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DeepSeek, Weak Outlooks Drag on IT Companies in Emerging Markets

High-quality stocks had a very poor first quarter in Emerging Markets (EMs), primarily due to by Information Technology (IT) stocks, which also tend to trade at higher valuations. Stocks in the top third of quality underperformed the lowest third by close to 15%, the kind of sharp sell-off last seen four years ago when companies were still coming out of the depths of the COVID-19 pandemic.

Within the IT sector, semiconductor and other hardware stocks linked to the AI value chain sold off sharply after Chinese AI-startup DeepSeek released a large language model that rivaled the leading models at a fraction of the training cost, raising concerns that AI-related capex spending may drop.

Additionally, shares of IT-services companies were also weak. Most reported fourth-quarter earnings in line with expectations but provided disappointing guidance for 2025, quashing hopes of an acceleration in demand this year. Of course, additional trade-related uncertainty has skyrocketed since the end of the first quarter as global markets convulsed sharply in the wake of Trump’s tariffs in early April (with North America being a large market for many EM-based IT companies).

Still, despite the short-term uncertainty, the advancement of new technologies has increased the long-term opportunities for high-quality and fast-growing EM IT companies.

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Stop Making Sense: Echoes of Emerging Markets in Today’s US Policy

I…who took the money?
Who took the money away?
…it’s always showtime
Here at the edge of the stage
I, I, I wake up and wonder
What was the place, what was the name?
We wanna wait, but here we go again…

-Talking Heads, from the film Stop Making Sense

 

The following is adapted from our first-quarter report for the International Equity strategy. Click here to read the full report.

This quarter, global investors have had to grapple with heightened US policy uncertainty, most overtly in the realm of trade but in many other areas as well, from military cooperation to health care to the previous administrations’ industrial policy programs. As we cautioned in our fourth quarter 2024 letter, the US political climate has featured policy volatility almost from the outset of the Trump administration. But that chaos has been greater than we imagined, and the vectors of policy shifts have expanded beyond the “tariffs, tax cuts, and deportations” list that we expected.

Ex US Marks the Spot: Where future returns might be heading

Over the last 14 years, a powerful narrative around the exceptionalism of US equity markets took root. Dominant tech stocks, prolonged low interest rates, and economic stability led to higher returns for US stocks and caused many investors to question the necessity of international allocations. However, the tide has shifted in 2025; international equities have outperformed. Watch Portfolio Specialists Ray Vars, CFA, and Apurva Schwartz discuss the recent shift in market leadership and what the next decade might hold for global equity markets.

The transcript, lightly edited for clarity, follows.

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DeepSeek Rattles Markets But Not the Outlook for AI

A one-year-old artificial-intelligence (AI) startup born out of a Chinese hedge fund released a powerful AI model on January 20 that is challenging investors’ assumptions about the economics of building such systems.

R1, as the model is called, is an open-source, advanced-reasoning model—the kind that is designed to mimic the way humans think through problems. It was developed by DeepSeek, whose founder, Liang Wenfeng, reportedly accumulated 10,000 of NVIDIA’s graphics processing units (GPUs) while at his quantitative hedge fund, which relied on machine-learning investment strategies. The kicker: DeepSeek says it spent less than US$6 million to train the model that was used as a base for R1—a fraction of the billions of dollars that Western companies such as OpenAI have spent on their foundational models. This detail stunned the market and walloped the share prices of large tech companies and other parts of the burgeoning AI industry on January 27.

The knee-jerk reactions are a reminder that we are still in the early stages of a potential AI revolution, and that no matter the conviction some insiders and onlookers may seem to have, no one knows with certainty where the path will lead, let alone how many twists and turns the industry will encounter along the way. As more details become available, companies and investors will be able to better assess the broader implications of DeepSeek’s achievement, which may reveal that the initial market reaction was overdone in some cases. However, should DeepSeek’s claims that its methods lead to dramatic improvements in cost efficiency be substantiated, it may actually bode well for the adoption of AI tools over time.