Our Top 3 AI ETFs for 2024

The Fifth Person
19 Jun 202428:26

Summary

TLDRIn this video, hosts Adam and Victor explore the burgeoning AI ETF market, highlighting the potential of AI to revolutionize various industries. They discuss technological advancements, the impact of AI on sectors like pharmaceuticals and e-commerce, and the importance of understanding AI's role in different companies. The hosts compare three AI-focused ETFs, emphasizing the significance of top holdings, expense ratios, and the potential for growth. They advocate for a discerning approach to investment, suggesting that knowledge from their Alpha Quadrant framework can enhance stock selection and valuation skills.

Takeaways

  • 🚀 Adam and Victor discuss their favorite AI ETFs, highlighting the potential for AI to revolutionize various industries like the internet did.
  • 🌟 They mention technological breakthroughs in AI, such as the adoption of EVs and blockchain, and compare AI's broad impact to that of the internet on Cisco.
  • 💡 Nvidia is positioned as a key beneficiary of AI advancements, providing essential GPU chips for AI's computational needs.
  • 🔍 AI's influence is seen across sectors, including improvements in productivity with tools like Microsoft's CoPilot and Zoom's meeting summarization features.
  • 🛠️ AI's role in the pharmaceutical industry is emphasized, with AI improving drug discovery success rates significantly.
  • 📈 The potential growth of the AI sector is projected to be in the trillions over the next 5 to 10 years, indicating a massive market opportunity.
  • 🤖 ETFs like Global X AI (AIQ) are identified as a way for investors to gain exposure to the AI market, with holdings in companies driving AI advancements.
  • 𝄞 The importance of understanding the composition of ETFs is stressed, as some may not include companies at the forefront of AI, like Microsoft.
  • 💰 The discussion points out the trade-off between ETF fees and the potential benefits of DIY stock picking, which can save on fees but requires more effort.
  • 📊 Alpha Quadrant is introduced as a valuable investment framework for analyzing stocks and ETFs, focusing on business models and growth potential.
  • 🔗 The presenters suggest that having a skill set in stock picking and valuation is beneficial, as it allows for more informed investment decisions beyond just ETFs.

Q & A

  • What is the main topic of discussion in the video?

    -The main topic of discussion in the video is the exploration of AI ETFs (Exchange Traded Funds) and their potential for investment in the context of the growing AI industry.

  • Why is AI considered a significant area for investment?

    -AI is considered significant for investment due to its wide-ranging impact across various industries, technological breakthroughs, and the potential for substantial growth in the coming years, as evidenced by companies like Nvidia benefiting from the AI revolution.

  • What does the acronym 'ETF' stand for and what role do they play in investment?

    -ETF stands for Exchange Traded Fund, which is a type of investment fund and financial product that is traded on stock exchanges much like individual stocks. They offer investors exposure to a diversified portfolio of assets, in this case, related to AI.

  • What is the role of Nvidia in the AI industry according to the video?

    -Nvidia plays a crucial role in the AI industry as they provide the GPU chips that are essential for powering cloud computing and enabling AI technologies, such as large language models.

  • What is the significance of the AI Revolution in the pharmaceutical industry as mentioned in the video?

    -The AI Revolution in the pharmaceutical industry is significant as AI technologies are being used to discover new drugs, modify molecules, and improve the success rate of drug discovery, with a reported increase in the success rate from 75% to 87.5%.

  • What is the difference between an 'enabler', 'engager', and 'enhancer' in the context of AI ETFs?

    -In the context of AI ETFs, 'enablers' are firms that create the hardware and software making AI possible. 'Engagers' are companies that integrate AI into their operations to create value and improve efficiency. 'Enhancers' focus on optimizing AI technology to help other businesses improve.

  • Why might an investor prefer to invest in individual AI stocks rather than an AI ETF?

    -An investor might prefer to invest in individual AI stocks for more control over their investment, the ability to select companies they believe will benefit most from AI advancements, and potentially lower fees compared to ETFs.

  • What is the Alpha Quadrant and how does it relate to the discussion in the video?

    -The Alpha Quadrant is an investment framework mentioned in the video that teaches investors how to analyze companies for growth potential and valuation. It helps investors make informed decisions about which companies to invest in, including those within the AI sector.

  • What are some of the key factors to consider when evaluating AI ETFs according to the video?

    -Key factors to consider when evaluating AI ETFs include the ETF's expense ratio, the top holdings within the ETF, the AUM (assets under management) size, and the ETF's historical performance.

  • How does the video suggest one should approach investing in AI ETFs or individual AI stocks?

    -The video suggests that investors should have a deep understanding of the companies within the ETFs or they are considering for individual investment. It also emphasizes the importance of using an investment framework like the Alpha Quadrant to analyze the potential for growth and to understand the valuation of the companies.

Outlines

00:00

🚀 Introduction to AI ETFs and Technological Advancements

The video script begins with an introduction to the topic of AI ETFs by hosts Adam and Victor. They discuss the significant role AI has been playing in various industries, drawing parallels to past technological breakthroughs like the internet and EV adoption. They highlight companies like Nvidia that are profiting from the AI revolution, and they emphasize the transformative potential of AI across different sectors, including its impact on productivity and cost savings. The hosts also mention specific AI applications, such as GPT and Microsoft's implementation of AI in Office, to illustrate the technology's practical benefits.

05:01

📈 AI's Impact on Industries and ETF Investment Opportunities

In this paragraph, the hosts delve into the potential growth of the AI sector, projected to reach trillions in value over the next 5 to 10 years. They discuss AI ETFs as a means for investors to gain exposure to this burgeoning industry. The conversation includes an analysis of the Global X AI ETF (AIQ), its asset size, top holdings, and the companies that are likely to benefit from AI advancements. The hosts also categorize companies into 'enablers,' 'engagers,' and 'enhancers' to explain their roles in the AI ecosystem and how they might be represented in AI ETFs.

10:01

🔍 Analyzing AI ETFs: Holdings, Performance, and Diversification

The hosts continue by examining various AI ETFs, comparing their holdings, performance, and diversification. They critique the Global X AI ETF for its high expense ratio and lack of certain key companies like Microsoft in its top holdings. They then discuss the I Shares US Technology ETF for its broader diversification with 131 holdings and a lower expense ratio. The paragraph concludes with an analysis of the Fidelity MSCI Information Technology ETF, noting its even lower fees and significant holdings in major AI-related companies.

15:02

💡 The Value of DIY Stock Picking Over ETFs for AI Investments

In this segment, the hosts share their preference for cherry-picking individual AI stocks over investing in ETFs. They argue that having the skill set to analyze and understand the underlying companies of an ETF can lead to better investment decisions. The hosts introduce their Alpha Quadrant investment framework, which they use to identify companies with high growth potential. They emphasize the importance of valuing companies correctly and understanding the business models and growth potential behind them.

20:03

🛠 Alpha Quadrant: An Investment Framework for Selecting High-Growth Stocks

The hosts elaborate on the Alpha Quadrant investment framework, which is open for enrollment until June 30th. They explain that this framework teaches investors how to pick stocks that can potentially grow exponentially over time. The conversation includes details about the benefits of the Alpha Quadrant, such as live webinars and the ability to differentiate between business models that can scale quickly and those that may not. The hosts stress the importance of investing in companies that are poised to benefit from circular trends and have the potential for significant returns.

25:05

📊 Conclusion: The Importance of Understanding ETF Components and Valuation

The final paragraph wraps up the discussion by summarizing the key points about AI ETFs and the importance of understanding their components and valuations. The hosts reiterate their preference for stock picking in the AI space due to the ability to handpick companies that meet specific investment criteria and wait for the right valuation. They encourage viewers to check out the Alpha Quadrant and to ask questions or provide feedback in the comments section. The hosts also remind viewers that the information shared is not financial advice but rather an educational discussion on investment strategies.

Mindmap

Keywords

💡AI ETFs

AI ETFs, or Artificial Intelligence Exchange Traded Funds, are investment funds that focus on companies involved in the AI industry. They provide investors with exposure to the AI sector without having to pick individual stocks. In the video, the hosts discuss their favorite AI ETFs and how they can offer a way to invest in the broader AI industry, which is highlighted by the reference to the ETF 'AIQ' and its top holdings like Nvidia.

💡Technological Breakthrough

The term 'technological breakthrough' refers to a significant development or innovation that brings about a substantial change in a particular field. In the script, it is mentioned in the context of the past 5 years, where breakthroughs like the mass adoption of electric vehicles and advancements in blockchain technology have occurred. AI is presented as the next such breakthrough, with wide-ranging implications across various industries.

💡Cloud Computing

Cloud computing is the delivery of computing services, including servers, storage, databases, and software, over the internet (the cloud) to offer faster innovation, flexible resources, and economies of scale. In the video, cloud computing is discussed in relation to AI, emphasizing the need for powerful hardware like GPUs to perform the intense computational tasks required for AI models, as exemplified by companies like Nvidia supplying these chips.

💡Large Language Model

A large language model is an AI system designed to understand and generate human language. The script mentions how such models have improved to the point where they can converse in a human-like manner, revolutionizing how we interact with data and technology, as illustrated by the chatbot example where it was previously a frustrating experience but has now become much more natural and useful.

💡

💡AI Revolution

The 'AI Revolution' is a term used in the script to describe the transformative impact that artificial intelligence is having across various industries globally. It is compared to the internet revolution, suggesting a fundamental change in how businesses operate and create value. The script discusses how AI is not just benefiting tech companies but is also being used in sectors like pharmaceuticals for drug discovery and in China for live streaming with AI-generated personas.

💡Enabler

In the context of AI ETFs, 'enabler' refers to companies that create the hardware and software necessary for AI to function. These are the foundational technologies that 'enable' AI applications to exist. The script mentions Nvidia as an example of an enabler due to its production of GPUs, which are crucial for the computational power needed in AI applications.

💡Engager

An 'engager' in the script refers to companies that integrate AI into their operations to create value, improve efficiency, and reduce costs. Engagers are businesses that actively use AI to enhance their existing processes and offerings. Examples given in the script include Alphabet, Amazon, and Tesla, which leverage AI to improve various aspects of their businesses.

💡Enhancer

The term 'enhancer' is used to describe firms that focus on optimizing AI technology and building upon it to help others improve. These companies are not just users of AI but also contribute to its advancement. In the script, Adobe and Splunk are cited as examples of enhancers, with Adobe's Adobe Sensei being a tool that aids designers in digital marketing and Splunk aiding in data analytics.

💡Expense Ratio

The expense ratio of an ETF is the annual fee that all investors pay for the operational costs of managing and administering the fund. It is expressed as a percentage of the fund's total assets. In the video, the expense ratio is discussed as an important factor to consider when choosing an ETF, with the Global X AI ETF having a higher ratio compared to the I Share US Technology ETF.

💡AUM (Asset Under Management)

AUM refers to the total value of assets that an investment manager manages on behalf of investors. It is an important metric to gauge the size and stability of an ETF. The script mentions AUM when discussing the Global X AI ETF, noting that its AUM is close to 2 billion, indicating its relative size in the market.

💡Alpha Quadrant

Alpha Quadrant is mentioned in the script as an investment framework or course that teaches investors how to pick stocks with high growth potential. It is positioned as a skill set that helps in understanding and valuing companies, which can be applied to both individual stocks and ETFs for making informed investment decisions.

Highlights

AI ETFs are gaining interest as AI technology expands its impact across various industries.

Nvidia's significant rise is attributed to its crucial role in providing GPUs for AI and cloud computing.

AI is set to benefit multiple industries, much like the internet did, not limited to a single sector.

AI advancements have made it possible to interact with data more naturally through large language models.

Microsoft has integrated AI with co-pilot in Microsoft Office to analyze large datasets.

AI is improving productivity in various fields, including pharmaceuticals and live streaming in China.

AI's potential in drug discovery has increased the success rate of FDA approval significantly.

Investing in AI ETFs provides exposure to the growing AI sector, with a market potential in the trillions over the next 5-10 years.

Global X Artificial Intelligence ETF (AIQ) has a focus on companies enabling AI through hardware and software.

AI ETFs categorize companies into enablers, engagers, and enhancers based on their role in AI technology.

Expense ratios and AUM sizes are crucial considerations when choosing between different AI ETFs.

I Share US Technology ETF offers a more diversified portfolio with a lower expense ratio.

Fidelity MSCI Information Technology ETF provides broad diversification with an even lower expense ratio.

Top holdings in AI ETFs should be analyzed for their direct benefit from AI advancements.

Investors should consider DIY stock picking combined with AI knowledge for potentially higher returns.

Alpha Quadrant investment framework teaches valuation methods and business model analysis for stock picking.

The importance of understanding the intrinsic value of ETFs and their underlying stocks for informed investing.

Transcripts

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welcome back guys my name is Adam I have

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rusan Hello Victor hi everyone today

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we're going to talk about our favorite

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AI ETFs so AI is a big thing and a lot

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of uh stocks like Nvidia going up all

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the way to the moon and for some of you

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who are looking into you know exposure

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into AI ETFs or one way you can get

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exposure to that so we're going to share

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some of our favorite ETFs in this AI

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space so before we jump into that want

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talk a bit about AI so uh over the last

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uh 5 years I think we've seen a lot of

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technological breakthrough right I think

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we have seen EV uh uh Mass adoption

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there was in 2020 where you know Tesla

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share price have gone up right

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significantly and uh but they actually

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benefited just Tes Tesla or certain one

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one industry EV right and then of course

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we have seen uh blockchain right and

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then we have

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metabus more more so a lot of this

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breakthrough when it it needs a mass

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adoption right but sometime certain

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technology will only benefit the

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industry but what we are seeing what I'm

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seeing with AI is is going to benefit

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across the industry just like how

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internet actually benefited uh all of us

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not just uh Cisco right Cisco used to be

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the the initial know company that like

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the backbone of the internet the

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backbone of Internet of that time yeah

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and they provided that like routers

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switches all the networking equipment

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which you know Empower us to use the

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internet right so Nvidia is now at that

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stage where they are benefiting a lot

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from their AI because people needed the

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GPU right the h00 chips right to power

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the all this uh know cloud computing uh

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and intense uh GPU performance they they

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needed to do the large language model

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right so but they are not the only

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company that's going to benefit from AIS

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actually right so uh in fact this

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industry uh the AI Revolution I think is

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going to empower or change industry

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across the world right I think just to

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give you some example I think if I think

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just check G alone when it was launched

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uh it was it is actually the first time

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that we are able to talk to

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data without going through a data

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engineer or data scientist I think it

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felt just so natural I think there have

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been boxes chat uh Bots before yes but

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they were terrible very terrible yeah

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really when I remember when I start

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using chat gbt I was like Wow because

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previously there's really such s similar

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system but then the their reply is like

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what the hell is this yeah so this they

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call it uh large language model or

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natural language where they reply like a

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human right so that actually change game

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on how we really talk to data so and

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that I mean people like like us without

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any data engineer background we can

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really like talk to data research a lot

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of I know data without going to another

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layer and that actually revolutionize

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the whole industry subjectivity I think

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we all can see it how powerful it can

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get right so it can help us uh craft an

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email right do a lot of stuff right on

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on CH gbt uh but still can't recommend

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stock

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yet okay so that's why you still need to

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watch this channel so and then of course

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uh I mean Microsoft themselves they

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actually implemented co-pilot on the

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Microsoft Office so if you have actually

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use copilot you can actually use

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Microsoft Excel to help you analyze uh

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tropes of data that you have in the

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Excel spreadsheet right so copilot can

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actually help you to do that uh and of

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course uh if you use zoom right I think

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they also able to summarize the meeting

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the minutes of the meeting itself right

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so they actually improve a lot of

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productivity that we get out of this Ai

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and that will help company to save on

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cost because they improve the

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productivity alone right so that kind of

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massive benefit that we are seeing and I

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think in the pharmaceutical industry

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also you actually see AIS are actually

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being used to discover new drugs they

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are able to modify certain molecules

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right I mean the AIS themselves can

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actually do that and uh and based on the

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stats that I've seen I think that

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actually improved the success rate but

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by up to I think go up to SI high is

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about 87% 5% right but in the in the

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past before that was I think 75% on

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average the uh drug Discovery when they

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uh successfully go through FDA approval

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phase one the success rate is

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87.5% versus 75% that's a huge jump for

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the pharmaceutical industry all right so

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uh and of course in China we also see AI

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is being used uh live streaming live

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streaming is very popular in China right

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so uh the e-commerce Market over there

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and they I think recently I think we saw

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in April uh they actually uploaded a

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photo of Richard Le mhm and he become

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the guy that doing the live streaming

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okay but actually that's not actual

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Richard Le right it's just a photo of

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him and then they use uh gen AI to

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actually Empower this photo to do live

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streaming and people it went viral in

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China okay all right so and you can

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actually I can go on with different

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industry but I think you get to see that

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you know AI Revolution is not just going

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to benefit companies of nvida it's going

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to be across different sector right so

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uh and if you look at a lot of research

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or forecast how AI is going to the whole

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sector is going to grow it's in trillion

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right so uh and that is over the next 5

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to 10 years so it's going to be exciting

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time uh but that's where I think AI ETFs

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come into the play and that's why we

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have this uh round table and how do you

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actually position yourself from this um

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you know revolution of AI right so what

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companies to look out for and ETF is

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just one of the good ways for you to get

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exposure into that and and of course if

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you go and dig the AI ETF out there uh

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ETF database will tell you that there

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are 39 ETFs in the us alone that talk

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about or focus on AIS right so uh so

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which one do you choose yeah Y and the

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most obvious answer is that people look

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at oh the ETF with AI name on it right

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so like this uh aiq right Global X

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artificial intelligence and then they'll

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tell you oh how big the market is going

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to grow for AI itself what are the

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benefit of investing this ETF blah blah

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blah right so this AI aiq itself I think

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the AUM size the asset size is right

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right now is about close to 2 billion

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and if you look at the top 10 Holdings

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they have uh companies like Nvidia which

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currently benefited from this uh um ai's

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Revolution uh because they are the

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backbone of this uh AI right so and they

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have this Transformer model right so you

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look at Nvidia they sell the gpus right

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so the people are ordering a massive

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tons of GPU look at how much um billions

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of dollar that meta is spending on GPU

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all the big Tech Guys right so this guy

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side you look at Shai has gone up a lot

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right and they also have Holdings in

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tensen which also um um benefited from

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AIS because tenen has their advertising

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segment where they actually use AI to

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help to improve the ads targeting y

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right so that will help improve the

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return investment for the merchant and

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when the merchant seei on their adverti

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advertis advertisement they will spend

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more similar to meta similar to meta

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right so they also have holding on meta

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right so they these two actually

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benefited from a I think I think I want

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to give a context on uh how this

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actually companies actually go into the

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ETF right because some of the company

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maybe you see are you sure this AI yes

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right so I think for the AI ETF right I

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think mostly they focus on three

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category right the first one is what we

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call the enabler which is like uh those

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firms that creates the hardware the

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software that makes the AI possible so

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like you got your Nvidia the GPU chips

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right your Intel Micron uh Microsoft

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which is they got the cloud structure

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and also they got the uh their operating

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system so that that is the enabler then

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after that you have the engager right

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the engager is basically uh companies

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right to integrate AI into the operation

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to you know uh create value improve

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efficiency reduce cost right so you have

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like alphabet Amazon and Tesla then

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finally the last one is what we call

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enhancer so enhancer this this firms

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like they focus on optimizing the AI

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technology that that they buil upon

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their own AI to help other people to

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improve right so you have like uh Adobe

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right they I think they have this new

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Adobe Sensei or fire flight which help

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which help the the designer to you know

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to do like digital marketing or what or

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if you have like example Splunk right to

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help to do data analytics and all this

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so these are called enhancer okay so

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actually some companies could actually

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fall in two or two or three just one cuz

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like alphabet is in I would say is an

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enabler as well because of it en hyper

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scale

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so as long as they are in one of these

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three category the AI ETF will go and

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buy them okay yeah yeah so again uh then

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of course you have Netflix also I think

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this also a beneficiary from AI they

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actually U engager yeah so they helps to

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uh personalize the kind of show that you

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like recation engine yes and that will

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enhance the stickiness of user on the

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platform they will stay with them so

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that reduce the CH rate they saying I

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think Hollywood some Hollywood people

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were saying that in a few years or how

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many years later you're going to have ai

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creating movies oh all by themselves

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yeah that that probably will be

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something that would be mindblowing but

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that's something that Netflix could

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actually get behind benefit get that

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will definitely reduce their cost

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because now they are spending a lot

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doing the movies right before that they

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are cash flow a few cash flow gener but

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after they start movie production that's

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where they spend lot money but that to

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go through

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I so far how would an AI actually like

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film a whole movie you never know never

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know you never know yeah but this is is

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how potential of

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things can come out with movie script

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now I mean I don't know how good it is

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but the the good thing about AI is right

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when we see now we know that it's going

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to for adoption right it's different

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from metav the point of time when metav

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was wow it's very good very good but at

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the point of time it's still not that

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mess it's cool but you don't know how

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you're going to use it

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correct I could use things yeah so I

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think again back to how do you benefit

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from this AI right so the so usually we

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look at the top 10 Holdings to get an

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idea whether this ETF is really like

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benefiting from AI right so by looking

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at certain companies I think we can

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really tell right so I think I was like

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talking about Netflix and then of

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alphabet which which you also mentioned

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they do have the cloud right where a lot

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of now gen all the chbt or Gemini that's

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happening is actually through the cloud

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and it alphab have the uh Google Cloud

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right which you needed to process all

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this computational and they have all

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this GPU CH built into the data center

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right so they also one of those company

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that I think is going to benefit from

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this Ai and qualcom right chips broadcom

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uh and of course Oracle and Alibaba so

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which Al Another Crow providers and they

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also benefiting from AI itself right so

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look at the top 10 holding itself oh

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this really artificial intelligent is

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really like okay they are they have the

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right Holdings over there but they still

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have some missing uh companies over

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there right so I look at Microsoft hey

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look Microsoft is one of those companies

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that have like profit sharing with on

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the chat gbt which is open right but

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it's not inside maybe it's part of the

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top 88 Holdings which this fund actually

play11:00

own right so um and it's not the top 10

play11:03

it's not in the top 10 I want Microsoft

play11:05

to be my top 10 right so this probably

play11:07

will be out okay for me right and on top

play11:09

of that the expense rati is about 0.68

play11:12

pretty high it's slightly on the high

play11:13

side but it's still cheaper than h f 2%

play11:16

1% uh but on the high side and then net

play11:19

value is quite considered quite low for

play11:21

the net about 1.94 billion yeah about

play11:24

two billion yeah so yeah so this one

play11:26

okay is AI ETF but I look at the

play11:29

combination M it's not that ideal for me

play11:31

okay then of course we move on right we

play11:33

have this I share us technology ETF they

play11:37

don't call themselves as like AI ATF but

play11:39

if you look at the top 10 Holdings that

play11:42

they have okay this one is a lot more

play11:43

Diversified they have 131 holding versus

play11:46

88 Holdings for the global uh X

play11:49

artificial intelligent ETF right so uh

play11:52

but if you look at the top 10 Holdings I

play11:53

think this one is a lot more interesting

play11:54

you have Microsoft on the list oh that's

play11:57

about 18% right some of you may not be

play11:59

comfortable but uh you don't have to

play12:01

have just stick to one ETF right you can

play12:03

have many ETF right so but uh Microsoft

play12:05

is one of it and then Apple about close

play12:07

to 15% mhm and apple they are I never

play12:12

really he much about recently there's

play12:13

been some news that's coming out so WWDC

play12:16

they have been announcing a lot of AI

play12:18

features right that we're going to get

play12:20

and they work with chat GPT so to me

play12:23

Apple is pretty much lagging behind but

play12:25

they still own the platform the

play12:27

operating system which I think pretty

play12:28

much all may still use it uh use apple

play12:31

to do you know gen AI kind of thing

play12:33

stuff artif I think that's the thing

play12:34

with apple is that they tend to take

play12:35

their time with new technology yes and

play12:38

then once it's like more concrete and

play12:40

then they then they start implementing

play12:41

it into the entire base so right now

play12:43

we're just seeing gen

play12:46

emojis where you use AI to create emojis

play12:50

which is such a like a nothing thing you

play12:53

know but it's funny seems like you can

play12:55

use to create a lot it was quite cute I

play12:56

watch I saw a video on that but anyway

play12:58

yeah that's about but yeah so apple is

play13:00

really like not the ahead of the curve

play13:02

in term of AI but they may still

play13:04

benefited from AI itself just it's not

play13:06

still not very obvious uh right now to

play13:09

me right Nvidia of course there that's

play13:11

also a good position there meta is also

play13:13

benefiting from it broadcom alphabet

play13:15

Salesforce alphabet AMD Adobe I think

play13:18

all these are PR point right so uh but

play13:20

it's quite decent right they have about

play13:22

100 over Holdings and if you look at the

play13:24

expense ratio it's about 0.4% which is

play13:28

slightly cheaper

play13:29

the

play13:31

global right so this is a good

play13:34

alternative actually look at it and you

play13:36

look at the last five years performance

play13:37

I think they have done pretty well uh

play13:40

about

play13:41

23% on a year-to-year basis very

play13:43

impressive so 23% perom average yes

play13:46

annualized yeah so I think largely

play13:48

because maybe they have high Holdings in

play13:50

Microsoft right uh Nvidia mea which

play13:52

actually benefited a lot right but you

play13:54

look at the U Global X artificial

play13:57

intelligence uh they do have some those

play13:59

Chinese attack like and Alibaba that may

play14:01

have Dr down performance and they have a

play14:03

smaller Holdings in the Nvidia Amazon

play14:06

it's a lot more uh Diversified even

play14:08

though they only have 88 Holdings but

play14:09

each holding they actually does not

play14:11

exceed uh 5% some people are comfortable

play14:13

with it so the waiting is more equal

play14:15

more equal yeah but uh I share ETF I

play14:18

think they have more uh concentrated but

play14:20

although they have like oh 100 over

play14:21

Holdings right but they are top 10

play14:23

Holdings are more concentrated right and

play14:25

then of course uh this is could be a one

play14:27

good alternative even though they don't

play14:29

say uh themselves as AI ETF it seems

play14:31

like maybe it's like a tech ETF that

play14:34

happens to have ai yes boost boosted by

play14:38

AI they are leading the the industry

play14:40

right so and a lot of these companies

play14:42

that in their top 10 Holdings have that

play14:44

AI impact okay but of course most of the

play14:47

time when you talk about AI usually yeah

play14:50

correct so so indirectly they are

play14:52

building a AI okay yeah and of course

play14:56

then the third one that we have will be

play14:58

the the Fidelity right so msci Fidelity

play15:02

msci Information Technology ETF okay

play15:05

right so this ETF uh I think if you look

play15:09

at this is also even is more Diversified

play15:11

they have like 300 Holdings wow okay so

play15:15

uh but top 10 uh Holdings that they have

play15:18

uh is they have Microsoft Apple Nvidia

play15:21

pretty similar to uh What iare uh us

play15:24

technology TF owns right and then Brom

play15:27

Salesforce AMD Adobe right Oro 6 very

play15:30

similar right so this company again they

play15:32

are in the good position to benefit from

play15:34

artificial intelligence right Revolution

play15:37

so um and the fee zoning comes in at

play15:39

about uh

play15:42

0.08% that's even lower than the

play15:45

Spy put it that way yes yeah and of

play15:48

course is even lower than the ISA us

play15:51

technology yeah at 0.4% right and the

play15:55

AUM size you will compare to the I share

play15:57

is about 16 billion M right and this

play16:00

fality they have this a AUM size about

play16:04

close to 10 uh billion okay which is

play16:07

actually smaller smaller okay so it's

play16:09

not as big as the AA one yeah AA is

play16:11

actually the largest one of the largest

play16:13

right and then followed by Fidelity

play16:15

right so fality but their fees are a lot

play16:16

cheaper and I think over time fality

play16:18

might get more inflow of funds coming in

play16:21

right because of the very similar in

play16:23

term of the holding right of course uh

play16:25

these are we are just focusing on the

play16:26

top 10 Holdings uh and they still have

play16:28

like you know uh 90 Holdings that we

play16:31

don't go into that right but this is how

play16:34

the rest of it you can only trust that

play16:37

ATF provider that you know they actually

play16:38

doing the right selection for you yeah

play16:41

that's how you usually approach when you

play16:42

buy ETF you are basically you know

play16:44

relying on them to pick for you yeah

play16:46

yeah but I think you also need to take

play16:47

note that the fality and the I share

play16:49

they are top three Holdings which is

play16:51

Microsoft Nvidia Apple account very

play16:54

close to about 50% of the the whole the

play16:57

whole portfolio so it's still very

play16:59

concentrated on these three companies

play17:01

yeah so I think that's the good thing

play17:02

about knowing these things because some

play17:04

people go oh I just buying ETF I'm done

play17:07

with it but actually there's a lot of

play17:09

yeah some lay layer of analysis that you

play17:10

need to go through to actually figure

play17:12

out actually whether this is ATF makes

play17:13

sense for me and my financial goal some

play17:15

people cannot be may not be comfortable

play17:17

with 50% concentration in this three

play17:20

stocks even though they are the big know

play17:22

Microsoft and video and stuff like that

play17:24

and someone could be more comfortable

play17:26

with the the ETF that has more equ

play17:29

waiting you know spread out across

play17:31

across uh different uh companies that

play17:34

way yeah so but it's but is a small very

play17:37

small ETF it's a smaller ETF so these

play17:38

are the things that you need to weigh

play17:40

and not just like oh I'll just buy an

play17:41

ETF cuz actually the things that you

play17:42

need to consider consider expense ratio

play17:45

tracking error stuff like that yeah yeah

play17:47

but based on Last 5 Years uh I share US

play17:49

tech ETF and Fidelity One actually

play17:51

perform pretty well I think about

play17:53

22% for uh 23% on average year on Bas

play17:57

Nvidia is this all Bo

play17:59

and they higher concentration in

play18:01

Microsoft right and Nvidia versus like

play18:04

Global X artificial intelligence which

play18:05

have lower concentration in each stock

play18:08

all right so some people may comfortable

play18:09

with it but the performance for Global X

play18:11

aitf I think is only like comes in about

play18:14

14% which is pretty good still okay

play18:16

right uh yeah so um so which one it's my

play18:20

favorite um the one with the lowest

play18:23

cost but you still need that decent AUM

play18:27

size uh to make sure that ETF doesn't

play18:30

close down okay okay so uh in fality I

play18:33

think they have close to 10 billion AUM

play18:35

I think is pretty sizable yeah it is

play18:38

yeah and of course if you want biggest

play18:40

one uh IA us ETF which is going to be

play18:43

more liquid for sure right we compared

play18:45

to fality and because the a size is

play18:48

about close to 16 billion yeah and

play18:50

precisely because it the global X is so

play18:54

small in terms of the fund that's why

play18:56

the expense ratio is the highest MH

play18:58

right if not the the F manager probably

play19:00

don't to do typically ETF grows bigger

play19:02

they can

play19:03

SC lower the fees if they want to so you

play19:06

know looking at all this I think is it

play19:08

easy for you to kind of like go through

play19:10

the ETS because you kind of know these

play19:13

companies yeah and you know how to

play19:14

analyze them already so that the skill

play19:17

comes in handy and I think the fact that

play19:19

we have already have our investment uh

play19:22

process and we have also spent amount of

play19:25

time that looking some of this company

play19:26

that's why when I look at sou some of

play19:27

this ETF it's a lot easier for me to

play19:30

like you know understand oh this one yes

play19:33

this one fit into the top 10 right and

play19:36

now this one there's something missing

play19:38

like I say right so how come Microsoft

play19:39

is is not inside that Global uh X AI

play19:43

right because they are the Forefront of

play19:45

AI and they're not inside yeah and this

play19:48

of course uh uh it comes from the

play19:51

framework that we already have and we

play19:53

have been uh learning right which is why

play19:55

we call it as Alpha quadrant right and

play19:58

of course with this skill set Alpha

play20:00

cordant on how we analyze companies

play20:02

actually helps us to appreciate uh

play20:05

better by selecting some of this ETF

play20:07

itself yeah yeah so it's not just about

play20:10

using so if you you're interested to

play20:11

find out more about Alpha C is actually

play20:13

open right now as of I mean I don't know

play20:15

when you're watching this video but as

play20:16

of now till the 30th of June so at 30th

play20:19

of June uh end of uh the month uh we

play20:22

open for enrollment to join Alpha CAU

play20:24

where you can learn how to use this

play20:26

investment framework to pick stocks you

play20:28

know can grow three times five times

play20:30

based on the business model and their

play20:32

growth potential so these are the things

play20:33

that we're going to look out for and at

play20:35

the same time when we learn all these

play20:36

things we can apply it to ETFs as well

play20:39

because then you can understand the

play20:40

individual components of the ETF and say

play20:42

actually that's not so good yeah or this

play20:44

is this is pretty good and then you kind

play20:46

of fit the ETF to what you actually what

play20:49

you're looking for so in the end I think

play20:50

for us uh we don't invest in any of the

play20:52

CDF okay uh we rather cherry pick some

play20:56

of these uh stocks that is going to

play20:58

benefit directly from the AI Revolution

play21:01

uh and Alpha Cordon help us to go

play21:04

through that process on analyzing those

play21:07

that company for example Microsoft when

play21:08

I analyze that Microsoft and say hey

play21:10

look this is one of the company that's

play21:12

going to benefit a lot not just NV right

play21:14

MVD of course is a direct beneficiary

play21:16

right now but over the mid to long term

play21:18

I think Microsoft will gives you that

play21:20

sustainability of earning growth right

play21:22

that going to be a big compounder over

play21:24

time right so Alpha quadrant will comes

play21:26

in and then help us to to do that right

play21:28

and that's basically uh how we use it to

play21:31

find you know companies that multiply

play21:34

over time and then we want to uh put

play21:36

more heavy weightage on these companies

play21:38

okay so yeah yeah and there zero cost

play21:40

yeah to that it's true because if you

play21:42

ETF there's some fees if you do it

play21:44

yourself basically DIY you save on fees

play21:47

uh but then you get to pick you

play21:49

basically get to pick your own ETF in a

play21:51

sense almost like you pick your own

play21:53

portfolio pick the companies that you

play21:55

want to form the ETF which is going to

play21:57

be your main portfolio so right but that

play21:59

takes effort or of course time also yeah

play22:02

so it's not something that oh you come

play22:04

in and oh you can C thatf right but it's

play22:06

a very useful skill it's a life skill

play22:08

actually so if you're interested to know

play22:09

more about Alpha Quon you do do check

play22:11

out our website alcon.com it's open

play22:13

until 30th of June uh and we open for

play22:16

enrollments and then of course you get

play22:17

to you know go through the entire course

play22:19

where we teach you this investment

play22:20

framework to find all these kinds of

play22:21

companies with growth potential and of

play22:23

course uh we also have life web classes

play22:26

correct where Victor and rusman going to

play22:27

spend an entire afternoon with you live

play22:30

online uh going through the key topics

play22:33

that you need to know come almost like a

play22:34

crash course and uh you can apply to

play22:36

your portfolio straight away right and I

play22:39

think most importantly we also going to

play22:40

share with you how do you actually

play22:41

differentiate different typ business

play22:43

model that can scale a lot more quicker

play22:45

versus this company that can't scale or

play22:48

maybe in the sunset industry okay so

play22:49

these are the things that you need to

play22:50

really learn and make sure that you

play22:52

invest in those company that is going to

play22:55

benefit uh from certain circular Trend

play22:57

okay all right and then you're going to

play22:59

see your companies grow multiply in term

play23:02

of return over time I mean this was a

play23:04

question I was going to ask you so you

play23:05

feel it's better to pick your own like

play23:07

AI stocks rather than go with an ETF um

play23:09

if I'm lazy I'll just go for the ETF

play23:12

right fality for example uh but now

play23:15

because I have that skill set knowledge

play23:17

which will be a lifetime skill that you

play23:19

be really useful and it helps me to

play23:21

appreciate why I invest in certain ETF

play23:24

uh so that is a very important skill

play23:26

right so I will still pick my own stocks

play23:29

okay right because that is like a hobby

play23:32

a passion I would say right and uh

play23:34

partly also because of the investment

play23:35

experience that we have built over time

play23:37

okay yeah would you also say that

play23:39

because maybe in the in the area of AI

play23:43

maybe it's not so clear yet cuz like you

play23:46

go if like S&P 500 oh it's established

play23:49

everyone knows if you buy that it's the

play23:50

whole almost the entire US economy but

play23:53

when it comes to a new growing sector

play23:55

like AI sometimes maybe the ETFs are not

play23:57

so clear like which one yes has the

play24:00

right Holdings you know or they not

play24:03

establish am is not big enough what do

play24:04

you think about that yeah yeah I think

play24:05

the TR record is still very short for AI

play24:08

okay AI company okay and also you must

play24:11

know that when you buy into the AI ETF

play24:13

you don't know what's the valuation

play24:15

right so at the end of the day if you

play24:17

can buy at the with whatever asset you

play24:19

can buy at a good price I think even you

play24:21

buy a l now there's still possibility

play24:23

that you make money right but if you pay

play24:25

for expensive price in terms of the

play24:27

value definitely the probability of

play24:29

losing money is very high so so at the

play24:31

end of the day you also need to learn

play24:33

how to uh look at the ETF and to see

play24:37

what's the exact value at a part of time

play24:40

yeah for individual company why we pick

play24:42

because we we know how to Value the

play24:43

company right we we do teach in Alpha

play24:46

quadrant that how how what's our

play24:47

valuation method we do and how do we see

play24:50

how do the valuation methods connects

play24:52

back to the business model the business

play24:54

situation the history the the possible

play24:56

Futures and all this so it's not just

play24:58

plain you know valuation value like that

play25:00

but you have to really link back to the

play25:02

business okay and also the management

play25:04

right how the business and management

play25:06

plays a role right will determine how do

play25:08

you value the the company yeah and why

play25:10

we look at don't look at Tesla for

play25:12

example okay okay so yeah so how do you

play25:15

calculate intrinsic value whether it's a

play25:17

good time to invest in the certain stock

play25:19

right now some some stock in the AI

play25:21

index are really expensive right some

play25:23

are not all right so this is where Alpha

play25:26

cor comes in really helps you to go go

play25:28

through that process yeah okay so just

play25:31

to summarize these are the three ETFs

play25:33

that we've like kind of like picked out

play25:35

uh i w i iyw then the ftech and then the

play25:39

aiq so I'm just giving the ticker

play25:41

symbols right now you can do you can

play25:42

check them out for yourself I think it's

play25:44

a good uh you know exercise to have a

play25:45

look at you know the ETFs you know what

play25:48

the expense ratio are the top 10

play25:49

Holdings especially because if you buy

play25:51

an ETF you actually the underlying you

play25:53

know Securities are these stocks and you

play25:55

should actually go through and actually

play25:56

understand what these companies are and

play25:57

what you're buying

play25:58

and I think the point you made about

play26:00

valuation is very important as well

play26:01

because a lot of times when people talk

play26:03

about ETF they don't seem to talk about

play26:04

valuation because I think I mean fair

play26:06

enough a lot of them have a DCA strategy

play26:08

into like the you know the that's a

play26:09

broad based index broad from thematic

play26:12

IND corre ETF sorry yeah correct so

play26:15

that's a good point because valuation

play26:17

comes into play as well yeah and then

play26:19

the question goes how do you value an

play26:21

ETF and then that actually balls down to

play26:23

how do you actually value a stock

play26:25

because that's why it is yeah so we

play26:26

actually teach all these things in Al if

play26:28

you're interested to find out about that

play26:30

as well so anything else you know you

play26:33

want to share about these uh ETFs uh

play26:36

anything else uh not really yeah okay

play26:39

yeah so again this is not a

play26:40

recommendation to buy or sell these ETFs

play26:41

you just want to pick them out so two of

play26:43

them are kind kind of the biggest ones

play26:46

in this space as well the other one AQ

play26:48

is a bit smaller uh but also pretty

play26:50

focused around yeah and stuff like that

play26:53

so go over to the lowest expense one

play26:55

yeah just when it comes to e just go

play26:57

with the cheapest I mean just the cheap

play26:59

one of uh it's a bigf as so again do

play27:03

check it out for yourself if you want to

play27:05

again no recomendation yourself and ETF

play27:07

is just one strategy to get exposure

play27:08

into a particular sector you know if

play27:10

you're not so into stock picking but for

play27:13

us we prefer stop picking in this in

play27:17

this space y yeah cuz then you can pick

play27:19

the best ones you feel fit your criteria

play27:22

yeah Y and then of course you wait for

play27:23

the right valuation as well yes all

play27:25

right okay so if that you know if you

play27:27

like this round table please hit the

play27:28

like button tell us you're doing a good

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job of course any questions put them in

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the comment section and of course uh

play27:33

check out Alpha quadrant if you really

play27:34

want to find out you know how to invest

play27:37

and you know in companies that able to

play27:38

grow three times five times over the

play27:39

next you know X number of years and how

play27:42

do you actually have an investment

play27:43

framework that teaches you how to value

play27:44

a stock do check out Alpha cant at

play27:46

alpha.com it's open until June 30th and

play27:49

then we're going to close it for the

play27:50

rest of the time and if you watch our

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videos most of the time uh our coures

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are not open most of the time we're just

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talking on a round table so when it's

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open will let you know and you can

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decide whether you want to join and

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actually learn something uh you know how

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we do all these things and everything

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that we've been sharing with you all the

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wrong tables all year round it's a skill

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is a is a skill yeah it's a skill it's a

play28:09

skill no skills future okay no skills

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Future Okay so with that uh you know

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please uh you know check it out for

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yourself and of course any questions put

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them in the comment section and

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subscribe to our Channel many more

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