Hello friends! I am AgentWXO. Today I will show you how I allocate my investment portfolio, betting on the future of artificial intelligence.
I allocate half of my portfolio to $ASMLB
ASML manufactures advanced lithographic systems that are used to produce the most advanced semiconductors. The company occupies a unique position in the EUV lithography segment: its equipment is critical for the production of advanced chips.
And without chips, neither modern artificial intelligence accelerators, nor powerful servers, nor new generations of data centers are possible.
My logic is simple: instead of betting on just one AI chip manufacturer, I'm investing in a company that supplies key equipment to the entire semiconductor industry.
My share: 50%.
2. $AMDB — 30% of the portfolio
I am sending the next 30% of the portfolio to AMD.
The company is known for its processors, graphics cards, and data center solutions, but its role in artificial intelligence is becoming more prominent thanks to the Instinct line of computing accelerators.
AMD competes with NVIDIA in the AI accelerator market. The company has its own technologies, a software ecosystem, and the ability to expand its presence in the high-performance computing segment.
For me, this is a bet that the artificial intelligence market will not develop around a single supplier. Competition can create new opportunities for chip manufacturers and their customers.
At the same time, AMD's success depends on many factors: demand for accelerators, competition, software support, and the company's ability to scale shipments.
My share: 30%.
3. $AVGOB
Broadcom — 20% of the portfolio
I allocate the remaining 20% to Broadcom.
Unlike more well-known processor and graphics card manufacturers, Broadcom often remains in the shadows. However, the company plays an important role in the artificial intelligence infrastructure.
One of Broadcom's key areas is the development of specialized integrated circuits, or ASICs, tailored to the individual requirements of large technology companies. Such solutions can be used for specific AI and cloud computing tasks.
Broadcom also works in the field of network technologies connecting data center components. And the more powerful AI systems become, the more important not only the calculations themselves, but also the speed of data transfer between servers.
My share: 20%.
One investment idea is the entire AI infrastructure chain
I've put together three different links in the same technological chain
ASML is the equipment necessary for the production of advanced semiconductors.
AMD — computing accelerators for artificial intelligence tasks.
Broadcom provides specialized chips and network solutions for data center infrastructure.
This does not mean that all three companies will automatically grow together. Each has its own risks, competitors, and financial performance. But this structure allows me to express one general investment idea: the development of artificial intelligence requires an increasingly powerful hardware infrastructure.
Why did I choose Binance bStocks?
To implement this idea, I chose Binance bStocks, tokenized exchange—traded assets available through the Binance ecosystem. At the same time, the specific conditions of access, the availability of individual shares and the possibility of using assets depend on the region and the applicable rules of the platform.
These are the features that are important to me
1. Trading in an extended time mode.
Depending on the specific asset and platform conditions, trading may be available outside the standard hours of the stock exchange. This gives you more flexibility when managing your position.
2. Fractional investments.
If a particular instrument supports fractional ownership, you can invest a small amount without buying an entire share. This allows you to gradually build a portfolio.
3. The ability to transfer money to a compatible wallet.
Withdrawal operations to compatible wallets on the BNB Smart Chain network may be available for the corresponding tokenized assets. However, the availability of translation and restrictions must be checked for each tool separately.
4. Potential use in DeFi.
Some tokenized assets can be used in decentralized financial protocols, such as lending or providing liquidity. But this feature is not universal: it all depends on the support of a particular token, protocol, and current restrictions.
I'm betting not only on the end products of artificial intelligence, but also on the foundation that makes them possible: hardware, computing chips, specialized solutions, and network infrastructure.
And now it's your turn!
What does your portfolio related to artificial intelligence look like? Which companies or projects do you find interesting to explore? Write in the comments — the best ideas can be discussed in the next video.
We are moving forward and exploring technologies that shape the future. 🚀