What are your key takeaways from recent investment trips?
Three key conclusions after meeting more than 50 different technology companies across the globe.
Dominic Rizzo, CFA
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I've been on the road for the past three weeks all over Asia, Korea, Taiwan, Japan, in California and in Germany, meeting with over 50 different companies, all throughout the supply chain. And there's really four key takeaways that I've learned from this trip.

Number one is that GPU spend and getting ready for the GPU build out still remains robust. AMD has cited that they think that the AI chip market will go from US$45 billion in 2023 to US$400 billion by 2027. That's a 70% CAGR. If you meet with all the supply chain companies like we just did, they're getting ready for robust growth. If I take a step back, that US$450 billion market doesn't sound that scary in the top in the context of the entire global semiconductor industry. This year, global semiconductors will be roughly US$500 billion, and I think we'll be at a trillion dollars within a decade. US$450 billion of that trillion being spent on AI chips makes logical sense to me.

The second thing that we've learned is that this may be the best memory setup I've ever seen in my career. Memory and semiconductors is a commodity. What does that mean? It doesn't mean that it's not hard to make. This is some of the hardest stuff to make in the whole world. All it means is that you could swap the vendors out and have effectively the same performance, similar to a barrel of oil coming from Saudi Arabia or the USA. Memory chip from Korea or the US usually has roughly similar characteristics. Post COVID, we under invested in the memory market because of weakness across PCs, smartphone, telco, etcetera. But now we have an under invested supply market with a surplus and surging demand that's in the form of AI. AI requires 6X the memory consumption in an AI server versus a traditional server for DRAM memory chips and I think that the memory setup looks strong from here.

The third thing we learned is that there's going to be a renaissance in the Japanese semiconductor market. Why does it make sense to manufacture semiconductors in Japan? Number 1, there's plenty of semiconductor talent in Japan. You have great companies who’ve built up a strong ecosystem in the entire industry today. The second reason is ease of travel throughout Asia. It's a lot easier to move to Japan than say, move all the way to the United States. The third reason that we think is it's got geopolitically secure supply. We've learned throughout COVID how important it is to have geopolitically secure supply. And now we're learning through AI how important it is to have geopolitically secure supply. So with all of that, I think we're going to see a renaissance in the Japanese semiconductor market.

And finally, I think that the Chinese semiconductor market is investing heavily in analog and lagging edge semiconductors for the auto and industrial industry. What does that mean? We're probably bringing on a little too much supply in that industry today. So we'll see how the incumbents react to that supply, but we got to watch it closely as supply demand dynamics are the most important thing when navigating a semiconductor cycle. That leads us to our belief that the digital semiconductor ecosystem tied to AI is more attractive than the analog system today, which is more tied to the auto and industrial world and has these potential supply chains issues bubbling up underneath the service.

Definition of Terms

Artificial intelligence (AI) is the branch of computer science involved with the design of computers, robots, programmed devices, and software applications having the capacity to imitate human intelligence and thought.

Compound annual growth rate (CAGR) is the rate of return that would be required for an investment to grow from its beginning balance to its ending balance, assuming the profits were reinvested at the end of each period of the investment’s life span.

Dynamic random-access memory (dynamic RAM or DRAM) is a type of random-access memory (RAM). All RAM types, including DRAM, are volatile memory that stores bits of data in transistors. This memory is located closer to the processor, so a computer can easily and quickly access it.

Graphic processing unit (GPU) is a secondary processor usually dedicated to performing the calculations necessary for producing computer graphics, lessening the burden on the main processor.

Magnificent Seven are Apple, Alphabet, Amazon, Meta, Microsoft, NVIDIA, and Tesla.

Price-to-earnings (P/E) ratio measures a company's share price relative to its earnings per share (EPS).

Return on investment (ROI) measures the profitability of an investment by comparing the gain or loss to its cost.

IMPORTANT INFORMATION

This material is provided for general and educational purposes only and is not intended to provide legal, tax, or investment advice. This material does not provide recommendations concerning investments, investment strategies, or account types; it is not individualized to the needs of any specific investor and not intended to suggest any particular investment action is appropriate for you, nor is it intended to serve as the primary basis for investment decision-making.

The views contained herein are as of the date written, are those of the associates noted, and are subject to change without notice; these views may differ from those of other T. Rowe Price group companies and/or associates.

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Information contained herein is based upon sources we consider to be reliable; we do not, however, guarantee its accuracy. Actual outcomes may differ materially from any forward-looking statements made.

Any specific securities identified and described are for informational purposes only and do not represent recommendations.

Risk Considerations: Past performance is not a reliable indicator of future performance. All investments are subject to market risk, including the possible loss of principal. Investing in technology stocks entails specific risks, including the potential for wide variations in performance and usually wide price swings, both up and down. Technology companies can be affected by, among other things, intense competition, government regulation, earnings disappointments, dependency on patent protection, and rapid obsolescence of products and services due to technological innovations or changing consumer preferences. Growth stocks are subject to the volatility inherent in common stock investing, and their share price may fluctuate more than that of income-oriented stocks. International investments can be riskier than U.S. investments due to the adverse effects of currency exchange rates; differences in market structure and liquidity; as well as specific country, regional, and economic developments. All charts and tables are shown for illustrative purposes only. Investments concentrating in a specific sector can be more volatile than investments in a broader range of industries. Diversification cannot assure a profit or protect against loss in a declining market.

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