Artificial intelligence (AI) is everywhere. News stories discuss large language models (LLMs), hyperscalers, chipmakers, data centers, and trillion-dollar investments. It can feel like a foreign language—and many people wonder whether AI is something to embrace or fear.
In reality, AI is already part of everyday life, often without us realizing it. Every time you use an internet search engine, receive personalized recommendations while shopping online, filter spam emails, or ask ChatGPT a question, you’re interacting with AI in some form.
More importantly, AI isn’t just a technology story. It’s becoming an economic story that is reshaping businesses, infrastructure, employment, and financial markets. You don’t need to understand every technical detail of AI to appreciate its economic and investment implications. This article is simply an attempt to cut through some of the jargon and explain, in plain English, what is happening today—and why it matters.
The AI Economy Has Two Sides
One helpful way to think about AI is that today’s AI economy has two sides: demand and supply.
On the demand side, businesses, consumers, governments, and institutions are adopting AI to improve productivity, reduce costs, increase efficiency, and create new products and services. The hope is that AI will allow companies to become more profitable while increasing long-term economic growth and incomes. Whether AI ultimately becomes a useful tool or one of history’s most transformative technologies remains to be seen.
On the supply side, companies are investing unprecedented amounts of capital to build the infrastructure that makes AI possible. This includes semiconductor design companies such as NVIDIA and Broadcom, chipmakers like Intel, TSMC, and Samsung, cloud providers including Amazon, Microsoft, and Google, electric utilities, power equipment manufacturers, cooling system suppliers, engineering firms, and construction companies.
Much of the stock market’s enthusiasm over the past few years has been driven by these supply-side companies building the foundation for AI. According to economists at Moody’s Investors Service, AI added an estimated 0.5% to U.S. real GDP in 2025. Interestingly, two-thirds of that AI-related economic growth came from increased spending by consumers experiencing gains in their investment portfolios from AI-related stocks.
Why Are People Concerned?
Much of the public concern surrounding AI focuses on labor disruption and the fear of job displacement.
That concern has emerged in some unexpected places. Graduates at Arizona State University recently booed a former Google CEO during a commencement speech on AI and technological change—an indication that even younger generations, often viewed as digital natives, have mixed feelings about AI’s rapid expansion.
And those concerns extend well beyond college campuses. This summer, Pope Leo issued a papal encyclical warning about the risks of emerging AI to human dignity, justice, and labor, urging leaders to protect humanity from its most harmful effects.
The concern is understandable. The International Monetary Fund estimates AI could affect roughly 40% of jobs worldwide, replacing some roles while complementing others. Unlike previous technological advances that primarily automated routine or manual work, AI also has the potential to influence highly skilled professions, including finance, law, healthcare, software development, and education.
AI Requires an Enormous Physical Build-out
One surprise for many people is that AI isn’t just software.
Every question asked of ChatGPT or Claude requires tremendous computing power running inside physical data centers. Training large language models demands enormous amounts of electricity, cooling systems, semiconductors, networking equipment, and data storage.
As a result, companies are investing billions of dollars in new AI infrastructure, sparking debates over electricity demand, water consumption, land development, and strain on local infrastructure. Skilled labor shortages are emerging for electricians, technicians, and infrastructure specialists.
Currently, the United States hosts more data centers than any other country, placing it at the center of the global AI build-out.
Some technology leaders are already looking even further ahead. Elon Musk, Jeff Bezos, and NVIDIA CEO Jensen Huang have publicly discussed concepts involving space-based infrastructure and future off-planet computing capabilities. The remarkable success of the SpaceX IPO in June illustrates just how serious investors are taking ideas that only a few years ago sounded like science fiction.
Investment Perspective
Whether you use AI every day or have barely interacted with it, its effects are already being felt throughout the economy and financial markets.
From an investment perspective, predicting the long-term winners remains extremely difficult. Some companies involved in AI today may become dominant for decades, while others may struggle as technology evolves and competition intensifies.
Rather than trying to predict every winner and loser, maintaining broad diversification remains a prudent approach. Diversified mutual funds and ETFs allow investors to participate in innovation wherever it occurs, while reducing reliance on any single company or theme.
Whether AI ultimately proves to be one of the greatest technological advances in history or simply another powerful productivity tool, its influence on businesses, the economy, and financial markets is already well underway. Understanding the basics—and staying disciplined as an investor—is far more important than understanding every new AI buzzword.
