Google, Broadcom, Marvell, Tesla: The Road to $500 Is Getting Closer

Let me be straight with you about where my head is at right now. I am extremely bullish on four names, and they are all walking the same road. Broadcom is sitting around $478 and pressing right up against $500. Tesla is near $434 with $500 and $600 price targets on the board. Google has analyst targets that just got pushed toward $493. And Marvell just blew through to a new all-time high after Nvidia handed it $2 billion.

The road to $500 is getting closer for these names, and once you see what is underneath all of them, you understand why. Let me walk you through it the way I actually think about it.

The same force is lifting all four of these stocks, the buildout of custom AI infrastructure, and that force is still in the early innings, not the late ones.

Here is the connection most people miss. The whole world is racing to build AI, and AI runs on specialized chips and the gear that connects them. Two of these companies design those custom chips. One of them buys them by the truckload and builds AI products on top. And one of them is building a different kind of AI machine entirely, the kind with wheels.

That is the thread. Custom silicon and real AI demand. Hold that in your head as we go name by name.

Broadcom is the clearest version of this story. The stock is around $478 and just set a new 52-week high, up roughly 38 percent on the year. It is the company quietly designing the custom AI chips inside the biggest names in tech, including Google's own AI processors.

The numbers behind it are not hype. AI revenue grew 106 percent in the latest quarter. Management says it has a line of sight to more than $100 billion in AI chip revenue in 2027, backed by a $73 billion backlog and commitments from at least six hyperscaler customers including Google, Meta, OpenAI, and Anthropic. Wall Street is catching up fast, with Wells Fargo lifting its target to $545 and others moving to $500.

At $478, the road to $500 is a short walk. The harder question is what comes after it, and the backlog is the answer.

Marvell is the one that exploded on my screen this week. It rocketed to a new all-time high after Nvidia invested $2 billion in the company. Read that again. Nvidia, the king of AI chips, just put real money into Marvell, which is basically a stamp of approval that Marvell's custom silicon and optics belong inside Nvidia's AI roadmap.

The fundamentals backed it up. Record quarterly revenue up 28 percent, strong margins, and a custom silicon business that the company expects to grow from roughly $1.5 billion today to more than $10 billion by the end of the decade. I called Marvell the quietest AI monster of 2026 a while back in MRVL: The Quietest AI Monster, and this week it stopped being quiet.

Marvell is not near $500 in price, but it is the purest example of the engine. When Nvidia validates your chips with cash, the market reprices you fast.

This is the name I get most fired up about. For two years people wrote Google off as the company that was going to lose to AI. The exact opposite is happening. Gemini, its AI system, has grown to over 750 million monthly users and is processing over 10 billion tokens every minute. That is not a science project. That is one of the largest AI products on the planet, attached to the most valuable real estate on the internet in Search, plus a cloud business that is on fire.

Google trades around $389 today, and analyst targets have been climbing toward $493 as the Street finally admits the AI roadmap is working. So Google is also on the road to $500, just with the most runway of the group, because it owns the whole stack from the custom chips Broadcom builds for it, to the models, to the products billions of people already use.

Tesla is the most debated name on this list and I know it. The stock is around $434 after rallying more than 50 percent off its late 2025 low. The bulls and bears could not be further apart. Piper Sandler is at $500, Wedbush at $600, while the skeptics sit down near $360.

The whole argument comes down to one thing, the robotaxi. The network is already running in Austin, Dallas, and Houston and getting set up in Phoenix, Miami, Orlando, Tampa, and Las Vegas. The revenue is not material yet, and the bears are right that it has to scale massively to justify the price. But this is not a car company being valued as a car company. It is an AI and robotics bet, and I broke down why I stay bullish in TSLA 2026: The Bull Case Nobody Wants to Hear. At $434 with $500 and $600 targets in play, Tesla is on this road too, it just has the widest range of outcomes.

Being extremely bullish does not mean being blind. Every name on this list is priced for a lot of good news, and I just wrote about why this whole market is narrow and nervous at record highs in The S&P 500 Just Crossed 7,600. When everyone is excited about the same four stocks, the size of your position matters more than your conviction. That is the entire point of Position Sizing in a High-Valuation World. High conviction and smart sizing are not opposites. They are how you survive long enough to be right.

The road to $500 is not a meme. For Broadcom it is a few percent away. For Tesla and Google it is the next leg of a story that is actually playing out in the numbers. And for Marvell it is the engine getting validated in real time with Nvidia's checkbook. These four are not random tickers. They are four different seats on the same rocket, the buildout of AI. Do your own homework, size it like an adult, and never confuse a strong opinion with a sure thing. But yeah, I am watching this road closely, and I am leaning bullish.

Read next: NVDA 2026: Why the King Is Not Done | The S&P 500 Just Crossed 7,600

*⚠️ Important Disclaimer: MentorSurge is not a financial advisor. This post is for educational and entertainment purposes only. It reflects my personal opinions, not financial, investment, or trading advice. I may hold positions in the stocks mentioned. Price targets are other people's estimates and are frequently wrong. Trading involves substantial risk of loss. Always do your own research and consult a licensed professional.*