> 00:12:46,000 Speaker 2: part of every industry just simply because of those efficiencies 298 00:12:46,040 --> 00:12:47,960 Speaker 2: that can be gained. If you own the S and 299 00:12:48,000 --> 00:12:50,480 Speaker 2: P five hundred, then a huge chunk of that the 300 00:12:50,600 --> 00:12:52,600 Speaker 2: largest holdings in there. And I feel like we've beaten 301 00:12:52,679 --> 00:12:54,840 Speaker 2: this to death on the radio waves here this last 302 00:12:54,840 --> 00:12:57,160 Speaker 2: several months. But a very very large chunk of the 303 00:12:57,200 --> 00:12:59,720 Speaker 2: S and P five hundred is focused in the technology 304 00:12:59,720 --> 00:13:03,640 Speaker 2: sect and just a handful of country companies. Because of 305 00:13:03,679 --> 00:13:05,840 Speaker 2: the way it's built, the S and P five hundred 306 00:13:05,920 --> 00:13:09,199 Speaker 2: is capitalization weighted. That means the bigger the company, the 307 00:13:09,679 --> 00:13:11,600 Speaker 2: more it makes up of the index. So as we 308 00:13:11,640 --> 00:13:14,079 Speaker 2: all know, technology is ruling the day at the moment, 309 00:13:14,120 --> 00:13:16,840 Speaker 2: so those tech companies are absolutely huge. If you have 310 00:13:16,920 --> 00:13:19,120 Speaker 2: the S and P five hundred index fund that's a 311 00:13:19,120 --> 00:13:20,480 Speaker 2: good fund, but. 312 00:13:20,559 --> 00:13:22,599 Speaker 3: Don't assume that you're completely diversified. 313 00:13:22,640 --> 00:13:24,840 Speaker 2: It's largely going to be driven by what technology does, 314 00:13:24,880 --> 00:13:27,160 Speaker 2: which that's just driving the market these past couple decades. 315 00:13:27,360 --> 00:13:31,400 Speaker 1: I guess it is now I'm guessing this is I 316 00:13:31,480 --> 00:13:33,439 Speaker 1: hate using the phrase piece of God, but it often 317 00:13:33,520 --> 00:13:35,959 Speaker 1: is like the passes all human understanding, and for Brian Thomas, 318 00:13:36,000 --> 00:13:39,400 Speaker 1: it passes my understanding. Now, there are different types of 319 00:13:39,559 --> 00:13:45,360 Speaker 1: artificial intelligence, the mechanism, the how it works, components behind 320 00:13:45,360 --> 00:13:48,560 Speaker 1: the scenes of computer number crunching, whatever it's doing. And 321 00:13:48,679 --> 00:13:51,240 Speaker 1: somebody is going to emerge as the predominant force at 322 00:13:51,240 --> 00:13:53,400 Speaker 1: some point, right other one is going to be better 323 00:13:53,440 --> 00:13:55,560 Speaker 1: than the other. So there's the tech component of it. 324 00:13:55,600 --> 00:13:59,280 Speaker 1: But then there's also the hardware part. Isn't Navidia don't 325 00:13:59,280 --> 00:14:00,600 Speaker 1: they manufacture the chips? 326 00:14:01,720 --> 00:14:03,480 Speaker 3: Correct? Yeah, there's a lot of components to this. 327 00:14:03,520 --> 00:14:05,640 Speaker 2: There there are, you know, and I think back always 328 00:14:05,679 --> 00:14:07,840 Speaker 2: us example, I think back to the gold Rush. The 329 00:14:07,880 --> 00:14:10,680 Speaker 2: gold Rush was not at all about people digging gold 330 00:14:10,679 --> 00:14:12,360 Speaker 2: out of the ground. In terms of who made the money. 331 00:14:12,559 --> 00:14:14,480 Speaker 2: It was the companies that realized that there was a 332 00:14:14,559 --> 00:14:17,760 Speaker 2: movement happening among society. A lot of people were moving 333 00:14:17,760 --> 00:14:19,640 Speaker 2: out west to go dig in the dirt. So the 334 00:14:19,680 --> 00:14:22,800 Speaker 2: companies that made a lot of money were Levi's because 335 00:14:22,960 --> 00:14:26,320 Speaker 2: they they invented clothing that was durable and would hold 336 00:14:26,400 --> 00:14:28,840 Speaker 2: up for that kind of thing. They were the Studebaker 337 00:14:28,880 --> 00:14:31,800 Speaker 2: company that ultimately became the automotive company that we know of. 338 00:14:32,080 --> 00:14:34,400 Speaker 3: They sold shovels. Go figure, that's a good idea. 339 00:14:34,680 --> 00:14:37,440 Speaker 2: Wells Fargo, that's where the stage coach came from. For 340 00:14:37,440 --> 00:14:39,920 Speaker 2: for all these businesses doing doing business out there on 341 00:14:39,960 --> 00:14:42,120 Speaker 2: the frontier, out on the fringes, somehow that money had 342 00:14:42,160 --> 00:14:44,360 Speaker 2: to get back to the to the financial centers. That's 343 00:14:44,360 --> 00:14:46,600 Speaker 2: where the stage coach came from. So it's same thing 344 00:14:46,680 --> 00:14:49,440 Speaker 2: is happening here. And Vidia makes the chips that will 345 00:14:49,440 --> 00:14:52,120 Speaker 2: support the demand that's out there. In Vidia is not 346 00:14:52,520 --> 00:14:57,160 Speaker 2: out there putting AI into companies and consulting with them 347 00:14:57,200 --> 00:14:59,200 Speaker 2: on how to use it. They're just creating the hardware 348 00:14:59,280 --> 00:15:00,760 Speaker 2: because they know that demand is going. 349 00:15:00,680 --> 00:15:03,080 Speaker 3: To be there for it. Are are they unique? 350 00:15:03,320 --> 00:15:05,480 Speaker 1: Because that's all the only company I hear about in 351 00:15:05,600 --> 00:15:07,240 Speaker 1: terms of chips, and I know there's got to be 352 00:15:07,280 --> 00:15:08,920 Speaker 1: more of them out there, But does Navidia have any 353 00:15:08,960 --> 00:15:12,160 Speaker 1: competitors along there? At their level. Yeah. 354 00:15:12,200 --> 00:15:14,600 Speaker 3: Yeah, so in Vidia, it is not a new company. 355 00:15:14,640 --> 00:15:16,160 Speaker 2: It's a new name to people who don't who haven't 356 00:15:16,160 --> 00:15:18,440 Speaker 2: necessarily paid much attention to the technology industry. But in 357 00:15:18,560 --> 00:15:21,440 Speaker 2: Vidia has been a graphics company for decades, right, right, 358 00:15:21,600 --> 00:15:22,280 Speaker 2: So this. 359 00:15:22,280 --> 00:15:25,280 Speaker 3: Is not They're not a you know, new on the scene. 360 00:15:25,800 --> 00:15:28,560 Speaker 2: But they have the right technology and the right patents 361 00:15:28,600 --> 00:15:32,000 Speaker 2: to make this, to make the chips that are that 362 00:15:32,000 --> 00:15:36,160 Speaker 2: that happen to be appropriate for graphical processing units. They 363 00:15:36,200 --> 00:15:39,120 Speaker 2: also happen to be the best brains for artificial intelligence. 364 00:15:39,120 --> 00:15:40,800 Speaker 2: So some of it is knowledge and some of it 365 00:15:40,880 --> 00:15:44,280 Speaker 2: is right place, right time. But but they quickly got there, 366 00:15:44,320 --> 00:15:46,880 Speaker 2: and they had the ability to scale it up in 367 00:15:47,400 --> 00:15:50,840 Speaker 2: order to basically provide enough supply for all the demand 368 00:15:50,840 --> 00:15:51,360 Speaker 2: that's out. 369 00:15:51,240 --> 00:15:54,600 Speaker 1: There, all right, And of course we have that you know, 370 00:15:55,640 --> 00:15:57,760 Speaker 1: critical question of whether they're going to be allowed to 371 00:15:57,760 --> 00:16:00,760 Speaker 1: sell chips that China and China's benefiting from official intelligence too. 372 00:16:00,760 --> 00:16:02,480 Speaker 1: The question is do we need to fund or help 373 00:16:02,520 --> 00:16:05,800 Speaker 1: our our foes if we may, in a geopolitical sense 374 00:16:05,840 --> 00:16:08,600 Speaker 1: refer to them along with their technology. So there's all 375 00:16:08,640 --> 00:16:09,920 Speaker 1: that that goes along with it. 376 00:16:10,640 --> 00:16:12,960 Speaker 2: Yeah, that's true, and there is competition out there right. 377 00:16:13,000 --> 00:16:15,200 Speaker 2: This doesn't mean that AMD and Intel have just kind 378 00:16:15,200 --> 00:16:17,480 Speaker 2: of gone away and vanished. They are still out there, 379 00:16:17,960 --> 00:16:20,520 Speaker 2: but in Vidia is the one again just has the 380 00:16:20,520 --> 00:16:23,760 Speaker 2: best technology to produce these things at scale. And there 381 00:16:23,880 --> 00:16:26,480 Speaker 2: is you know, there wasn't remember it wasn't that long 382 00:16:26,520 --> 00:16:28,800 Speaker 2: ago that China came out with a competitor that turned 383 00:16:28,800 --> 00:16:30,840 Speaker 2: out to be a little bit, a little bit fake, 384 00:16:30,840 --> 00:16:34,280 Speaker 2: a little bit plastic. But there are certainly other organizations 385 00:16:34,280 --> 00:16:37,600 Speaker 2: other countries out there looking for more you looking for 386 00:16:37,640 --> 00:16:40,480 Speaker 2: more efficiencies there that will compete with in Nvidia, and 387 00:16:40,600 --> 00:16:42,360 Speaker 2: Vidia just has that they have much more of the 388 00:16:42,480 --> 00:16:44,960 Speaker 2: vertical of producing all these types of things. 389 00:16:44,960 --> 00:16:46,200 Speaker 3: So that's why they're the leader right now. 390 00:16:46,280 --> 00:16:48,280 Speaker 1: All right, we'll continue with Brian James. What is the 391 00:16:48,280 --> 00:16:50,880 Speaker 1: required minimum distribution? When is the deadline and what you 392 00:16:50,920 --> 00:16:52,800 Speaker 1: need to know about that. That's coming up next. More 393 00:16:52,840 --> 00:16:55,480 Speaker 1: with Brian James and Money Monday. After these brief words 394 00:16:55,680 --> 00:16:56,760 Speaker 1: fifty five KRC. 395 00:16:57,600 --> 00:16:59,000 Speaker 3: This is a station. 396 00:17:00,320 --> 00:17:02,600 Speaker 1: A twenty nine to fifty five fir CED talks station, 397 00:17:02,840 --> 00:17:05,040 Speaker 1: Happy Monday, Money Money with Brian James. We're gonna talk 398 00:17:05,040 --> 00:17:06,680 Speaker 1: about required minimum distributions. 399 00:17:07,320 --> 00:17:07,639 Speaker 3: Question. 400 00:17:07,960 --> 00:17:10,199 Speaker 1: This is for folks with retirement accounts like four to 401 00:17:10,200 --> 00:17:13,800 Speaker 1: one k's, and as I understand it, at seventy three 402 00:17:13,880 --> 00:17:17,359 Speaker 1: you have to start taking this required minimum distribution. In 403 00:17:17,359 --> 00:17:20,160 Speaker 1: other words, you might not need the money for your 404 00:17:20,240 --> 00:17:22,159 Speaker 1: day to day living expenses or whatever. You might be 405 00:17:22,160 --> 00:17:24,600 Speaker 1: well off independent of your retirement account, but you have 406 00:17:24,680 --> 00:17:28,639 Speaker 1: to start taking a distribution. What is the reason or 407 00:17:28,680 --> 00:17:31,800 Speaker 1: policy behind the mandate that at age seventy three you 408 00:17:31,840 --> 00:17:33,359 Speaker 1: have to start doing this before we get into the 409 00:17:33,440 --> 00:17:35,000 Speaker 1: dates and all that, Brian James. 410 00:17:34,760 --> 00:17:37,040 Speaker 2: Jure, Well, yeah, this refers to not only four to 411 00:17:37,040 --> 00:17:40,159 Speaker 2: one k's as you mentioned, but also iras four h 412 00:17:40,240 --> 00:17:42,720 Speaker 2: three b's really any kind of tax sheltered account that 413 00:17:42,760 --> 00:17:45,520 Speaker 2: would have originated from your employment by some other company 414 00:17:45,520 --> 00:17:48,479 Speaker 2: out there. And the thought is the reason for this 415 00:17:48,600 --> 00:17:51,200 Speaker 2: is the IRS is basically saying, Okay, the gravy train 416 00:17:51,240 --> 00:17:53,280 Speaker 2: has come to a halt. You've never paid taxes on 417 00:17:53,359 --> 00:17:56,720 Speaker 2: these pre tax dollars. This only affects pre tax accounts. 418 00:17:56,720 --> 00:17:59,160 Speaker 2: We're not talking about roth, we're not talking about after tax. 419 00:17:59,800 --> 00:18:02,479 Speaker 2: So what they're basically saying is that you've contributed this 420 00:18:02,520 --> 00:18:05,320 Speaker 2: to maybe thirty forty years, you deducted it on the 421 00:18:05,320 --> 00:18:08,159 Speaker 2: way in it has grown completely tax free to something 422 00:18:08,400 --> 00:18:11,760 Speaker 2: when you turn age seventy three, it's also or seventy five, 423 00:18:11,760 --> 00:18:13,280 Speaker 2: depending on how old you are right now. If you 424 00:18:13,320 --> 00:18:15,560 Speaker 2: haven't reached that age as of yet as of by 425 00:18:15,640 --> 00:18:17,280 Speaker 2: twenty thirty, then it'll be seventy five. 426 00:18:17,280 --> 00:18:18,840 Speaker 3: But for most people now seventy. 427 00:18:18,520 --> 00:18:21,359 Speaker 2: Three, then the IRS says you do have to start 428 00:18:21,400 --> 00:18:25,240 Speaker 2: taking taxable distributions. Doesn't matter what you do with the money. 429 00:18:25,760 --> 00:18:27,520 Speaker 2: What it really means is that you just have to 430 00:18:27,560 --> 00:18:29,919 Speaker 2: start paying taxes on little bits of it. There's a 431 00:18:29,920 --> 00:18:32,720 Speaker 2: calculation you have to go through, and there's a table 432 00:18:32,760 --> 00:18:35,879 Speaker 2: in the IRS records that you'll use to do the calculation, 433 00:18:36,000 --> 00:18:38,119 Speaker 2: or just have your IRA custodian or four to one 434 00:18:38,200 --> 00:18:41,320 Speaker 2: K custodian do it for you. But essentially a good 435 00:18:41,320 --> 00:18:44,480 Speaker 2: ballpark is about four to five percent of the of 436 00:18:44,520 --> 00:18:46,320 Speaker 2: the accounts. So maybe if you've got one hundred thousand 437 00:18:46,320 --> 00:18:47,960 Speaker 2: and one of these accounts, you might have to take 438 00:18:47,960 --> 00:18:50,720 Speaker 2: out something like four to five thousand. That's not the taxes, 439 00:18:51,080 --> 00:18:54,240 Speaker 2: that is the distribution. That is what will be taxed. 440 00:18:54,240 --> 00:18:55,919 Speaker 2: So if you're in a twenty percent bracket, you might 441 00:18:55,920 --> 00:18:58,480 Speaker 2: owe eight hundred thousand bucks on that. So but the 442 00:18:58,520 --> 00:19:01,239 Speaker 2: whole point to answer your question, is basically that this 443 00:19:01,280 --> 00:19:05,160 Speaker 2: can't be a permanently tax sheltered pile of money. Does 444 00:19:05,240 --> 00:19:06,960 Speaker 2: have to get taxed at some point, and that's where 445 00:19:07,000 --> 00:19:08,880 Speaker 2: that's where they decided to start it decades ago. 446 00:19:09,240 --> 00:19:13,440 Speaker 1: Okay, well, there is a thing called an inherited IRA, 447 00:19:13,640 --> 00:19:17,080 Speaker 1: for example, and is that a taxable event when it's 448 00:19:17,080 --> 00:19:19,359 Speaker 1: passed along to airs or is this are they subject 449 00:19:19,400 --> 00:19:21,040 Speaker 1: to a separate requirementium distribution. 450 00:19:21,320 --> 00:19:23,880 Speaker 2: Yeah, as with anything, there are lots of moving parts 451 00:19:23,880 --> 00:19:26,640 Speaker 2: of this. So what you're referring to is somebody that 452 00:19:26,400 --> 00:19:29,840 Speaker 2: that you know, some benefactor of mine, passed away. They 453 00:19:29,880 --> 00:19:32,720 Speaker 2: themselves had one of these four oh one k ira 454 00:19:33,240 --> 00:19:37,200 Speaker 2: tax deferred accounts. And so generally speaking, here's what's commonly 455 00:19:37,240 --> 00:19:40,240 Speaker 2: known nowadays, as of the Secure Act of twenty twenty. 456 00:19:40,400 --> 00:19:45,600 Speaker 2: If I inherit an IRA from someone who passed after 457 00:19:45,680 --> 00:19:48,360 Speaker 2: twenty twenty, then I have ten years to drain that account. 458 00:19:48,520 --> 00:19:50,600 Speaker 2: I can drain it all day one, nothing stops me. 459 00:19:50,800 --> 00:19:53,160 Speaker 2: I can drain it all on day three, six hundred 460 00:19:53,160 --> 00:19:54,959 Speaker 2: and fifty at the end of the ten years. But 461 00:19:55,000 --> 00:19:57,080 Speaker 2: the point of that is that I now will have 462 00:19:57,119 --> 00:19:59,320 Speaker 2: to pay income taxes on every nickel of it, all 463 00:19:59,320 --> 00:20:01,240 Speaker 2: at once. Usually the best way to do that is 464 00:20:01,280 --> 00:20:03,679 Speaker 2: to find a way combine it with your other sources 465 00:20:03,680 --> 00:20:05,560 Speaker 2: of income to figure out what brackets you're going to hit, 466 00:20:05,720 --> 00:20:07,679 Speaker 2: and then figure out the right years to take it, 467 00:20:07,720 --> 00:20:11,240 Speaker 2: because most people within a decade will have some high 468 00:20:11,240 --> 00:20:13,680 Speaker 2: tax years and some low tax years. Now there's moving 469 00:20:13,760 --> 00:20:16,000 Speaker 2: parts to that too, though, Brian. If the person who 470 00:20:16,000 --> 00:20:17,880 Speaker 2: passed away, this is a new rule as of this year, 471 00:20:18,080 --> 00:20:21,760 Speaker 2: if the person who passed away was themselves of required 472 00:20:21,760 --> 00:20:24,359 Speaker 2: minimum distribution age, which which could have been any that 473 00:20:24,480 --> 00:20:27,040 Speaker 2: might have been seventy and a half several years ago, 474 00:20:27,520 --> 00:20:29,960 Speaker 2: then you will even though there's still the ten year rule, 475 00:20:30,000 --> 00:20:32,200 Speaker 2: you do still have to take a minimal amount out. 476 00:20:32,640 --> 00:20:34,480 Speaker 2: So make sure if you're in that situation that you're 477 00:20:34,560 --> 00:20:35,480 Speaker 2: that you're on top of that. 478 00:20:36,160 --> 00:20:40,000 Speaker 1: Okay, Now, the downside risk if you fail to do 479 00:20:40,119 --> 00:20:44,879 Speaker 1: the require minimum distribution by the all important deadline. What 480 00:20:45,000 --> 00:20:46,760 Speaker 1: kind of penalty you are going to the face with the 481 00:20:46,800 --> 00:20:47,760 Speaker 1: on this one. 482 00:20:47,600 --> 00:20:50,080 Speaker 3: A fat one, although not as fat as in the past. 483 00:20:50,119 --> 00:20:52,359 Speaker 2: If you fail to take this full RMD by December 484 00:20:52,440 --> 00:20:55,439 Speaker 2: thirty first, the penalty is generally twenty five percent of 485 00:20:55,440 --> 00:20:58,600 Speaker 2: the amount that wasn't withdrawn. That's a huge chunk used 486 00:20:58,640 --> 00:21:01,080 Speaker 2: to be fifty percent and there was no forgiveness for it, 487 00:21:01,560 --> 00:21:03,879 Speaker 2: but now if you correct it within two years with 488 00:21:03,960 --> 00:21:06,920 Speaker 2: an IRS form, the penalty can be reduced to ten percent. 489 00:21:07,040 --> 00:21:10,159 Speaker 2: Penalties are penalties, though, let's just avoid them. Just make 490 00:21:10,200 --> 00:21:13,480 Speaker 2: sure you know understand what your obligations are and try 491 00:21:13,480 --> 00:21:15,720 Speaker 2: to get it done by December thirty. First, you do 492 00:21:15,840 --> 00:21:17,719 Speaker 2: have a get out of jail free card in your 493 00:21:17,840 --> 00:21:22,080 Speaker 2: very first year. You have until tax time the following year. 494 00:21:22,320 --> 00:21:24,240 Speaker 2: Because a lot of people don't find out, they don't 495 00:21:24,280 --> 00:21:27,040 Speaker 2: understand until they've done their taxes that they should have 496 00:21:27,119 --> 00:21:28,399 Speaker 2: taken a distribution. 497 00:21:28,920 --> 00:21:30,240 Speaker 3: But that's only for the first year, and I. 498 00:21:30,240 --> 00:21:32,919 Speaker 2: Would not recommend taking advantage of that because that is 499 00:21:32,960 --> 00:21:35,840 Speaker 2: still going to cause you to have to take two distributions, 500 00:21:35,880 --> 00:21:37,920 Speaker 2: the one to make up for missing the first year, 501 00:21:38,440 --> 00:21:40,680 Speaker 2: which in that case is penalty free, but you also 502 00:21:40,720 --> 00:21:42,239 Speaker 2: have to take the one for the second year, so 503 00:21:42,280 --> 00:21:43,840 Speaker 2: that could push you into a higher bracket. 504 00:21:44,200 --> 00:21:47,160 Speaker 1: Fair enough, I guess for the folks that don't need 505 00:21:47,160 --> 00:21:50,040 Speaker 1: to tap into the retirement accounts, I guess they're in 506 00:21:50,160 --> 00:21:52,880 Speaker 1: decent enough financial situation. I guess you know, it might 507 00:21:52,920 --> 00:21:55,080 Speaker 1: be a good idea to pass it along to your children. 508 00:21:55,160 --> 00:21:57,399 Speaker 1: I mean, let that money work for them while they're alive, 509 00:21:57,480 --> 00:21:59,080 Speaker 1: and while you're still alive, and you can see the 510 00:21:59,080 --> 00:22:01,840 Speaker 1: fruits of the your labor in your to their benefit. 511 00:22:01,960 --> 00:22:03,760 Speaker 2: Oh for sure, there's lots of things that you can 512 00:22:03,800 --> 00:22:06,200 Speaker 2: be thinking about there. The irs, like I said, doesn't 513 00:22:06,200 --> 00:22:07,960 Speaker 2: care what you do with these dollars. A lot of 514 00:22:08,000 --> 00:22:09,879 Speaker 2: people Brian will simply say, Okay, well I got to 515 00:22:09,880 --> 00:22:12,360 Speaker 2: pull that money out. It simply can't be sheltered anymore, 516 00:22:12,400 --> 00:22:15,320 Speaker 2: that small proportion of it, and so therefore I'm going 517 00:22:15,400 --> 00:22:16,919 Speaker 2: to take it out and I'm gonna immediately stick it 518 00:22:16,920 --> 00:22:18,280 Speaker 2: over in my account. 519 00:22:18,560 --> 00:22:20,040 Speaker 3: Well, no, you can't do that. You can't put it 520 00:22:20,040 --> 00:22:23,000 Speaker 3: into a raw Oh well, okay, let this gets a 521 00:22:23,040 --> 00:22:23,760 Speaker 3: little complicated. 522 00:22:23,800 --> 00:22:26,840 Speaker 2: You can do roth conversions, but they have to happen 523 00:22:27,040 --> 00:22:30,120 Speaker 2: after your rm D comes out. Therefore, if my RMD 524 00:22:30,240 --> 00:22:33,199 Speaker 2: comes out, and my RMD my required minimum is five thousand, 525 00:22:33,440 --> 00:22:35,480 Speaker 2: and I want to convert ten thousand, well then I 526 00:22:35,480 --> 00:22:38,639 Speaker 2: take five out. It cannot go anywhere else, pay taxes 527 00:22:38,680 --> 00:22:40,400 Speaker 2: on that, and then after that has happened, I can 528 00:22:40,440 --> 00:22:43,480 Speaker 2: convert my ten thousand, hundred thousand or whatever. But remember 529 00:22:43,520 --> 00:22:46,320 Speaker 2: your RMD is already going to push up your income bracket, 530 00:22:46,480 --> 00:22:49,080 Speaker 2: so therefore conversions are going to make that even worse. 531 00:22:49,240 --> 00:22:51,360 Speaker 2: If you're wanting to do roth conversions, the best time 532 00:22:51,400 --> 00:22:53,720 Speaker 2: to do it is before you have these require minimum 533 00:22:53,720 --> 00:22:54,639 Speaker 2: distributions kicking in. 534 00:22:54,880 --> 00:22:59,400 Speaker 1: Do you as a financial planner? Is it person contingent 535 00:22:59,400 --> 00:23:01,280 Speaker 1: about whether or not you do a conversion? Because if 536 00:23:01,400 --> 00:23:03,760 Speaker 1: I converted my four oh one K, I'd have to 537 00:23:03,760 --> 00:23:06,520 Speaker 1: pay at my tax bracket the taxes that are due. 538 00:23:06,560 --> 00:23:09,000 Speaker 1: I understand that, but is it a good thing to 539 00:23:09,080 --> 00:23:11,520 Speaker 1: do that for somebody and the terrible thing for somebody 540 00:23:11,520 --> 00:23:13,120 Speaker 1: else to do I mean, it is. 541 00:23:13,240 --> 00:23:16,440 Speaker 2: Very much not a black and white everybody should figure this. Yeah, 542 00:23:17,080 --> 00:23:19,320 Speaker 2: you are very much making a sacrifice right now. I 543 00:23:19,400 --> 00:23:20,640 Speaker 2: have a lot of people that'll come in and say, 544 00:23:20,640 --> 00:23:21,919 Speaker 2: here's my four to one K. I got a half 545 00:23:21,920 --> 00:23:23,600 Speaker 2: million dollars. I want to convert that into a rock. 546 00:23:23,840 --> 00:23:25,840 Speaker 2: As if I sign a form and it suddenly poof 547 00:23:25,920 --> 00:23:28,040 Speaker 2: tax free doesn't work that way. You need to take 548 00:23:28,040 --> 00:23:31,080 Speaker 2: in that case a half million dollars worth of taxable income, 549 00:23:31,320 --> 00:23:33,960 Speaker 2: which is going to be a fat voluntary check written 550 00:23:33,960 --> 00:23:36,040 Speaker 2: to the IRSA in exchange for the rest of your 551 00:23:36,040 --> 00:23:38,280 Speaker 2: life of tax free growth. I can show you mathematically 552 00:23:38,320 --> 00:23:40,080 Speaker 2: how that's a good idea, but I'm not the one 553 00:23:40,080 --> 00:23:41,719 Speaker 2: who has to write the fat check to the irs. 554 00:23:41,760 --> 00:23:44,240 Speaker 2: It's very much a philosophical thing. My role is to 555 00:23:44,240 --> 00:23:46,320 Speaker 2: make sure people understand the pros and cons of it. 556 00:23:46,240 --> 00:23:47,920 Speaker 2: It will be a very valuable strategy, though. 557 00:23:48,160 --> 00:23:50,639 Speaker 1: I am one that am always worried about when I 558 00:23:50,640 --> 00:23:52,840 Speaker 1: start taking out my four oh one k distributions, that 559 00:23:52,880 --> 00:23:55,560 Speaker 1: they're going to come up with some just outrageous tax 560 00:23:55,560 --> 00:23:57,680 Speaker 1: scheme because we run this country into the toilet with 561 00:23:57,720 --> 00:23:59,480 Speaker 1: our debt, and they're going to say, well, there's trillions 562 00:23:59,480 --> 00:24:02,000 Speaker 1: of dollars walcked away in four to one case, let's 563 00:24:02,000 --> 00:24:04,040 Speaker 1: tax them at a much higher rate because we got 564 00:24:04,040 --> 00:24:06,160 Speaker 1: a crisis on our hands. 565 00:24:06,080 --> 00:24:09,159 Speaker 3: Right exactly, and that that's that could happen. 566 00:24:09,760 --> 00:24:12,040 Speaker 2: I don't worry too much about double taxation in these 567 00:24:12,040 --> 00:24:14,320 Speaker 2: accounts because the people who will have made that choice 568 00:24:14,400 --> 00:24:17,160 Speaker 2: will have to run for reelection having been, you know, 569 00:24:17,400 --> 00:24:19,840 Speaker 2: having just double taxed everybody and broken a promise that 570 00:24:20,040 --> 00:24:21,680 Speaker 2: had been in place for decades by that point. 571 00:24:21,840 --> 00:24:23,880 Speaker 1: Fair enough on that. I'll try to hang my hat 572 00:24:23,920 --> 00:24:26,480 Speaker 1: and get some comfort from those comments. Brian James appreciate 573 00:24:26,480 --> 00:24:28,400 Speaker 1: what you do. Thanks to all Worth again for learning out. 574 00:24:28,440 --> 00:24:30,400 Speaker 1: We'll do this again next week. Have a wonderful week, 575 00:24:30,440 --> 00:24:33,679 Speaker 1: my friend, you too, Stay warm, you too coming up 576 00:24:33,760 --> 00:24:37,240 Speaker 1: Doctor Ridikahraman not in from the v