Technology Stocks Sell Off as Crypto Struggles: Is the AI Investment Opportunity Getting More Attractive?
Market analysis based on research and commentary from Invest Answers.
Recent market movements have been unusual, with significant losses across cryptocurrency and technology stocks. Billions of dollars have been wiped from the valuations of major companies, institutional money has been leaving Bitcoin and Ethereum ETFs, and investors have been reassessing the risks associated with the enormous spending commitments behind artificial intelligence.
Yet beneath the market weakness, there are some interesting developments. Semiconductor valuations have fallen sharply, demand for AI computing remains strong, and companies such as AMD and Broadcom are gaining attention as alternatives to Nvidia.
The important question is whether this represents the beginning of a more serious downturn or a correction that is creating opportunities for investors with a longer time horizon.
Cryptocurrency Faces a Difficult Period
The cryptocurrency market has been under considerable pressure. Over the seven-day period covered in the latest analysis, Bitcoin declined by approximately 5%, Ethereum by 10%, XRP by 16% and Solana by 10%. The Crypto Fear and Greed Index stood at 32, indicating a market dominated by fear.
One of the clearest explanations for the weakness is the withdrawal of institutional capital through exchange-traded funds (ETFs). Bitcoin ETFs recorded approximately $1.2 billion in outflows during the previous week, with withdrawals occurring in five of the preceding six weeks.
BlackRock’s Bitcoin fund was among the sources of significant selling. This is particularly relevant because ETF activity has become an important influence on cryptocurrency prices. When institutional investors are purchasing Bitcoin through these funds, they create additional demand. When those flows reverse, the effect can be equally significant in the opposite direction.
Ethereum has experienced even greater relative pressure. Its ETFs have recorded substantial withdrawals, sometimes approaching $200 million in a single day. Solana has also experienced five consecutive weeks of outflows, though the amounts have been smaller.
The figures highlighted in the analysis suggest that purchasing approximately 10,000 Bitcoin through ETFs has historically been associated with a monthly return of around 3.2%. The estimated influence of Bitcoin treasury companies is considerably smaller, at approximately 0.7%.
This distinction matters when assessing the prospects for a recovery. The buying activity of institutional ETF investors may be more influential than announcements about individual companies adding Bitcoin to their balance sheets.
Bitcoin’s Relationship With Technology Stocks
Bitcoin is also becoming increasingly correlated with the wider equity market. Its 30-day correlation with the S&P 500 has reached approximately 0.8, the highest reading in nearly five years.
Correlation measures how closely two assets move in relation to each other. A reading of 1 indicates that they move perfectly together, while zero indicates no meaningful relationship. At 0.8, Bitcoin is showing a strong tendency to follow the direction of the broader stock market.
This challenges the idea that Bitcoin provides reliable short-term protection against weakness in traditional financial markets. Its long-term role as an alternative monetary asset is a separate question, but recent trading behaviour suggests that it remains heavily influenced by institutional liquidity and investor appetite for risk.
There is also a historical argument for patience. The drawdown analysis presented suggests that corrections of this magnitude have previously required approximately 12 to 18 months to recover. The current cycle has already been in its drawdown phase for around 390 days.
A rapid recovery is possible, but it would probably require a significant change in market conditions, particularly a return of substantial ETF inflows. Without that, investors should be prepared for a prolonged period of volatility.
Capital Is Moving Towards Artificial Intelligence
One of the more interesting developments is the apparent movement of speculative capital away from cryptocurrency and towards AI-related equities.
Trading activity on decentralised platforms such as Hyperliquid and Jupiter suggests that equity trading volumes have overtaken Bitcoin trading volumes, reaching approximately 126% of Bitcoin’s trading activity.
Companies such as SanDisk and Micron are attracting traders who were previously more focused on cryptocurrency. This suggests that AI infrastructure has become a preferred destination for speculative capital.
The same rotation is taking place within the technology sector. Following Nvidia’s recent weakness, investors have been looking towards other semiconductor companies, particularly AMD and Broadcom.
This does not necessarily indicate that money is leaving the AI sector. It may instead represent a redistribution of investment between companies involved in the same broader growth trend.
Semiconductor Valuations Have Fallen Sharply
The recent technology sell-off has been substantial. The 20 largest market capitalisation losers reportedly lost approximately $5.6 trillion in value over the previous month, with Nvidia alone accounting for around $1.2 trillion.
Yet the most interesting aspect of the correction is the effect on valuations.
The Nasdaq 100’s forward price-to-earnings ratio has fallen to its lowest level since October 2022. According to the figures presented, it is now around the first percentile of its five-year valuation range.
The semiconductor sector has experienced an even more pronounced adjustment. The two-year forward P/E ratio of the Philadelphia Semiconductor Index has fallen from above 30 to approximately 10.
The forward P/E ratio compares a company’s current share price with its expected future earnings. A multiple of 10 means investors are paying approximately $10 for every $1 of forecast annual earnings.
These figures need to be considered alongside earnings growth. If semiconductor companies continue expanding their revenues and profits, lower valuations could provide an attractive starting point for longer-term investors.
There are no guarantees, of course. Earnings forecasts can be revised downwards, and valuations can become cheaper still during a prolonged downturn. But the combination of lower multiples and continuing demand for AI infrastructure is worth watching.
The semiconductor index has also experienced an extraordinary short-term correction, falling approximately 22% in five trading days. Such rapid declines can reflect forced selling, margin calls and widespread reductions in risk rather than a sudden deterioration in the underlying businesses.
For investors with available cash, these periods can provide opportunities to acquire shares at more reasonable valuations. The challenge is distinguishing temporary market pressure from genuine deterioration in a company’s prospects.
Credit Risk Is Becoming a Concern
There is one development that deserves closer attention. Credit markets are beginning to price semiconductor companies as riskier than some of the large technology businesses purchasing their products.
The cost of default protection for chip manufacturers, including Nvidia, Broadcom and Intel, has moved above the equivalent measure for major hyperscalers such as Microsoft, Amazon, Meta and Oracle.
Credit default protection is a financial measure used to assess the perceived risk of a company failing to meet its debt obligations. Rising costs suggest that investors are becoming more concerned about the financial risks associated with these businesses.
This is not necessarily a sign of immediate financial distress, but it does raise questions about the sustainability of the enormous capital commitments being made throughout the AI industry.
Companies building data centres and developing AI infrastructure need substantial financing. If credit conditions deteriorate, investment could slow, affecting the entire semiconductor supply chain.
SpaceX’s Position in the AI Infrastructure Market
SpaceX, which remains privately held, is increasingly being discussed in the context of artificial intelligence rather than purely as a space exploration business.
Its operations span rocket launches, Starlink satellite communications and the infrastructure needed to support increasingly demanding computing requirements.
One of its potential advantages is the speed at which it can develop and deploy infrastructure. The analysis highlighted claims that a data centre could be established in approximately 66 days, compared with around two and a half years for some competing organisations.
If this speed of deployment can be maintained while generating adequate returns, it could provide a considerable advantage in an industry where computing capacity is in high demand.
Starlink also provides an established source of revenue, while SpaceX’s launch capabilities offer infrastructure advantages that conventional technology companies cannot easily replicate.
The broader investment case rests on the potential combination of satellite communications, launch services, data centres and AI computing. This makes SpaceX an unusual business, with exposure to several areas of technology that could become increasingly interconnected.
Tesla and the Future of Autonomous Transport
Tesla (NASDAQ: TSLA), the electric vehicle manufacturer and autonomous driving technology company, has another potential growth opportunity through its proposed Cybercab network.
The concept involves deploying autonomous vehicles across major metropolitan areas, initially providing local transport and potentially connecting cities and airports.
Texas provides an interesting example. A network covering Dallas, Fort Worth, Austin, San Antonio and Houston could eventually allow passengers to travel between different airports or cities without relying on conventional taxi services.
With an estimated vehicle range of approximately 300 miles, longer journeys could also become possible, depending on the final operating model.
The investment case is based on the possibility that autonomous transport could become a scalable service rather than simply another vehicle sales business.
There are still significant questions surrounding regulatory approval, operating costs, vehicle utilisation and the commercial success of autonomous driving. These factors will determine whether the opportunity translates into meaningful earnings growth.
Nvidia: Strong Demand Despite Share Price Weakness
Nvidia (NASDAQ: NVDA), the leading designer of graphics processing units and AI computing hardware, has been among the biggest losers during the recent correction.
The shares have fallen approximately 25% from their peak, marking their largest drawdown since April 2025. Some of the weakness has been attributed to negative developments and investigations surrounding the company, adding uncertainty to an already difficult market environment.
One indicator highlighted in the analysis is the deterioration in analyst sentiment. Consensus sentiment has reached approximately minus 2.6 standard deviations, an unusually negative reading compared with historical data.
Extreme pessimism can sometimes create opportunities when expectations become excessively negative. It does not guarantee a recovery, but it can indicate that much of the bad news is already reflected in the share price.
There is also evidence that demand for Nvidia’s hardware remains strong. Demand for its B200 GPUs reportedly increased by 74% over the preceding 12 weeks, with rental prices reaching approximately $10 per GPU hour.
These figures provide a useful indication of the commercial demand for computing capacity. While the stock market is reacting to uncertainty, businesses are still paying substantial amounts to access powerful AI hardware.
The distinction between share price performance and underlying business demand is important. Nvidia’s long-term prospects will depend on whether it can maintain its technological advantage and continue converting demand into revenue and earnings.
AMD Is Benefiting From AI Data Centre Growth
Advanced Micro Devices (NASDAQ: AMD) designs processors, graphics chips and other semiconductor products for computers, servers and data centres.
AMD has been one of the stronger performers during the recent rebound, gaining approximately 18% over two trading days.
The company’s latest quarterly figures help explain the interest. Data centre revenue increased 97% year-over-year to approximately $8.6 billion, substantially outperforming its other business segments.
This is particularly significant because it demonstrates how much of AMD’s growth is now connected to AI computing and data centre infrastructure.
The company is also benefiting from the demand for alternatives to Nvidia. Large technology businesses do not necessarily want to rely on a single supplier for their computing requirements, creating opportunities for competing chip manufacturers.
AMD’s ability to expand its market share will depend on product performance, supply capacity and its ability to compete with Nvidia’s established ecosystem. The latest revenue figures suggest that it is making considerable progress.
Broadcom’s Role in Custom AI Chips
Broadcom (NASDAQ: AVGO) is a semiconductor and infrastructure software company with significant exposure to networking and custom chip development.
Its shares have also rebounded strongly, gaining approximately 14% over two trading days.
Broadcom’s position in the AI market is different from Nvidia’s. Rather than concentrating primarily on general-purpose GPUs, it provides technology that helps large companies develop custom chips designed for their own computing requirements.
These application-specific integrated circuits, commonly called ASICs, are designed to perform particular tasks efficiently.
As major technology companies invest in their own AI infrastructure, the demand for custom silicon and high-speed networking could provide Broadcom with considerable growth opportunities.
Alongside AMD, Broadcom is an important company to monitor when assessing how the AI semiconductor market is developing beyond Nvidia.
The Scale of AI Investment Remains Enormous
Despite the recent market weakness, there is little evidence that the major technology companies are abandoning their AI investment programmes.
Google, Meta, Microsoft and Anthropic have accumulated an estimated $4.5 trillion in multi-year computing lease and purchase obligations, according to the figures discussed in the analysis.
These commitments reflect the enormous amount of infrastructure required to develop and operate increasingly powerful AI systems.
There are questions about how these commitments will be financed and whether every company involved will generate adequate returns. Anthropic has attracted particular attention, with reports suggesting that its potential IPO valuation has been revised from $2 trillion to approximately $1 trillion.
These reported figures should be treated cautiously, particularly before any confirmed public offering and published financial information.
The wider point is that investment in AI infrastructure remains substantial. Data centres, computing hardware, networking equipment and electricity supply will all require significant capital.
This creates opportunities for semiconductor manufacturers and infrastructure providers, but it also introduces risks. Not every company participating in the AI boom will become profitable, and some businesses may struggle when the industry eventually moves from rapid expansion towards a greater focus on returns.
The current investment cycle could continue through 2027, but 2028 is a date worth monitoring. A slowdown in capital expenditure could have a significant effect on companies whose valuations depend on continued rapid growth.
Other Companies Within the AI Investment Cycle
Several other listed businesses are positioned to benefit from the expansion of AI infrastructure, though their individual prospects differ.
- Astera Labs (NASDAQ: ALAB) develops high-speed connectivity technology used to link processors and other components within data centres.
- Marvell Technology (NASDAQ: MRVL) designs semiconductors for data centres, networking, storage and custom computing applications. Its proposed acquisition of Lumentum has also attracted attention during the recent market weakness.
- Palantir Technologies (NASDAQ: PLTR) develops data analytics and AI software for commercial organisations and government customers. Its recent share price correction follows a period of elevated market expectations.
- Alphabet (NASDAQ: GOOGL), Google’s parent company, has exposure to AI research, cloud computing, advertising and its own custom TPU processors.
- ASML (NASDAQ: ASML) supplies advanced semiconductor manufacturing equipment, including the extreme ultraviolet lithography machines needed to produce leading-edge chips.
These businesses provide different forms of exposure to the same broad investment theme. Some supply the hardware needed to build data centres, while others provide the software, connectivity and manufacturing equipment required to support the industry.
For investors, the distinction between these business models matters. Strong demand for AI does not mean every company will benefit equally, and valuations still need to be assessed individually.
Strategy and the Bitcoin Treasury Business Model
Strategy (NASDAQ: MSTR), formerly MicroStrategy, remains a major publicly traded Bitcoin treasury company.
The company has continued purchasing Bitcoin, but its financing strategy has attracted criticism, particularly its use of STRC preferred shares.
The concern is that issuing additional financial instruments may not generate the desired demand for ordinary shares or provide the same direct benefit as using available capital to purchase Bitcoin.
Strategy’s share price remains closely connected to Bitcoin’s performance, meaning investors are exposed to both cryptocurrency price movements and the additional financial risks associated with the company’s capital structure.
This is an important distinction when comparing direct Bitcoin ownership with exposure through a listed treasury company.
What Investors Should Watch Next
There are several developments that will help determine whether the current correction becomes a longer downturn or develops into a more attractive investment opportunity.
- Bitcoin ETF flows: A sustained return of institutional buying would provide support for cryptocurrency prices. Continued outflows would suggest that the market still lacks sufficient demand.
- Semiconductor valuations: Forward earnings multiples have fallen considerably, making revenue growth and future earnings estimates particularly important.
- AI computing demand: GPU utilisation, rental prices and data centre investment will help establish whether demand is keeping pace with the industry’s enormous capital commitments.
- Credit market conditions: Rising default protection costs among chip manufacturers could indicate increasing financial risk across the technology supply chain.
- Capital expenditure: The pace of AI infrastructure investment will need to be monitored closely, particularly as the industry approaches the possibility of a spending slowdown in 2028.
Conclusion
The current market weakness is a reminder that even the strongest long-term investment themes can experience severe corrections. Cryptocurrency is struggling with institutional outflows, technology stocks have suffered substantial losses, and investors are becoming more selective about which companies deserve their capital.
At the same time, semiconductor valuations have fallen considerably, while demand for AI computing remains strong. AMD and Broadcom are benefiting from interest in alternatives to Nvidia, while the wider infrastructure investment cycle continues to support companies involved in data centres, networking and advanced chip manufacturing.
I would not assume that the market has reached its bottom. There are still questions surrounding credit conditions, AI spending and the ability of businesses to generate adequate returns on their investments. But a correction of this scale can provide opportunities to reassess companies that may have become too expensive during the previous rally.
The longer-term AI investment case remains interesting, but the focus should be on business performance, financial strength and sensible valuations rather than simply following the latest market excitement.
Source acknowledgement: This article is based on market research and commentary shared by James at Invest Answers in his free YouTube content. The original analysis, charts and data are available through the Invest Answers channel. Readers looking for more detailed research and additional analysis can find further material through the Invest Answers Patreon.
