MarketsAI Chips and Bitcoin: Trends Amid Market Corrections
While structural changes can lead to enduring opportunities, the rapid price surges in semiconductors, metals, and bitcoin demonstrate how quickly a positive narrative can spiral into speculative excess.
By James Van Straten|Edited by Jamie Crawley Jul 13, 2026, 9:32 a.m. 2 min readMake preferred on ShareShare this articleCopy linkX (Twitter)LinkedInFacebookEmailMake preferred on
SummaryShow- The surge in AI infrastructure led to remarkable valuations for memory-chip manufacturers, followed by swift declines.
- Similar trends in precious metals and Strategy illustrate that authentic long-term trends can still be affected by market fluctuations.
- The key takeaway is that while structural trends can be valid, their valuations may be subject to cyclical changes.
The phrase "paradigm shift" is frequently used too casually, often referring to rapid asset rotations, with the current AI semiconductor boom serving as a prime example.
Tech giants like Amazon (AMZ) and Google (GOOG) are investing heavily in data centers equipped with numerous AI accelerators, which require vast amounts of high-bandwidth memory for processing tasks and NAND flash for data storage. This demand has tightened supply and driven up chip prices.
Micron Technology (MU) manufactures DRAM, NAND, and other memory products, while Sandisk (SNDK) focuses on NAND flash and solid-state storage solutions. Micron saw a nearly 700% year-on-year increase, while Sandisk's value soared by over 4,000%. However, both have since retreated from their peak values, highlighting the rapid shift in market sentiment.
This enthusiasm led to the largest U.S. IPO ever by SpaceX (SPCX), and SK Hynix (00060), a top high-bandwidth memory supplier, raised $26.5 billion in the largest-ever U.S. listing by a foreign entity. Although its ADRs initially soared, subsequent fluctuations revealed the risks of investing during peak optimism, with SK Hynix's shares dropping 15% during Asian trading hours.
Precious metals have exhibited a similar trajectory. Gold and silver experienced a surge linked to the “debasement trade,” based on the belief that government borrowing, money supply expansion, and inflation would diminish fiat currency value. Silver prices increased by over $120 in January 2026, only to decline by as much as 50%, while gold faced a less severe drop.
Strategy (MSTR), the largest corporate holder of bitcoin, encountered its own transformative period as the “infinite money glitch” diminished. The company issued shares exceeding the value of its bitcoin assets and reinvested the proceeds into bitcoin. Since then, its value has plummeted approximately 80% from its peak, with the premium shrinking to around net asset value.
The lesson remains that structural trends can indeed be valid, while their valuations may fluctuate cyclically.
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Digital Assets: Quarterly Review and Outlook Q2
Digital Assets: Quarterly Review and Outlook Q2
Digital assets experienced their third consecutive quarterly loss in Q2 2026, marking the longest losing streak since the 2022 bear market. Institutional investments have shifted towards AI stocks, while Bitcoin ETFs have seen their largest quarterly outflow since their inception. Our analysis explores the reasons for this divergence, the continued structural adoption, and the key indicators to monitor for Q3.
By CoinDesk ResearchJul 10, 2026Digital assets experienced their third consecutive quarterly loss in Q2 2026, marking the longest losing streak since the 2022 bear market. Institutional investments have shifted towards AI stocks, while Bitcoin ETFs have seen their largest quarterly outflow since their inception. Our analysis explores the reasons for this divergence, the continued structural adoption, and the key indicators to monitor for Q3.
Why it matters:
Digital assets experienced their third consecutive quarterly loss in Q2 2026, marking the longest losing streak since the 2022 bear market. Institutional investments have shifted towards AI stocks, while Bitcoin ETFs have seen their largest quarterly outflow since their inception. Our analysis explores the reasons for this divergence, the continued structural adoption, and the key indicators to monitor for Q3.
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