An analysis of stock market dynamics over the past ten years reveals a striking pattern: nine out of the ten best companies in the S&P 500 index are in one way or another connected to artificial intelligence infrastructure. This is not a coincidence, but a fundamental shift in the structure of the global economy.

The undisputed leader of the decade has been Nvidia. Its shares have shown growth of nearly 13,589%, more than double the performance of its closest competitor — AMD, whose shares have gained about 6,000%. Such explosive growth is driven not merely by luck, but by the company's dominance in the market for graphics processing units, which have become the "gold standard" for training neural networks.

Top 10 leaders of the decade:

  • Nvidia (NVDA) — +13,817%
  • AMD (AMD) — +6,099%
  • Micron (MU) — +5,486%
  • Comfort Systems (FIX) — +5,157%
  • Arista Networks (ANET) — +3,762%
  • Lam Research (LRCX) — +3,099%
  • Tesla (TSLA) — +2,545%
  • Lumentum (LITE) — +2,440%
  • KLA Corp (KLAC) — +2,401%
  • Seagate (STX) — +2,346%

In this list, the AI infrastructure vertical is clearly evident. Nvidia, AMD, Micron, Lam Research, and KLA Corp produce chips or the equipment used to create them. Arista Networks provides network connectivity for data centers, Lumentum supplies optical components for data transmission, and Seagate offers storage systems for training datasets. Even Comfort Systems, seemingly unrelated to technology at first glance, has found its gold mine: the company specializes in the construction and cooling of data centers, securing orders worth nearly $12 billion. This is a vivid example of how the "second wave" of the AI boom is capturing adjacent industries.

The exception to the rule has been Tesla. Its stock growth was driven primarily by the electric vehicle revolution, not AI infrastructure. However, Elon Musk's projects in autonomous driving and robotics still provide the company with a certain connection to artificial intelligence.

Key point: acceleration at the end of the decade

It is important to understand that this growth was not uniform. The main surge occurred in the last two years. Since the start of the AI boom in November 2022, Nvidia's market capitalization has jumped from $418 billion to more than $4.5 trillion. Similar dynamics are observed among other companies on the list — hyperscalers have sharply increased capital expenditures on AI.

The question is whether this momentum can be sustained. My estimates show that about 60% of data centers planned by 2027 have not even begun construction yet. This lag could keep investor interest in such stocks elevated well into the second half of the decade. We are standing on the brink of not just a technological, but an infrastructural revolution, and the companies providing its foundation will remain at the center of market attention.

My expert assessment: The current dynamics remind me of the early stages of the internet boom, but with one important difference — now we have real cash flows and tangible profits. However, investors should be cautious: the high concentration of capital in a narrow circle of AI companies creates systemic risks. Diversification and fundamental analysis are becoming critically important tools in this new reality.