All articles tagged with #dot com bubble
Even as the Nasdaq rose to a fresh high and the S&P 500 climbed, breadth was weak with more S&P 500 stocks hitting 52-week lows than highs — a 1999-like signal that suggests the rally could be narrow and vulnerable if tensions persist, energy stays elevated, or the Fed keeps hiking.
The S&P 500’s cyclically adjusted price-earnings (CAPE) ratio has topped 40 for five straight months—the highest stretch since the dot-com era—hinting at potential bear-market risks if history repeats. But the AI surge is lifting earnings growth (analysts expect ~31% this year) and adoption is rapid, suggesting valuations may be justified for now. The piece warns CAPE is backward-looking and notes several key differences between the current AI-driven rally and the 1990s internet boom, leaving the ultimate outcome uncertain.
The S&P 500’s Shiller CAPE ratio has stayed above about 40 since early May 2026, a level last seen during the dot-com bubble, suggesting stretched valuations. Yet history shows no two bear markets are alike, and remaining invested with selective, quality buys may be safer than trying to time a crash; Crestmont research notes positive returns over every 20-year period since 1919, underscoring the case for long-horizon investing even amid volatility.
The CAPE ratio sits around 42, near dot-com-era highs, suggesting the market is expensive, though today’s AI-driven leadership is driven by profitable tech rather than the unprofitable dot-coms. History isn’t a guarantee of the future, so the article cautions against market timing and endorses a long-term approach through dollar-cost averaging, with Motley Fool Stock Advisor highlighting potential stock ideas rather than a direct market call.
U.S. stocks sit at record highs while the Shiller CAPE ratio climbs toward the dot-com era peak (about 44), currently around 41, signaling valuations may be stretched relative to earnings. The piece stresses that CAPE isn’t a crash predictor but argues for selective investing—favoring financially strong companies—while noting Nvidia’s prominence in the rally and warning about AI-driven hype.
An AI-focused hedge fund, Situational Awareness, reportedly sold most of its portfolio after a 67% loss, sparking renewed concerns about the sustainability of AI investment bets and a possible market shakeout; founder Leopold Aschenbrenner, once hailed as a futurist, faced skepticism, while Ken Griffin's Citadel stepped in to take on the positions, highlighting tension between hype and reality in the AI funding surge.
Jim Cramer warns that Nvidia's $250 billion OpenAI data-center financing guarantees resemble the vendor-financing schemes that helped derail telecom stocks in the dot-com era, flagging counterparty risk as OpenAI burns cash and Nvidia carries large supply commitments. Despite Nvidia's strong Q1 results, market skepticism grows with AI stock concentration in the S&P and questions about who can back payments if customers falter.
Intel's stock is rallying to levels not seen since the dot-com era, trading above its 200-day moving average by the largest margin on record and up about 200% this year, fueled by progress on its 18A manufacturing process, the Core Ultra Panther Lake CPUs, and expectations of US-led foundry engagements, plus backing from partnerships with Apple and Google and government/Nvidia investments, though the rally remains subject to ongoing chip-market volatility.
Valuations are around a CAPE of 41.7—one of the highest readings in 155 years, peaking near 42.84 this cycle and well above the 155-year average, with the dot-com era high at 44.19. History suggests such extremes can precede declines, though long-term investors have historically prospered by staying invested. The rally has been driven by AI, earnings, stock splits, and buybacks, but timing risk remains and a cautious, long-term approach is advised.
A market researcher warns that surprisingly low valuations for AI stocks may signal investor fear that the AI data-center boom could slow; if AI adoption underwhelms, demand for chips and related infrastructure could fall, potentially sparking a market pullback akin to the dot-com bust, with examples like Nvidia, Micron, Broadcom and SanDisk trading at modest forward P/Es versus the S&P 500’s ~21.5.
The S&P 500 closed at a record on the last trading day of May, but only about 20 index members hit new highs, most tied to AI. This narrow leadership echoes the dot-com bubble top in 2000, a pattern Bank of America’s Michael Hartnett says could signal a nearing top as breadth deteriorates. The May surge was driven by semiconductors and AI-related names (AMD up 46%, Micron 88%, Samsung 44%, SK Hynix 81%), while internals like advances–declines and the share of stocks above their 200-day moving average suggest fragility. Hartnett advises a post-bubble playbook of long bonds and defensives if the rally loses momentum.
Burry warns the AI-driven tech rally is approaching bubble-like levels and urges investors to reduce exposure to tech stocks and raise cash, cautioning against widespread short selling. He hasn’t named exact stocks to dump, but he singles out Tesla, Nvidia and Alphabet as risky bets, and notes he maintains a leveraged short portfolio as a hedge against overvaluation while advising that most people should not short the market.
Investor Michael Burry argues the blistering market rally is on the verge of a major reversal, citing valuation concerns and patterns reminiscent of the dot-com bust. He highlighted strength in tech and semiconductors but warned of potential triggers—like Iran tensions, higher oil prices, or a private-credit contagion—and said he has taken significant leveraged short positions against what he sees as overpriced stocks, advising investors to cut exposure to high-momentum tech.
Michael Burry argues today’s AI-driven stock rally mirrors the late-1990s dot-com peak, with prices rising even as economic data falter. He points to the Philadelphia Semiconductor Index’s rapid 2026 gains and says the market is moving on a simple “up and up” thesis. Fellow investor Paul Tudor Jones also warns of a potential dramatic correction if valuations stay stretched, though he sees the rally possibly lasting another year or two.
The piece draws a parallel between OpenAI’s missed user and revenue targets and the dot-com bust, suggesting that even if OpenAI becomes the “Amazon of AI,” the market is finite and valuations can plunge as competitors close in. Using Amazon’s 1999–2000 wobble as a cautionary tale, it argues that long-run shareholder value requires real profits, not just hype, and that most AI startups may fail in a Darwinian shakeout while a few survive to dominate the field.