BTC $75,743.25 -0.08%
ETH $2,232.02 -0.42%
BNB $695.06 +0.19%
XRP $1.14 +0.43%
SOL $88.97 -1.06%
TRX $0.3201 +0.86%
DOGE $0.0711 -0.92%
ADA $0.1797 -2.24%
BCH $247.26 -5.91%
LINK $10.74 -0.41%
HYPE $77.06 -2.55%
AAVE $130.66 +0.05%
SUI $0.8500 -1.75%
XLM $0.1498 -1.53%
ZEC $1,255.07 -4.66%
AAPL $342.12 -0.16%
AMZN $259.33 -0.23%
GOOGL $284.31 -0.59%
MSFT $529.84 -0.46%
META $610.87 -0.32%
NVDA $187.09 -0.43%
TSLA $358.24 -0.16%
SNDK $831.76 -0.82%
INTC $56.08 -0.53%
SPCX $134.96 -0.22%
MU $690.85 -0.51%
AMD $446.06 -0.17%
BTC $75,743.25 -0.08%
ETH $2,232.02 -0.42%
BNB $695.06 +0.19%
XRP $1.14 +0.43%
SOL $88.97 -1.06%
TRX $0.3201 +0.86%
DOGE $0.0711 -0.92%
ADA $0.1797 -2.24%
BCH $247.26 -5.91%
LINK $10.74 -0.41%
HYPE $77.06 -2.55%
AAVE $130.66 +0.05%
SUI $0.8500 -1.75%
XLM $0.1498 -1.53%
ZEC $1,255.07 -4.66%
AAPL $342.12 -0.16%
AMZN $259.33 -0.23%
GOOGL $284.31 -0.59%
MSFT $529.84 -0.46%
META $610.87 -0.32%
NVDA $187.09 -0.43%
TSLA $358.24 -0.16%
SNDK $831.76 -0.82%
INTC $56.08 -0.53%
SPCX $134.96 -0.22%
MU $690.85 -0.51%
AMD $446.06 -0.17%

grayscal

All
Article
Flash

first_img Grayscale Research Director: The decline in computing power stocks, demand will still be maintained

Grayscale Research Director Zach Pandl stated in "The Stack" published on October 20, 2026: AI computing infrastructure stocks have recently declined due to investors' concerns about rising borrowing costs, while the financing needs of related companies are high. The stock index, which includes AI cloud service providers CoreWeave and Nebius, has fallen by approximately 27% since the end of September, according to data from Bloomberg and Grayscale Investments, based on the Indxx High-Performance Computing Index, as of October 19, 2026.Pandl noted: Most of these companies are in early stages and capital-intensive, with some neocloud capital expenditures being several times their current revenue. The top five holdings in the index have a capital expenditure to sales ratio exceeding 230% over the past 12 months, with data as of October 19, 2026. He believes that while stock prices are correcting, the demand and prices for computing power remain stable, with demand for computing power increasing rather than decreasing.He also anticipates: The decline in token prices and the increase in AI agent usage will lead to higher inference demand, thereby supporting the growth of computing power demand; if demand increases and computing power prices remain high, these companies may benefit. He also mentioned the slowdown in GPU depreciation, as well as the overlap between AI computing power and the Bitcoin mining industry, with the possibility of rising Bitcoin prices. Pandl believes: Higher borrowing costs have suppressed computing infrastructure stocks, but the fundamental trend of rising computing power demand remains valid, and this correction should be seen as an opportunity to increase exposure to the energized compute layer.

first_img Grayscale Research Director: Cheaper Proxy AI Will Drive Up Computing Power Demand

Grayscale's Research Director Zach Pandl stated in his column The Stack on October 8 that the rising demand for AI is due to decreasing usage costs and technology's ability to perform tasks more autonomously, thereby increasing the demand for computing power and the physical infrastructure that supports AI. Lower costs can unleash more AI activities, and the low-cost competition of open-source weight models is driving down token prices, making cheaper intelligence economically viable for more applications and automated workflows.The article cites that Anthropic's latest Sonnet model claims to reduce the cost of each task by up to 30%; OpenAI's always-on agent dots, launched on September 29, can work towards user goals around the clock, potentially significantly increasing the demand for computing power. Pandl compares that chatbots primarily answer questions, while agents execute multi-step processes to achieve goals, with tasks like preparing for client meetings potentially consuming 5 to 50 times the tokens of a single chat interaction, and always-on agents may extend processing beyond a single conversation.Pandl cites Goldman Sachs' prediction that by 2030, token consumption could increase 24 times, primarily driven by agents; even with improved efficiency, if usage grows faster, the total demand for computing power may still rise. He points out that digital activities still rely on physical infrastructure that requires time to deliver, such as electricity, data centers, and GPUs, and cheaper AI can coexist with tight computing power supply, mentioning that CoreWeave recently signed new contracts at higher computing power prices. His conclusion is that cheaper intelligence and stronger agents may expand use cases and usage enough to offset efficiency gains, thereby supporting the demand for scarce computing power and benefiting its owners.
app_icon
ChainCatcher Building the Web3 world with innovations.