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Pimco's Top-Performing 60/40 Fund Bets AI's Next Winners Are In Asia, From Chips To Rare Earths
Emmanuel Sharef, who oversees Pacific Investment Management Co.'s flagship Balanced Income and Growth Fund, spoke with Bloomberg about how the next leg of the artificial-intelligence boom could be concentrated in Asian stocks and beyond.
Wealthy clients in Taiwan, Hong Kong, Singapore, and mainland China have been piling into the $19 billion fund, which has outperformed 97% of its peers during the past three years.
The fund is underweight most hyperscalers and members of the Magnificent Seven as soaring AI capital expenditures increase debt loads, pressure free cash flow, spark credit concerns, and make already eye-popping valuations much harder to justify.
"We're underweight the majority of hyperscalers at the moment and we're underweight the majority of the Mag seven just given their high valuations," Sharef told the outlet earlier this week.
He continued, "You don't necessarily need to own the most expensive stocks to capture a particular theme or a particular market trend."
The 60/40 Balanced Income and Growth Fund has been moving further down the supply chain toward companies that build data center components and has become overweight in Asia, where it sees stronger earnings growth, cheaper valuations, and greater exposure to the companies that should be viewed as the building blocks of a data center.
That infrastructure includes semiconductor components, cooling systems, cable interconnects, optical equipment, power supplies, construction machinery, and industrial metals.
"The AI capex build-out is enormous," he said. "It would imply significant demand for semiconductor components for chips, cooling equipment, cable interconnects, optical equipment, power supplies, construction equipment, metals, all of the things that go into building a data center."
The fund's 60% stock allocation gained exposure to AI last year by plowing billions of dollars into firms such as Samsung Electronics, SK Hynix, and Taiwan Semiconductor Manufacturing.
Sharef also highlighted a theme we've been developing: the importance of exposure to mining and materials companies tied to data-center construction and global rare-earth supply chains.
"Chinese resource extraction and materials companies are quite significant, not just for the data center buildup, but also for rare earths," he added.
Sharef's call to gain exposure to rare earths and critical materials reinforces a theme we have been developing: the AI trade is ultimately constrained by access to the physical inputs required to build chips, data centers, and power infrastructure. Rare earths and other critical materials are becoming a crucial component of the next AI trade as Chinese suppliers restrict some shipments to the US and US companies accelerate efforts to secure alternative sources beyond Beijing's reach.
The takeaway from Sharef's conversation with Bloomberg is that the next AI winners will be on an ex-US basis, mostly in Asia.
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AI Tax Increases Are Like The Tractor Tax Proposals Of Old
Authored by Bruce Thompson via RealClearMarkets,
President Ronald Reagan famously described Washington politicians' solutions to every problem as "if it moves, tax it." That is exactly what many in Washington today want to do with artificial intelligence.
As Wall Street Journal chief economic commentator Greg IP wrote recently, a growing number of experts believe there is "a simple answer to AI job losses." Tax it. His column described a petition signed by 1,000 economists, including 17 Nobel laureates, pleading for higher taxes on AI to prevent "large scale" job losses.
Reagan knew what he was talking about. He grew up in the Midwest in a small town surrounded by farms, and he surely remembered a time when politicians wanted to tax tractors, a new technology driving change. In the early 1900s, the tractor was revolutionizing farming, and politicians were pushing proposals to tax the tractor and prevent the loss of farm jobs. Rep. Willian Connery, a Massachusetts Democrat and Chairman of the House Labor Committee, was a leading advocate of taxing tractors and other labor-saving machines to stop mass unemployment.
The introduction of tractors was the most revolutionary change in our history, affecting millions of jobs and driving millions off the farm. Between 1910 and 1960, nearly 10 million farm workers lost their jobs and 25 million people left their farms for the city. The benefits of the tractor were enormous. Farm production soared, food prices dropped, and the U.S. provided enough food to feed people around the world.
The farm revolution transformed the American economy, creating growth, and increasing prosperity. Millions of farm workers were freed from back-breaking labor and found better jobs in the city. An NBER study called tractors the "engine of growth" and estimated they doubled per-capita GDP and created millions of jobs.
AI promises a bright future of technological and scientific progress, increased productivity, and a more prosperous economy. Like many changes in the past, there are concerns about the impact on jobs. But taxing AI would be just like taxing tractors, a futile knee jerk reaction to change.
Not surprisingly, there is no shortage of terrible tax ideas floating around Washington. Senator Bernie Sanders has proposed a 50% tax on the equity of AI companies. Senators Elizabeth Warren and Ron Wyden have proposed new taxes on data centers. House Democrats have proposed a new tax on AI computing powers, and others have proposed a tax on robots. If it moves, they want to tax it.
None of these tax increases are a good idea. Raising taxes on AI would slow investment, curb innovation, and only help our foreign competitors. Just like a tractor tax, a new AI tax would only slow new technological advances that will benefit everyone.
Rather than taxing AI, Washington should focus on assisting those jobs which have been most affected by automation, such as entry-level jobs. Congress should consider targeted tax incentives for entry-level employment, including payroll tax relief and job training for junior workers. Helping young workers get started is a much better response to the AI revolution than trying to stop it with a tax increase.
Bruce Thompson was a U.S. Senate aide, assistant secretary of Treasury for legislative affairs, and the director of government relations for Merrill Lynch for 22 years.
Tyler Durden Fri, 09/04/2026 - 20:55