To The Moon

$NVIDIA(NVDA)$ is back in the spotlight, but this time the question is bigger than whether Jensen Huang can deliver another exciting presentation.

Nvidia fell 0.29% on Tuesday to $216.47 as investors looked ahead to GTC Berlin, running from October 20 to 22. Huang’s keynote is expected to cover accelerated computing, AI infrastructure, open-source models, AI agents and physical AI.

These are important areas for the next stage of AI development. However, after a powerful run in AI-related stocks, investors are increasingly asking a different question: How much of the future growth is already reflected in today’s share prices?

I think that is the real issue facing Nvidia.

💡 1. The AI Story Is Expanding Beyond Chatbots

The first phase of the AI boom was largely driven by the development and training of increasingly powerful models. Nvidia benefited from the demand for GPUs and the supporting infrastructure needed to train them.

Now, the industry is moving towards broader AI deployment.

AI agents could automate complex tasks across businesses. Physical AI could bring intelligence into robots, industrial equipment and autonomous machines. Open-source models could also encourage more developers and companies to build AI applications.

Each development creates potential demand for computing power.

For Nvidia, the opportunity is not simply selling more chips. It is supplying a wider ecosystem of computing platforms, networking technologies and software that customers need to develop and operate AI systems.

If these applications expand successfully, demand for accelerated computing could remain strong even as the AI industry evolves.

But there is an important distinction: More AI applications do not automatically guarantee higher profits for Nvidia.

The investment case still depends on how quickly adoption grows, how much computing power customers require and whether their spending translates into sustainable demand for Nvidia’s products.

📊 2. What Should Investors Look for at GTC Berlin?

A keynote can generate excitement, but investors should look beyond product announcements.

Here are three things I would watch.

First: Is Nvidia opening up new sources of demand?

Developments in AI agents, robotics and physical AI could expand the market beyond traditional data centre applications.

The key is whether these technologies create additional spending opportunities for Nvidia rather than simply shifting existing demand between different products.

Second: Can Nvidia maintain its competitive advantage?

Nvidia’s position is supported by more than its hardware. Its software ecosystem, developer tools and integrated computing platforms are also important.

New announcements that strengthen these advantages could help reinforce customer relationships.

However, competition from other chipmakers and customers developing their own AI accelerators remains a consideration. Investors need to assess whether Nvidia can maintain its pricing power as the industry matures.

Third: When will today’s AI investment generate measurable returns?

Technology companies have committed substantial resources to AI infrastructure. Eventually, customers will need to demonstrate that these investments are producing revenue, productivity improvements or other financial benefits.

If AI adoption continues to expand and customers see attractive returns, infrastructure spending could remain resilient.

If those returns take longer than expected, however, customers may become more selective about future spending.

That is why the financial results of Nvidia’s customers may matter just as much as the technology announced at GTC.

📉 3. Is the Recent Pullback an Opportunity or a Warning?

Nvidia’s recent weakness has raised an important question for investors.

One interpretation is that the pullback reflects technical factors, including the unwinding of leveraged positions, rather than a fundamental deterioration in AI demand. If that is the case, market sentiment could improve when investors regain confidence in the sector.

The opposing view is that expectations have become so high that even positive announcements may struggle to drive further gains.

Both possibilities deserve consideration.

A company can have an excellent long-term business outlook while its stock experiences significant short-term volatility. Share prices reflect not only business performance but also investor expectations, valuations and positioning.

For that reason, I would be cautious about treating a single red day as proof that the AI trade is ending. Equally, I would not assume that a strong keynote automatically makes Nvidia a bargain.

The important question is whether new developments materially improve the company’s future earnings potential relative to what the market already expects.

🚀 4. My Take: Follow the Money, Not Just the Headlines

I remain interested in Nvidia’s role in the AI infrastructure ecosystem because its opportunity extends across computing, networking and software.

GTC Berlin could help investors understand where the next wave of demand may emerge. New developments in AI agents and physical AI could be particularly interesting because they point towards applications beyond conventional AI model training.

However, I would separate technological progress from investment performance.

A successful product launch does not necessarily translate into an immediate increase in earnings. Even strong revenue growth may not produce the share price reaction investors expect if the market has already priced in an optimistic outlook.

For me, the next stage of the Nvidia story comes down to three questions:

• Can AI infrastructure demand continue expanding?

• Can Nvidia defend its competitive advantages as competition increases?

• Can spending on AI applications generate sufficient returns to sustain customers’ investment?

If the answers remain encouraging, the long-term growth story could continue to develop. If the financial evidence begins to weaken, investors may need to reassess their expectations.

The keynote matters, but the numbers that follow will ultimately carry more weight.

Disclaimer: This post is for informational and discussion purposes only and does not constitute financial advice or a recommendation to buy or sell any securities.