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Billionaire David Tepper of Appaloosa Has Been Selling Artificial Intelligence (AI) Stocks en Masse, With One Exception

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2 months ago

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Key Points

  • Form 13Fs are filed quarterly, and they allow investors to easily track which stocks Wall Street’s greatest money managers are buying and selling.

  • Appaloosa’s David Tepper has been reducing his fund’s exposure to artificial intelligence (AI) stocks — and profit-taking might not be the only catalyst.

  • However, one industry-leading AI stock (not Nvidia!) was purchased by Tepper during the March-ended quarter.

Data is the currency that keeps Wall Street running. The only problem for investors is the amount of data they have to digest can sometimes be overwhelming, which can allow something of importance to go unnoticed.

During the heart of earnings season in mid-May, institutional investors with at least $100 million in assets under management filed Form 13F with the Securities and Exchange Commission. This filing deadline, which occurred on May 15, may have slid under the radar of investors.

Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Learn More »

A 13F provides invaluable insight on which stocks Wall Street’s top-tier money managers bought and sold in the latest quarter. Though most investors tend to keep close tabs on which stocks Warren Buffett has been purchasing and selling, he’s not the only billionaire with a penchant for outperformance.

Image source: Getty Images.

For instance, Appaloosa’s David Tepper has a lengthy track record of generating outsized returns. In particular, Tepper has been a big fan tech stocks involved in the artificial intelligence (AI) revolution since late 2022.

But what you might be surprised to learn is that Tepper has been reducing his exposure to AI stocks across the board over the last year… with one exception.

Billionaire David Tepper can’t sell his fund’s AI stocks fast enough

If there’s a brand-name company that’s made artificial intelligence a foundational part of its future growth plans, there’s a pretty good chance David Tepper’s Appaloosa has been a seller of its stock over the past year (defined as April 1, 2024 – March 31, 2025).

In no particular order, Tepper has reduced or jettisoned his stakes in:

  • Advanced Micro Devices: Sold all 1,630,000 shares
  • Intel: Sold all 3,750,000 shares
  • Oracle: Sold 1,600,000 shares (a 70% reduction)
  • Microsoft(NASDAQ: MSFT): Sold 890,000 shares (a 64% reduction)
  • Baidu: Sold 1,025,000 shares (a 57% reduction)
  • Meta Platforms(NASDAQ: META): Sold 572,500 shares (a 51% reduction)
  • Taiwan Semiconductor Manufacturing: Sold 230,000 shares (a 46% reduction)
  • Amazon: Sold 1,318,000 shares (a 34% reduction)
  • Alibaba: Sold 2,020,000 shares (an 18% reduction)
  • Nvidia(NASDAQ: NVDA): Sold 4,120,000 shares (a 93% reduction, when adjusted for the company’s 10-for-1 stock split in June 2024)

To be fair, most of these AI stocks have skyrocketed due to strong enterprise demand for AI infrastructure, as well as pie-in-the-sky addressable market estimates. With Appaloosa’s average holding time clocking in at two years and five months, simple profit-taking may very well explain this en masse selling activity. But there’s likely more to this story than meets the eye.

For instance, every game-changing technological innovation for more than 30 years has navigated its way through an early innings bubble that eventually burst. This is a roundabout way of saying that all new innovations and technologies need ample time to mature. With most businesses not generating a positive return on their AI investment nor optimizing their AI solutions (as of yet), the table appears set for another bubble to burst.

Some of the AI stocks Tepper has exited or pared down would fare OK if the AI bubble pops. For example, Meta Platforms generates close to 98% of its net sales from advertising, which wouldn’t be demonstrably hurt if the AI bubble bursts. The same can be said for Microsoft, which still leans on its legacy segments (Windows and Office) for copious amount of cash flow, and can count on cloud infrastructure service platform Azure to sustain double-digit growth.

But this wouldn’t be the story for Wall Street’s AI darling Nvidia, which has seen almost all of its growth over the last two years originate from its AI-graphic processing units (GPUs). Nvidia has been priced as if demand for AI-GPUs won’t taper, which is highly unlikely.

Appaloosa’s billionaire chief might also have regulatory or trade/tariff concerns. Both the Joe Biden and Donald Trump administrations established export restrictions on high-powered AI chips and related equipment to China, which is a key market for companies like Nvidia.

Furthermore, the prospect of base-rate tariffs and higher “reciprocal tariff rates” instituted by President Trump threatens to eat into corporate margins, and may disrupt and/or alter supply chains and demand for U.S. hardware. It’s more worrisome news for Nvidia, which may explain why Tepper has reduced his stake in the company by 93% over the prior year.

An engineer checking wires and switches on an enterprise data center server tower.

Image source: Getty Images.

This is the one artificial intelligence stock Appaloosa’s David Tepper is buying

While selling activity in AI stocks has been almost universal for Appaloosa’s David Tepper since the start of April 2024, there is one AI company that’s been an exception: networking specialist Broadcom(NASDAQ: AVGO). During the first quarter of 2025, Appaloosa’s 13F shows Tepper opened a 130,000-share position.

Broadcom’s networking solutions are responsible for connecting tens of thousands of GPUs in AI-accelerated data centers, with the purpose of reducing tail latency and maximizing computing potential. With AI-empowered software and systems making split-second decisions, networking solutions that reduce lag/delays are imperative to the success of this technology.

For those of you who’ve put two and two together, Broadcom stock wouldn’t be immune if the AI bubble were to burst. A slowdown in data center infrastructure orders would eventually work its way down the line to Broadcom.

However (and this is a fairly important “however”), Broadcom is far more than just an AI stock, which may explain why Appaloosa’s billionaire investor has piled on.

Although demand from a small number of AI hyperscalers accounts for the bulk of Broadcom’s current growth rate, it’s a considerably more diverse business than Nvidia. It’s one of the leading providers of wireless chips used in next-generation smartphones. Further, it supplies various optical and/or networking components to the auto industry and industrial businesses. To boot, Broadcom offers enterprise cybersecurity solutions through Symantec, which it acquired in 2019. While an AI bubble would be impactful, it wouldn’t decimate Broadcom’s diverse operating segments.

Broadcom’s valuation is likely the other puzzle piece that attracted billionaire David Tepper. Though its current forward price-to-earnings (P/E) ratio of 34 isn’t exactly cheap, its forward P/E fell to the 22 to 24 range during the stock market’s swoon in March.

For the time being, Broadcom is the only true exception to Tepper’s en masse selling of AI stocks.

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ChatGPT, the most existential artificial intelligence (AI), was created by a company called OpenAI. ..

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3 hours ago

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September 1, 2025

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The world of Teen Maeil Economy with your children is now

[Getty Images Bank]

ChatGPT, the most existential artificial intelligence (AI), was created by a company called OpenAI. Currently, more than 100 million users around the world average about 3 billion questions a day on ChatGPT.

Recently, the GPT-4o model of OpenAI (where ‘o’ stands for ‘omni’) was upgraded to GPT-5. Sam Altman, CEO of OpenAI, also expressed strong confidence by introducing GPT-5, describing it as the “smartest model” and “doctoral level.”

But the market’s response was a little different. The newly released GPT-5 was considered to be an emotionless robot by users, while making errors even with basic questions. In fact, even though he is an agent, his speech and expression have become stiffer than before.

I compared the answers to the sentence, ‘I got scolded by my mom today.’

GPT-4o said, “What happened? It hurts me a little to say that I got scolded by my mom… Can you tell me why you got in trouble? Let’s talk together. It may not necessarily be your fault to get in trouble. I’m here, so it’s okay to talk slowly.”

On the other hand, GPT-5 said, “Oops… What happened? Why did you get in trouble? It’s okay if you tell me,” he responded briefly and succinctly.

[Yonhap News]
[Yonhap News]

Thanks to GPT-4o’s kind and warm way of speaking, there have been many users who have used AI not just as a tool but as if they are friends. However, the newly updated GPT-5 is widely considered to be formal and emotionless in its tone compared to the previous version. Many people tested it and found that the majority of the responses were that the previous version, GPT-4o, was much more expressive and gave careful answers.

Various overseas tech websites have also raised fire by pouring out articles on why the GPT-4o version is better than the GPT-5. Controversy also continued on the ChatGTP bulletin board of the American community Reddit, and some users even disparaged GPT-5 with expressions such as “disaster” and “unfortunate.”

In the end, OpenAI decided to support the option to use GPT-4o again for paid users by referring to user opinions. CEO Altman later said the GPT-5 launch had “more twists and turns than expected” and that he had improved the GPT-5 warmer and kinder.

Regardless of the GPT-5’s speech and performance issues, some criticize the fact that OpenAI deleted the model used by paid users without guidance. The function you paid for disappeared overnight, which means that you have betrayed your trust with consumers.

Meanwhile, there are also people who are concerned about emotionally relying on AI. Experts caution that excessive reliance on AI can lead to problems such as confusion and delusion.

[Yonhap News]
[Yonhap News]

Some users said that the GPT-4o’s kindness was rather uncomfortable because it seemed to be flattering to the user, and that the dry and short tone of the GPT-5 was more suitable for work. It is also an example of which way AI speaks better depends on the expectations and purpose of the user.

The attitude of facing AI that is getting smarter varies from person to person. Some people think that AI only needs to be good at what they are told to do. Another person wants to hear warm words from AI, and they want that kind of AI. This is why in a world where AI is becoming increasingly active, we need to think together about how it is healthiest to relate to AI. Reporter Bae Yoon-kyung. Researcher Chung Ju-hee.

This is an article in the youth economic newspaper ‘Teen Maeil Economy’. If you apply for a subscription to the Maeil Business Newspaper (02-2000-2000), you can get the Teen Maeil Business for free.



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Canada’s first lunar rover looks to future space exploration

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3 hours ago

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August 31, 2025

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Ali Abbas AhmadiBBC News, Toronto

Canadian Space Agency A computer generated image of the lunar vehicle on the surface of the MoonCanadian Space Agency

A computer generated image of what the lunar vehicle could look like on the Moon

In a shopping plaza an hour outside Toronto, flanked by a day spa and a shawarma joint, sits a two-storey building with blue tinted windows reflecting the summer sun.

It is the modest headquarters of Canadensys Aerospace, where Canada is charting its first trip to the Moon.

Canadensys is developing the first-ever Canadian-built rover for exploring the Earth’s only natural satellite, in what will be the first Canadian-led planetary exploration endeavour.

Models, maps and posters of outer space line the office walls, while engineers wearing anti-static coats work on unfamiliar-looking machines.

Sending this rover to the Moon is part of the company’s “broader strategy of really moving humanity off the Earth”, Dr Christian Sallaberger, Canadensys’ president and CEO, told the BBC.

Learning about the Moon – which is seen to have the potential to become a base for further space exploration – is the “logical first step”, he said.

“People get all excited about science fiction films when they come out. You know, Star Wars or Star Trek. This is the real thing.”

Two prototypes of the Moon rover, one white one in the foreground and the grey one on the table, with the Canadian flag in the background

Prototypes of the lunar rover, both designed and built by Canadensys

The Canadian vehicle is part of Nasa’s Artemis programme, which aims to establish a sustainable human presence on the Moon.

As part of that overarching goal, this rover aims to find water and measure radiation levels on the lunar surface in preparation for future manned missions, and survive multiple lunar nights (equivalent to about 14 days on Earth).

The rover will also demonstrate Canadian technology, building on Canada’s history in space.

Canada was the third country to launch a satellite, designed the Canadarm robotic arms for the Space Shuttle and the International Space Station, and is known for astronauts such as Chris Hadfield and Jeremy Hansen – the latter of whom will orbit the Moon on the Artemis II mission next year.

The 35kg rover is scheduled to be launched as part of a Nasa initiative in 2029 at the earliest. It will land on the Moon’s south polar region – one of the most inhospitable places on the lunar surface.

The vehicle does not have a name yet. The Canadian Space Agency held an online competition to select one, and is expected to announce the winner in the future.

Canadensys President Christian Sallaberger standing in one of the company's labs, with a Canadian flag visible on the back wall

Canadensys President Christian Sallaberger said he is excited to be playing a role in humanity’s quest to explore space

Canadensys is currently working on several prototypes of the rover. The final vehicle, Mr Sallaberger said, would be assembled shortly before launch.

Each component is tested to ensure it can survive the Moon’s harsh conditions.

Temperature is one of the main obstacles. Lunar nights can plummet to -200C (-328F) and rise to a scorching daytime of 100C (212F).

“It’s one of the biggest engineering challenges we have because it’s not so much even surviving the cold temperature, but swinging between very cold and very hot,” he said.

Designing the wheels is another challenge, as the Moon’s surface is covered with a sticky layer of fragmented rock and dust called regolith.

“Earth dirt, if you look at it microscopically, has been weathered off. It’s more or less in a round shape; but on the Moon the lunar dirt soil is all jagged,” Mr Sallaberger said.

“It’s like Velcro dirt,” he said, noting it “just gums up mechanisms”.

Engineers Misha Hartmann and Adam Abdulahad work on a prototype of the rover at the Canadensys headquarters. Both wear white lab coats and are working on the vehicle, which is siting on a table, and has metal wheels and visible wires.

Engineers Misha Hartmann (L) and Adam Abdulahad work on a prototype of the rover at the Canadensys headquarters

The search for water on the lunar surface is especially exciting, considering the Moon was generally thought to be bone dry following the Apollo missions in the 1960s and 70s, the US human spaceflight programme led by Nasa.

That perception changed in 2008, Dr Gordon Osinski, the mission’s chief scientist, told the BBC, when researchers re-analysed some Apollo mission samples and found particles of water.

Around the same time, space crafts observing the Moon detected its presence from orbit.

It has yet to be verified on the ground and many questions remain, the professor at Western University in London, Ontario, said.

“Is it like a patch of ice the size of this table? The size of a hockey rink? Most people think, like in the Arctic, it’s probably more like grains of ice mixed in with the soil,” he said.

Water on the Moon could have huge implications for more sustainable exploration. He noted one of the heaviest things they need to transport is often water, so having a potential supply there would open doors.

Water molecules can also be broken down to obtain hydrogen, which is used in rocket fuel. Mr Osinski described a future where the Moon could become a sort of petrol station for spacecrafts.

“It gets more in the realms of sci- fi,” he said.

Dr Gordon Osinski seated at a wooden desk in his office in Western University, wearing an Artemis programme t shirt with a rock from the Moon on the desk in front of him

Dr Osinski, an expert in lunar geology and has experience training astronauts in Canada’s Arctic, showed off a lunar rock during the BBC interview

Canada has wanted to build a lunar surface vehicle for decades, with talk of a Canadian-made spacecraft even in the early 2000s – but it was not until 2019 that concrete plans were announced.

Canadensys was awarded the C$4.7m ($3.4m; £2.5m) contract three years later.

Founded in 2013, Canadensys has worked on a variety of aerospace projects for organisations like Nasa and the Canadian Space Agency, as well as commercial clients.

More than 20 instruments built by the company have been used in a host of missions on the Moon.

But there are challenges ahead – as even landing on the Moon is no easy feat.

In March, a spacecraft by commercial US firm Intuitive Machines toppled over onto its side during landing, ending the mission prematurely.

Three months later, Japanese company iSpace’s Resilience lost touch with Earth during its landing, and eventually failed.

“That’s the nature of the business we’re in,” Mr Sallaberger said. “Things do go wrong, and we try to do the best we can to mitigate that.”

Intuitive Machines/The Planetary Society An instrument designed by Canadensys, on the Intuitive Machines' lander in space. Earth is seen below it against a black sky. Intuitive Machines/The Planetary Society

A picture of the Earth taken by a Canadensys-built camera was selected as the Best Space Exploration Image of 2024 by the Planetary Society

Space exploration has been a collaborative field over the years, with countries – even rivals, such as the United States and Russia – working together on the International Space Station.

But that might be changing, Mr Osinski said. As the prospect of a permanent presence on the Moon becomes more realistic, wider geopolitical questions have begun to swirl around the ownership of the satellite.

“There’s more talk around who owns the Moon and space resources,” Mr Osinski said.

In 2021, the US passed a law to protect the Apollo Moon landing site “because they had a concern that China could just go and grab the US flag, or take a piece of an Apollo lander”, he said.

But he had some encouraging words about the Artemis missions, which are “even way more international than the space station”.

The Artemis Accords, which is a set of ideals to promote sustainable and peaceful exploration of outer space, has been signed by more than 50 countries – including ones like Uruguay, Estonia and Rwanda, which are not traditionally seen as key space race nations.

Space is also becoming more accessible. Private companies like SpaceX and Blue Origin have taken an increasingly important role and are able to take anyone with the money and barely any training – like Amazon founder Jeff Bezos and pop star Katy Perry – into space for a few minutes.

But the Moon is the Holy Grail, as it opens up all sorts of possibilities.

Mr Sallaberger said that Canadensys is involved in longer-term projects, such as lunar greenhouses for food production.

Those still remain many years in the future, but the rover is a starting point.

“If you design something that can survive on the lunar surface long-term, you’re pretty bulletproof anywhere else in the solar system.”



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Researchers make AI-powered tool to detect plant diseases

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5 hours ago

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August 31, 2025

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A team of researchers at Maharshi Dayanand University (MDU), Rohtak, has developed an artificial intelligence (AI)-based tool capable of detecting diseases and nutrient deficiencies in bitter gourd leaves, potentially transforming the way farmers monitor crop health.

The study, recently published in the peer-reviewed journal ‘Current Plant Biology’ (Elsevier), highlights how AI-driven innovations can play a crucial role in real-time crop monitoring and precision farming.

The newly developed web-based application, named ‘AgriCure’, is powered by a layered augmentation-enhanced deep learning model. It allows farmers to diagnose crop health by simply uploading or capturing a photograph of a leaf using a smartphone.

“Unlike traditional methods, which are time-consuming and often require expert intervention, AgriCure instantly analyses the image to determine whether the plant is suffering from a disease or nutrient deficiency, and then offers corrective suggestions,” explained the researchers.

The collaborative research project was led by Dr Kamaldeep Joshi, Dr Rainu Nandal and Dr Yogesh Kumar, along with students Sumit Kumar and Varun Kumar from MDU’s University Institute of Engineering and Technology (UIET). It also involved Prof Narendra Tuteja from the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi and Prof Ritu Gill and Prof Sarvajeet Singh Gill from MDU’s Centre for Biotechnology.

MDU Vice-Chancellor, Prof Rajbir Singh, congratulated the research team on their achievement.

According to the researchers, AgriCure can detect major diseases such as downy mildew, leaf spot, and jassid infestation, as well as key nutrient deficiencies like nitrogen, potassium and magnesium.

“This represents a step towards sustainable agriculture, where AI empowers farmers with real-time decision-making tools,” said corresponding authors Prof Ritu Gill and Prof Sarvajeet Singh Gill. They added that the web-based platform can be integrated with mobile devices for direct use in the field.

The team believes that the technology’s core framework can be extended to other crops such as cereals, legumes, and fruits, creating opportunities for wider applications across Indian agriculture.

Looking ahead, they plan to integrate AgriCure with drones and Internet of Things (IoT) devices for large-scale monitoring, and to develop lighter versions of the model for full offline use on mobile phones.





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