New York, April 29, 2026, 05:02 EDT
- AI stocks are feeling the heat Wednesday, rattled by an OpenAI report pointing to weaker user growth and revenue. Oracle, CoreWeave, and chip names took a hit.
- Alphabet, Microsoft, Meta, and Amazon are set to release results later on Wednesday, with around $600 billion in AI investments facing increased investor scrutiny.
- The Q2 screen now zeroes in on companies delivering tangible revenue from chips, cloud demand, design tools or custom silicon—broad AI narratives just aren’t enough.
AI stocks eyeing Q2 2026 growth hit turbulence as OpenAI-linked jitters dragged the group down, right ahead of earnings from the largest U.S. tech names.
No one’s really doubting that companies are pouring money into AI at this point—they’re in. Now it comes down to Nvidia, Broadcom, Alphabet, Microsoft and a tight group of infrastructure players: can they convert those outlays into actual revenue quickly enough to justify these stretched valuations after such a steep rally?
U.S. equities slid Tuesday, the Nasdaq giving up 0.90% and the S&P 500 shedding 0.49%, after fresh worries over AI growth hit tech names. Nvidia, AMD, and Broadcom lost between 1.6% and 4.4% according to Reuters, with CoreWeave tumbling 5.8%. “You’ve got major hyperscalers coming out with results tomorrow, which probably gives investors even more reason to take a few chips off the table,” said Chuck Carlson, chief executive at Horizon Investment Services. Hyperscalers—big cloud customers—snap up massive volumes of computing gear. Reuters
Wednesday’s earnings drop right into the heart of the AI trade. Alphabet, Microsoft, Meta, and Amazon are all set to report; together, they’re on pace to pour about $600 billion into AI this year. Capex—capital expenditure—covers spending for long-term resources like servers, chips, and data centers. “What investors are looking for — us included — is what’s the return on all the capital expenditure?” Madison Investments’ large-cap portfolio manager Joe Maginot told Reuters. Reuters
Nvidia still stands out as the clearest gauge for AI chip appetite, but it’s far from quiet on that front. Both Taiwan Semiconductor Manufacturing Co and ASML have just issued more bullish outlooks—clear signs demand is solid for names like Nvidia, AMD, and Broadcom. “AI demand is so strong,” TSMC Chief Executive C.C. Wei told analysts, though he flagged ongoing capacity constraints. Reuters
Nvidia landed another industrial nod on Wednesday, as LG Electronics confirmed talks with the chipmaker around robotics, AI data centers, and mobility. This could push Nvidia’s footprint further outside the cloud, pulling it into the orbit of physical AI devices. The discussions aren’t expected to shake up near-term results, but they help explain why the stock still sits at the heart of any Q2 AI screen.
Broadcom’s situation stands apart. It’s not Nvidia—and that’s a distinction worth noting. The company partners with major clients to design custom AI chips, such as Google’s tensor processing units, and has projected AI chip revenue could top $100 billion in 2027. “Our visibility in 2027 has dramatically improved,” CEO Hock Tan told analysts after earnings. D.A. Davidson’s Gil Luria described the outlook as “very encouraging,” pointing to solid demand signals stretching well beyond the next year. Reuters
Alphabet is chasing Q2 growth from the demand side. Google Cloud boss Thomas Kurian told customers last week, “the experimental phase is behind us,” as Alphabet ramped up its push to get AI agents—digital assistants that handle tasks—built into enterprise software. CEO Sundar Pichai stuck with his 2026 capital spending target: $175 billion to $185 billion, and just over half of the machine-learning compute spend earmarked for cloud. Reuters
Microsoft’s situation isn’t so straightforward. Under the revised terms, it stays on as OpenAI’s main cloud partner, locking in access to OpenAI’s intellectual property until 2032. Plus, Microsoft secures a 20% share of OpenAI’s revenue through 2030, though there’s a cap they haven’t disclosed. Dropping exclusivity, though, opens the door for OpenAI to expand relationships with Amazon and others. “The new deal with Microsoft was essential for OpenAI to be successful in the enterprise market,” said Gil Luria at D.A. Davidson. Reuters
Microsoft’s challenge? Convincing Wall Street that Copilot will stick, and that its core software business isn’t vulnerable. Reuters put Copilot’s paid user base at just 3.3% out of 450 million enterprise customers, each paying $30 a month. “The company is going to have to speak about why their business model isn’t going to get meaningfully disrupted in AI,” said Melissa Otto, who leads research at S&P Global Visible Alpha. “Nadella has to address that.” Reuters
Cadence Design Systems isn’t always the first name that comes up in Q2’s AI stock talk. Still, the company bumped up its full-year revenue outlook Monday, crediting steady demand for its chip-design tools—these are the ones powering work on advanced systems-on-a-chip and AI accelerators. The business: electronic design automation, or EDA, a mix of software and hardware used to design and check semiconductors before they head to the factory.
Movement is picking up across the services layer. Cognizant is snapping up Astreya—an AI infrastructure and data-center services player—for roughly $600 million, according to the company’s comments to Reuters. CEO Ravi Kumar S highlighted Astreya’s production-grade infrastructure and AI tooling as a way for Cognizant to “operationalise” clients’ AI projects at scale. While the acquisition doesn’t make for an obvious stock trigger, it’s a sign of how enterprise AI spending is shifting. Reuters
The risk? Spending may start to outpace revenue. According to the Wall Street Journal, OpenAI has missed some recent targets for both user growth and revenue, raising questions about how it will fund its hefty data-center investments. Shares of Oracle and CoreWeave—key players in OpenAI’s infrastructure chain—led the decline. “We see this from time to time when you have any type of an AI heritage company, when they sell off, then it causes a ripple effect across the board,” said Todd Schoenberger, chief investment officer at CrossCheck Management. Reuters
Goldman Sachs flagged a broader risk, saying U.S. equity valuations lean heavily on projections for long-term growth. If those expectations slip, high-growth stocks could take the brunt of the fallout. The bank figures that a one-point drop in anticipated long-term growth shaves roughly 15% off the total enterprise value of S&P 500 companies, with the biggest impact landing on the high-growth names.
This quarter, investors aren’t lumping all AI names together. Nvidia and Broadcom lead the charge on chips and custom silicon; Alphabet and Microsoft have to deliver results from cloud and software. Cadence, meanwhile, stands out with its chip design tools—the classic picks-and-shovels play. From here, it’s not about AI buzzwords. The focus is on actual orders, margins, and whether the money’s coming in.
