Analysts compare current AI-driven market divergence to the dot-com bubble, cautioning investors to remain disciplined amid stretched valuations and rising warnings signs.
Long-term investors may recognise the uneasy feeling: when a market climbs to fresh highs, it can sometimes mask a widening split beneath the surface. That is the concern now circulating on Wall Street, where some strategists see echoes of the late 1990s in the behaviour of artificial intelligence shares.
According to JPMorgan Chase strategist Jason Hunter, one of the clearest warning signs is the gulf opening between semiconductor and memory stocks tied to AI demand and the big technology groups spending heavily to build out AI infrastructure. Micron, which supplies memory chips for data centres, has surged sharply this year, while some of the largest spenders on the AI build-out, including Amazon and Microsoft, have lagged. Hunter described the pattern as similar to the 1999-2000 period, when hardware-related internet stocks raced ahead of the companies funding the boom.
The comparison is unsettling because the dot-com era also featured a split between the picks-and-shovels winners and the firms laying out the capital. That divergence did not end well the last time. The S&P 500 fell almost half between January 2000 and July 2002, while the Nasdaq-100 lost more than 80% before recovering.
There are broader reasons some analysts are growing cautious. Citi Research’s Bear Market Checklist, which tracks 18 indicators including valuation measures and credit conditions, has recently shown 10 global warning flags and 11.5 in the US, the highest reading since the 2008 crisis, though still below the levels seen before the dot-com collapse. Valuations are also stretched: the Shiller cyclically adjusted price-to-earnings ratio for the S&P 500 is at its highest level since early 2000, while Warren Buffett’s preferred market-cap-to-GDP gauge has climbed to a record 233.8%.
Even so, neither JPMorgan nor Citi is forecasting immediate disaster. JPMorgan said in its 2026 mid-year review that it continues to see fragmentation, inflation and AI as the main forces shaping portfolio returns. Citi, too, still expects markets to hold up reasonably well for the rest of the year, even as it warns that conditions can deteriorate quickly once multiple checklist items are flashing red.
That tension between caution and optimism is echoed elsewhere. Apollo Global Management chief economist Torsten Sløk has argued that the AI investment wave may ultimately prove even more dangerous than the dot-com bubble, given the scale of capital now chasing the theme. His warning is a more extreme version of the same basic fear: that investors are again paying too much for a story before the profits arrive.
For now, the message from Wall Street is not to panic, but to be selective. Higher valuations can be justified for some businesses, but not all. Keeping some cash ready for a pullback, and being disciplined about what is bought at current prices, may be more sensible than chasing every AI-linked rally. History does not repeat exactly, but markets have a habit of reminding investors that it often rhymes.
- https://www.fool.com/investing/2026/07/05/warning-the-stock-market-is-doing-something-last-s/ – Please view link – unable to able to access data
- https://www.fool.com/investing/2026/07/05/warning-the-stock-market-is-doing-something-last-s/ – This article discusses the similarities between the current stock market trends and the dot-com bubble of the early 2000s. It highlights a divergence between AI hardware stocks, like Micron, which have seen significant gains, and major tech companies investing heavily in AI infrastructure, such as Amazon and Microsoft, which have experienced negative returns. The piece also references a report by JPMorgan Chase’s Jason Hunter, who warns of this growing divergence, drawing parallels to the 1999-2000 period. Additionally, it mentions Citi Research’s Bear Market Checklist, which identifies multiple warning signs, including high stock valuations, reminiscent of the pre-dot-com crash era.
- https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-bubble-is-worse-than-the-dot-com-crash-that-erased-trillions-economist-warns – This article features insights from Torsten Sløk, chief economist at Apollo Global Management, who warns that the current AI investment boom presents greater risks than the dot-com bubble of the early 2000s. He argues that leading AI companies, including Apple, Microsoft, Google/Alphabet, Meta, Amazon, and OpenAI, are significantly overvalued, with stock prices disconnected from their earnings potential. Sløk suggests that while the dot-com burst saw trillions wiped from the market, the AI bubble could result in an even more severe crash due to the greater magnitude of investment and speculation.
- https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-bubble-is-worse-than-the-dot-com-crash-that-erased-trillions-economist-warns – This article features insights from Torsten Sløk, chief economist at Apollo Global Management, who warns that the current AI investment boom presents greater risks than the dot-com bubble of the early 2000s. He argues that leading AI companies, including Apple, Microsoft, Google/Alphabet, Meta, Amazon, and OpenAI, are significantly overvalued, with stock prices disconnected from their earnings potential. Sløk suggests that while the dot-com burst saw trillions wiped from the market, the AI bubble could result in an even more severe crash due to the greater magnitude of investment and speculation.
- https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-bubble-is-worse-than-the-dot-com-crash-that-erased-trillions-economist-warns – This article features insights from Torsten Sløk, chief economist at Apollo Global Management, who warns that the current AI investment boom presents greater risks than the dot-com bubble of the early 2000s. He argues that leading AI companies, including Apple, Microsoft, Google/Alphabet, Meta, Amazon, and OpenAI, are significantly overvalued, with stock prices disconnected from their earnings potential. Sløk suggests that while the dot-com burst saw trillions wiped from the market, the AI bubble could result in an even more severe crash due to the greater magnitude of investment and speculation.
- https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-bubble-is-worse-than-the-dot-com-crash-that-erased-trillions-economist-warns – This article features insights from Torsten Sløk, chief economist at Apollo Global Management, who warns that the current AI investment boom presents greater risks than the dot-com bubble of the early 2000s. He argues that leading AI companies, including Apple, Microsoft, Google/Alphabet, Meta, Amazon, and OpenAI, are significantly overvalued, with stock prices disconnected from their earnings potential. Sløk suggests that while the dot-com burst saw trillions wiped from the market, the AI bubble could result in an even more severe crash due to the greater magnitude of investment and speculation.
- https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-bubble-is-worse-than-the-dot-com-crash-that-erased-trillions-economist-warns – This article features insights from Torsten Sløk, chief economist at Apollo Global Management, who warns that the current AI investment boom presents greater risks than the dot-com bubble of the early 2000s. He argues that leading AI companies, including Apple, Microsoft, Google/Alphabet, Meta, Amazon, and OpenAI, are significantly overvalued, with stock prices disconnected from their earnings potential. Sløk suggests that while the dot-com burst saw trillions wiped from the market, the AI bubble could result in an even more severe crash due to the greater magnitude of investment and speculation.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
7
Notes:
The article references recent analyses from JPMorgan Chase and Citi Research, dated July 3, 2026, and June 6, 2026, respectively. ([fxleaders.com](https://www.fxleaders.com/news/2026/07/03/meta-msft-amzn-and-google-stocks-under-spotlight-as-jpmorgan-draws-1999-market-parallel/?utm_source=openai)) The content appears to be original, with no evidence of recycling or republishing from low-quality sites. However, the narrative closely follows these recent analyses, which may limit its originality.
Quotes check
Score:
6
Notes:
The article includes direct quotes attributed to JPMorgan Chase strategist Jason Hunter and Citi Research’s Bear Market Checklist. While these quotes are consistent with the referenced sources, they cannot be independently verified without access to the original reports. The lack of direct access to these reports raises concerns about the verifiability of the quotes.
Source reliability
Score:
8
Notes:
The article cites analyses from reputable financial institutions: JPMorgan Chase and Citi Research. However, without direct access to the original reports, the reliability of the information is uncertain. The article’s reliance on these sources without independent verification is a concern.
Plausibility check
Score:
7
Notes:
The claims about market conditions and comparisons to the late 1990s dot-com era are plausible and align with known market trends. However, the lack of independent verification and reliance on potentially paywalled sources diminishes the overall credibility of the claims.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article summarises analyses from reputable financial institutions but lacks direct access to the original reports, raising concerns about the verifiability and completeness of the information. The reliance on potentially paywalled sources and the absence of independent verification sources further diminish the overall credibility of the content.