🚨MAJOR BUY: Best Quantum Computing ETF on the Planet 📈
Summary
Nolan introduces quantum computing as an emerging technology with the potential for significant returns, drawing parallels to the semiconductor industry's growth with ETFs like SMH. He explains the necessity of quantum computing due to the limitations of classical computers in solving extremely complex problems, such as optimizing global supply chains, financial risk modeling, and advanced cryptography. Quantum computers use qubits, which can represent complex mixes of zero and one simultaneously, unlike traditional bits. Nolan emphasizes that while this technology is high-risk, as many companies in this space are pre-profit and in the research stage, it has the potential for explosive growth similar to AI once mass adoption begins.
He then discusses several ETFs:
Nolan concludes by reiterating WQTM as his top pick specifically for quantum computing due to its aggressive, concentrated exposure to pure-play quantum stocks, despite its short track record.
Mentioned Stocks
Reasoning: Nolan introduces DRAM as a pure memory ETF, specifically targeting the dynamic random access memory (DRAM) and NAND storage industry. He characterizes it as a "picks and shovels" play on the AI boom, noting that large language models and data centers require massive amounts of high-speed memory. The ETF is highly concentrated with 10 to 20 holdings in dominant global memory producers like Micron, Samsung, and SK Hynix, purposefully excluding chip designers like Nvidia or AMD. Nolan states he has been "eyeing it as well" and suggests it as a "very solid move" for investors already in AI-related semiconductors.
Reasoning: Nolan notes that QTUM is the most cited and liquid quantum ETF, tracking the BlueStar Quantum Computing and Machine Learning Index, which includes both pure plays and companies building specialized chips. It has seen an average return of 25% per year since inception (8 years ago) and 80% in the last year. However, he expresses "pause" because many of its top holdings are not pure-play quantum companies, leading to significant overlap with broader tech ETFs like QQQ, SCHG, or VGT, implying it's not the best pure-play quantum investment.
Reasoning: Nolan highlights WQTM as his favorite pick for quantum computing due to its aggressive exposure to pure-play quantum pioneers such as IonQ, Rigetti, and D-Wave, which constitute over 40% of the fund's total weight. He acknowledges its short operational history (less than a year), which he usually dislikes, but finds it acceptable given the nascent stage of quantum technology itself. He prefers WQTM for its concentrated bet on the quantum sector and its minimal overlap with other high technology ETFs like VGT, QQQM, or SCHG, making it a "high risk, but hopefully high reward" option.
Reasoning: Nolan describes WTAI as an ETF focused on the broader artificial intelligence value chain, with quantum computing included as a supporting innovation for more powerful AI development. The fund is up over 90% in the last year. Its key holdings include Amazon, Google, Micron, Samsung, and SK Hynix. Nolan states that WTAI, being heavily weighted towards semiconductor giants, will be less volatile than a pure quantum fund but will not capture the full "moonshot potential" if a quantum-only company like D-Wave experiences a massive breakout.
Reasoning: Nolan identifies QANT as one of his two preferred UCITS quantum ETFs, primarily targeted at European and international investors. He praises it for having a high percentage of actual quantum computing companies within its holdings, including IonQ, D-Wave, Rigetti, IBM, and Intel, making it a true quantum computing fund. He notes US residents would face tax complications and need specialized brokerages, but considers them very solid funds.
Reasoning: Nolan identifies QNTM as one of his two preferred UCITS quantum ETFs, primarily targeted at European and international investors. He praises it for having a high percentage of actual quantum computing companies within its holdings, including IonQ, D-Wave, Rigetti, IBM, and Intel, making it a true quantum computing fund. He notes US residents would face tax complications and need specialized brokerages, but considers them very solid funds.
Reasoning: Nolan presents ARTY as an ETF that blends AI and quantum computing exposure, positioning it as a "safer bet" for those not wanting to go "all in on quantum" due to AI's proven growth. The fund is up almost 100% in the past year. While it offers incidental quantum exposure through companies like IonQ, D-Wave, and Rigetti Computing, its largest holdings are major tech giants driving AI and cloud-based quantum services, such as IBM, Google, Microsoft, and Nvidia, indicating a heavier weighting towards AI infrastructure.