Tools & Platforms
Technology and Artificial Intelligence (AI) Stocks Are Doing Something Not Seen in Over 25 Years. It’s an Ominous Warning

Key Points
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Since the Great Recession, the concentration of tech stocks in the market has roughly doubled.
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Part of this can be attributed to the rise of the “Magnificent Seven.”
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The last time tech stocks made up this much of the market was right before the turn of the century.
If you follow the market, then you likely know that technology and tech-related stocks have dominated the conversation and fueled the strong returns of the past few years, largely due to excitement around artificial intelligence and its ability to change society as we know it.
While it’s still early days, investors are betting big. In fact, enthusiasm around tech and AI has gotten so intense that the sector is now doing something not seen in over 25 years. In fact, the last time tech stocks climbed this high, it was right before a major market crash, which presents an ominous warning.
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Tech and AI are the market now
Tech and AI make up a majority of the market, largely due to the “Magnificent Seven” stocks. These megacap tech companies not only generate a tremendous amount of earnings and free cash flow, but they’re pouring tens of billions into AI infrastructure and investments. As of Aug. 11, just eight tech companies account for 37% of the S&P 500 (SNPINDEX: ^GSPC)
Nvidia — 7.8%
Microsoft — 6.9%
Apple — 5.9%
Amazon — 4.1%
Meta Platforms — 3.4%
Broadcom — 2.5%
Alphabet Inc — 2.2%
Alphabet Inc — 2.1%
Tesla — 1.9%
All of these stocks have market caps of at least $1 trillion as of this writing. The largest of the bunch, Nvidia, is valued at $4.4 trillion. On the whole, tech and tech-related stocks make up the largest percentage of the stock market since 2000, according to a post from The Kobeissi Letter.
Market concentration has never been this extreme:
Technology and tech-related stocks now make up a record 55% of the stock market.
The share has DOUBLED since the 2008 Financial Crisis.
To put this into perspective, this percentage hit ~50% at the 2000 Dot-Com Bubble peak…. pic.twitter.com/03bhKri9we
— The Kobeissi Letter (@KobeissiLetter) August 4, 2025
This comparison to the dot-com bubble, one of the biggest market collapses in history, is worrying. At the time, venture capitalists were willing to fund entrepreneurs with business ideas but zero revenue or real products. In that environment, investors ran up internet stocks to massive valuations, and the S&P 500 surged about 20% or higher for five years straight.
The market has followed an eerily similar path since the beginning of 2023. At the turn of the century, investors were overly bullish on the internet — this time, it could be AI.
Image source: Getty Images.
Is there a difference between then and now?
As I’ve pointed out on numerous occasions, history rhymes but rarely repeats itself, so the jury is still out on whether this current cycle will manifest into a bubble that pops the same way the dot-com bubble did. The conditions are there, including elevated valuations and an incredibly strong multiyear stock market run, fueled by low interest rates and, in this case, quantitative easing, which seems to have at least played a part in inflating assets.
Investors who do not view this current cycle as a bubble will tell you that the companies funding the AI boom, like Microsoft, Nvidia, and Meta, are in superior financial condition to the companies that were driving the internet boom. Microsoft even has a better credit rating than the U.S. government. While I’m not an expert on the venture capital ecosystem, it also seems like these investors require more stringent criteria for funding, with many prioritizing those with working products and models generating revenue. However, it’s also fair to argue that valuations have run amok.
The internet boom proved that even technologies with immense potential rarely move in a straight line, and I expect the AI boom to be no different. The Magnificent 7 may experience sizable sell-offs before climbing another leg higher. While predicting short-term market moves is incredibly difficult, investors can still protect themselves by dollar-cost averaging, looking for stocks with valuations that make sense, and holding AI stocks for the long haul.
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Bram Berkowitz has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.
Tools & Platforms
Samsung Tackles Chip Challenges with AI Investments and Foldable Tech

In the rapidly evolving world of semiconductors, Samsung Electronics Co. is navigating a complex web of challenges and opportunities as it heads into the latter half of 2025. The South Korean tech giant, a key player in memory chips and foundry services, has been grappling with supply chain disruptions and intense competition from rivals like TSMC and Intel. According to a recent report from Samsung Securities, the company faces difficulties in upward earnings revisions for general-purpose semiconductors due to ongoing production controls aimed at accelerating cycle recovery. This caution stems from uncertain capital expenditure (Capex) and utilization rate forecasts, which investors are watching closely for signs of a bottom-out.
Samsung’s strategic investments, however, signal a bold push forward. The company recently held a tool-in ceremony for its new semiconductor R&D complex, NRD-K, set to begin operations this year, with plans to pour about 20 trillion won ($14.8 billion) into advanced R&D by 2030, as detailed in the Samsung Global Newsroom. This move is part of a broader effort to bolster AI-driven semiconductors, where Samsung sees higher earnings visibility amid the global AI boom.
Investors Eye AI as Samsung’s Lifeline Amid Market Pressures
First-quarter 2025 results underscored both strengths and vulnerabilities, with Samsung reporting revenue of 79.14 trillion won and operating profit of 6.7 trillion won, per the company’s own announcements in the Samsung Global Newsroom. Yet, shareholders have pressed for growth strategies, leading CEO Kyung Kye-hyun to hint at pursuing major mergers and acquisitions this year to counter underperformance in tech stocks, as covered by Reuters. The failure to fully capitalize on AI has been a sore point, with Samsung’s foundry business posting losses of $3.6 billion in the first half of the year, though a $16.5 billion deal with Tesla for AI chips starting in 2027 offers a glimmer of hope, according to posts circulating on X from industry analysts.
Beyond semiconductors, Samsung is innovating in consumer devices to diversify revenue. The foldable smartphone segment is heating up, with the company planning to strengthen its lineup, including the rumored Galaxy G-Fold tri-fold phone slated for a late-2025 launch, as revealed in leaks reported by Geeky Gadgets. This comes amid growing competition from Huawei and Google, with market overviews from Coherent Market Insights forecasting robust industry growth through 2032.
Strategic Shifts in Foundry and Packaging Technologies
Samsung’s ambitions extend to advanced packaging, where it’s exploring Intel’s hybrid bonding technology to enhance chip density and efficiency, as noted in recent X posts from tech enthusiasts like Techo Vedas. This could position Samsung better against TSMC, whose 2nm process is eyeing mass production in Q4 2025 with a monthly capacity of 100,000 wafers by 2026, according to semiconductor news aggregated on X by inni world. Meanwhile, Samsung’s own 2nm advancements are crucial for reclaiming market share, especially as global wafer foundry revenue surged 14.6% to $41.7 billion in Q2, with TSMC dominating over 70% of the market.
The company’s mobile division is also adapting, with expectations for a delayed flagship processor launch and expanded Galaxy AI features across premium devices, as outlined in X updates from insider Anthony. Price increases for components and a focus on thinner, redesigned foldables aim to counter Apple’s rumored 2026 entry into the foldable arena, per Business Insider.
Geopolitical Tensions and Supply Chain Resilience
Geopolitical factors add another layer of complexity. China’s record chip exports of $89.85 billion in the first seven months of 2024, despite U.S. sanctions, highlight shifting dynamics that could pressure Samsung, as discussed in X posts by Barrett. Samsung’s response includes bolstering domestic capabilities, such as the joint task force for a Galaxy-only chip by 2025, echoing earlier strategies reported in X threads from Anthony dating back to 2022.
Looking ahead, Samsung’s semiconductor outlook hinges on AI recovery evidence, with traditional equipment investments poised to rebound once cycle improvements materialize, per the Sourceability analysis. The resolution of excess inventory is paving the way for growth, but challenges like Intel’s Arrow Lake setbacks and Huawei’s R&D surges, as per X semiconductor news from inni world, underscore the need for agility.
Innovation Beyond Chips: Foldables and Emerging Tech
In foldables, Samsung’s Galaxy Z Fold 7 and Flip models are stacking up well against competitors like Motorola and Google, with expert reviews from ZDNet praising next-gen features. The tri-fold Galaxy G-Fold, detailed in Gadget Hacks, promises to redefine multitasking with its expansive
Tools & Platforms
[News] TSMC Partners with Technical University of Munich to Establish AI Chip R&D Center in Bavaria

According to Liberty Times, citing German media outlet BR24, the Bavarian state government has announced a collaboration with TSMC to establish an AI chip research and development center at the Technical University of Munich (TUM).
The center, officially named the Munich Advanced-Technology Center for High-Tech AI Chips (MACHT-AI), will be led by Professor Hussam Amrouch of TUM. As the report indicates, the move deepens cooperation with TSMC and seeks to strengthen Europe’s chip design capabilities.
The report notes that funding for the AI chip R&D center will come jointly from Bavaria’s Ministry of Science and Ministry of Economic Affairs, with a total budget of about EUR 4.5 million.
For this AI chip center, the report highlights that TSMC will provide technical support, focusing on the development of high-performance, customizable AI chips, while also training students and researchers in manufacturing processes such as FinFET.
As the report mentions, in May TSMC announced at the Europe Technology Symposium that it would establish a chip design center in Munich to help European customers develop high-performance chips for automotive, artificial intelligence, and industrial IoT applications, with operations slated to begin in the third quarter of this year.
eeNews Europe indicates that TSMC’s decision to set up a chip design center in Europe may have been motivated by the region’s shortage of advanced design expertise and the need to provide close support for customers in maximizing the value of the wafer fab it is building in Dresden.
In August 2024, ESMC—TSMC’s joint venture with Bosch, Infineon, and NXP—broke ground in Dresden on what will be the EU’s first FinFET-capable pure-play foundry. When fully operational, ESMC is expected to produce 40,000 300mm (12-inch) wafers per month on TSMC’s 28/22nm planar CMOS and 16/12nm FinFET process technologies, as its press release indicates.
Read more
(Photo credit: TSMC)
Please note that this article cites information from Liberty Times, BR24, the Bavarian state government, eeNews Europe, and TSMC.
Tools & Platforms
Tech CEO lets employees cancel meetings to experiment with AI

But the number of qualified candidates is falling short, according to the report, with the supply of such talent only reaching less than 645,000 in the next two years in the US.
Sarah Elk, Americas head of AI, Insights, and Solutions at Bain & Company, previously noted that executives see the AI talent gap as a major roadblock to innovation.
“Companies navigating this increasingly competitive hiring landscape need to take action now, upskilling existing teams, expanding hiring strategies, and rethinking ways to attract and retain AI talent,” Elk said in a previous statement.
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