
This article first appeared in Capital, The Edge Malaysia Weekly on June 29, 2026 - July 5, 2026
INVESTORS who have piled into chipmakers, data centres (DCs) and hyperscalers in the pursuit of gains from the artificial intelligence (AI) boom may not be aware of where the next wave of returns will come from.
While AI remains a transformative force with the potential to reshape economies and industries, markets may have become overly concentrated in the most visible beneficiaries of the technology revolution, says French asset management group Amundi.
Amundi, Europe’s largest asset manager with €2.4 trillion (RM11.3 trillion) under management, sees longer-term opportunities in the infrastructure underpinning AI’s expansion — electricity grids, copper, critical minerals, industrial automation and robotics — as well as companies that use the technology to improve productivity rather than those building the underlying large language models.
“Overall, our view is that AI or tech is meaningful for society at large and companies … We are not saying it’s not important, but the value will not be where the market is thinking it will be,” Amundi group chief investment officer Vincent Mortier tells The Edge on the sidelines of the Amundi World Investment Forum 2026 in Paris.
“It would be better to invest in the people who will adopt AI to transform themselves rather than in hyperscalers or chipmakers,” he says.
Since the launch of the generative AI models in late 2022, a handful of technology companies — from semiconductor makers and cloud service providers to DC operators — have driven much of the gains in equities globally.
The Magnificent Seven stocks (Tesla Inc, Nvidia Corp, Alphabet Inc, Amazon.com Inc, Apple Inc, Microsoft Corp and Meta Platforms Inc) accounted for a disproportionate share of the returns in US markets over the past two years, pushing valuations to levels that have prompted comparisons with previous periods of market exuberance.
While Mortier sees signs of overheating in parts of the AI ecosystem, particularly among high-momentum tech stocks and DC investments, he stops short of calling the broader market rally a bubble.
“When you look at all the metrics — technical metrics, flows, leveraged ETF (exchange-traded fund) flows, single-name flows — it’s exactly the behaviour of a bubble. So are we in a bubble in some companies? I think yes. But are we in a global bubble? No,” he says.
Mortier points to the recent listing of aerospace and AI conglomerate SpaceX, with its sky-high valuation as a possible symbol of the market’s exuberance. “Maybe it will be the start of the mother of all bubbles, in a way … we’ll see. People will remember this day because it’s a very unique IPO.”
After touching a high of US$225.64 per share, SpaceX has pared most of its gains since listing on June 12. At the closing price of US$154.54 last Wednesday, the stock is up 14.5% from its initial public offering of US$135 per share.
Fuelled by optimism driven by AI, the broader tech-heavy Nasdaq has climbed 10% so far this year after a 21% gain in 2025.
The question facing investors is no longer whether AI will change the world, but who will ultimately capture the economic value it creates. What remains uncertain is whether the companies leading today’s investment boom will generate sufficient returns to justify their valuations.
Tech giants are collectively spending hundreds of billions of dollars on DCs, computing power and AI infrastructure, while markets continue to reward those investments in anticipation of substantial future earnings.
“The market has been pretty optimistic, for good reasons in the short term, but on a hypothesis which, for me, is a bit questionable,” says Mortier.
Consumers and businesses currently pay only a fraction of the true cost of AI services, as providers prioritise market share and user adoption over profitability, he notes. These companies will eventually have to raise prices at some point.
“I’m not sure people will want to pay. I think the higher prices will lead to lower monetisation capabilities,” says Mortier.
While the demand for AI chips is expected to remain strong, the increased competition could compress margins in an industry where investors are currently pricing in years of rapid growth, he adds.
Mortier points to China, which has made semiconductor self-sufficiency a strategic priority. He says Chinese firms are investing heavily to develop advanced domestic chipmaking capabilities, raising the prospects of lower-cost alternatives entering the market far sooner than many investors expect.
“Next year or the year after, we’ll probably have China coming up with super-precision, high-end chips [that are] much cheaper. That will totally modify the marketplace. And I’m talking about in one or two years, not in 10 years,” he adds.
Such developments could have significant implications for semiconductor valuations, which have been buoyed by expectations of years of strong earnings growth.
“When you buy into a chipmaker today at 20, 30 or 40 times earnings, it’s because you’re very confident it will grow for 10 years. Honestly, I wouldn’t be so sure. So I will be a bit cautious after the big market hype we had on chipmakers,” says Mortier.
Monica Defend, Amundi chief strategist and head of the Amundi Investment Institute, argues that investors should increasingly look beyond the companies building AI models and infrastructure, and focus instead on the industries that stand to benefit from adopting the technology.
While much of the market’s attention has centred on chipmakers, cloud providers and DC operators, the next phase of the AI investment story is likely to be driven by companies using the technology to improve productivity, automate processes and reduce costs, she says.
“We have moved beyond the AI enablers. The midstream and downstream is where we think there is sectoral value,” Defend tells The Edge.
In particular, she sees opportunities in industrial automation, where AI is increasingly being integrated into manufacturing processes, supply chains, logistics and factory operations.
“As long as you start to automate industrial production in a vertical way, this will be the next wave. [The winners will be] the sectors that can successfully implement AI to make industrial processes more efficient and profitable,” says Defend.
Strategic autonomy, reshoring and supply-chain resilience are also accelerating investments in automation technologies. “If this is the fil rouge (common thread), then you need to see at sector level where this is materialising,” she says.
For years, global investors have largely allocated capital based on countries or regions, favouring markets such as the US because of their dominant tech sector.
Defend argues that this approach is becoming less useful in a world where technological disruption cuts across borders. “We need to shift from macro-beta investment — I invest in Europe, I invest in Japan, I invest in China — to sector beta,” she says.
Rather than asking which country will benefit most from AI, investors should identify the industries best positioned to capture the gains from automation, electrification and digitalisation, says Defend.
That may also create opportunities beyond the US, where a handful of tech giants dominate stock market performance.
“The US market is too deep, too big and too liquid to be ignored. But what we hear from our clients is a growing interest to diversify out of the US because it is a very concentrated market and it is expensive,” she says.
Europe and Asia could stand to benefit from that shift, given their greater exposure to industrial companies, manufacturers and infrastructure providers that may be among the largest adopters of AI technologies, says Defend. “The industrial sector has a larger weight in Asia and in Europe when compared with the US,” she points out.
On the local bourse, tech counters have rallied sharply over the past year. The Bursa Malaysia Technology Index has climbed about 30% year to date, outperforming the broader market as investors accumulate semiconductor and AI-linked stocks.
The immediate beneficiaries of the rally include semiconductor equipment maker ViTrox Corp Bhd (KL:VITROX), advanced manufacturing solutions provider Mi Technovation Bhd (KL:MI) and newly listed chip designer SkyeChip Bhd (KL:SKYECHIP).
Beyond chipmakers, the market has begun looking for the next beneficiaries of AI spending, with companies linked to power infrastructure, utilities and water systems gaining attention. The rapid expansion of DCs requires not only computing power, but also electricity, water and transmission capacity.
Infrastructure-related counters such as MN Holdings Bhd (KL:MNHLDG), CBH Engineering Holding Bhd (KL:CBHB) and Kee Ming Group Bhd (KL:KEEMING) have seen renewed investor interest, while water infrastructure providers like ISF Group Bhd (KL:ISF) are increasingly viewed as indirect beneficiaries of the rising demand for DC investments.
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