Tools & Platforms
Big Tech Is on Track to Spend Over $1 Trillion on AI Infrastructure by 2028. These 3 Semiconductor Stocks Could Be the Biggest Winners (Hint: Not Nvidia)

There’s still a lot of opportunity left in AI, and these three stocks look underpriced right now.
Every month it seems like one company or another announces it is increasing its budget for artificial intelligence (AI) data centers. Last month, Alphabet released plans for $85 billion in capital expenditures (capex) this year, up from its original 2025 outlook of $75 billion. Not to be outdone, Amazon, a week later, said it increased its capex budget to $118 billion, up from $100 billion.
Big tech’s spending is only set to climb higher over the next few years. Market researcher Dell’Oro Group forecasts the top 10 big tech companies will spend over $1 trillion on AI infrastructure in 2028. That’s up from about $593 billion this year.
Nvidia has been one of the biggest winners of these companies’ spending spree so far. Its GPUs play a crucial role in AI training and inference servers. Demand for its chips has pushed both its volume and pricing higher, and that’s reflected in its incredible revenue and profit growth over the last three years. Roughly two and a half years into the generative AI revolution, the company saw its revenue climb another 69% year over year, with profits climbing 57% on an adjusted basis during its most recent quarter.
But Nvidia’s strong results of the last three years don’t necessarily make the stock a shoo-in to be a great investment over the next three years. In fact, the following three semiconductor stocks look like better investments right now to capitalize on the continued increase in AI spending by big tech.
Image source: Getty Images.
1. Marvell Technology
Marvell Technology (MRVL 0.63%) is the chipmaker behind custom AI chip designs from Amazon and Microsoft. Instead of GPUs, these custom chips, called XPUs, are designed to more exact specifications to optimize price performance for large language model training or inference.
The XPU opportunity is growing quickly, as big tech companies look to use more cost-efficient chips and reduce their reliance on Nvidia. Broadcom, another XPU maker, expects its three custom silicon customers to spend $60 billion to $90 billion on chips by 2027. Marvell sees a $55 billion opportunity for its customers by 2028. To put that in perspective, its revenue over the last four quarters totals $6.5 billion.
And Marvell looks poised to capitalize on that opportunity. Microsoft recently upgraded the specifications of its next-generation Maia300 chip, according to a report from Fubon Research. And while that will push out the production timeline until late next year, it also suggests Microsoft will ramp up its production quickly.
Fubon expects 300,000 to 400,000 units ordered for the fourth quarter of 2026, with a similar pace of spending throughout 2027. That could mean $10 billion to $12 billion in annual revenue from a single chip design.
Marvell also designs networking chips for getting the most out of GPUs and XPUs. Networking equipment ensures data moves quickly and efficiently from one server to another. That’s essential for getting the most out of the processing capabilities of the expensive servers used for training and running AI systems.
As mentioned, it isn’t the only company working with big tech on custom silicon solutions. Broadcom has several high-profile contracts as well, and just as many opportunities to expand its market share as Marvell.
But Broadcom’s stock is far more expensive for new investors at the moment. Marvell trades for 27 times forward earnings estimates compared to a multiple of 45 for Broadcom. That makes Marvell a much better option for investors looking to capitalize on the rise of custom silicon.
2. Micron Technology
Micron Technology (MU 3.26%) is one of a handful of suppliers of memory chips. Perhaps the most important type of memory chip for generative AI is called high-bandwidth memory, or HBM. These chips are attached to GPUs, giving the processors access to data with minimal latency.
Micron was a bit late to develop its HBM chips, but it has quickly caught up to the competition, and it’s winning some big contracts. AMD tapped Micron to supply the HBM3E chips in its MI355X GPUs, which have shown promising results. AMD’s newest chips could be poised to take share of the GPU market from Nvidia by offering competitive price performance.
Micron plans to start production on its HBM4 chips next year, after delivering samples to potential customers in the first half of this year. Management says the new chips offer a 60% performance improvement over its current generation of chips with a 20% reduction in power consumption.
HBM chips have been the biggest driver of Micron’s results recently. Sales of HBM increased 50% sequentially, driving overall revenue up by 15% from its previous quarter and 51% from the previous year.
And the continued ramp-up in HBM should drive expanding margins. Management’s outlook calls for a 42% gross margin next quarter, up from 39% in its most recent quarter and 28% a year ago.
The company sees very strong profit growth in the near future as GPU and XPU makers continue to buy up its memory chips, but it faces significant risks. Since Micron manufactures its own chips, it spends heavily on tooling and capacity while demand increases. But if demand falls, it could see a sharp drop in profitability. That’s exacerbated by the fact that memory chips aren’t well differentiated and a customer could easily switch suppliers.
Still, the stock currently trades for just 14 times earnings estimates. At that price, investors are getting a lot of potential. And if AI spending continues to rise as expected, this earnings cycle could extend well into the future, making the current price for Micron Technology a great opportunity for investors.
3. Taiwan Semiconductor Manufacturing
Taiwan Semiconductor Manufacturing (TSM 0.77%), known as TSMC for short, is the largest chip fabricator in the world. If Nvidia, Broadcom, Marvell, or anyone else wants a leading-edge chip design produced, they’re probably going to work with TSMC. That’s because it has some of the best technology in the world. As a result, roughly two-thirds of all silicon manufacturing spending goes to the Taiwanese company.
TSMC’s technology lead is supported by a virtuous cycle. Since the company commands a huge share of all spending, it has more money to reinvest in research and development (R&D) and building extra capacity. With more R&D spending, it’s able to develop and perfect the next-generation processes faster, and it has the capacity to meet demand for new chips, bringing in even more revenue.
The company recently received several pieces of good news, further improving its competitive position in the industry. First, Intel said it wouldn’t offer fabrication services for its newest-generation process. And if it didn’t get a major customer under contract for its next-generation process, it would stop developing it entirely. That leaves one less competitor for TSMC as it ramps up its next-generation 2nm process.
And TSMC received an exemption from the Trump administration’s 100% tariff on foreign-sourced semiconductors. That exemption was likely due to huge commitments from the company to build factories in Arizona.
Both clear the way for TSMC to ramp up production of its 2nm process, which already has customers lined up. The company is reportedly charging a significant premium over the previous generation 3nm chips. Combined with a quick ramp up in production, it should support strong gross margins as it quickly transitions to the next-generation node.
Despite the recent price gains in the stock on the good news, TSMC shares currently trade for less than 25 times forward earnings. Considering management expects average revenue increases of 20% per year between now and 2029 based on strong AI chip growth, that’s still a great price to pay for a company with huge competitive advantages.
Tools & Platforms
AI, lasers and chips: the science and tech of China’s military parade

China’s military parade on Wednesday – featuring the latest AI-powered uncrewed vehicles, laser weapons and missiles – signalled an arms race fuelled by scientific and technological advances.
Artificial intelligence, optics and physics and information technologies have underscored how innovations will shape the future of modern warfare, paving the way for futuristic intelligent systems.
“The parade featured unmanned intelligent systems, underwater combat units, cyber and electronic forces and hypersonic weapons, highlighting the growing capacity of the People’s Liberation Army (PLA) to harness emerging technologies, adapt to the evolving character of warfare, and prevail in future conflicts,” state broadcaster CCTV said.
The weapons on parade featured a “high level of informatisation, intelligence and practical combat capability, showcasing the military’s combat abilities, capabilities in new domains and strong strategic deterrence”, Dong Yongzai, a researcher at a centre under Beijing’s Academy of Military Science, told CCTV.
AI-powered equipment and vehicles
The parade showcased a variety of AI-powered uncrewed equipment.
The land combat formation showed vehicles that can perform reconnaissance, assaults, mine and bomb defusing and squad support, according to CCTV.
Tools & Platforms
Janus Health Joins Cipher Collective as Revenue Cycle Technology Provider in AI-Enabled Healthcare Initiative – geneonline.com
Tools & Platforms
SoftBank rides tech rally with AI investments, but will they pay off?

SoftBank Group has been among the top performers on Tokyo’s Prime market this year, surging on the back of a US tech rally powered by an artificial intelligence boom.
The conglomerate’s increasing AI investments have fueled hopes for lucrative returns, but some investors are still mulling whether it’s worth the bet.
Shares in SoftBank are up more than half this year, gaining steam over the last few months and outperforming the benchmark Nikkei Stock Average’s 8.5% gain. SoftBank touched an all-time closing high of JPY 16,705 (USD 113) on Aug. 18, helping push the Nikkei average to a record high last month, before tumbling to the 14,000 level.
Tomoichiro Kubota, a senior market analyst at Matsui Securities in Tokyo, said the stock’s more recent weakness reflected concerns among retail investors that its rally was due for a pause.
“SoftBank’s share price doubled in a short period of time as expectations and hopes for its future growth climbed very quickly,” he said. “Long-term institutional investors operate differently, but for Japanese retail investors, it was an opportunity to short-sell the stock amid the rapid rise.”
The stock had been buoyed by a string of announcements and news headlines.
Just days after the Japanese giant revealed that it would invest USD 2 billion in Intel and acquire a stake of around 2%, President Donald Trump said the US government will take a roughly 10% stake in the chipmaker in exchange for outstanding federal grants.
“Semiconductors are the foundation of every industry,” Masayoshi Son, the chairman and CEO of SoftBank, said in a statement on August 26. The “strategic investment” in Intel “reflects our belief that advanced semiconductor manufacturing and supply will further expand in the US, with Intel playing a critical role.”
Intel is just one of SoftBank’s many bets on AI and semiconductors, as the company has accelerated investments in such advanced technologies.
UK-based chip designer Arm, which SoftBank bought in 2016 for USD 31 billion, is reportedly considering developing AI chips under its own brand. In the past year or so, SoftBank has acquired AI chipmaker Graphcore and US chip designer startup Ampere Computing. The Japanese company has increased its stake in Nvidia, as well as the world’s top chip foundry, Taiwan Semiconductor Manufacturing Company (TSMC).
In March, ChatGPT creator OpenAI announced that it secured fresh funding of USD 40 billion from investors, including USD 30 billion from SoftBank. OpenAI is reportedly preparing to sell around USD 6 billion in stock to investors, including SoftBank, as part of a secondary sale that would value the company at roughly USD 500 billion.
“These investments are further emphasis of a longer-term theme, in our view, involving SoftBank Group focusing on AI ecosystem plays, as opposed to technology more broadly, or other verticals like consumer, as we have seen in the past,” said Paul Golding, a senior digital infrastructure and payments analyst at Macquarie in New York.
Golding added that SoftBank has been using its non-AI investments “as funding sources for reinvestment into what we would consider to be more pure play AI investments.”
SoftBank’s Son has taken a key role in Trump’s AI push. Trump said in January that OpenAI, Oracle, and SoftBank pledged USD 500 billion to the Stargate project to build data centers across the US.
“The perception of SoftBank has changed significantly. Investors now see SoftBank as an AI company rather than an investment company,” said Takashi Nakagawa, senior analyst at Tokai Tokyo Intelligence Laboratory.
At the company’s annual general meeting in June, Son told shareholders that in ten years, his company aims to become the world’s leading platform provider for artificial superintelligence (ASI), leveraging the strengths of Arm and OpenAI.
The tycoon said that just like Google, Apple, Microsoft, Amazon, and Meta have defined the digital age, he wishes for SoftBank to become the foundational company in ASI.
Earlier this month, the company reported a JPY 421.8 billion (USD 2.9 billion) net profit for the three months ended in June, posting its first profit for that quarter in four years, as valuations in its Vision Funds’ portfolio improved. Gains in shares of South Korean online retailer Coupang and ride-hailing firm Grab helped the tech investment arm, as did a rise in Nvidia’s stock price.
SoftBank’s net asset value (asset value minus liabilities), which shows how well the company is doing with its investments, jumped 26% to JPY 32.4 trillion (USD 222.8 billion) as of June from three months before. The increase was largely due to a rise in the market capitalization of Arm, which accounts for half of the value of the stocks it holds.
Oliver Matthew, head of Asia consumer research at CLSA, said, “I think SoftBank has consistently shown that they get the paradigm shifts in technology correct, and they make big investments in those shifts.”
Matthew said SoftBank has been “extremely successful” with its bets on Arm and the US carrier Sprint, both of which initially received a “quite negative” response from investors. “But they turned out to be brilliant investments over the longer-term horizon.”
Along with expectations for SoftBank’s future growth, also at play are investors eager to gain access to OpenAI.
OpenAI is a private company that was founded in 2015 as a nonprofit, open-source model. But it has a for-profit division and scrapped plans to convert entirely into a for-profit business.
“When I talk to investors, [SoftBank’s] rally seems to be driven by a belief that, for institutional investors who cannot directly invest in OpenAI, one way for them to invest is through buying SoftBank’s public equity stock,” said Atul Goyal, equity analyst at Jefferies in Singapore who has been covering Asia’s tech, media, and telecommunication sectors for around two decades.
Goyal said that whether investments in OpenAI will pay off depends on whether the company can convert itself into a for-profit business. SoftBank has said it could reduce the size of its funding to OpenAI if it fails in its transition this year.
Some analysts have flagged concerns and potential risks for the Japanese tech giant stemming from its increasing exposure to AI.
A recent report by the Massachusetts Institute of Technology revealed a cold truth for companies betting on AI. While US businesses have invested between USD 35 billion to USD 40 billion in generative AI, it said that a whopping 95% of businesses are “getting zero return” on their investments.
Based on the valuations OpenAI has been given by investors, the startup “is an extremely valuable business now,” said Dan Baker, senior equity analyst at Morningstar in Australia. “But no one’s really sure about how exactly they’re going to make money.”
SoftBank’s involvement in cutting-edge technologies and advanced businesses comes with “more risks on the equity value,” Baker said. Such investments may not bear fruit for some time, he said. “I guess that’s what Son has done in the past. He’s taken those sorts of risks.”
This article first appeared on Nikkei Asia. It has been republished here as part of 36Kr’s ongoing partnership with Nikkei.
-
Business5 days ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms3 weeks ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy1 month ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers2 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Education2 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Funding & Business2 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi
-
Education2 months ago
AERDF highlights the latest PreK-12 discoveries and inventions