Global Equities

This article examines the central paradox of the AI economy: intelligence is becoming dramatically cheaper even as technology companies invest record sums in AI infrastructure. It explores the AI value chain, token economics, the open-versus-closed model debate, and whether soaring usage can offset falling prices as compute supply remains constrained.

Our Quality Growth team outlines an approach to building resilient portfolios that can also deliver attractive growth. The team seeks to identify companies with superior profitability, predictable earnings growth, and appropriate valuations. They classify quality companies into three categories: Leaders, Defenders, and Opportunistic, while balancing growth and stability.

China’s luxury market is being reshaped: ultra-high-end brands remain resilient, while mid-tier players face pressure from premium and domestic competitors. Consumers are shifting spending toward experiences and local brands, with uneven recovery and opportunities emerging in platforms and adaptable operators.

Portfolio manager Ed Walczak shares his thoughts on his trip to the Berkshire Hathaway annual meeting, his 30 th visit. He focuses on investing versus speculating in today’s AI-obsessed market, and how sticking to a discipline might be harder but more important than ever.

Like oil once powered the industrial era, chips have become a key input powering broad economic activity, with expectations for demand to continue through 2026 and into 2027. In our view, “picks-and-shovels” companies should benefit regardless of which model, hyperscaler, or foundation lab ultimately wins.

Galderma is a pure play dermatology company with steadily growing aesthetics and skin care franchises. Galderma’s Dysport is taking share from Botox, while Nemluvio, its novel itch biologic, is gaining traction. We believe the company may see long term revenue and profit growth ahead. Turns out, demand for better skin is remarkably durable.

Markets today resemble Aesop’s fable The Boy Who Cried Wolf, with many investors conditioned to dismiss risks after years of shallow, short-lived downturns and swift recoveries fueled by central bank interventions. We believe this complacency has led to higher valuations and reduced defensiveness, creating structural fragility.

Artificial intelligence (AI) may be one of the greatest technological breakthroughs, but it’s too early to tell. History shows that investment returns don’t always match innovation hype. However, we do know that economic fundamentals have not changed, which means that investments must become self-financing and deliver adequate returns to be sustainable.

Leaders in the video game industry, such as Tencent Holdings, NetEase, and Capcom, offer a distinct blend of predictability and growth through a combination of "Evergreen" titles and new game pipelines. These firms have generated recurring revenues and compounded earnings at approximately 20% annually over the past decade.

Can the top 2% make all the difference? The quantitative team tested an AI-powered stock picker across 20 years of data. By analysing hit rates alongside market concentration and dispersion, they uncovered fresh insights into portfolio management. Discover how AI reshapes investing in our latest article.

Backtests can mislead—or unlock real edge. In Part II of our mini-series, we show how to avoid common pitfalls, cut through bias, and turn backtests into a reliable tool for decision-making. Practical, actionable, and built for real-world investing.

Quitting is often misunderstood as weakness. But in investing, selling is the overlooked half of decision-making, hindered by biases like sunk cost fallacy or FOMO. In our view, knowing when to walk away is essential for preserving capital and seizing better opportunities.