1 00:00:01,360 --> 00:00:03,640 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:04,000 --> 00:00:06,760 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:07,000 --> 00:00:10,840 Speaker 1: and sure they definitely can be, but understanding a professionals 4 00:00:10,920 --> 00:00:14,160 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,560 --> 00:00:18,200 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,680 --> 00:00:21,480 Speaker 1: It might seem boring to safe plan and make calculated 7 00:00:21,480 --> 00:00:24,599 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,640 --> 00:00:27,960 Speaker 1: what helps you live or more happily fulfilled life. P 9 00:00:28,080 --> 00:00:32,879 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. Brilliantly 10 00:00:32,960 --> 00:00:35,600 Speaker 1: Boring since eighteen sixty five is a service mark of 11 00:00:35,600 --> 00:00:38,840 Speaker 1: the PNC Financial Service Group, Inc. P and C Bank 12 00:00:39,280 --> 00:00:45,920 Speaker 1: National Association Member FDIC erness What's Up? You ever walk 13 00:00:45,920 --> 00:00:49,000 Speaker 1: into a small business and everything just works like the 14 00:00:49,080 --> 00:00:53,200 Speaker 1: checkout is fast, the receipts are digital, tipping is a breeze, 15 00:00:53,479 --> 00:00:55,640 Speaker 1: and you're out the door before the line even builds. 16 00:00:55,960 --> 00:01:00,240 Speaker 1: Odds are they're using Square? We love supporting business that 17 00:01:00,320 --> 00:01:02,959 Speaker 1: run on Square because it just feels seamless. Whether it's 18 00:01:03,000 --> 00:01:06,000 Speaker 1: a local coffee shop, a vendor at a pop up market, 19 00:01:06,160 --> 00:01:09,040 Speaker 1: or even one of our merch partners. Square makes it 20 00:01:09,160 --> 00:01:12,559 Speaker 1: easy for them to take payments, manage inventory, and run 21 00:01:12,600 --> 00:01:16,560 Speaker 1: their business with confidence, all from one simple system. If 22 00:01:16,640 --> 00:01:19,480 Speaker 1: you're a business owner or even just thinking about launching 23 00:01:19,520 --> 00:01:22,520 Speaker 1: something soon, Square is hands down one of the best 24 00:01:22,520 --> 00:01:25,680 Speaker 1: tools out there to help you start, run and grow. 25 00:01:25,959 --> 00:01:28,959 Speaker 1: It's not just about payments, it's about giving you time 26 00:01:29,040 --> 00:01:32,000 Speaker 1: back so you can focus on what matters most ready. 27 00:01:32,040 --> 00:01:35,399 Speaker 1: To see how Square can transform your business, visit Square 28 00:01:35,480 --> 00:01:40,160 Speaker 1: dot com backslash, go backslash eyl to learn more. That's 29 00:01:40,200 --> 00:01:45,640 Speaker 1: Square dot com backslash, go backslash eyl. Don't wait, don't hesitate. 30 00:01:45,760 --> 00:01:48,160 Speaker 1: Let's Square handle the back end so you can keep 31 00:01:48,160 --> 00:01:52,680 Speaker 1: pushing your vision forward. It is a ten year charge. 32 00:01:52,720 --> 00:01:55,320 Speaker 2: If the government is invested in something, they obviously have 33 00:01:55,440 --> 00:01:58,520 Speaker 2: an incentive for it to do well for sure, right, 34 00:01:59,280 --> 00:02:02,080 Speaker 2: and they have resources to kind of make sure that 35 00:02:02,120 --> 00:02:04,400 Speaker 2: they do well on certain levels. Correct. So should you 36 00:02:04,440 --> 00:02:07,240 Speaker 2: invest in Intel now? It's this is this is this 37 00:02:07,440 --> 00:02:12,280 Speaker 2: the by signal why Intel stock? I would not, I 38 00:02:12,320 --> 00:02:15,000 Speaker 2: don't and I won't. I would not And. 39 00:02:14,960 --> 00:02:17,320 Speaker 1: It's not because of the like I said, the risk 40 00:02:17,360 --> 00:02:19,400 Speaker 1: mitigation of having government involvement. 41 00:02:19,520 --> 00:02:21,320 Speaker 3: It's a good trade out of the long term investment. 42 00:02:21,560 --> 00:02:21,800 Speaker 2: Right. 43 00:02:23,000 --> 00:02:25,519 Speaker 1: What they do is the reason why I wouldn't invest 44 00:02:25,520 --> 00:02:27,520 Speaker 1: in it. How far they are behind in what they 45 00:02:27,560 --> 00:02:29,760 Speaker 1: do is why I would invest in it. Right, Like 46 00:02:29,840 --> 00:02:31,800 Speaker 1: we talked about it a few weeks ago in terms 47 00:02:31,800 --> 00:02:34,560 Speaker 1: of GPUs and turn the CPUs where they're at in 48 00:02:34,680 --> 00:02:38,799 Speaker 1: placement of innovation for the next three to five years. Yeah, 49 00:02:39,639 --> 00:02:42,480 Speaker 1: I don't feel like though, Yeah, twenty billion at it. 50 00:02:43,520 --> 00:02:45,720 Speaker 1: The race that you have to catch up is so 51 00:02:46,040 --> 00:02:48,680 Speaker 1: it's so grand that I wouldn't touch it right now. 52 00:02:49,080 --> 00:02:53,920 Speaker 1: What cream on scat is still scat Scott because scat 53 00:02:56,400 --> 00:02:57,280 Speaker 1: it is what it is. 54 00:02:58,400 --> 00:03:06,480 Speaker 3: But I'm but you have to give them credit for 55 00:03:06,639 --> 00:03:09,960 Speaker 3: at least trying to do something to turn these companies around. 56 00:03:10,400 --> 00:03:13,160 Speaker 3: Posts just throw money at it from like if it 57 00:03:13,200 --> 00:03:16,080 Speaker 3: was just us or if it was Shark Tank or 58 00:03:16,480 --> 00:03:18,080 Speaker 3: Blackstone or Blackrock. 59 00:03:18,600 --> 00:03:19,880 Speaker 1: No, what have issue with this? 60 00:03:20,720 --> 00:03:25,440 Speaker 3: Should it happen? Probably not, But we cannot The economy 61 00:03:25,480 --> 00:03:30,200 Speaker 3: is so fragile it cannot contain the fallout if this 62 00:03:30,320 --> 00:03:32,160 Speaker 3: company actually went under. 63 00:03:33,360 --> 00:03:36,480 Speaker 1: Yeah, and it's crazy chaut out to the chat again. 64 00:03:37,000 --> 00:03:39,080 Speaker 1: And I I forgot to mention when we say the 65 00:03:39,120 --> 00:03:44,520 Speaker 1: government money, that really is taxpayer money for sure. So yeah, 66 00:03:44,560 --> 00:03:48,920 Speaker 1: your money, your money, Yeah, save American companies and put some. 67 00:03:48,960 --> 00:03:50,800 Speaker 2: Questions in chat because we are a live so we 68 00:03:51,080 --> 00:03:55,120 Speaker 2: are answering questions. Yeah, MIT reports that ninety percent of 69 00:03:55,400 --> 00:04:02,000 Speaker 2: artificial intelligence investments are currently unprofitable. What does that tell. 70 00:04:01,920 --> 00:04:06,800 Speaker 3: Us that the AI funding bubbles coming to an end? 71 00:04:06,880 --> 00:04:10,360 Speaker 3: And I think Meta guys reported on this and I 72 00:04:10,400 --> 00:04:13,800 Speaker 3: put it in the stock club as well. I think 73 00:04:13,840 --> 00:04:16,200 Speaker 3: about it like this. Two weeks ago and three weeks ago, 74 00:04:16,480 --> 00:04:18,640 Speaker 3: you have founders that had never sold a product and 75 00:04:18,680 --> 00:04:21,520 Speaker 3: had no revenue. We're turning down multi billion dollar offers. 76 00:04:21,760 --> 00:04:23,719 Speaker 3: I don't know where they went to business school, but 77 00:04:23,839 --> 00:04:26,680 Speaker 3: rashot if they offer the billion something market, mondays, you 78 00:04:26,680 --> 00:04:31,280 Speaker 3: can sign for me the sign why me? So the 79 00:04:31,320 --> 00:04:36,039 Speaker 3: bubble in terms of the large language models are done 80 00:04:36,120 --> 00:04:38,719 Speaker 3: for now. There would be some a lot of focus 81 00:04:38,760 --> 00:04:43,040 Speaker 3: on sector specific llms and growth over the next two 82 00:04:43,080 --> 00:04:46,760 Speaker 3: or three years. But every company and as well, I 83 00:04:46,800 --> 00:04:49,520 Speaker 3: always say go to best of breed. But once you 84 00:04:49,600 --> 00:04:51,679 Speaker 3: have a category, there's only going to be a few leaders. 85 00:04:51,680 --> 00:04:56,200 Speaker 3: You're not going to have nineteens that are incredibly profitable. 86 00:04:56,240 --> 00:04:58,520 Speaker 3: Even in the defense space, it's going to be the 87 00:04:58,640 --> 00:05:01,919 Speaker 3: legacy defense company is now with the AI driven and 88 00:05:01,920 --> 00:05:04,080 Speaker 3: tech driven, you're gonna have palatin and or those are 89 00:05:04,160 --> 00:05:06,880 Speaker 3: leaders are set. So I think everyone that comes in 90 00:05:07,000 --> 00:05:10,400 Speaker 3: copying and it is not the pre eminent leader in 91 00:05:10,400 --> 00:05:12,159 Speaker 3: that sector, they're gonna get slaughtered. 92 00:05:12,480 --> 00:05:12,880 Speaker 2: Yeah. 93 00:05:13,720 --> 00:05:16,480 Speaker 1: I think that was the exact point I was gonna make. 94 00:05:16,520 --> 00:05:18,640 Speaker 1: And I'm glad you said they're gonna be a few leaders, 95 00:05:18,680 --> 00:05:21,560 Speaker 1: and there's gonna be those hyper scalers and if they 96 00:05:21,560 --> 00:05:24,560 Speaker 1: don't lead, they're gonna acquire the company that they think 97 00:05:24,839 --> 00:05:27,680 Speaker 1: could be the potential thing that changes it. I think 98 00:05:28,040 --> 00:05:30,480 Speaker 1: the reason why we see that statizens because people are 99 00:05:30,520 --> 00:05:34,279 Speaker 1: trying to make the next greatest innovation and it takes 100 00:05:34,320 --> 00:05:36,760 Speaker 1: a lot of capital to do that right. And I 101 00:05:36,800 --> 00:05:38,960 Speaker 1: agree with the people who are getting the capital a 102 00:05:39,000 --> 00:05:41,240 Speaker 1: lot of times don't look like us. But that that's 103 00:05:41,279 --> 00:05:43,920 Speaker 1: why you have to have things like invest fast and 104 00:05:44,279 --> 00:05:47,479 Speaker 1: again Papolar judge investing in AI and investing in scale. 105 00:05:47,960 --> 00:05:50,880 Speaker 1: But there are places where there is a rate of 106 00:05:50,920 --> 00:05:53,479 Speaker 1: return and we can focus on. Like I was like, right, 107 00:05:53,520 --> 00:05:55,560 Speaker 1: let me look it up. So inside of AI, what 108 00:05:55,680 --> 00:05:59,239 Speaker 1: has been working now from a business standpoint right, customer 109 00:05:59,279 --> 00:06:04,440 Speaker 1: service and service automation? Why that could be Jack told 110 00:06:04,480 --> 00:06:06,800 Speaker 1: you he created technology over the weekend. 111 00:06:07,279 --> 00:06:10,320 Speaker 3: Yeah, yeah, things are taking six months. 112 00:06:10,120 --> 00:06:13,000 Speaker 1: Yeap, eighteen months and twenty people. He did it in 113 00:06:13,000 --> 00:06:15,360 Speaker 1: a weekend by himself in his house, right, So if 114 00:06:15,400 --> 00:06:18,120 Speaker 1: you can do customer service and service number one, that 115 00:06:18,160 --> 00:06:20,240 Speaker 1: brings down the cost of business and it also makes 116 00:06:20,279 --> 00:06:22,720 Speaker 1: it more efficient. So that has been working inside of 117 00:06:22,720 --> 00:06:26,279 Speaker 1: the AI space, back office operations and admin tasks. I 118 00:06:26,320 --> 00:06:28,240 Speaker 1: mean we know that on a daily basis just from 119 00:06:28,279 --> 00:06:31,680 Speaker 1: our personal lives how that works, and healthcare and life sciences. 120 00:06:31,720 --> 00:06:33,800 Speaker 1: So this is a good when AI twos and medical imaging, 121 00:06:34,120 --> 00:06:38,200 Speaker 1: drug discovery, and clinical trial optimizations, those have been winning. 122 00:06:38,200 --> 00:06:41,520 Speaker 1: If you look at the statistics of what inside of 123 00:06:41,600 --> 00:06:44,280 Speaker 1: AI has been winning at a small scale, that has 124 00:06:44,320 --> 00:06:48,120 Speaker 1: been winning. The large scale things that the chat GBT 125 00:06:48,240 --> 00:06:50,560 Speaker 1: of the world, that's going to take a lot of time, 126 00:06:50,600 --> 00:06:52,760 Speaker 1: a lot of capital. Even when we saw with deep 127 00:06:52,800 --> 00:06:56,760 Speaker 1: Sea like yeah, yeah they said it was when you 128 00:06:56,760 --> 00:06:59,159 Speaker 1: did the numbers, it actually came out to being almost 129 00:06:59,279 --> 00:07:02,960 Speaker 1: seven billion. These are astronomical numbers. If you if you 130 00:07:03,000 --> 00:07:05,120 Speaker 1: can focus in these key points and then build on 131 00:07:05,160 --> 00:07:07,520 Speaker 1: top of those, yeah, you could be super successful. But 132 00:07:07,600 --> 00:07:09,560 Speaker 1: right now, everybody's trying to find the next thing. They're 133 00:07:09,560 --> 00:07:12,480 Speaker 1: trying to find the vo three. They're trying to find, 134 00:07:12,600 --> 00:07:13,880 Speaker 1: you know, but. 135 00:07:14,040 --> 00:07:17,120 Speaker 3: Sometimes the leader is just like put it in Chat. 136 00:07:17,400 --> 00:07:21,720 Speaker 3: I will invest in the hold Chat GPT and open 137 00:07:21,720 --> 00:07:28,120 Speaker 3: A has seven hundred and fifty million weekly users. No, 138 00:07:28,240 --> 00:07:30,960 Speaker 3: I don't remember a tech company like we're talking about. 139 00:07:31,160 --> 00:07:36,240 Speaker 3: They're getting into like Microsoft ninety five operating System ninety 140 00:07:36,280 --> 00:07:40,120 Speaker 3: eight territory in terms of market share that they've captured. 141 00:07:40,720 --> 00:07:45,480 Speaker 3: Why would you bet against that? It's insane. Even in video, 142 00:07:45,480 --> 00:07:47,760 Speaker 3: my love for and video for anyone who built computers, 143 00:07:47,840 --> 00:07:50,640 Speaker 3: like they had eighty percent of market share in twenty 144 00:07:50,680 --> 00:07:54,560 Speaker 3: seventeen twenty nineteen, they've only gotten bigger. You can kind 145 00:07:54,560 --> 00:07:58,080 Speaker 3: of see the change. Going back to the eye test, 146 00:07:58,200 --> 00:08:00,560 Speaker 3: you don't see the love for Apple as much as 147 00:08:00,640 --> 00:08:03,200 Speaker 3: you used to maybe ten years prior. These are things 148 00:08:03,240 --> 00:08:06,320 Speaker 3: you can see and feel. That's real sentiment. Stop betting 149 00:08:06,360 --> 00:08:07,040 Speaker 3: against the winner. 150 00:08:07,560 --> 00:08:07,760 Speaker 4: Yeah. 151 00:08:08,480 --> 00:08:09,800 Speaker 1: The other part was do we know the real from 152 00:08:09,800 --> 00:08:11,080 Speaker 1: the figure? I think we know who the reel are 153 00:08:11,680 --> 00:08:14,320 Speaker 1: for sure. It's not very clear. There will be companies 154 00:08:14,320 --> 00:08:16,960 Speaker 1: that will come in as the technology gets better and 155 00:08:17,080 --> 00:08:19,640 Speaker 1: be disruptive. Right if we could find out That's why 156 00:08:19,640 --> 00:08:22,640 Speaker 1: I think what's important inside of business, like what's the 157 00:08:22,680 --> 00:08:26,120 Speaker 1: problem that we can solve. Right, there will be companies 158 00:08:26,240 --> 00:08:30,360 Speaker 1: that will problems that we're not thinking of now because 159 00:08:30,400 --> 00:08:32,800 Speaker 1: the technology is so great and it's so efficient and 160 00:08:32,840 --> 00:08:36,360 Speaker 1: it's so expedited, that will come and do it. 161 00:08:37,120 --> 00:08:41,560 Speaker 2: So okay. Somebody had a question. They said in the past, 162 00:08:42,200 --> 00:08:46,280 Speaker 2: y'all said, September is a month that historically prices drop. 163 00:08:47,000 --> 00:08:50,520 Speaker 2: Should we wait for a September drop before purchasing? 164 00:08:51,880 --> 00:08:56,160 Speaker 3: The market drops every month, Yes, by the prices on 165 00:08:56,200 --> 00:08:58,560 Speaker 3: the price that I get, respectfully, humbly. But if I 166 00:08:58,600 --> 00:09:00,920 Speaker 3: made you money, please put yes in chat. Yes, by 167 00:09:00,920 --> 00:09:04,079 Speaker 3: every month technically if you want, if you want to 168 00:09:04,080 --> 00:09:06,600 Speaker 3: be a technician, go to the month chart we charge. 169 00:09:06,600 --> 00:09:08,160 Speaker 3: They charged talked about it. Yes, so they didn't go 170 00:09:08,160 --> 00:09:10,480 Speaker 3: to a lower timeframe. There's a drop in the market 171 00:09:10,520 --> 00:09:14,400 Speaker 3: every day, but September, yes, that will be a pullback, 172 00:09:14,520 --> 00:09:17,319 Speaker 3: just like there was a drop in August historically, which 173 00:09:17,360 --> 00:09:22,320 Speaker 3: happened last Wednesday. The thing is when the drop happens, 174 00:09:22,160 --> 00:09:24,800 Speaker 3: it's like if I drop fifty grand on stage and 175 00:09:24,800 --> 00:09:26,440 Speaker 3: it went off and the crowd will go get it. 176 00:09:26,640 --> 00:09:28,559 Speaker 3: These drops happen on a Wednesday, then y'all don't go 177 00:09:28,640 --> 00:09:31,600 Speaker 3: pick up them. Not y'all but the general republic. When 178 00:09:31,640 --> 00:09:33,920 Speaker 3: the market drops, please go get the money out of 179 00:09:34,000 --> 00:09:37,800 Speaker 3: the market place. But September, on our first episode, I 180 00:09:37,840 --> 00:09:40,800 Speaker 3: would be so happy to give you prices for whatever 181 00:09:40,840 --> 00:09:43,360 Speaker 3: stocks you guys want to tune into market. Monday is 182 00:09:43,360 --> 00:09:45,600 Speaker 3: the first Monday is September, and it'll be a free 183 00:09:45,640 --> 00:09:47,280 Speaker 3: for all own pricing. Yeah. 184 00:09:47,320 --> 00:09:50,560 Speaker 1: Historically that has been the case, but this is a 185 00:09:50,640 --> 00:09:54,079 Speaker 1: very unconventional year, So just be prepared for all of it, right. 186 00:09:54,080 --> 00:09:57,000 Speaker 1: We always talk about having reserves and being ready and 187 00:09:57,080 --> 00:10:01,120 Speaker 1: dollar cost averaging into positions, because hey, if Nvidia pulled 188 00:10:01,160 --> 00:10:03,800 Speaker 1: down to one seventy three, that could potentially be that 189 00:10:03,840 --> 00:10:05,559 Speaker 1: the lows is going to be for the next two month. 190 00:10:05,600 --> 00:10:07,319 Speaker 1: We don't know, right, but we want to make sure 191 00:10:07,320 --> 00:10:08,520 Speaker 1: that we invested from our company. 192 00:10:08,559 --> 00:10:12,160 Speaker 4: An illegal alien from Guatemala charged with raping a child 193 00:10:12,200 --> 00:10:15,960 Speaker 4: in Massachusetts. An MS thirteen gang member from Al Salvador 194 00:10:16,240 --> 00:10:20,360 Speaker 4: accused of murdering a Texas man of Venezuelan charged with 195 00:10:20,440 --> 00:10:24,320 Speaker 4: filming and selling child pornography in Michigan. These are just 196 00:10:24,440 --> 00:10:28,200 Speaker 4: some of the heinous migrant criminals caught because of President 197 00:10:28,200 --> 00:10:31,760 Speaker 4: Donald J. Trump's leadership. I'm Christy Noman. The United States 198 00:10:31,800 --> 00:10:36,600 Speaker 4: Secretary of Homeland Security. Under President Trump, attempted illegal border 199 00:10:36,640 --> 00:10:40,200 Speaker 4: crossings are at the lowest levels ever recorded, and over 200 00:10:40,240 --> 00:10:43,480 Speaker 4: one hundred thousand illegal aliens have been arrested. If you 201 00:10:43,559 --> 00:10:47,400 Speaker 4: are here illegally, your next you will be fine nearly 202 00:10:47,480 --> 00:10:51,520 Speaker 4: one thousand dollars a day, imprisoned, and deported. You will 203 00:10:51,520 --> 00:10:55,200 Speaker 4: never return. But if you register using our CBP home 204 00:10:55,240 --> 00:10:58,600 Speaker 4: app and leave now, you could be allowed to return legally. 205 00:10:58,960 --> 00:11:03,680 Speaker 4: Do what's right. Leave now. Under President Trump, America's laws, 206 00:11:03,880 --> 00:11:06,320 Speaker 4: border and families will be protected. 207 00:11:06,400 --> 00:11:08,559 Speaker 3: Sponsored by the United States Department of Homeland Security,