Big Tech earnings: Solid AI momentum, but divergence is emerging

Key points

• AI is the new growth filter: Six of the Magnificent 7 delivered solid earnings, but markets clearly rewarded firms showing real AI monetization, not just capex intentions. Meta and Microsoft stood out; Apple and Amazon lagged on this front.

• Cloud and ad performance are diverging: Alphabet and Microsoft gained share in cloud and digital ad markets, while Amazon’s AWS disappointed. Meta and Google continue to show ad resilience, but efficiency is becoming the new focus.

• Expectations for Nvidia are sky-high: With AI capex surging across tech giants, Nvidia is positioned strongly, but a simple beat may not suffice. Guidance and long-term demand visibility will be critical for sustaining the AI trade.

The Q2 2025 earnings season offered a powerful reminder of why US mega-cap tech dominates global equity markets.

Six of the Magnificent 7 have reported, with Nvidia’s earnings due later this month. Broadly speaking, the numbers were solid across the names, although the market reaction was far from uniform. Investors rewarded real evidence of AI monetization but punished signs of underwhelming growth in key segments.

Beneath the headline beats, several key themes emerged that can help shape the investment strategy from here.

Key takeaways from the earnings season

1. Tariff impacts are limited, for now

Despite headline risks around tariffs, there was minimal direct impact visible in this round of results. However, some forward-looking commentary, especially from Tesla, did flag concerns about supply chain disruptions and policy-driven demand risks in the second half.

2. AI capex is going up across the board

From Meta to Microsoft to Alphabet and Amazon, capex guidance was revised higher, much of it directed toward AI infrastructure. This signals confidence in long-term demand but also raises the bar for execution and monetization.

3. AI monetization is what will separate winners from the pack

The market is no longer just rewarding AI capex narratives. Companies like Meta and Microsoft, which are showing real top-line AI contributions, were rewarded. Those with ambiguous or lagging AI strategies saw muted reactions.

4. Advertising remains resilient, but efficiency is key

Meta and Alphabet continue to show strength in digital advertising. However, the market is increasingly focused on how well companies can use AI to drive more efficient and targeted ad spend.

5. Cloud sector is diverging

Azure and Google Cloud posted impressive growth, while AWS significantly lagged. The market is clearly watching cloud as a battleground for enterprise AI and is rewarding those gaining share.

Company-by-company breakdown

Meta

Meta’s earnings were among the most positively received this quarter, with the stock rising 11% post-results.

Strong gains in ad monetization and user engagement were supported by the effective rollout of AI-powered tools across its platforms. The company also raised its capital expenditure guidance significantly, highlighting its continued push into AI infrastructure. While this signals confidence, it also elevates execution risks.

Meta’s strategic shift toward what it calls “personal superintelligence” is ambitious, and investors may start questioning whether this vision could prove as speculative and capital-intensive as the company’s earlier Metaverse pivot.

Apple

Apple delivered solid beats across all major segments—iPhones, Services, and Wearables—but the stock rose just ~2.5% post-earnings. That muted reaction is notable, especially since the strong print wasn’t fully priced in ahead of results.

The market’s hesitation likely reflects one of two narratives: either this was pulled-forward demand ahead of potential tariffs, making the quarter hard to replicate, or investors are simply focused on AI leadership, where Apple appears to be lagging.

Either way, the results did little to alter the broader perception that Apple currently lacks a compelling near-term growth catalyst tied to generative AI.

Microsoft

Microsoft impressed again, with Azure growth accelerating thanks to enterprise AI demand. For the first time, Microsoft broke out the contribution of AI services to Azure revenue, giving investors more visibility into how AI is translating into top-line results. The company remains the standout in turning AI hype into enterprise-scale monetization.

Stock performance was strong, though more measured than Meta’s.

Alphabet

Alphabet posted another strong quarter, reinforcing that Search is far from dead. In fact, Search revenue remained robust even as YouTube and Google Cloud also contributed meaningfully. Cost discipline was evident, with improved margins, and the company highlighted AI integration across Google Workspace as a long-term monetization path.

While not as flashy as some peers, Alphabet remains a consistent and profitable performer.

Amazon

Amazon's numbers beat expectations on revenue, but cloud results disappointed. AWS grew just 17% YoY, a sharp contrast to Microsoft Azure’s 39% and Google Cloud’s 32% growth. The market viewed this as a sign of slipping market share in the cloud race.

Amazon’s Q3 operating income guidance also came in cautious, though to be fair, the company is historically less accurate in its guidance. The negative stock reaction reflected concern about Amazon’s ability to maintain its lead in key segments amid growing competition and cost pressures.

Tesla

Tesla’s results were in line, but the tone of the commentary raised fresh concerns. Despite having pledged to update guidance following a sharp Q1 delivery miss, the company offered no new outlook on vehicle sales. CEO Elon Musk also described the coming quarters as likely to be “rough,” citing delivery headwinds from tariffs, supply chain issues, and the impact of the “big beautiful tax bill” removing key EV credits.

Management also disappointed some investors by revealing that the long-awaited low-cost vehicle would simply be a stripped-down Model Y, rather than a completely new platform—undermining hopes for a product-led growth cycle.

But the market's focus has clearly shifted. Tesla's AI and robotics ambitions, including a robo-taxi pilot in Austin and plans for mass production of its humanoid robot Optimus by 2026, are increasingly driving the investment case, even as its core EV business continues to struggle.

What mag six earnings mean for Nvidia

Nvidia sits at the center of the tech investment universe. With nearly every major platform raising AI-related capex, expectations for Nvidia’s Q2 earnings in late August are extremely high.

The setup is favorable:

• Meta, Microsoft, Amazon, and Alphabet are all spending aggressively on AI infrastructure

• Demand for advanced chips used in training and running AI models remains robust.

• Nvidia isn’t just a chipmaker—it also offers a full software platform that makes it easier for developers and companies to build and deploy AI applications. Its tools—like CUDA—help developers get the most out of Nvidia hardware, making it harder for customers to switch to rivals.

But expectations are already elevated. After several quarters of huge beats, investors now want more than strong numbers. They’ll be watching for raised guidance and signs that demand for Nvidia’s chips and software is sustainable beyond 2025.

Importantly, the AI story no longer ends with Nvidia. As we explored in our previous article, investment opportunities are emerging across the AI value chain – from chipmakers and cloud infrastructure to model developers, cybersecurity, and application-layer software. Nvidia may lead, but the ripple effects across the ecosystem are just beginning.

What to watch next

• Nvidia earnings (late August) – the biggest test of AI infrastructure demand and investor expectations

• “Big beautiful tax bill” – implications for EV demand, credits, and broader clean tech sentiment

• Deregulation trends – especially under current US policy direction, could fuel further capex and market optimism

• Tariff impacts – now that there’s policy clarity, will corporates start adapting supply chains, or will growth risks emerge in H2?