Spend enough time reading about artificial intelligence and you’ll notice the debate quickly splits into two camps. One side sees a bubble—another overhyped technology cycle that will eventually disappoint. The other sees something far more disruptive: a force that could reshape the global economy, eliminate entire categories of jobs, and drive the cost of many goods and services toward zero.
The truth likely sits somewhere in between. But for investors, the more important question isn’t which side is right. It’s this: Where do you put your money if AI really does change everything?
The answer may not be as straightforward as you think.
The idea of a “post-scarcity” economy makes for great headlines. If AI can generate content, write code, analyze data, and automate workflows at near-zero marginal cost, it’s easy to imagine a world where abundance becomes the norm.
But that narrative overlooks something fundamental. AI doesn’t run on ideas. It runs on infrastructure.
Behind every AI model is a massive physical system—data centers consuming enormous amounts of electricity, chips that take years and billions of dollars to produce, and networks that move vast quantities of data around the world. As AI adoption accelerates, demand for these inputs isn’t falling. It’s exploding.
In other words, AI could make digital goods abundant, but it makes the underlying physical enablers more valuable.
If AI is going to reshape the economy, the biggest winners won’t necessarily be the companies building the flashiest applications. They will be the ones controlling the resources AI cannot function without.
Start with energy.
AI is incredibly power-intensive, and that demand is growing fast. That creates a long runway for regulated utilities and infrastructure providers like NextEra Energy (NYSE: NEE) and Duke Energy (NYSE: DUK), both of which are investing heavily in grid expansion and generation capacity. On the infrastructure side, companies like Kinder Morgan (NYSE: KMI) and Williams Companies (NYSE: WMB) stand to benefit from rising natural gas demand tied to power generation.
Then there’s the hardware layer.
AI doesn’t exist without semiconductors—especially high-performance chips and advanced memory. Leaders like NVIDIA (NSDQ: NVDA) and Advanced Micro Devices (NSDQ: AMD) dominate AI accelerators, while Taiwan Semiconductor Manufacturing Company (NYSE: TSM) manufactures many of the world’s most advanced chips. These are capital-intensive businesses with high barriers to entry—exactly the kind of scarcity AI cannot erase.
Real estate may not be one of the first things that comes to mind when you think about AI, but it should be.
Data center REITs like Equinix (NSDQ: EQIX) and Digital Realty (NYSE: DLR) are positioned at the center of this buildout. AI workloads require dense power capacity and advanced cooling, and not every facility can meet those requirements. That makes existing, well-located assets increasingly valuable.
Beneath all of this is the infrastructure layer—fiber, networking, and connectivity. Companies such as American Tower (NYSE: AMT) and Crown Castle (NYSE: CCI) provide critical connectivity that supports the flow of data powering AI systems.
There’s another group of beneficiaries that tends to get less attention: companies that use AI effectively rather than sell it.
AI is a productivity engine. It allows businesses to streamline operations, reduce labor costs, and improve decision-making. The biggest gains will accrue to firms that can deploy AI across large, complex operations.
In insurance and financial services, companies like Progressive Corporation (NYSE: PGR) and JPMorgan Chase (NYSE: JPM) are already using AI to refine underwriting, detect fraud, and enhance customer interactions. In logistics, United Parcel Service (NYSE: UPS) is leveraging AI to optimize routing and reduce costs.
Healthcare is another promising area. Firms like Intuitive Surgical (NSDQ: ISRG) are integrating AI into diagnostics and surgical systems, improving outcomes while driving efficiency.
These companies won’t always be labeled as “AI plays,” but their margins could steadily expand as adoption deepens.
If AI is going to create anything close to abundance, it will happen first in areas where the cost of replication is already low.
That puts pressure on businesses tied to basic content, commodity software, and routine white-collar services. Companies that rely on producing undifferentiated digital output or performing repetitive analytical tasks face the greatest risk of disruption.
For example, legacy media firms and low-margin digital content platforms may struggle to maintain pricing power in a world flooded with AI-generated alternatives. Similarly, smaller software vendors without strong differentiation could find themselves competing against increasingly capable AI-driven tools embedded in larger platforms.
The key is to avoid businesses whose core value can be easily automated.
It’s tempting to think of AI as a technology trend that you invest in directly—buy the companies building the models and ride the wave. But that approach comes with real risks. Competition is intense, and leadership can shift quickly.
A more durable strategy is to focus on the parts of the system that don’t change as quickly.
Energy demand will grow if AI grows. Semiconductor demand will grow. Infrastructure demand will grow. These are structural tailwinds, not speculative bets.
Layer in companies that can use AI to expand margins, and you have a portfolio positioned to benefit whether AI evolves gradually or accelerates faster than expected.
AI may or may not deliver a true “post-scarcity” economy. But even in the most optimistic scenario, scarcity doesn’t disappear—it shifts.
And when it comes to investing, that shift is everything.
The smartest investors won’t chase the hype. They’ll own the assets that make the entire system possible—and profit from the constraints everyone else overlooks.
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