Today's Must-Read | Twitter Featured Views [October 29th]
1. Biupa-TZC: Strong trend analysis of Bitcoin under the "rise instead of fall" model
2. Eric Million: Neiro and SUI's Trading Views
3. Nachi: $SOL Trading View
4. Rui: VC cost considerations in counterfeit products transactions
5. Wind without direction: Musk's political bet is a potential opportunity for DOGE
6. Master Pang: Beware of the Meme Coin Trap: It Will Only Accelerate the Bankruptcy of Retail Investors
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Fear is the biggest short! Morgan Stanley calls for bottom-fishing in semiconductors: land and electricity shortages are not a problem, approved projects can't meet demand
Morgan Stanley believes that the recent sell-off in the semiconductor sector has been excessive, and that market panic rather than fundamentals is the biggest risk. Driven by demand for AI infrastructure, downstream orders continue to accelerate, with semiconductor supply remaining the core bottleneck. LPS constraints actually make growth more stable. The sector may fluctuate within a range in the short term and is currently near the bottom; prospects for the computing power and storage subsectors are favorable.

Indian Rupee extends rally amid continued FIIs buying, lower oil prices

Hashrate orders are booming, why is "AI trading" falling out of favor? JPMorgan reveals the time lag between AI investment and productivity realization
Joseph Lupton from the JP Morgan Global Economic Research Team pointed out in a research report on November 10 that recent improvements in labor productivity have been driven more by capital deepening and increased intensity of factor utilization. The broad efficiency gains from AI, resulting from process reconstruction, data integration, and organizational adjustments, will still take time to materialize. This means orders for chips, servers, and electrical equipment may grow first, but continuous investment returns for computing power operators and end users may not arrive at the same pace.
AI investment enters the "Trough of Disillusionment", the next 18 months will be a life-or-death test!
Goldman Sachs believes that the AI investment cycle is currently in the "trough of disillusionment," but this is not the first time. The core contradiction lies in the fact that the business models of new cloud computing providers are highly dependent on end-user returns from AI spending, while currently "there are basically zero companies that can attribute profits to AI." Social Capital founder Palihapitiya has clearly defined an 18-month key window, during which the market will decide which AI business models are sustainable and which are not.

![Today's Must-Read | Twitter Featured Views [October 29th] image 0](https://img.bgstatic.com/multiLang/web/8e1199d7822fef00d2ec95133764186d.png)