AI Infrastructure vs. AI Software ETFs: What Is the Difference?

By Adam Patti, Chief Executive Officer, VistaShares | Published November 13, 2026

AI infrastructure ETFs hold the companies that supply the physical buildout behind artificial intelligence: chips, servers, networking, power equipment, cooling and data center construction. AI software ETFs hold companies that sell AI models, applications and platforms. Infrastructure revenue follows capital spending on data centers today; software revenue depends on whether customers adopt and pay for AI products over time. The two respond to different stages of the same theme.

Attribute	AI infrastructure ETFs	AI software ETFs
What it holds	Suppliers of chips, servers, networking, power, cooling and construction	Companies selling AI models, applications, data platforms and tools
How companies earn	Selling equipment and services to data center builders	Subscriptions, usage fees and licenses from AI products
Main revenue driver	Capital spending on AI data centers	Customer adoption and willingness to pay
Main risks	A slowdown in capex, cyclicality, supply chain bottlenecks	Competition, pricing pressure, uncertain monetization
Business model	Often capital intensive, with backlogs and lead times	Often high margin and recurring, with lower capital needs
Costs	Fund expense ratio and trading costs	Fund expense ratio and trading costs
Taxes in general terms	Dividends and gains, as with other equity ETFs	Dividends and gains, as with other equity ETFs
Typical use	Exposure to the AI buildout and its suppliers	Exposure to AI adoption and end-user products

What does an AI infrastructure ETF hold?

AI infrastructure funds target the physical layer. Training and running AI models requires data centers filled with accelerator chips and memory, connected by high-speed networks and supplied with large amounts of electricity and cooling. Each of those needs has a supply chain: semiconductor designers and manufacturers, memory producers, server assemblers, optical and networking suppliers, electrical equipment makers, cooling specialists, construction firms and power producers.

Epoch AI estimated in May 2026 that a one-gigawatt AI data center costs about $37.9 billion up front, with about 56% going to servers, 30% to the facility, 13% to networking and 1% to land and utility works.¹ An infrastructure fund is, in effect, a bet on the companies receiving those dollars. Our article on the AI data center bill of materials breaks down each line.

What does an AI software ETF hold?

AI software funds target the application layer: companies developing models, offering AI features inside existing software, selling data and analytics platforms, or building tools for developers and security. Their revenue depends on customers paying for AI capabilities through subscriptions, usage-based pricing or higher-tier plans. Many are established software companies adding AI to existing products; others are newer firms built around AI.

How do the drivers differ?

Infrastructure follows spending. When large cloud providers and other buyers raise capital spending, infrastructure suppliers see orders. That spending is visible in company filings and guidance, which gives investors a measurable signal. Our article on hyperscaler capex explains how to read it.

Software follows adoption. AI software revenue depends on how many customers use AI products and how much they pay. Adoption can build more gradually and is harder to measure from outside, but successful software can earn recurring revenue with high margins for many years.

Timing differs. In a buildout, infrastructure spending usually comes first, since capacity must exist before it can be used. Software monetization tends to build over time. A theme can therefore reward infrastructure early and software later, or the reverse if spending slows while adoption grows.

How do the risks differ?

Infrastructure risks: capital spending is cyclical. If buyers decide they have built enough capacity, or financing tightens, orders can fall quickly, and suppliers often feel it more than the buyers. Some components are commoditized, which squeezes margins as capacity grows. Bottlenecks in power or equipment can delay projects.

Software risks: competition is intense, and AI features can become standard rather than premium, limiting pricing power. The cost of running models can weigh on margins. Large platform companies can bundle AI tools, making it harder for smaller vendors to compete.

Shared risks: both can carry high valuations when the AI theme is popular, both are sensitive to interest rates through their growth expectations, and both can overlap with large technology companies already held in broad index funds.

How do the portfolios look different?

Infrastructure funds typically span several sectors: information technology for chips and networking, industrials for electrical equipment and construction, and utilities for power. Software funds tend to concentrate in information technology and communication services. As a result, infrastructure funds can behave somewhat like industrial and semiconductor stocks, while software funds behave more like growth technology stocks.

The International Energy Agency’s estimate that global grid investment would reach about $541 billion in 2026 shows how the infrastructure side of AI extends into the power sector.²

How might each behave in different scenarios?

Capital spending accelerates: infrastructure suppliers benefit directly; software companies benefit if spending reflects confidence in future AI demand.

Spending pauses while usage grows: infrastructure orders slow; software companies may benefit from wider adoption on existing capacity.

AI pricing falls sharply: software margins may come under pressure; infrastructure demand may rise if lower prices drive more usage, or fall if buyers cut spending.

How should investors evaluate either kind of fund?

Read the selection rules: how the fund defines AI infrastructure or AI software, and what revenue exposure a company needs.

Check the sector mix and top holdings: they reveal how concentrated the fund is and how much it overlaps with broad indexes such as the S&P 500 or Nasdaq-100.

Compare weighting methods: market cap weighting concentrates in the largest names; other approaches spread exposure.

Review costs and liquidity.

Our article on what an AI ETF is covers the category, and the Thematic ETF Guide collects related articles.

Frequently asked questions

What is the difference between AI infrastructure and AI software?

AI infrastructure is the physical layer that AI runs on: chips, servers, networks, power and cooling inside data centers. AI software is the application layer: models, tools and products that customers use and pay for. Infrastructure companies sell to data center builders; software companies sell to end users and businesses.

Which is riskier?

They carry different risks. Infrastructure suppliers depend on capital spending, which can be cyclical and slow suddenly. Software companies depend on adoption and pricing, which face intense competition. Both can be expensive and volatile when the AI theme is in favor.

Do AI infrastructure ETFs hold utilities?

Some do. Because AI data centers need large amounts of electricity, some infrastructure funds include power producers, utilities, grid equipment makers and related companies. Whether a fund includes them depends on how it defines the theme.

Why would infrastructure benefit earlier than software?

Capacity must be built before it can be used. Data centers, chips and power are purchased in advance of the AI services they are built to support, so infrastructure suppliers often see revenue first, while software revenue builds as customers adopt products over time.

Do these funds overlap with broad index funds?

Often, yes. The largest AI companies are also among the largest holdings in the S&P 500 and Nasdaq-100. Funds that weight by market cap can overlap heavily with a core index fund, while funds that spread exposure across suppliers may overlap less.

Can I hold both?

Yes. Holding both gives exposure to the buildout and to adoption, which may lead or lag at different times. Checking overlap between the two funds, and with any broad index funds, helps avoid unintended concentration.

Cite this page: Adam Patti, "AI Infrastructure vs. AI Software ETFs: What Is the Difference?," VistaShares, updated November 13, 2026, https://www.vistashares.com/ai-infrastructure-vs-ai-software-etfs/. Plain-text version.

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