Don't Look at the Model, Look at the Market.
When people talk about artificial intelligence, they often look at it from a very narrow perspective based on their everyday lives. They say, "Okay, when I have a random fact I want to know, I open my phone and go to ChatGPT." It seems to have come out of nowhere, and most people didn't really question where it came from, how it was implemented, or how it became embedded into our daily lives simply because it was convenient and useful.
It’s a narrow lens to view AI as just something that benefits our lives and thinks for us, sometimes even better than we can think for ourselves. We talk about ChatGPT, autonomous vehicles, humanoid robots, AI agents, and all of these exciting technologies. But the most important questions are: What is AI? How does it work? What comes before it and after it? And, most importantly, what happens when AI becomes an entire economic system?
Similar to why I wanted to study business, AI can be implemented across so many different sectors: healthcare, education, finance, and beyond. AI is everywhere. It has become an entire economic system that changes how we do almost everything in our everyday lives. AI isn't just a technology sector anymore; it influences finance, energy, manufacturing, cybersecurity, defense, and how businesses make decisions.
I want to look beyond the AI models themselves and talk about the markets and industries that have to grow alongside them. As Nvidia CEO Jensen Huang mentioned during the World Economic Forum, the critical foundations that come before AI are energy and infrastructure. To that, I would add a vital third element that often gets overlooked: water.
We often focus on complex things and miss the simple necessities. But if you narrow it down, AI requires three fundamental elements:
Infrastructure to house the data centers.
Energy to run them.
Water to cool them down.
Business & The Changing Role of Humans
In business, AI won't necessarily replace companies; it will change how they operate. Think about a typical company today: employees conduct research, analyze data, respond to customers, write reports, manage operations, and create marketing materials. Many of these processes are being assisted or automated by AI. Jobs we thought would always belong to humans are rapidly changing.
While that creates anxiety, it doesn’t mean humans will be obsolete. Instead, the role of the human shifts. You become less focused on executing every individual task and more focused on deciding what should be done, why it should be done, and whether the AI is making the right decisions.
Because of this, leadership, critical thinking, emotional intelligence, and psychological intelligence are becoming more important than ever.
This raises an interesting business question: If every company has access to similar AI tools, where does the competitive advantage come from?
It will come from proprietary data, infrastructure, distribution, and having the best people who know how to leverage AI. Countries like the UAE are already focusing on this: not just training people to use AI, but teaching them how to make high-level decisions, use AI ethically, and increase efficiency without sacrificing human intelligence. Ultimately, competitive advantage will come from integrating AI into business models rapidly. The future isn't AI companies versus non-AI companies; eventually, every serious company becomes an AI company in some capacity.
To understand where this is heading, we need strong pattern recognition. By examining how things have shifted from 5, 10, or 20 years ago to now, we can better predict future outcomes.
AI in Finance: What Happens When Intelligence Is Abundant?
Finance is an ideal application for AI because it is fundamentally built around data, probability, prediction, and decision-making. AI can analyze massive datasets, process financial statements, monitor news, and track economic indicators far faster and more accurately than a human.
However, that doesn't mean AI can simply predict the stock market. Markets are complex because they are driven by people, and human behavior is inherently unpredictable. AI excels at prediction based on patterns, but humans don't always follow patterns.
If powerful AI tools become universally accessible, maintaining a competitive edge in finance gets harder. This leads to a critical question: What happens when intelligence becomes abundant?
When intelligence is no longer scarce, the scarce resources become:
Access to capital
Energy grid capacity
Raw computing power
High-quality, proprietary data
Human judgment and strategy
The Supply Chain Behind the Technology
We cannot analyze AI models in isolation from what powers them:
Massive computing requires data centers.
Data centers require specialized semiconductor chips.
Chips require advanced manufacturing, raw materials, and water.
All of it requires immense amounts of electricity.
When you invest in AI, you are investing in an entire ecosystem: semiconductor manufacturers, cloud infrastructure, high-speed networking, cooling systems, construction, power generation, cybersecurity, and financial markets.
The real strategic opportunities may not just be in the companies building the AI models at the top, but further down the supply chain.
Energy & Nuclear Power
If AI continues to scale, electricity demand becomes a major economic challenge. You cannot build massive data centers without securing consistent, 24/7 baseload power generation and transmission capacity.
This is why nuclear energy has become central to the conversation. Nuclear power offers three things critical for AI infrastructure:
High reliability
Energy density
Zero-carbon electricity output
The AI conversation is expanding beyond software into nuclear reactors, power grids, natural gas, renewables, battery storage, energy policies, and geopolitics.
Looking Ahead: Asking the Right Questions
When an industry expands rapidly, bottlenecks inevitably form. Instead of asking, "What is the next big AI stock?", investors and leaders should ask: "What does AI absolutely need in order to keep growing?"
Whether it's power grids, cooling technology, specialized hardware, or human talent, focusing on these bottlenecks changes how you view the market. It shifts the perspective from viewing AI as a threat to viewing it as a new economic layer to adapt to and build upon.
In the near future, AI will shift from something we actively query (like a chatbot) to something operating continuously around us via autonomous AI agents managing systems, analyzing workflows, and making real-time recommendations.
Historically, major technological shifts, from the internet to smartphones, didn't just eliminate jobs; they created entirely new industries and economic frameworks. AI will do the same. We likely can't even predict some of the largest AI-driven industries of the 2030s yet.
AI is much more than a software tool or a single industry; it is the center of an expanding economic ecosystem. The technology itself is impressive, but the real story is the economy being built around it.
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