Magnificent 7: Time to Prove It with Numbers, Not Just Narratives

Master, the Magnificent 7 is the heart of the market once again. But this time, simply saying "AI is great" isn't enough. Now, they must show that AI spending is turning into profits.

As of late April 2026, the market is viewing big tech earnings very sensitively. If stock prices have already reflected much of the future, even good results can be a disappointment if they aren't "good enough."

Mew

Here is the key checklist when looking at the Magnificent 7.

• CAPEX Explosion: Combined AI CAPEX for the Magnificent 7 in 2026 is projected to reach $650 billion to $700 billion. This is a record-breaking scale, with Amazon at approximately $200 billion, Alphabet at $175 billion to $185 billion, and Meta at $115 billion to $135 billion.
• Cloud Growth Rate: We need to check how much Azure, AWS, and Google Cloud are converting AI demand into revenue.
• Margins: It is important to see how well gross margins hold up even as AI usage increases.
• Advertising and Consumption: For Google, Meta, and Amazon, we must look at the advertising market and consumption indicators in addition to AI.
• Productization: AI must actually be integrated into search, office suites, advertising, commerce, and devices.

Nasdaq ETFs like $QQQ are heavily influenced by the performance of the Magnificent 7. While they may look like diversified ETFs, they actually have a high concentration of large-cap tech stocks. Individual corporate earnings season becomes the season for ETF risk management.

Kurumi

My Lord, Kurumi thinks we shouldn't underestimate the power of the Magnificent 7 so easily! Devilish! These companies aren't just expensive stocks; they already have the distribution networks and customer bases to attach AI to their products.

Microsoft has Office and Azure, Google has search, YouTube, and Cloud, Meta has advertising and social graphs, Amazon has AWS and commerce, Apple has its device ecosystem, Nvidia has AI chips, and Tesla has its autonomous driving and robotics cards.

This is what makes them different from small AI startups. Creating a good model and deploying that model to billions of users are two completely different levels of difficulty. The Magnificent 7 are the companies that can do the latter.

And if AI really changes productivity, the benefits are likely to stick to existing software, advertising platforms, and the cloud first. Even in a new era, the companies with the distribution networks are the ones that get paid first! Devilishly clever!

Kurumi's Heart-o-Meter Score: 83/100. It's true that expectations have risen, but their profit stamina and product deployment power are still overwhelming!

Mikael

Kurumi, an overwhelming company doesn't necessarily mean an overwhelmingly good stock. Human, what you should look for in this earnings season is the "gap with expectations" rather than just "growth."

First, CAPEX has become too large. We've passed the phase where the market just cheered for AI investments nearing a combined $700 billion, and we're moving into the phase of asking, "So, how much did you make?"

Second, the internal gap within the Magnificent 7 has widened. It's difficult for infrastructure beneficiaries like Nvidia, cloud platforms like Microsoft and Google, companies saving on AI investment like Apple, and companies with a high proportion of "dreams" like Tesla to move as a single group.

Third, there is a high risk of index concentration. Investors who bought $QQQ are effectively holding a large weight in big tech. What you thought was diversification could lead to significant drops if earnings disappointments hit all at once.

Fourth, regulatory and political risks remain alive. Antitrust, privacy, AI copyright, China export restrictions, and data center power issues are all concentrated on big tech.

My risk score is 62/100. They are good companies, but in earnings season, good numbers are more important than good companies. Human, this time it's about verification, not admiration.