Mr. Market has found something new to worry about.

America’s largest technology companies are spending enormous sums building artificial intelligence infrastructure. 

They are constructing data centers, purchasing advanced chips, and securing vast amounts of electricity.

Investors see the rising bills and fear these companies are spending too much. 

Every large capital spending announcement raises fresh concerns about falling margins and disappointing returns.

That fear is understandable. 

No investment boom moves forward without waste, mistakes, and failed projects.

However, Gary Hoover, Executive Director of the American Business History Center, recently offered a valuable historical perspective.

His research suggests America’s AI investment remains modest compared to earlier infrastructure revolutions.

The numbers tell a much more optimistic story.

America Has Made Bigger Bets Before

Hoover estimates the United States will invest approximately $2.1 trillion in AI data centers and supporting infrastructure through 2030.

That sounds enormous because $2.1 trillion is an enormous amount of money. Yet the number needs to be measured against America’s total wealth.

Hoover estimates American national wealth reached approximately $144.5 trillion in 2023. Assuming 5% annual growth, national wealth could reach $214 trillion by 2030.

That would make the projected AI infrastructure investment roughly 1.1% of national wealth.

America has made far larger commitments during earlier periods of transformation.

Consider the railroad system, which helped create the modern American economy.

America began its railroad expansion around 1830. By 1916, the country had built more than 254,000 miles of intercity railroad.

Total railroad investment reached approximately $21.1 billion by that time. That sum represented roughly 9.6% of American national wealth in 1916.

Relative to national wealth, Hoover estimates railroads cost nine times more than today’s projected AI infrastructure.

America’s railroad expansion required a far greater share of national wealth than today’s projected AI infrastructure boom. 
Photo by Paul Crook on Unsplash.

The railroad investment still produced bankruptcies, wasted capital, and terrible investments. Yet the system transformed American commerce and strengthened the entire nation.

Farmers reached distant markets. Manufacturers gained access to national distribution. New cities developed around transportation hubs. Businesses moved goods farther, faster, and cheaper.

The benefits spread far beyond the companies owning railroad tracks.

AI infrastructure could create a similar expansion in American productivity.

Previous Networks Required Patience

America followed a similar pattern while building its telephone and cellular networks.

The fixed telephone network began in 1876. It required more than a century of investment before reaching nearly every American home.

Commercial cellular service began in 1983. By 2024, wireless carriers had invested approximately $734 billion in capital expenditures.

That investment eventually supported 579 million active wireless connections. It changed communication, entertainment, banking, transportation, retail, and countless other industries.

Few people understood those possibilities when cellular networks were first being constructed.

Infrastructure usually arrives before its most valuable applications become obvious. Investors often see the cost long before they recognize the opportunity.

AI adoption is moving considerably faster than those earlier networks.

Hoover notes that 18% of American adults had used ChatGPT during 2023. By early 2026, 49% had used an AI chatbot.

Nearly one quarter were using one every day.

Railroads required decades to connect the country. 

Telephones required generations to reach almost every household. 

AI reached nearly half of American adults within three years.

That rapid adoption suggests businesses are not building infrastructure for an imaginary market. Consumers and companies are already finding practical uses for the technology.

Spending Alone Does Not Guarantee Success

This does not mean every AI investment will produce attractive returns.

Some data centers will be poorly located. Some companies will purchase equipment they cannot use efficiently. Others will discover that demand develops more slowly than expected.

Mr. Market is correct to examine capital spending carefully.

However, worrying about individual projects differs greatly from believing America is overinvesting in AI.

The broader commitment remains manageable relative to America’s enormous wealth. The technology is spreading quickly, while potential applications continue expanding.

Most importantly, America owns many critical pieces of the AI infrastructure chain.

American companies design advanced chips, build networking equipment, create cloud platforms, and develop leading AI models. Our capital markets can finance innovation on a scale few countries can match.

This is American prosperity working exactly as it should.

The Opportunity Behind the Fear

Our American Prosperity approach does not depend upon finding every future AI winner.

We look for high-quality businesses providing essential technology, infrastructure, and services. 

These companies should possess strong balance sheets, capable leadership, and durable competitive advantages.

Mr. Market’s current fear can create attractive prices for those businesses.

The railroad boom created losers, but America still needed railroads. The cellular revolution produced failures, but wireless communication still reshaped the economy.

AI will follow a similar path.

Some spending will be wasted. Some expectations will prove too optimistic. Yet the infrastructure will remain, improve, and support future innovation.

America is not recklessly wagering its national wealth. It is investing a relatively small portion of that wealth in greater productivity.

That is not a reason for fear.

It is another powerful chapter in the continuing story of American prosperity.

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Regards,

Charles Mizrahi
Prosperity Insider