The advent of new technologies impacts both positively and negatively on society, and this is no different for artificial intelligence (AI) – which has taken the world by storm over the past several months. In turn, Saxo’s Q3 Outlook takes a closer look at the current market impact of the AI theme across markets and around the world.
While Chief Investment Officer, Steen Jakobsen, admits there is “potential for generative AI to increase productivity over time”, he warns that “the market is getting ahead of itself in selecting winners, and current valuations are already discounting too much of the longer-term future gains to be had.”
On the broader macroeconomic backdrop, Jakobsen says market participants are making a mistake in believing that the current market cycle will play out like previous ones.
“After the COVID-19 pandemic, many people believe that the economy is returning to a normal path. They believe that low interest rates will continue to support growth and that a “soft landing” is possible. However, this view is naïve.”
“The economy is currently loaded with excess debt and asset valuations are at all-time highs,” he adds. “A soft landing is very unlikely in this environment and, as an economic concept, is extremely rare.”
The AI fever pushes market to new extremes
Earlier this year, markets were anticipating the economy to crumble, but the emergence of advanced AI systems has proved to be a gamechanger, says Saxo’s Head of Equity Strategy, Peter Garnry. “Around the same time of peak pessimism around the economy and bets of aggressive rate cuts, OpenAI released its GPT-4 AI system, and the year was never the same again.”
The AI-hyped rally has pushed the US equity market to new extremes, while interest in AI-adjacent industries has also intensified. Saxo says its semiconductor theme basket was up 39.8% by mid-June, while its AI theme is its most accessed equity research.
“While it is too early to call for an overall bubble, the semiconductor industry is clearly showing bubble-like behaviour, and equity valuations on semiconductor stocks are the highest since 2010, measured on the 12-month forward EV/EBITDA metric,” Garnry explains.
One of the main questions for global investors remains whether to reduce exposure to equities. However, “if the investor wants to maximise long-term wealth, an overweight exposure to equities is still the most prudent”, says Garnry.
China faces challenges from generative AI
In recent years, China’ policymakers have unveiled several strategic initiatives to propel the country to the forefront of AI innovation. Redmond Wong, Greater China Strategist at Saxo, is looking at the challenges and opportunities for China in the field of generative AI, and the impact this could have on the wider economy.
“China aims to foster a virtuous circle of economic growth through technology innovation, technology application, business model innovation, productivity enhancement, economic growth, and further investment in technology,” he explains.
However, “generative AI demands a new level of sophistication and computing power,” and “falling behind in technology innovation could disrupt this virtuous circle and result in declining productivity, ultimately hindering economic development.”
This is further threatened by ongoing geopolitical tensions, the success of generative AI breakthroughs in the United States, as well as China’s slower-than-expected economic recovery. Investors evaluating China “should acknowledge the challenges posed by generative AI, while also recognising potential investment prospects in companies poised to leverage these transformative changes.”
Japan’s riposte to aging and productivity headwinds: robots with generative AI
Saxo’s Macro Strategist, Charu Chanana, is delving into Japan’s expertise in semiconductor manufacturing and robotic integration, and is suggesting these could be the foundation of a very strong presence in AI.
Japanese equities and artificial intelligence combine the two most powerful market themes of this year: “the potential for innovation adds to the other tailwinds that are lining up for Japanese equities and brings a host of additional investment opportunities in Japan,” says Chanana. “With its history of being a leader in technological research and innovation, Japan has the potential to fill the gaps and help global semiconductor companies to de-risk as they try to move their operations away from China and Taiwan.”
What’s more, “Japan’s greatest potential could be in bringing together its success in robotics with new AI offerings to create a completely new technology that can change the face of the global economy.”
Is AI the new crypto?
Mads Eberhardt, Cryptocurrency Analyst at Saxo, is looking at how the AI fever has overtaken markets: “We see remarkable similarities between crypto and the recent rise of AI, including the seemingly one-way street of capital flowing to everything AI.”
Retail investors, in particular, will continue turning their attention to the theme, as they “enjoy markets with greater risk/reward, similar to crypto and meme stocks, in which retail investors are highly dominant,” Eberhardt says.
However, “the market will eventually reassess its projection of the near-term impact of AI, as the technology matures more slowly than expected and other challenges become evident, including regulatory uncertainty, which AI, like crypto, is likely to suffer from.”
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Artificial Intelligence, a promising gamechanger for the portfolio?
Saxo Investment Coach, Hans Oudshoorn, outlines how investors can gain exposure to Artificial Intelligence via Exchange Traded Funds that provide considerable diversification.
One way to get exposure to AI is through the ‘Magnificent Seven’ – Amazon, Alphabet (Google), Apple, Meta, Microsoft, Nvidia, and Tesla. “These companies all play a key role in the development and application of AI, but it worth remembering that the key driver of their earnings is still not AI,” says Oudshoorn. However, “investors should also recognise that investing in individual stocks is generally riskier than diversified investing through a mutual fund or ETF.”
“The key risks to consider when investing in Artificial Intelligence related stocks are naturally the market risk itself, but also the elevated equity valuation for this sector represents a key risk and could be triggered should interest rates rise further.”
Oudshoorn says growth expectations are very high for these companies which means that the upcoming Q2 earnings season poses a key test of those expectations. Most of the AI-related companies are US-based and thus there is a considerable USD risk in this theme.
