The AI Trade Nobody Is Talking About
Everyone Is Chasing AI. We're Following the Cash Flows.
The AI Gold Rush:
Stop Chasing the Models and Start Owning the Bottlenecks
For the last twenty years, Wall Street taught investors a simple lesson:
Software wins.
Factories lose.
Infrastructure is boring.
Physical assets are old economy.
The future belonged to apps, subscriptions, software, social media, and businesses that could scale infinitely without owning much of anything.
And for a long time, that was true.
Companies like Adobe, Salesforce, Shopify, Microsoft, and countless SaaS businesses created tremendous wealth by selling software with extraordinary profit margins. Investors learned to love “asset-light” businesses and avoid anything that required massive capital spending.
Then AI arrived.
And suddenly the world changed.
Not because AI is software.
But because AI revealed that software was never the real constraint.
The real constraint is infrastructure.
The Market Is Looking in the Wrong Place
Today everyone wants to talk about:
ChatGPT
Claude
Gemini
Grok
OpenAI
Anthropic
Those are the sexy stories.
Those are the companies making headlines.
But if you’re trying to build wealth as an investor, headlines rarely lead you to the biggest opportunities.
Instead, ask a different question:
What does AI need to function?
The answer isn’t software.
The answer is:
Electricity
Data centers
Fiber optics
Networking equipment
Cooling systems
Transformers
Power generation
Semiconductors
In other words:
AI may look like software on the surface, but underneath it is one of the largest infrastructure buildouts in modern history.
Every Gold Rush Creates New Winners
History tends to repeat itself.
During the California Gold Rush, many of the miners went broke.
The people who consistently made money were the ones selling the picks, shovels, tools, and supplies.
The same thing happened during:
The railroad boom
The telephone boom
The internet boom
The cloud computing boom
The biggest fortunes were often created not by the flashy applications everyone talked about, but by the infrastructure that made those applications possible.
Today AI appears to be creating a similar opportunity.
Why AI Is Different Than Traditional Software
Traditional software was incredibly scalable.
Write the code once.
Sell it millions of times.
Margins approach infinity.
AI changes that equation.
Every time you ask ChatGPT a question, a massive amount of computation occurs behind the scenes.
Those computations require:
GPUs
Electricity
Networking
Cooling
Storage
Unlike traditional software, AI is extremely resource-intensive.
In fact, some of the largest AI data centers now consume enough electricity to power entire cities.
Think about that for a moment.
A chatbot isn’t just a chatbot anymore.
It’s an industrial facility disguised as software.
The New Scarcity
One of the most important concepts in investing is understanding scarcity.
When something is abundant, profit margins tend to fall.
When something is scarce, pricing power rises.
For years software was scarce.
Today software is becoming abundant.
AI is increasingly capable of:
Writing code
Creating content
Designing websites
Generating reports
Automating workflows
As AI becomes more capable, software itself may become cheaper.
So where does scarcity move?
It moves to the infrastructure.
The scarce resources now include:
Electricity
Grid capacity
Data centers
Fiber optic networks
Advanced chips
Cooling systems
Power equipment
The bottleneck has shifted.
And where the bottleneck goes, the profits often follow.
Find the Constraint
One of the most valuable investing lessons is remarkably simple:
Find the constraint.
The market constantly focuses on outcomes.
Successful investors focus on constraints.
The constraint isn’t the AI model.
The constraint is what the AI model cannot function without.
For example:
AI cannot run without electricity.
AI cannot scale without data centers.
AI cannot communicate without fiber optics.
AI cannot train without semiconductors.
If demand for AI continues to explode, demand for these supporting assets may rise dramatically.
Potential Winners in the AI Infrastructure Stack
While nobody knows exactly who the ultimate winners will be, there are several areas investors should be watching closely.
Compute and Semiconductors
These companies provide the computational horsepower behind AI:
NVIDIA
AMD
Broadcom
These are the engines of AI.
Cloud Infrastructure and Hyperscalers
The companies building the AI factories:
Microsoft
Amazon
Alphabet
These firms own many of the digital highways AI runs on.
Data Centers
As AI demand grows, so does the need for data center capacity:
Equinix
Digital Realty
These companies effectively own some of the real estate supporting the AI economy.
Power and Electricity
Perhaps the most overlooked area.
AI requires enormous amounts of electricity.
Potential beneficiaries include:
Constellation Energy
Vistra
NextEra Energy
And one particularly interesting company:
Bloom Energy
Bloom Energy has become increasingly interesting because it provides on-site power generation solutions.
Why does that matter?
Because many data centers cannot wait years for grid upgrades.
If AI demand grows faster than grid capacity, localized power generation becomes incredibly valuable.
Bloom sits directly at the intersection of:
AI growth
Energy demand
Infrastructure scarcity
Exactly the type of opportunity long-term investors should be studying.
Fiber Optics and Connectivity
One of the least discussed but potentially most important areas.
Everyone talks about electricity.
Far fewer people talk about data movement.
AI systems require enormous amounts of bandwidth.
Potential beneficiaries include:
Corning
Amphenol
TE Connectivity
Coherent
Lumentum
Nokia
These companies provide the “nervous system” of the AI economy.
If electricity is the blood supply, fiber optics are the arteries.
The Market Often Gets the Story Wrong
Many investors become obsessed with narratives.
The market becomes convinced that only the AI models matter.
But investing history suggests otherwise.
The internet created incredible winners.
Many of them weren’t websites.
They were infrastructure providers.
Cloud computing created enormous winners.
Many weren’t applications.
They were data center operators and cloud providers.
AI may follow a similar path.
The biggest winners may not be the companies generating the headlines.
They may be the companies quietly supplying the infrastructure.
What Does This Mean for Grow Your Pile Members?
At GYP, we constantly remind members that investing is not about predicting headlines.
It’s about identifying risk-reward opportunities before they become obvious.
The AI revolution is real.
But rather than asking:
“Which chatbot wins?”
Perhaps the better question is:
“Who profits no matter which chatbot wins?”
That answer may include:
Power companies
Data center operators
Fiber optic providers
Networking companies
Semiconductor manufacturers
Infrastructure suppliers
In other words, the picks and shovels of the AI gold rush.
Final Thoughts
Every technological revolution creates a new hierarchy of winners and losers.
The market spent the last two decades rewarding software.
The next decade may reward the infrastructure that software depends on.
AI is not just a software story.
It is a power story.
It is a data center story.
It is a semiconductor story.
It is a networking story.
It is an infrastructure story.
As investors, our job is not to chase the obvious.
Our job is to identify the bottlenecks.
Find the constraint.
Own the constraint.
And give the market time to recognize its value.
That may prove to be one of the most profitable lessons of the AI era.
Disclaimer
The information contained in this article is provided solely for educational and informational purposes. Nothing contained herein should be construed as investment advice, a recommendation to buy or sell any security, or a solicitation to engage in any specific investment strategy.
The companies, industries, and themes discussed are presented as examples to help illustrate broader market trends and investment concepts. Any references to specific stocks, sectors, or asset classes are for discussion purposes only and should not be interpreted as endorsements or recommendations.
All investments involve risk, including the potential loss of principal. Past performance is not indicative of future results. Market conditions can change rapidly, and investments that appear attractive today may perform differently in the future.
Before making any investment decision, investors should conduct their own due diligence, carefully consider their financial objectives and risk tolerance, and consult with a qualified financial, tax, or legal advisor.
Grow Your Pile, Tony Rihan, Anthony Battista, and any affiliated entities are not acting as your investment advisor and are not providing personalized financial advice. Any investment decisions made based on information presented in this article are solely the responsibility of the reader.