The Canadian stock market, represented by the TSX 60 index, has demonstrated robust performance throughout the year, outperforming its U.S. counterpart, the S&P 500, in several key periods. As of mid-November, the TSX 60 had delivered close to a 16% return, surpassing the S&P 500’s approximately 11% gain. This divergence becomes even more pronounced when examining the past six months, a period that saw the fervor surrounding the "AI trade" in the U.S. begin to temper. During this timeframe, the TSX 60 achieved returns of about 9.5%, while the S&P 500 managed only 2.8%. This stark contrast has led many investors and financial advisors to question whether Canada’s less tech-centric market offers a viable hedge against the volatility inherent in the dominant artificial intelligence sector.
A superficial analysis of these indices reveals a significant difference in their sectorial compositions. The S&P 500, a benchmark for the U.S. equity market, boasts a technology sector that constitutes roughly 37% of its weighting. Furthermore, major technology players like Amazon are categorized within the consumer discretionary sector, further amplifying the market’s exposure to tech-related trends. In stark contrast, the TSX 60, Canada’s primary large-cap equity index, has a technology sector that represents a mere 10% of its composition. This disparity suggests that when the technology sector experiences turbulence, U.S. markets are more acutely affected, while Canada appears relatively insulated. This was evident on Thursday, November 5th, when the S&P 500 endured its worst trading day of the year, shedding approximately 4.2%. On the same day, the TSX 60 experienced a more moderate decline of 2%, less than half the losses seen in its U.S. peer.
This performance differential naturally raises a crucial question for investors and their advisors: does Canada’s recent outperformance, coupled with its lower technology exposure and higher concentration in "value" oriented equities such as financials, energy, and materials, position it as an effective hedge against the AI trade that has largely dictated equity market movements?
Distinguishing Between AI as an Investment Theme and an Economic Force
Dylan Bredo, CFA, MBA, Partner at Bilyk Financial in Edmonton, offers a nuanced perspective, emphasizing the critical distinction between Canada serving as a hedge against declining AI stock prices versus it being a hedge against a slowdown in AI spending. "The important piece to understand is that Canada might be a hedge against AI stocks getting cheaper," Bredo explained. "It is not a hedge against AI spending slowing down. And those two aspects are really important to distinguish and understand." He further elaborated that whether Canada offers effective protection hinges on whether the observed market shifts are driven by a change in investor expectations or a fundamental alteration in AI investment itself.
Bredo’s analysis underscores the importance of differentiating between AI as a speculative investment theme that has propelled the valuations of global tech giants and the AI infrastructure buildout as a tangible economic driver. While he does not necessarily foresee an immediate end to the AI trade, he highlights potential risks to AI-related stocks against which certain Canadian companies could indeed offer a hedge.
Canada’s Exposure to the AI Ecosystem: A Tale of Two Perspectives
Canadian companies, according to Bredo, could stand to benefit from a potential shift in investor sentiment away from growth-oriented technology stocks towards more value-driven sectors. This shift might be prompted by increasingly challenging earnings comparisons for technology companies, compelling investors to seek out sectors and firms with more stable and predictable earnings trajectories.
However, Bredo cautions that if the impact of AI extends beyond stock valuations and begins to influence the massive AI infrastructure buildout, a broader segment of the Canadian stock market could become exposed. The ongoing construction of data centers, which are the backbone of AI development and deployment, requires substantial investments in energy, minerals, and industrial equipment. These are precisely the sectors where Canadian markets hold significant representation. Bredo points to Celestica, a Canadian-listed company involved in various aspects of this ecosystem, as an example. In the wake of the AI trade’s recent pullback over the past six months, Celestica’s share price has seen a decline of over 30%, reflecting heightened investor concerns regarding the pace and sustainability of the AI buildout.
Garey Aitken, Head of Canadian Equities at Franklin Templeton’s ClearBridge Investments, shares a similar outlook, albeit with a slightly different emphasis. He believes that despite potential short-term adjustments in the pace of AI infrastructure development, perhaps influenced by geopolitical events or shifts in regulatory landscapes, the fundamental economics of sustained demand for AI services will continue to fuel data center construction. Like Bredo, Aitken acknowledges the presence of both "AI pure-play winners and losers" within the Canadian market. He concurs that Canadian exposures might indeed offer a hedge against some of the "froth" observed at the higher echelons of the U.S. market. Nevertheless, he stresses that many Canadian companies are intrinsically linked to the AI narrative. Furthermore, he warns that a significant correction in U.S. equities, irrespective of its cause, would likely have considerable contagion effects on the Canadian market due to the deeply interconnected nature of global financial systems.
Navigating the Market: Strategies for Maximizing Canadian Equity Exposure
For discretionary portfolio managers like Bredo and his team at Bilyk Financial, a stock-picking approach is often more effective in achieving targeted results than relying on broad index-based strategies to hedge against specific market themes. This is particularly true during periods of significant rotation from growth to value stocks, as earnings multiples are seldom the sole determinant of a value stock’s appeal. Canada offers a diverse array of companies that can be strategically selected to hedge against AI-related market fluctuations, although Bredo notes that similar opportunities can also be found within the U.S. market.
Aitken concurs that both passive and active management strategies can play a vital role during a broad rotation from growth to value. He observes that the recent heavy concentration in "hypergrowth" names has generally favored active managers. However, he anticipates that a broadening of market performance across various sectors should ultimately benefit active managers who can identify undervalued opportunities.
While the recent outperformance of Canadian indices, coupled with lingering questions about the sustainability of the AI trade and a degree of nationalistic sentiment, might tempt some investors to increase their domestic bias, Bredo advises caution against a wholesale return to solely Canadian investments. He argues that while Canada is home to some of the world’s leading companies, many equally compelling investment opportunities are listed internationally. Therefore, he advocates for advisors to prioritize the resilience and diversification of their clients’ portfolios over a rigid geographical allocation based on specific investment themes.
Aitken characterizes Canada’s market performance over the past several years as "sneaky good," suggesting that its relative attractiveness compared to other global markets could indeed spur increased investor interest. However, he tempers this optimism by pointing to the high earnings multiples of Canada’s major banks and the fact that the strong performance of energy and mining stocks has been significantly influenced by external factors such as the conflict in the Middle East and a historic surge in gold prices.
"The question is, what do we do for an encore? I think people have to be careful, it’s not as easy as playing the winning hand that we saw more recently," Aitken stated. "I think that the worst thing for people to do would be to be making big swings with country allocations… Canada’s still got a role to play, the question of non-correlation and whether when something happens in the U.S. you benefit from some Canadian exposure and vice versa, that’s as relevant as ever. But people should make sure they have their heads screwed on straight and not chase the last long-term winner in terms of country allocations."
The Underlying Mechanics of AI Investment and Infrastructure
The surge in AI stocks has been predominantly driven by companies involved in developing and selling the foundational technologies that power artificial intelligence. This includes semiconductor manufacturers producing advanced chips essential for AI computations, software companies developing AI algorithms and platforms, and cloud service providers offering the computational power and storage necessary for AI training and deployment. The "AI trade" has largely been concentrated in these specific areas, leading to extraordinary valuations for a select group of companies.
However, the broader economic implications of AI extend far beyond these core technology providers. The development and widespread adoption of AI necessitate a significant buildout of physical infrastructure. This includes:
- Data Centers: Massive facilities designed to house the servers, storage, and networking equipment required for processing and storing vast amounts of data. These centers are power-intensive and require significant land, construction, and ongoing maintenance.
- Energy Infrastructure: The demand for electricity to power data centers is astronomical, driving investment in power generation, transmission, and distribution. This can benefit traditional energy companies, renewable energy providers, and companies involved in energy efficiency technologies.
- Materials and Mining: The construction of data centers, servers, and networking equipment requires a substantial supply of raw materials, including copper, aluminum, rare earth elements, and specialized minerals. This directly impacts the mining sector.
- Industrial Equipment and Manufacturing: The construction and equipping of data centers involve a wide range of industrial machinery, construction services, and specialized manufacturing capabilities. Companies providing these goods and services can see increased demand.
- Telecommunications: The efficient transfer of data to and from data centers relies on robust and high-speed telecommunications networks, creating opportunities for companies in this sector.
Historical Context and Market Dynamics
The current AI-driven market surge echoes historical technological revolutions, such as the dot-com bubble of the late 1990s. During that period, speculative investment poured into internet-related companies, leading to inflated valuations and a subsequent market crash. While the underlying technology was transformative, many individual companies failed to deliver on their initial promises.
The current AI boom, however, is underpinned by more tangible and immediate applications across various industries, from healthcare and finance to manufacturing and entertainment. This suggests a potentially more sustainable trajectory, though the rapid pace of innovation and the sheer scale of investment create inherent volatility.
The relative underperformance of the TSX 60 in the pure tech sector, compared to the S&P 500, can be attributed to the historical composition of Canadian indices, which have traditionally been weighted towards natural resources, financials, and industrials. While this has provided a degree of stability, it has also meant that Canada has not been at the forefront of the recent tech-driven growth spurt.
Broader Implications and Investor Strategies
The current market environment presents a complex landscape for investors. The potential for AI-related stocks to experience corrections, coupled with the steady demand for the infrastructure supporting AI, creates opportunities for diversification and hedging.
- Diversification: Investors seeking to mitigate risk associated with the AI trade might consider diversifying their portfolios to include sectors less directly exposed to the high-growth technology companies, such as utilities, consumer staples, and healthcare.
- Value Investing: As highlighted by Bredo, the appeal of value-oriented equities, prevalent in Canada’s market composition, could increase as investors re-evaluate growth prospects and seek more stable earnings.
- Infrastructure Plays: Companies involved in the construction, energy, and materials sectors that are essential for the AI buildout could offer a more indirect but potentially stable exposure to the AI theme.
- Active Management: In periods of market rotation and sectorial shifts, active managers with a deep understanding of company fundamentals and industry dynamics can potentially identify undervalued opportunities and navigate market volatility more effectively.
The narrative surrounding Canada as an "anti-AI" trade is likely an oversimplification. While its market composition may offer a degree of insulation from the direct volatility of AI-focused tech stocks, many Canadian companies are indirectly tied to the AI ecosystem through their roles in infrastructure development. Furthermore, the interconnectedness of global financial markets means that a significant downturn in the U.S. would inevitably impact Canada. Therefore, a nuanced approach that considers both direct and indirect exposures, alongside broader diversification strategies, will be crucial for investors navigating this evolving market landscape. The resilience of portfolios, rather than a rigid adherence to geographical allocations, should remain the paramount objective.
