Jim Cramer's top 10 things to watch in the stock market Tuesday

The article is broadly constructive on AI and related hardware/software names, highlighting bullish calls on Dell and Apple, continued upside in Intel, and elevated strategic importance for Amazon Trainium, Western Digital, and analog-chip suppliers like Texas Instruments. It also flags a key macro backdrop of higher stock futures on hopes for a U.S.-Iran peace deal, with crude off its lows after U.S. strikes in southern Iran. On the negative side, Goldman cut Workday's target to $151 from $206 and Barclays trimmed Chewy's target to $40 from $48, while the market awaits Salesforce, Costco, and the Fed's preferred inflation reading this week.

Analysis

The cleanest read-through is not “AI is good,” but that the AI spend stack is fragmenting into more winners with less concentration in Nvidia. That tends to favor the picks-and-shovels names with integration or power advantages—Dell, Intel, the analog/power complex, and even some storage—while compressing the multiple of the legacy software layer that now has to prove it can monetise AI rather than merely advertise it. The second-order effect is that hyperscaler capex may stay elevated even if one supplier loses pricing power; the budget simply gets redistributed across chips, servers, memory, power, and integration.

Nvidia’s near-term setup looks more fragile than the headline quarter implied because the market is starting to discount a slower marginal share of AI dollars, not a collapse in demand. If Amazon’s in-house accelerator roadmap is credible, the risk to NVDA is a longer-duration gross margin debate rather than an immediate unit-volume shock, which matters because the stock is still priced for sustained monopoly economics. That makes the next 1-2 quarters less about earnings beats and more about evidence of customer substitution in cloud training workloads.

Workday is the clearest example of a software multiple that can de-rate for a non-cyclical reason: investors are beginning to ask whether AI is a feature or a wedge for broader suite replacement. If customers believe AI functionality will be bundled into adjacent platforms, WDAY’s growth durability gets questioned even if execution remains fine. Conversely, Apple’s AI positioning is potentially underappreciated because it converts AI from an enterprise cost center into a consumer upgrade driver; that broadens the buyer base and makes the stock less dependent on proof-of-concept demos.

The macro overlay matters in the short term: lower oil/geo risk helps risk sentiment, but it also reinforces a rotation into cyclical AI enablers rather than defensives. The contrarian view is that this is not a pure secular AI melt-up; it is a dispersion trade where leadership broadens, but only the names with real bottleneck control keep multiple support. Any disappointment on AI integration messaging from Dell or Apple’s WWDC could quickly reverse part of the move because positioning has likely chased the same narrative into the event window.

Key Decisions for Investors

• Long DELL into earnings (1-2 week horizon) versus short NVDA as a relative-value pair: DELL benefits if AI infrastructure integration becomes the buying criterion, while NVDA remains exposed to multiple compression if customers are diversifying accelerator spend.
• Initiate a tactical long INTC call spread into the next 1-2 months: upside is driven by foundry optionality plus CPU strength, but cap risk with a spread because the market has already rerated the story sharply.
• Fade WDAY on strength via put spreads into the next earnings window (1-2 months): the risk/reward favors downside if AI skepticism broadens from a narrative issue into budget scrutiny.
• Add AAPL ahead of WWDC on a 3-6 month horizon: use call spreads to express upside from AI-enabled ecosystem reacceleration while limiting event risk if the integration announcement is incremental.
• Own TXN/ADI on any pullback as a medium-term basket trade: power and data-center content are the underappreciated bottlenecks, and these names should benefit if AI capex broadens beyond GPUs.