By Bill Studebaker, CIO & President, ROBO Global
For some time, markets have been grappling with a handful of counteracting dynamics, including the clash between the bulls and the bears, the interplay between stimulus and inflation, and the delicate balance between growth and rate hikes. Adding to the mix in May was the US debt-ceiling conundrum and, of course, the ‘emergence’ of AI.
Despite occasional glimpses of one side pulling harder in each tug of war, it is striking just how polarized these debates remain—including the differing views on the growth outlook for robotics and AI. In my opinion, the naysayers have already lost the battle on this count. The massive growth of robots and AI is not a question but a sheer inevitability. I may sound like a broken record, but this is the message I’ve been broadcasting for the past 8 years.
Of course, the bullish narrative extends far beyond the trajectory of AI, bolstered heavily by US soft landing expectations that are underpinned by a strong labor market, improved earnings trends, and the easing regional banking stress. Still, sticky global inflation, tightening lending standards, narrow US market leadership, and an underwhelming China recovery continue to add some bearish angst to the mix. Even with the resolution of the debt-ceiling issue, it remains to be seen where equities will run—at least in the near term.
For the month of May, with artificial intelligence now on the center stage of most investors’ minds, The ROBO Global Artificial Intelligence ETF (THNQ) advanced +11.84%, while the ROBO Global Robotics and Automation Index ETF (ROBO) gained +2.10%, and the ROBO Global Healthcare Technology and Innovation ETF (HTEC) declined -4.47%. [1]
It’s remarkable that just 6 stocks—Apple (AAPL), Microsoft (MSFT), Nvidia (NVDA), Alphabet (GOOGL), and Facebook (META)—have accounted for nearly all of the S&P 500 (SPX) YTD return. But with a closer look, that news should come as no surprise. Nvidia guiding 50% above consensus was nothing short of historic as the chipmaker is on the cusp of the trillion-dollar club, while the others, all strong tech companies with relatively long histories of success, continue to rise with the tide. While the AI boom has clearly become a secular growth tailwind, it is worth noting that there are still areas of weakness even within tech.
Over the past few years, we’ve discussed the impact of all forms of AI in areas such as autonomous vehicles, computer vision, and collaborative robots. Today, the market is more narrowly focused on generative AI, of which ChatGPT is arguably the most well-known example. Generative AI is capable of creating, classifying and condensing content including text, image and audio. It is also used to generate ‘synthetic data’—new artificial data based on key facets within a smaller sample of real data, that is typically used to accelerate the training of other AI programs and avoid potential issues around privacy that arise when using primary data. The capabilities of generative AI are advancing at a remarkable pace. The costs of developing and training models today typically run to many millions of dollars, but open-source models are gaining ground and are expected to drive rapid adoption of this key technology. Concurrently, synthetic data could empower start-ups to challenge incumbents whose historical data repositories are perhaps less of a moat now than once seemed the case. This may mean some of the anticipated cost savings made above need to be re-invested.
Given the growing importance of AI, the call for investors to take advantage of this megatrend is becoming especially urgent. Generative AI’s ability to augment core processes within AI models will have a direct impact on the pharmaceutical, manufacturing, media, architecture, interior design, engineering, automotive, aerospace, defense, medical, electronics, and energy industries. And its ability to improve business processes across organizations will impact marketing, design, corporate communications, training, and software engineering. Gartner Research (among many others) clearly sees the writing on the wall. Its near-term predictions [2] paint a clear picture of the massive impact that lies just ahead:
In our view, the breadth of Gartner’s predictions places general purpose technology (GPT) status on generative AI on par with the impact of the printing press, electricity, railroads, and even the internet. As with these earlier innovations, generative AI is likely to have a significant effect on the labor market. For investors ready to make the most of this incredible shift, our THNQ ETF offers diversified access across the value chain of artificial intelligence.
Eight years ago, ROBO Global was an outlier. We, too, saw the writing on the wall—though earlier than many who lacked the deep knowledge and insights into the world of automation, robotics, and AI. Today, even in the thick of a turbulent economic and market environment, our strategies are poised to help investors take advantage of what has ‘suddenly’ become an undeniable and momentous paradigm shift driven by these vital technologies.
ROBO Top Ten Holdings, HTEC Top Ten Holdings, THNQ Top Ten Holdings
SOURCES:
1 Source: ROBO Global®, S&P CapitalIQ
2 “Beyond ChatGPT: The Future of Generative AI for Enterprises,” Gartner, January 26, 2023
Fund holdings and standard performance can be found in the ETF links provided in the fourth paragraph. The performance data quoted represents past performance and is no guarantee of future results. Investment return and principal value of an investment will fluctuate so that an investor's shares, when sold or redeemed, may be worth more or less than the original cost. Current performance may be lower or higher than the performance data quoted. Holdings are subject to change. Indices are unmanaged and do not include the effect of fees. One cannot invest directly in an index.
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Investing involves risk, including the possible loss of principal. International investments may also involve risk from unfavorable fluctuations in currency values, differences in generally accepted accounting principles, and from economic or political instability. Emerging markets involve heightened risks related to the same factors as well as increased volatility and lower trading volume. Narrowly focused investments and investments in smaller companies typically exhibit higher volatility. There is no guarantee the funds will achieve their stated objective. ROBO, HTEC, and THNQ are non-diversified.
The liquidity of the A-shares market and trading prices of A-shares could be more severely affected than the liquidity and trading prices of other markets because the Chinese government restricts the flow of capital into and out of the A-shares market. The funds may experience losses due to illiquidity of the Chinese securities markets or delay or disruption in execution or settlement of trades.
The risks associated with investments in Robotics and Automation Companies include, but are not limited to, small or limited markets for such securities, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation. Robotics and Automation Companies, especially smaller, start-up companies, tend to be more volatile than securities of companies that do not rely heavily on technology. Rapid change to technologies that affect a company's products could have a material adverse effect on such company's operating results. Robotics and Automation Companies may rely on a combination of patents, copyrights, trademarks and trade secret laws to establish and protect their proprietary rights in their products and technologies. There can be no assurance that the steps taken by these companies to protect their proprietary rights will be adequate to prevent the misappropriation of their technology or that competitors will not independently develop technologies that are substantially equivalent or superior to such companies' technology.
The risks associated with Artificial Intelligence (AI) Companies include, but are not limited to, small or limited markets, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation. Rapid change to technologies that affect a company’s products could have a material adverse effect on such company’s operating results. AI Companies also rely heavily on a combination of patents, copyrights, trademarks and trade secret laws to establish and protect their proprietary rights in their products and technologies. There can be no assurance that the steps taken by these companies to protect their proprietary rights will be adequate to prevent the misappropriation of their technology or that competitors will not independently develop technologies that are substantially equivalent or superior to such companies’ technology. AI Companies typically engage in significant amounts of spending on research and development, and there is no guarantee that the products or services produced by these companies will be successful.
The risks associated with Medical Technology Companies include, but are not limited to, small or limited markets for such securities, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation.
Diversification may not protect against market risk.
Beginning September 2, 2020, market price returns are based on the official closing price of an ETF share or, if the official closing price isn't available, the midpoint between the national best bid and national best offer (“NBBO”) as of the time the ETF calculates current NAV per share. Prior to September 2, 2020, market price returns were based on the midpoint between the Bid and Ask price. NAVs are calculated using prices as of 4:00 PM Eastern Time. The returns shown do not represent the returns you would receive if you traded shares at other times.