[00:00:00.04 --> 00:00:03.68] the new year is starting so you're [00:00:01.72 --> 00:00:06.44] probably seeing a lot of videos on the [00:00:03.68 --> 00:00:08.00] top stocks for 2024 but they're mostly [00:00:06.44 --> 00:00:10.20] filled with random companies or [00:00:08.00 --> 00:00:12.08] cherry-picked Price charts this video is [00:00:10.20 --> 00:00:14.36] a little different every stock on my [00:00:12.08 --> 00:00:16.40] list works together so that I'm holding [00:00:14.36 --> 00:00:18.76] all the winners in a few huge markets [00:00:16.40 --> 00:00:21.00] that are growing fast thanks to AI which [00:00:18.76 --> 00:00:23.48] is the best way to get rich without [00:00:21.00 --> 00:00:25.28] getting lucky your time is valuable so [00:00:23.48 --> 00:00:27.32] let's get right into it first things [00:00:25.28 --> 00:00:28.68] first I'm not here to keep you hostage [00:00:27.32 --> 00:00:30.40] here's the full list of stocks that I'll [00:00:28.68 --> 00:00:32.32] be covering and there are times stamp so [00:00:30.40 --> 00:00:33.80] that you can jump to different sections [00:00:32.32 --> 00:00:36.08] but let me quickly point out a few [00:00:33.80 --> 00:00:38.24] things before you do I'm not a financial [00:00:36.08 --> 00:00:40.44] adviser my background is an electrical [00:00:38.24 --> 00:00:42.40] engineering and data science and I have [00:00:40.44 --> 00:00:45.12] about 10 years of Industry experience [00:00:42.40 --> 00:00:46.88] using AI to solve real world problems [00:00:45.12 --> 00:00:49.04] that's why every stock on this list [00:00:46.88 --> 00:00:51.44] involves Ai and I'm sharing my research [00:00:49.04 --> 00:00:53.44] for educational purposes only this isn't [00:00:51.44 --> 00:00:55.40] supposed to be the ultimate stock list [00:00:53.44 --> 00:00:58.28] it's more of a solid foundation for my [00:00:55.40 --> 00:01:00.08] portfolio in 2024 and Beyond if I want [00:00:58.28 --> 00:01:02.44] to buy more great companies like met [00:01:00.08 --> 00:01:04.16] platforms or Tesla stock down the road I [00:01:02.44 --> 00:01:06.52] will and I'll explain why I didn't put [00:01:04.16 --> 00:01:08.36] them on the list in a minute also I only [00:01:06.52 --> 00:01:10.84] buy stocks when they drop below my price [00:01:08.36 --> 00:01:13.24] targets research tells me what to buy [00:01:10.84 --> 00:01:14.88] but price targets tell me when so if you [00:01:13.24 --> 00:01:16.96] want to see those I'll leave a survey [00:01:14.88 --> 00:01:18.72] Link in the description below for you it [00:01:16.96 --> 00:01:20.64] only takes about 20 seconds and your [00:01:18.72 --> 00:01:23.08] responses help me understand how to add [00:01:20.64 --> 00:01:25.00] the most value and finally there's a lot [00:01:23.08 --> 00:01:26.92] of ground to cover so I'll keep [00:01:25.00 --> 00:01:28.92] everything at a pretty high level my [00:01:26.92 --> 00:01:30.76] entire Channel focuses on the science [00:01:28.92 --> 00:01:32.56] behind the stocks so if there's a [00:01:30.76 --> 00:01:34.36] specific company that interests you you [00:01:32.56 --> 00:01:36.40] can probably find a video where I cover [00:01:34.36 --> 00:01:39.00] it in more detail with all that out of [00:01:36.40 --> 00:01:41.00] the way let's dive into the list in my [00:01:39.00 --> 00:01:43.88] opinion the foundation of every good [00:01:41.00 --> 00:01:45.56] long-term portfolio starts with a fund [00:01:43.88 --> 00:01:48.36] the advice that I always hear is to put [00:01:45.56 --> 00:01:51.28] a little money in the market every month [00:01:48.36 --> 00:01:53.92] which usually means the S&P 500 the S&P [00:01:51.28 --> 00:01:56.00] 500 Index is a basket of stocks from the [00:01:53.92 --> 00:01:58.28] 500 biggest public companies in the [00:01:56.00 --> 00:02:00.12] United States and the bigger the company [00:01:58.28 --> 00:02:03.36] the more of the basket that stock takes [00:02:00.12 --> 00:02:05.56] up but 500 companies is a lot so the S&P [00:02:03.36 --> 00:02:07.52] grows slow and steady even when the [00:02:05.56 --> 00:02:09.40] biggest companies are ripping for [00:02:07.52 --> 00:02:12.80] example the top five companies in the [00:02:09.40 --> 00:02:14.84] index are Apple Microsoft Amazon Nvidia [00:02:12.80 --> 00:02:17.48] and Google all five of these companies [00:02:14.84 --> 00:02:20.20] went up by more than 50% this past year [00:02:17.48 --> 00:02:23.68] and Nvidia actually went up by almost [00:02:20.20 --> 00:02:26.84] 250% but the S&P went up by just [00:02:23.68 --> 00:02:30.56] 25% on the other hand the NASDAQ 100 [00:02:26.84 --> 00:02:32.88] index went up by 55% the NASDAQ has [00:02:30.56 --> 00:02:35.32] three big advantages over the S&P in my [00:02:32.88 --> 00:02:38.12] opinion first it tracks 100 companies [00:02:35.32 --> 00:02:40.16] instead of 500 100 is still a lot of [00:02:38.12 --> 00:02:42.72] diversification but not so much that the [00:02:40.16 --> 00:02:43.96] index can't make big moves second it [00:02:42.72 --> 00:02:45.88] doesn't hold companies from the [00:02:43.96 --> 00:02:48.16] financial sector like commercial or [00:02:45.88 --> 00:02:50.00] investment Banks as a result it holds [00:02:48.16 --> 00:02:52.64] more Tech focused companies that can [00:02:50.00 --> 00:02:55.24] benefit from this massive AI boom and [00:02:52.64 --> 00:02:57.72] third the NASDAQ 100 can hold non- us [00:02:55.24 --> 00:02:59.28] companies like asml a company that's [00:02:57.72 --> 00:03:01.04] based in the Netherlands that makes the [00:02:59.28 --> 00:03:04.00] massive machines that chip makers like [00:03:01.04 --> 00:03:06.16] Intel Samsung and tsmc buy to make the [00:03:04.00 --> 00:03:07.44] most advanced chips on the planet those [00:03:06.16 --> 00:03:09.88] are just some of the reasons that the [00:03:07.44 --> 00:03:13.00] NASDAQ 100 almost doubled the gains of [00:03:09.88 --> 00:03:14.64] the S&P 500 over the last 5 years and [00:03:13.00 --> 00:03:17.12] why that performance Gap could get even [00:03:14.64 --> 00:03:19.56] bigger as AI keeps stacking advantages [00:03:17.12 --> 00:03:21.88] for its early adopters the trade-off for [00:03:19.56 --> 00:03:23.72] this performance is more volatility but [00:03:21.88 --> 00:03:25.96] even that's a good thing for long-term [00:03:23.72 --> 00:03:28.24] investors since higher highs mean better [00:03:25.96 --> 00:03:29.72] returns and lower lows mean bigger [00:03:28.24 --> 00:03:31.96] discounts on the best run compan [00:03:29.72 --> 00:03:35.32] companes on the planet companies like [00:03:31.96 --> 00:03:38.60] apple Microsoft Amazon broadcom meta [00:03:35.32 --> 00:03:40.84] platforms Tesla Nvidia and Google which [00:03:38.60 --> 00:03:43.56] together account for over 40% of the [00:03:40.84 --> 00:03:45.96] NASDAQ 100 by weight that's why I didn't [00:03:43.56 --> 00:03:47.96] include meta platforms or Tesla on my [00:03:45.96 --> 00:03:50.28] list they're already near the top of [00:03:47.96 --> 00:03:52.88] this fund instead I'm adding even more [00:03:50.28 --> 00:03:55.92] Microsoft Google and Amazon because they [00:03:52.88 --> 00:03:58.28] own a whopping 65% of the global cloud [00:03:55.92 --> 00:04:00.36] services Market combined this is what I [00:03:58.28 --> 00:04:03.56] mean about owning all the winners in a [00:04:00.36 --> 00:04:05.48] given Market no matter who wins I win no [00:04:03.56 --> 00:04:07.00] luck needed and all three of these [00:04:05.48 --> 00:04:09.12] companies are investing billions of [00:04:07.00 --> 00:04:11.28] dollars to build the infrastructure for [00:04:09.12 --> 00:04:12.92] the world's Advanced AI workloads as [00:04:11.28 --> 00:04:14.16] well but there's another kind of [00:04:12.92 --> 00:04:16.00] infrastructure investment that you [00:04:14.16 --> 00:04:18.20] should know about you can invest in [00:04:16.00 --> 00:04:20.52] solar projects to help small businesses [00:04:18.20 --> 00:04:22.64] and entire communities across the US [00:04:20.52 --> 00:04:25.48] reduce their Reliance on the grid and [00:04:22.64 --> 00:04:27.88] potentially earn up to 10% per year with [00:04:25.48 --> 00:04:29.64] climatized the sponsor of this video [00:04:27.88 --> 00:04:31.64] here's how it works every month [00:04:29.64 --> 00:04:33.76] climatize uses their extensive network [00:04:31.64 --> 00:04:35.60] of solar installers and developers to [00:04:33.76 --> 00:04:37.60] find solar projects looking to raise [00:04:35.60 --> 00:04:39.32] Capital then they diligence those [00:04:37.60 --> 00:04:41.40] projects and the very best ones are [00:04:39.32 --> 00:04:43.84] onboarded onto their platform and open [00:04:41.40 --> 00:04:45.96] to investment for example lightup Rural [00:04:43.84 --> 00:04:48.28] America is focused on giving communities [00:04:45.96 --> 00:04:49.88] in North Carolina and Tennessee access [00:04:48.28 --> 00:04:51.68] to more reliable power they're [00:04:49.88 --> 00:04:53.68] leveraging the inflation reduction act [00:04:51.68 --> 00:04:56.32] on multiple solar and energy storage [00:04:53.68 --> 00:04:58.96] installs and they're looking to raise [00:04:56.32 --> 00:05:01.32] $310,000 this offering has a 2-year term [00:04:58.96 --> 00:05:03.12] with a 10 % expected annual rate of [00:05:01.32 --> 00:05:04.68] return and investors have already [00:05:03.12 --> 00:05:07.08] committed more than half the goal for [00:05:04.68 --> 00:05:09.72] this project and best of all the minimum [00:05:07.08 --> 00:05:12.20] investment on climatized is just $10 and [00:05:09.72 --> 00:05:13.96] there are no investor fees so if you [00:05:12.20 --> 00:05:16.80] want to invest in solar projects across [00:05:13.96 --> 00:05:20.60] the US and earn up to 10% annually head [00:05:16.80 --> 00:05:22.48] over to climatize doar slts yoou or [00:05:20.60 --> 00:05:25.72] click my link in the description below [00:05:22.48 --> 00:05:28.72] and use my code TS y you1 to invest your [00:05:25.72 --> 00:05:31.08] first $5 on them what a cool opportunity [00:05:28.72 --> 00:05:33.24] so Microsoft Google and Amazon own a [00:05:31.08 --> 00:05:35.00] combined 2third of the global market for [00:05:33.24 --> 00:05:36.92] cloud services and millions of [00:05:35.00 --> 00:05:38.20] businesses pay them each year to do [00:05:36.92 --> 00:05:40.40] things like store and secure their [00:05:38.20 --> 00:05:42.20] company's data host mobile and web [00:05:40.40 --> 00:05:44.88] applications use their Computing [00:05:42.20 --> 00:05:47.00] clusters and access a wide variety of AI [00:05:44.88 --> 00:05:48.60] and machine learning tools here's why I [00:05:47.00 --> 00:05:51.00] think these cloud service providers [00:05:48.60 --> 00:05:53.12] won't get disrupted anytime soon except [00:05:51.00 --> 00:05:55.64] maybe by each other first it would cost [00:05:53.12 --> 00:05:57.32] a business way more to build even a tiny [00:05:55.64 --> 00:05:59.44] fraction of these services for [00:05:57.32 --> 00:06:01.72] themselves instead of just using a cloud [00:05:59.44 --> 00:06:04.12] CL service provider and second these [00:06:01.72 --> 00:06:06.04] Services run on top of massive Global [00:06:04.12 --> 00:06:07.84] networks of data centers and that [00:06:06.04 --> 00:06:10.68] Hardware infrastructure is also [00:06:07.84 --> 00:06:14.00] incredibly expensive to research develop [00:06:10.68 --> 00:06:15.76] deploy maintain and upgrade over time a [00:06:14.00 --> 00:06:19.20] recent study showed that Amazon has [00:06:15.76 --> 00:06:21.76] spent over $100 billion on AWS from when [00:06:19.20 --> 00:06:24.12] it was launched to the end of 2021 [00:06:21.76 --> 00:06:26.64] around half of which was spent in Just 2 [00:06:24.12 --> 00:06:28.96] years let me put it like this if Amazon [00:06:26.64 --> 00:06:30.88] web services was its own country today [00:06:28.96 --> 00:06:33.32] it would have around the 50th biggest [00:06:30.88 --> 00:06:35.76] National budget in the world that's not [00:06:33.32 --> 00:06:38.36] so easy to compete with is it and that's [00:06:35.76 --> 00:06:40.40] just AWS Microsoft and Google are [00:06:38.36 --> 00:06:42.64] spending billions on Azure and Google [00:06:40.40 --> 00:06:44.68] Cloud as well and who are they spending [00:06:42.64 --> 00:06:47.40] that money with well the next two [00:06:44.68 --> 00:06:49.12] companies on the list are Nvidia and AMD [00:06:47.40 --> 00:06:52.08] which dominate the market for data [00:06:49.12 --> 00:06:54.12] center gpus also called accelerators [00:06:52.08 --> 00:06:56.64] gpus are currently the main kind of [00:06:54.12 --> 00:07:00.36] processor for AI applications like chat [00:06:56.64 --> 00:07:02.96] GPT Nvidia currently has a massive 92% [00:07:00.36 --> 00:07:05.64] market share for Data Center gpus and [00:07:02.96 --> 00:07:08.20] AMD is their only direct competition [00:07:05.64 --> 00:07:10.32] with around 4% of the market the reason [00:07:08.20 --> 00:07:11.92] I spend so much time researching Nvidia [00:07:10.32 --> 00:07:14.64] is to understand how long they can [00:07:11.92 --> 00:07:17.00] defend this massive lead the Enterprise [00:07:14.64 --> 00:07:19.84] accelerator Market is expected to have a [00:07:17.00 --> 00:07:22.20] 24% compound annual growth rate for [00:07:19.84 --> 00:07:24.16] almost the next decade so even if AMD [00:07:22.20 --> 00:07:26.20] never catches Nvidia they're the only [00:07:24.16 --> 00:07:28.48] other possible winner and they should at [00:07:26.20 --> 00:07:30.32] least grow as the market does now is [00:07:28.48 --> 00:07:32.68] also probably a good time to explain the [00:07:30.32 --> 00:07:34.92] green and blue checks on my table green [00:07:32.68 --> 00:07:37.04] means that a company is a market leader [00:07:34.92 --> 00:07:39.36] Microsoft Google and Amazon dominate [00:07:37.04 --> 00:07:41.52] cloud services and data centers so they [00:07:39.36 --> 00:07:43.60] have green check marks in those columns [00:07:41.52 --> 00:07:45.88] Nvidia also has its own set of data [00:07:43.60 --> 00:07:47.88] centers and supercomputing services but [00:07:45.88 --> 00:07:50.52] they're much less widely used so I gave [00:07:47.88 --> 00:07:52.80] Nvidia a blue check on the flip side [00:07:50.52 --> 00:07:54.76] Microsoft Google and Amazon all build [00:07:52.80 --> 00:07:56.60] their own data center chips but they [00:07:54.76 --> 00:07:58.72] don't really compete with nvidias or [00:07:56.60 --> 00:08:00.80] amds they actually don't even sell them [00:07:58.72 --> 00:08:03.04] to other compan companies instead they [00:08:00.80 --> 00:08:05.28] send easier workloads to their own chips [00:08:03.04 --> 00:08:07.28] and they use nvidia's and amd's chips to [00:08:05.28 --> 00:08:09.24] process the harder ones that's why [00:08:07.28 --> 00:08:11.48] Nvidia and AMD have green check marks [00:08:09.24 --> 00:08:13.56] for AI chips while the cloud providers [00:08:11.48 --> 00:08:15.40] have blue ones and the NASDAQ gets blue [00:08:13.56 --> 00:08:17.20] check marks across the board since it [00:08:15.40 --> 00:08:19.56] holds at least some companies in every [00:08:17.20 --> 00:08:21.80] major Tech Market as you can see these [00:08:19.56 --> 00:08:23.52] checks are not an exact science I'm just [00:08:21.80 --> 00:08:25.44] trying to show you a lot of high level [00:08:23.52 --> 00:08:27.08] information at once and there's a lot [00:08:25.44 --> 00:08:29.00] more to each of these companies than I [00:08:27.08 --> 00:08:31.00] can cover in a single video all right [00:08:29.00 --> 00:08:33.76] here 's a quick bonus stock to consider [00:08:31.00 --> 00:08:36.28] Intel has over a 70% market share for [00:08:33.76 --> 00:08:38.96] data center CPUs even though AI is [00:08:36.28 --> 00:08:40.64] Shifting the world towards gpus CPUs are [00:08:38.96 --> 00:08:42.68] still the main kind of data center [00:08:40.64 --> 00:08:45.32] processor today Intel's biggest [00:08:42.68 --> 00:08:47.64] competitor here is AMD which owns the [00:08:45.32 --> 00:08:49.64] other roughly 30% of this Market I [00:08:47.64 --> 00:08:52.08] didn't put Intel on my list because it's [00:08:49.64 --> 00:08:53.84] already near the top of the NASDAQ 100 [00:08:52.08 --> 00:08:56.60] and it's currently way above my price [00:08:53.84 --> 00:08:59.96] Target after going up 50% over the last [00:08:56.60 --> 00:09:01.24] 2 months anyway between Nvidia and AMD [00:08:59.96 --> 00:09:03.52] and the three big cloud service [00:09:01.24 --> 00:09:05.92] providers I can own the entire data [00:09:03.52 --> 00:09:08.20] center GPU market and not worry about [00:09:05.92 --> 00:09:10.20] who's winning at any given time and if I [00:09:08.20 --> 00:09:12.92] add Intel into the mix I would own the [00:09:10.20 --> 00:09:14.92] entire CPU Market as well so now with [00:09:12.92 --> 00:09:16.92] just five or six stocks I'm virtually [00:09:14.92 --> 00:09:19.72] guaranteed to be holding the winners of [00:09:16.92 --> 00:09:21.76] multiple quickly growing markets no luck [00:09:19.72 --> 00:09:23.48] required by the way the global [00:09:21.76 --> 00:09:26.92] artificial intelligence Market is [00:09:23.48 --> 00:09:28.44] forecasted to 15x over the next 10 years [00:09:26.92 --> 00:09:31.92] which is a compound annual growth rate [00:09:28.44 --> 00:09:33.76] of almost 37% for the next decade that [00:09:31.92 --> 00:09:35.12] means all of the hardware companies and [00:09:33.76 --> 00:09:37.76] cloud service providers that I've [00:09:35.12 --> 00:09:39.96] covered so far should also grow fast [00:09:37.76 --> 00:09:42.48] even if their market shares just stay [00:09:39.96 --> 00:09:45.16] the same the third part of the AI Market [00:09:42.48 --> 00:09:47.16] is software obviously software includes [00:09:45.16 --> 00:09:49.04] a lot of different things so I picked a [00:09:47.16 --> 00:09:51.32] couple of example categories just so you [00:09:49.04 --> 00:09:53.48] can get the idea the first category that [00:09:51.32 --> 00:09:55.16] I picked is cyber security since the [00:09:53.48 --> 00:09:57.72] global Cloud security Market is [00:09:55.16 --> 00:09:59.56] forecasted to more than 7x in size over [00:09:57.72 --> 00:10:02.60] the next decade which is is a growth [00:09:59.56 --> 00:10:04.84] rate of over 22% per year and just like [00:10:02.60 --> 00:10:06.68] software cyber security includes many [00:10:04.84 --> 00:10:09.32] different things like identity and [00:10:06.68 --> 00:10:11.76] access management data loss prevention [00:10:09.32 --> 00:10:13.48] event management disaster recovery and a [00:10:11.76 --> 00:10:16.08] lot more than what's shown on this one [00:10:13.48 --> 00:10:18.04] chart I'm also not a cyber security [00:10:16.08 --> 00:10:20.76] expert but I do think this Market will [00:10:18.04 --> 00:10:22.68] grow even faster than predicted because [00:10:20.76 --> 00:10:24.68] as AI keeps evolving there will be way [00:10:22.68 --> 00:10:26.84] more cyber threats in general new kinds [00:10:24.68 --> 00:10:28.52] of malware and hacking techniques more [00:10:26.84 --> 00:10:30.48] devices apps and data that needs [00:10:28.52 --> 00:10:32.68] securing and more rules and regulation [00:10:30.48 --> 00:10:34.84] on what counts as secure in the first [00:10:32.68 --> 00:10:36.76] place so I looked for cyber security [00:10:34.84 --> 00:10:38.84] companies that have high earnings growth [00:10:36.76 --> 00:10:40.96] and are Market leaders specifically in [00:10:38.84 --> 00:10:43.00] identity and access management and data [00:10:40.96 --> 00:10:44.68] loss prevention since those appear to be [00:10:43.00 --> 00:10:46.76] the biggest chunks of the global Cloud [00:10:44.68 --> 00:10:49.28] security Market that's how I landed on [00:10:46.76 --> 00:10:51.20] poo Alto networks and fortunet crowd [00:10:49.28 --> 00:10:53.08] strike and zscaler are two other cyber [00:10:51.20 --> 00:10:55.28] security companies that are also in the [00:10:53.08 --> 00:10:57.08] NASDAQ 100 but I didn't add them to this [00:10:55.28 --> 00:10:59.08] list because they both recently had [00:10:57.08 --> 00:11:01.04] company insiders selling shares and and [00:10:59.08 --> 00:11:03.24] they were either unprofitable or barely [00:11:01.04 --> 00:11:05.16] profitable for the most recent quarter [00:11:03.24 --> 00:11:07.00] none of that makes them bad companies [00:11:05.16 --> 00:11:08.92] but I'm being super picky here since [00:11:07.00 --> 00:11:10.92] this list is all about building a solid [00:11:08.92 --> 00:11:13.64] foundation for a long-term stock [00:11:10.92 --> 00:11:15.68] portfolio and of course Microsoft Google [00:11:13.64 --> 00:11:17.72] and Amazon have a wide range of cloud [00:11:15.68 --> 00:11:19.48] Security Services as well but they're [00:11:17.72 --> 00:11:21.52] not as specialized and they only work [00:11:19.48 --> 00:11:23.84] within their own ecosystems that's why [00:11:21.52 --> 00:11:26.28] they got blue checks and that brings me [00:11:23.84 --> 00:11:28.56] to paler and uipath which are both [00:11:26.28 --> 00:11:30.48] Enterprise software companies paler [00:11:28.56 --> 00:11:32.32] makes high powered platforms that give [00:11:30.48 --> 00:11:34.36] huge Enterprises a real-time view of [00:11:32.32 --> 00:11:36.92] their data and help them optimize their [00:11:34.36 --> 00:11:38.80] operations paler platforms tend to focus [00:11:36.92 --> 00:11:41.16] on high-risk and highly regulated [00:11:38.80 --> 00:11:43.44] markets like National Security heavy [00:11:41.16 --> 00:11:45.72] Industries medical and international [00:11:43.44 --> 00:11:48.16] transport users can even send commands [00:11:45.72 --> 00:11:50.44] to assets under their control directly [00:11:48.16 --> 00:11:52.40] from within the platform for example a [00:11:50.44 --> 00:11:54.56] power company can monitor and rotate a [00:11:52.40 --> 00:11:56.96] wind turbine a logistics company can [00:11:54.56 --> 00:11:59.48] reroute its trucks and a commander can [00:11:56.96 --> 00:12:01.16] retask military units in real time [00:11:59.48 --> 00:12:03.00] which just goes to show how much some of [00:12:01.16 --> 00:12:05.28] the biggest governments and companies on [00:12:03.00 --> 00:12:07.52] the planet trust paler platforms with [00:12:05.28 --> 00:12:09.16] their most sensitive data because of [00:12:07.52 --> 00:12:12.04] that paler Solutions need to be [00:12:09.16 --> 00:12:13.84] incredibly accurate fast and secure [00:12:12.04 --> 00:12:16.32] which is a big challenge for most aib [00:12:13.84 --> 00:12:18.44] based tools today my other pick here is [00:12:16.32 --> 00:12:21.04] uipath a company that makes software [00:12:18.44 --> 00:12:23.36] robots to emulate and automate work done [00:12:21.04 --> 00:12:25.28] by humans uipath uses different kinds of [00:12:23.36 --> 00:12:27.48] AI like computer vision and natural [00:12:25.28 --> 00:12:29.92] language processing to let people create [00:12:27.48 --> 00:12:31.84] pretty robust automations for example [00:12:29.92 --> 00:12:34.24] they can use computer vision to find and [00:12:31.84 --> 00:12:36.76] push a button on a web page even if that [00:12:34.24 --> 00:12:38.08] web Page's layout changes over time or [00:12:36.76 --> 00:12:40.84] the robot can crawl through tons of [00:12:38.08 --> 00:12:43.52] emails retrieve data and enter it into a [00:12:40.84 --> 00:12:45.68] wide variety of other applications or it [00:12:43.52 --> 00:12:47.60] can send invoices to large numbers of [00:12:45.68 --> 00:12:49.48] customers who need them in completely [00:12:47.60 --> 00:12:51.68] different formats these are all [00:12:49.48 --> 00:12:53.88] processes that every company has to deal [00:12:51.68 --> 00:12:56.72] with so UI paaths Market is pretty [00:12:53.88 --> 00:12:59.08] massive I chose both paler and uipath [00:12:56.72 --> 00:13:01.00] for a few key reasons first I I have [00:12:59.08 --> 00:13:03.32] personal experience with them both I [00:13:01.00 --> 00:13:05.28] used paler Foundry for about half a year [00:13:03.32 --> 00:13:07.24] and I use uipath in my day-to-day [00:13:05.28 --> 00:13:08.72] business so I have a pretty good [00:13:07.24 --> 00:13:11.12] understanding of the quality of their [00:13:08.72 --> 00:13:13.28] products and who their main competitors [00:13:11.12 --> 00:13:15.12] actually are the bad news is that paler [00:13:13.28 --> 00:13:16.96] and uipath are both seeing more [00:13:15.12 --> 00:13:19.28] competition from Tech giants that are [00:13:16.96 --> 00:13:21.68] adding AI to many of their services like [00:13:19.28 --> 00:13:23.72] Microsoft and Amazon but the good news [00:13:21.68 --> 00:13:26.08] is that those companies are already at [00:13:23.72 --> 00:13:28.48] the top of this list so I win no matter [00:13:26.08 --> 00:13:30.60] which company ends up on top no lock [00:13:28.48 --> 00:13:32.40] requ ired the other reason that I picked [00:13:30.60 --> 00:13:35.20] paler and uipath is that they're [00:13:32.40 --> 00:13:37.00] flexible and fast as AI keeps evolving [00:13:35.20 --> 00:13:39.32] both companies have released new tools [00:13:37.00 --> 00:13:40.80] that their customers love for example [00:13:39.32 --> 00:13:43.52] paler stood up their artificial [00:13:40.80 --> 00:13:46.08] intelligence platform AIP just months [00:13:43.52 --> 00:13:48.68] after chat GPT was released and it's now [00:13:46.08 --> 00:13:51.20] their most demanded platform and uipath [00:13:48.68 --> 00:13:53.16] built a chat GPT integration to securely [00:13:51.20 --> 00:13:55.12] extract information from long documents [00:13:53.16 --> 00:13:57.36] for use in larger workflows which makes [00:13:55.12 --> 00:13:59.72] it way faster and simpler to automate [00:13:57.36 --> 00:14:01.84] many different processes and as we enter [00:13:59.72 --> 00:14:03.68] the era of AI I think the market will [00:14:01.84 --> 00:14:05.68] reward companies that are fast and [00:14:03.68 --> 00:14:07.68] flexible which is why it's the last [00:14:05.68 --> 00:14:09.48] column on my table whether a company [00:14:07.68 --> 00:14:11.32] focuses on one market like cyber [00:14:09.48 --> 00:14:13.08] security or it has its hands in every [00:14:11.32 --> 00:14:14.20] market like the tech Giants companies [00:14:13.08 --> 00:14:16.00] will need to keep up with the [00:14:14.20 --> 00:14:17.72] state-of-the-art or get disrupted by [00:14:16.00 --> 00:14:19.88] those who can I know this video is a [00:14:17.72 --> 00:14:21.60] little long but I wanted to be thorough [00:14:19.88 --> 00:14:24.32] since the whole idea is to build a solid [00:14:21.60 --> 00:14:27.08] foundation for a portfolio in 2024 and [00:14:24.32 --> 00:14:29.00] Beyond and to me that means focusing on [00:14:27.08 --> 00:14:31.16] fast growing markets and finding all the [00:14:29.00 --> 00:14:33.72] winners by understanding the science [00:14:31.16 --> 00:14:36.40] behind the stocks that's the best way to [00:14:33.72 --> 00:14:38.08] get rich without getting lucky so if you [00:14:36.40 --> 00:14:39.48] feel I've earned it consider hitting the [00:14:38.08 --> 00:14:41.20] like button and subscribing to the [00:14:39.48 --> 00:14:43.36] channel that lets me know to put out [00:14:41.20 --> 00:14:45.40] more research like this either way [00:14:43.36 --> 00:14:47.96] thanks for watching and until next time [00:14:45.40 --> 00:14:50.00] this is ticker symbol U my name is Alex [00:14:47.96 --> 00:14:52.20] reminding you that the best investment [00:14:50.00 --> 00:14:55.20] you can make is in [00:14:52.20 --> 00:14:55.20] you