By Gloria Ogbonna
The artificial intelligence investment surge is no longer limited to Silicon Valley or a handful of major tech firms. It has now expanded into a full-scale economic transformation so massive that economists say it has already surpassed the investment frenzy seen during the dot-com boom of the late 1990s.
According to a recent analysis by Renaissance Macro economist Neil Dutta, business investment tied to information-processing equipment, software, data centers, manufacturing facilities, and power infrastructure now accounts for nearly six percent of U.S. gross domestic product (GDP). That level is already higher than the share reached during the peak of the internet-driven dot-com expansion.
The scale of the AI buildout is reshaping industries far beyond the technology sector itself. What began as a race among major artificial intelligence companies has evolved into a nationwide industrial investment cycle involving construction firms, machinery manufacturers, power suppliers, and transportation networks.
Dutta noted that many traditional industrial companies are now moving in lockstep with semiconductor stocks because their businesses have effectively become tied to artificial intelligence spending.
Companies such as Caterpillar, Vertiv, Eaton, Cummins, and GE Vernova are now heavily involved in supplying the infrastructure needed for AI expansion, from backup power systems and cooling equipment to industrial machinery and energy generation.
“Their order books have become AI capex order books,” Dutta explained, highlighting how deeply the technology boom has penetrated the broader economy.
Trade figures reveal just how enormous the investment wave has become. Imported capital goods excluding automobiles reached $120.7 billion in March alone and totaled $350 billion during the first quarter of the year.
A major share of those imports consisted of computers, telecommunications equipment, semiconductors, and computer accessories, which together accounted for $71.8 billion in March and more than $207 billion year-to-date.
The sharp rise in imports reflects the extraordinary global demand for AI-related hardware and infrastructure. However, economists point out that imported goods do not directly increase U.S. GDP because they are produced overseas rather than domestically.
Still, Dutta argues that focusing only on traditional GDP calculations misses the bigger economic picture.
“GDP accounting is probably less relevant than the question of whether the investment itself will deliver a meaningful return,” he said.
Even when AI hardware is imported, it still fuels a larger global production cycle that benefits American companies through corporate earnings, stock market growth, and increased household wealth. Rising equity valuations linked to AI investments are also generating stronger tax revenues for state governments and boosting investor confidence across financial markets.
At the same time, domestic manufacturing activity is accelerating rapidly.
New U.S. orders for nondefense capital goods excluding aircraft — often viewed as a key measure of business investment — reached $83 billion in March and totaled more than $241 billion during the first quarter.
That category includes a wide range of equipment critical to the AI buildout, including industrial machinery, construction equipment, power systems, communications hardware, electrical equipment, trucks, ships, and advanced computing infrastructure.
Additional evidence of the boom can be seen in Federal Reserve capacity-utilization data.
Utilization rates in computer and peripheral equipment manufacturing climbed to 83.9 percent in April, levels rarely seen since the height of the late-1990s technology boom.
Unlike previous spikes caused by shrinking industrial capacity during economic downturns, this increase is occurring while production is rising and manufacturing capacity is actively expanding — a sign of unusually strong demand.
Despite heavy spending and rising costs for AI infrastructure, economists note that inflationary pressure has largely remained concentrated within corporate investment markets rather than spreading broadly to consumers.
Businesses are paying significantly more for equipment, machinery, and industrial components tied to AI development. However, consumer technology prices have remained relatively stable.
The latest Consumer Price Index (CPI) data showed that prices for computers, peripherals, and smart-home devices rose only 2.3 percent over the past year, while the broader information technology commodities category actually declined by 6.3 percent.
This distinction is important because it suggests the current AI boom differs from traditional inflationary cycles that typically force the Federal Reserve to aggressively raise interest rates.
Instead of triggering broad consumer price inflation, the pressure remains concentrated upstream within capital spending and industrial production.
Economists increasingly compare the current moment to the technology investment boom of the late 1990s.
Anna Paulson recently recalled that Federal Reserve officials during the dot-com era repeatedly expected inflation to surge as investment accelerated. Policymakers anticipated they would eventually need to tighten monetary policy aggressively.
That inflation surge never fully materialized.
Instead, the U.S. economy experienced strong productivity growth, falling unemployment, and low inflation during much of the period, validating the patient approach taken by then-Federal Reserve Chairman Alan Greenspan.
Today’s economic environment differs in important ways. Inflation remains higher than it was during the late 1990s, and decades of globalization have left the United States more dependent on imported technology components and manufacturing.
Even so, many economists believe the comparison remains useful because investment booms tied to productivity improvements can increase present-day demand while simultaneously expanding future supply and efficiency.
Some analysts argue the U.S. economy may actually be better positioned today than it was during the dot-com era.
Unemployment remains historically low, labor-force growth has slowed, and jobless claims remain far below the levels seen in the late 1990s despite a much larger workforce.
That tight labor market is pushing companies to invest more heavily in automation, artificial intelligence, and productivity-enhancing technologies that allow businesses to grow without creating severe wage-driven inflation.
At the same time, shifting trade policies and reshoring initiatives are encouraging more domestic production and manufacturing investment inside the United States rather than overseas.
This contrasts sharply with the late-1990s environment, when many companies aggressively moved production abroad in search of lower costs.
As a result, businesses today have stronger incentives to expand domestic industrial capacity — particularly if borrowing costs remain manageable and the Federal Reserve avoids sharply increasing interest rates.
Some market analysts believe investors may be misreading the AI boom by assuming it will automatically force the Fed into aggressive rate hikes.
While AI investment is unquestionably increasing demand for capital goods and industrial infrastructure, it is also creating the productive capacity needed to meet future demand more efficiently.
So far, there is little evidence that the AI surge is creating the kind of widespread consumer inflation that would normally alarm central bankers.
For Federal Reserve officials, the central question is whether the AI boom will spill into broad inflation across the economy or remain primarily a supply-side investment cycle that strengthens productivity and long-term economic growth.
At least for now, the evidence appears to support the second scenario.
Rather than a consumer-driven spending bubble, the current AI expansion increasingly resembles a historic supply-side transformation — one that could reshape manufacturing, technology, energy production, labor markets, and the broader economy for years to come.
Source Breitbart
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