US markets enter important trading tonight as investors shift focus to AI software, data platforms and chip infrastructure. For several weeks now, we’ve been reading about the AI industry primarily through Nvidia and semiconductors, but now our focus has shifted to companies that sell enterprise software, data tools, chip design software, and AI networking.
The four main companies to watch are Salesforce, Snowflake, Marvell Technology, and Synopsys. It’s not just about who wins or loses tonight. The bigger question is whether AI is starting to show up in enterprise software revenues, or whether market expectations are already moving faster than performance.
Tonight’s watchlist 📈
| stock | movement | what to see | action |
|---|---|---|---|
| CRM | Post-market report | Revenue growth, margins, guidance, Agentforce adoption, and whether AI is starting to contribute to enterprise software demand. | clock |
| snow | Post-market report | Product revenue, data cloud demand, AI workloads, and enterprise consumption trends | clock |
| MRVL | Post-market report | Demand for AI networking, custom silicon, optical networking, and hyperscalers | Additional confirmation |
| SNPS | Post-market report | EDA tool demand, chip design cycle, lead-through to AI semiconductor development | clock |
| NVDA | don’t report | Key AI sentiment gauges after recent earnings reports | possession |
| AVGO | don’t report | Readthrough from MRVL for custom silicon and AI networking | clock |
| TSM | don’t report | Benefit from continued strong demand for AI infrastructure | possession |
Tonight’s catalyst 🧨
1. Salesforce: AI software faces evaluation tests
Salesforce is the name in the headlines tonight because it is at the center of a major market debate: whether AI will become a new growth engine for software or squeeze the traditional sheet-based software model.
Investors focus on Agentforce, enterprise AI demand, margins, and guidance. Software AI sentiment could improve if Salesforce shows that AI is contributing to pipeline and monetization.
But if management appears cautious or growth isn’t strong enough, the market could put pressure on software names whose valuations reflect already high expectations for AI.
2. Snowflake: Check out your data cloud and AI workloads
Snowflake is an important name in reading the demand for enterprise data platforms. Because AI requires clean, structured, and usable data, Snowflake is a proxy for whether a company is serious about building AI workloads.
The focus is on product revenue, consumption trends, profit margins, and guidance. If Snowflake shows healthy growth, the market may read that AI spending is shifting from chips to data infrastructure.
If the results are disappointing, it may seem too early for the enterprise AI story to translate into stable software revenue.
3. Marvell: AI networking and custom silicon testing
Marvell is one of the most important names outside of Nvidia for reading AI infrastructure. The company is exposed to demand for custom chips, optical networking, and hyperscalar data centers.
The market will look for evidence that data center demand remains strong. The main focus is on custom silicon, AI networking, gross margin, and guidance for the next quarter.
If Marvell shows strong prospects, the readthrough could be positive for AVGO, TSM, and the broader AI infrastructure chain. If the outlook is too conservative, investors may question whether expectations for AI capex are too high.
4. Synopsys: AI chip cycle design tool
Synopsys is an important proxy for EDA software, a tool used for chip design. Design tools will be important in the AI cycle as chipmakers continue to develop accelerators, custom silicon, and new computing systems.
Investors will focus on guidance, demand from semiconductor customers, and commentary on AI integration in design automation.
A strong performance for Synopsys could indicate that the AI chip development cycle is still active. If it is weak, the market may decide that demand for design tools becomes more selective.
Pre-market pulse 📊
Tonight’s session will have a wait-and-see feel. Since the primary returns from CRM, SNOW, MRVL, and SNPS come after the close of trading, pre-release movements may be more driven by positioning, yield, and Nasdaq sentiment.
If the Nasdaq remains stable, traders may feel more comfortable observing event-driven setups in software and AI infrastructure. But if yields rise or megacap tech stocks underperform, even strong earnings may not pay off right away.
Recent earnings patterns show that the market isn’t just looking for good results. They are clearly looking for results that exceed expectations, especially for stocks that have already factored in AI trends.
Macro memo 📝
Macro remains an important backdrop for software and growth stocks. Higher yields typically put pressure on companies with higher premium valuations because future earnings are more sensitive to discount rates.
In other words, CRM, SNOW, MRVL, and SNPS are not tested solely on fundamentals. They are also tested on their ratings of expectations.
Strong earnings and stable yields could support software AI and AI infrastructure. However, markets may remain selective only if the outcome is consistent while macro pressures remain high.
Tonight will be a key test to see if AI trading extends from semiconductors to software, data platforms, design tools and networking.
For active traders, CRM serves as the main indicator for software AI. SNOW provides information about enterprise data and AI workloads. MRVL tests AI networking and custom silicon. SNPS provides a read-through of the AI chip design cycle.
A cleaner approach is to wait for post-earnings guidance and market reaction, rather than just reacting to headline wins and losses. Ready to trade? Click the button below to open the Gotrade app!
