AI market momentum continues to strengthen, but “AI-related” doesn’t automatically mean that all underlying assets will rise in sync. Focus on three key areas:
1. Compute power and semiconductors: Nvidia $NVDAB , Broadcom $AVGOB , and TSMC $TSMB . Pay close attention to AI chip demand, order visibility, advanced process technology, and whether capital expenditures can continue to be delivered.
2. Data centers, power and cooling: Vertiv (VRT) and Eaton (ETN). The core of this theme isn’t “riding the AI wave.” It’s whether data center expansion can translate into demand for power equipment, distribution, and cooling. Individual stocks still need to distinguish between order growth and valuation expansion.
3. Software and application layer: Microsoft (MSFT), ServiceNow (NOW), and Palantir (PLTR). The key is whether AI features can be converted into real customers, revenue, and profits—not just product launches or market narratives. Software and AI hardware are like two sides of the same coin right now; using software to take a defensive position against hardware is the market’s performance over these past two months.
What you need to be wary of is that some companies’ valuations may have already priced in optimistic expectations in advance. Price gains indicate the market is trading expectations, but they don’t prove that performance will necessarily materialize. Going forward, it’s even more important to track orders, cash flow, customer concentration, and capital expenditure returns.
Also, event-driven stock surges like the one after Meta released Muse—up 20%+—are worth watching too, especially whether there are similar developments in the news. If “less noticeable” events occur, event trading may also be possible.
Do you think the next phase of the AI market will continue to focus on compute power, or expand into power, data centers, and software applications? Feel free to share your view or holdings.
Trading involves risk, and this article does not constitute investment advice.
#AI股持续上涨还有哪些投资机会
1. Compute power and semiconductors: Nvidia $NVDAB , Broadcom $AVGOB , and TSMC $TSMB . Pay close attention to AI chip demand, order visibility, advanced process technology, and whether capital expenditures can continue to be delivered.
2. Data centers, power and cooling: Vertiv (VRT) and Eaton (ETN). The core of this theme isn’t “riding the AI wave.” It’s whether data center expansion can translate into demand for power equipment, distribution, and cooling. Individual stocks still need to distinguish between order growth and valuation expansion.
3. Software and application layer: Microsoft (MSFT), ServiceNow (NOW), and Palantir (PLTR). The key is whether AI features can be converted into real customers, revenue, and profits—not just product launches or market narratives. Software and AI hardware are like two sides of the same coin right now; using software to take a defensive position against hardware is the market’s performance over these past two months.
What you need to be wary of is that some companies’ valuations may have already priced in optimistic expectations in advance. Price gains indicate the market is trading expectations, but they don’t prove that performance will necessarily materialize. Going forward, it’s even more important to track orders, cash flow, customer concentration, and capital expenditure returns.
Also, event-driven stock surges like the one after Meta released Muse—up 20%+—are worth watching too, especially whether there are similar developments in the news. If “less noticeable” events occur, event trading may also be possible.
Do you think the next phase of the AI market will continue to focus on compute power, or expand into power, data centers, and software applications? Feel free to share your view or holdings.
Trading involves risk, and this article does not constitute investment advice.
#AI股持续上涨还有哪些投资机会