The Dual Forces Reshaping the Economy: Debt-Funded Growth Meets Technological Deflation

Is GDP the Best Measure?

Government spending often gets framed as economic strength. Large appropriations, especially in defense, signal growth, job creation, and national vitality. When Defense Secretary Pete Hegseth announced in March 2026 that the Pentagon would seek $200 billion in additional funding for Operation Epic Fury the headline number dominated the news cycle. Two hundred billion dollars represents a massive injection into the economy: contracts for defense manufacturers, salaries for military personnel, logistics operations spanning continents, and the entire supply chain that supports modern warfare. This sounds like it will be a major windfall to an economy that has felt a bit stagnant.

But the source of that spending matters more than the headline number. The mechanism by which those dollars enter the economy determines whether they represent genuine wealth creation or a temporary illusion built on borrowed time. In an era where artificial intelligence and automation is simultaneously driving down costs across entire sectors of the economy, the interaction between deficit-funded government spending and technology-driven deflation creates a tension that will define investment returns, business survival, and economic stability for the next decade.

We need to ask whether that growth is driven by productivity or by debt. The answer matters and will have a ripple effect for years, or generations, to come.

How Spending Increases GDP

Gross Domestic Product, the primary measure of economic output, is calculated using a straightforward formula: GDP = C + I + G + (X — M), where C represents consumer spending, I represents business investment, G represents government spending, and (X — M) represents net exports. Government spending is a direct input into this equation. When the federal government allocates hundreds of billions of dollars, GDP rises mechanically. The equation does not distinguish between productive investment and funded expenditure. It simply counts the dollars.

In fiscal year 2025, the federal government spent $7.01 trillion, representing 23% of total GDP. This means nearly a quarter of all measured economic activity in the United States flows directly through government accounts. Federal spending per capita reached $20,474 in 2025, a figure that has increased nearly one-hundred-fold since 1916 when adjusted for inflation. According to the Committee for a Responsible Federal Budget, government spending increased by $142 billion in the first half of calendar year 2025 compared to the same period in 2024, despite widespread rhetoric about cost-cutting and fiscal discipline.

When the Pentagon requests an additional $200 billion for military operations, that money flows into the economy through multiple channels. Defense contractors receive procurement orders for ammunition, vehicles, aircraft, and technology systems. Military personnel receive salaries and benefits. Logistics companies transport equipment. Fuel suppliers provide energy. Medical facilities treat casualties. The entire ecosystem of defense spending creates measurable economic activity that registers as GDP growth.

From a purely mechanical standpoint, this spending boosts GDP. Companies report higher revenues. Employment in defense-adjacent sectors remains stable or grows. Stock prices for defense contractors rise. Economic growth appears robust. But this mechanical increase obscures the critical question: where does the money come from?

The Funding Mechanism

The United States government operates with a structural deficit, meaning it spends more than it collects in tax revenue. In fiscal year 2025, total spending of $7.01 trillion far exceeded tax receipts, requiring the Treasury Department to issue debt to cover the gap. The national debt exceeded $39 trillion in March 2026, a milestone that underscores the cumulative effect of decades of deficit spending.

When the Pentagon seeks $200 billion for Operation Epic Fury, Congress does not identify $200 billion in spending cuts elsewhere or raise taxes by $200 billion. Instead, the Treasury issues bonds, government debt instruments that promise to repay the principal plus interest at a future date. These bonds are purchased by a variety of entities: domestic banks, foreign governments, pension funds, insurance companies, and individual investors. The Federal Reserve, through its monetary policy operations, indirectly supports this debt issuance by managing interest rates and, during periods of quantitative easing, directly purchasing government securities. No wonder the current administration is pressing hard on the Federal Reserve Bank to lower interest rates.

This mechanism increases the money supply. New dollars enter circulation without a corresponding increase in goods and services. The government spends $200 billion that did not previously exist in the economy. It was created through the debt issuance process. Defense contractors deposit their payments into banks, which then lend those deposits to other borrowers at a ratio of $10 lent to $1 deposited, multiplying the effect through fractional reserve banking. The money supply expands.

This is not inherently problematic in the short term. Governments have financed wars, infrastructure projects, and emergency responses through debt for centuries. The issue arises when deficit spending becomes structural rather than episodic, when the government consistently spends beyond its means year after year, and when the accumulated debt grows faster than the economy’s ability to service it.

The Congressional Budget Office projects that entitlement programs (Social Security, Medicare, and Medicaid) combined with interest payments now represent over 60% of federal spending, and these categories increased by 9% in 2025 alone. Interest on the national debt consumes an ever-larger share of the budget, creating a self-reinforcing cycle: more debt requires more interest payments, which require more borrowing, which increases the debt further. This process is known as a debt spiral.

The Inflationary Effect

When new dollars enter the economy without a proportional increase in the supply of goods and services, basic economic principles predict upward pressure on prices. This is the fundamental mechanism of inflation: too many dollars chasing too few goods.

Deficit-funded government spending creates demand without creating supply. When the Pentagon spends $200 billion on military operations, it competes with private sector buyers for labor, materials, energy, and manufactured goods. Defense contractors hire engineers, pulling them from the private sector labor pool. They purchase steel, aluminum, and rare earth minerals, competing with civilian manufacturers. They consume fuel, electricity, and logistics capacity. This increased demand, funded by newly created money, pushes prices upward.

The inflationary effect is not immediate or uniform and propagates through the economy over time, affecting different sectors at different rates. Asset prices often rise first: stocks, real estate, and commodities respond quickly to increased liquidity. Consumer prices follow with a lag, as businesses gradually pass increased costs to customers. Wage inflation typically lags furthest behind, as labor markets adjust slowly and workers negotiate compensation increases only after experiencing reduced purchasing power.

Over time, sustained deficit spending erodes purchasing power even as headline GDP growth appears strong. A dollar today buys less than a dollar yesterday. Savings lose value. Fixed-income retirees find their pensions insufficient. Workers discover that wage increases fail to keep pace with the rising cost of housing, healthcare, and education.

The Federal Reserve’s preferred measure of inflation, the Personal Consumption Expenditures (PCE) price index, fell from 2.5% in 2024 to lower levels in 2025 and 2026, according to Congressional Budget Office projections. But these aggregate figures mask significant variation across categories. Housing costs, healthcare expenses, and education prices have risen far faster than the overall index, while technology goods have declined in price. The average American experiences inflation very differently than the aggregate statistics suggest. This “hidden” tax impacts wage earners disproportionately compared to those who own the appreciating assets.

The Illusion of Growth

GDP growth driven by deficit spending can mask underlying economic fragility. When government expenditure accounts for 23% of GDP, and when that spending is funded by debt rather than tax revenue, the growth it generates is fundamentally different from growth driven by private sector productivity gains.

Consider two scenarios. In the first, GDP grows by 3% because businesses develop new technologies, improve operational efficiency, and create products that consumers value enough to purchase voluntarily. This growth reflects genuine wealth creation: more goods and services exist than before, and people are better off in real terms.

In the second scenario, GDP grows by 3% because the government borrows $500 billion and spends it on military operations, infrastructure projects, or transfer payments. This spending creates measurable economic activity, but it does not necessarily create wealth. The goods and services purchased may have value, but they are funded by future obligations. The growth is real in nominal terms but represents a transfer from future taxpayers to present beneficiaries.

Asset prices may rise in both scenarios, but for different reasons. In the productivity-driven scenario, asset prices rise because companies generate higher profits from genuine efficiency gains. In the debt-driven scenario, asset prices rise because increased money supply inflates all nominal values, not because underlying businesses have become more valuable in real terms.

Revenue growth can similarly mislead. A defense contractor may report record revenues from the $200 billion in Pentagon spending, but if those revenues are funded by government debt, they represent a claim on future tax receipts rather than sustainable market demand. When the spending ends, when the war concludes, or when fiscal constraints force budget cuts (ha ha), the revenues disappear.

This is the illusion of growth: economic activity that appears robust on the surface but lacks the foundation of genuine productivity improvement. It creates a false sense of prosperity that can persist for years or even decades, but eventually confronts the reality that debt must be repaid or inflated away.

The Counterforce: Technology

At the same time that deficit spending pushes prices upward, a powerful counterforce is emerging: artificial intelligence and automation are driving costs downward across vast sectors of the economy. This creates a deflationary pressure that directly conflicts with the inflationary effects of fiscal policy.

The St. Louis Federal Reserve reported in October 2025 that generative AI tools like ChatGPT, Claude, and others have generated a 1.1% increase in U.S. productivity by the second half of 2024 relative to 2022, before these tools became widely available. This productivity gain comes from workers completing tasks more quickly, improving the quality of their output, or both. Survey data collected by researchers found that workers across various occupations and industries are saving significant time by using AI tools to draft documents, analyze data, generate code, and automate routine tasks.

Firms expect even larger impacts in the near future. According to research tracking business expectations across multiple countries, firms predict that AI will increase their productivity by an average of 1.4% over the next three years, equivalent to approximately 0.5% per year. The Wharton Budget Model estimates that by 2035, AI could account for 60–70% of total productivity growth in the U.S. economy.

These productivity gains translate directly into cost reductions. Salesforce CEO Marc Benioff announced in 2025 that AI had enabled the company to eliminate approximately 4,000 customer service roles. These positions were not outsourced or relocated. They were automated entirely. The work still gets done, but without the labor cost. Similar patterns are emerging across industries. Software development costs are falling as AI tools generate code. Customer service expenses decline as chatbots handle routine inquiries. Content creation becomes cheaper as AI assists with writing, design, and video production. Legal research requires fewer billable hours. Financial analysis happens faster with less human input.

The Wharton Budget Model estimates that approximately 42% of current jobs are potentially exposed to AI automation, defined as positions where at least 50% of tasks could be automated by generative AI. This does not mean 42% of jobs will disappear immediately, but it indicates the scale of potential disruption. Even if AI displaces only a small fraction of workers in exposed occupations, say 2%, that could eliminate nearly one million U.S. jobs and increase the unemployment rate by 0.5 percentage points. This seems conservative in light of the layoffs already announced.

Beyond direct labor displacement, AI creates deflationary pressure through pricing compression. When software development becomes cheaper, software prices fall. When customer service costs decline, subscription prices face downward pressure. When content creation becomes automated, creative services become commoditized. Venture capitalist David Friedberg observed that AI and no-code tools enable companies to build their own internal software solutions at a much lower cost than purchasing comparable software from third parties, resulting in “increased churn and pricing compression, resulting in deflationary SaaS pricing power.”

This is structural deflation: a persistent downward pressure on prices driven by technological improvement rather than demand collapse. It is fundamentally different from the deflation that occurs during recessions, when falling prices reflect economic weakness. Technology-driven deflation occurs even as the economy grows, because the same output can be produced with fewer inputs.

The Resulting Tension

The economy is now caught between two opposing forces: inflation from debt-funded government spending and deflation from AI-driven productivity gains. This tension creates volatility, distorts pricing signals, and exposes structural weaknesses in business models and investment strategies.

In some sectors, the inflationary force dominates. Healthcare costs continue rising despite technological improvements, driven by regulatory complexity, demographic trends, and third-party payment systems that insulate consumers from price signals. Education costs rise as institutions compete for students with expensive facilities and services. Housing costs increase in supply-constrained markets where construction cannot keep pace with demand fueled by monetary expansion.

In other sectors, the deflationary force dominates. Software prices fall as AI reduces development costs. Media and entertainment face pricing pressure as content creation becomes automated. Professional services, including legal, accounting, and consulting, confront margin compression as AI handles routine tasks. Manufacturing costs decline as automation improves and supply chains optimize.

The aggregate effect is economic instability. Businesses struggle to forecast demand when prices move unpredictably. Investors face difficulty valuing assets when nominal growth may reflect inflation rather than real value creation. Workers experience anxiety as some wages rise while others stagnate, and as job security varies dramatically across occupations.

Citi warned in February 2026 that if AI adoption accelerates and causes significant unemployment, the U.S. could face a deflationary spiral, a scenario where falling prices and rising unemployment reinforce each other in a downward cycle. While the timing remains uncertain, the bank noted that “eventually AI implementation will lead to higher unemployment and deflation, and the skew for U.S. rates is likely lower.”

This is not a prediction of imminent collapse, but rather a recognition that the economy is navigating unprecedented territory. Never before has such rapid technological change coincided with such massive government debt accumulation. The historical precedents, including the Industrial Revolution and the computer revolution of the 1990s, occurred in fiscal environments very different from today’s $39 trillion debt burden.

Implications for Investors and Business Owners

Relying on GDP growth as a signal is insufficient in this environment. The Administration would like to make headlines of huge GDP numbers though. Traditional metrics that worked in more stable periods may mislead when the economy is pulled between inflationary and deflationary forces. The focus must shift to structural resilience, the ability to withstand both inflationary and deflationary pressures without catastrophic failure.

For investors, this means several things. First, distinguish between nominal growth and real growth. A company reporting 10% revenue growth in an environment of 8% inflation is barely growing in real terms. Conversely, a company maintaining flat revenues while reducing costs by 15% through AI adoption is creating genuine value even though headline growth appears weak.

Second, prioritize pricing power. Companies that can raise prices without losing customers, because they provide unique value, operate in regulated markets, or face limited competition, will fare better in inflationary environments. But pricing power alone is insufficient if costs are rising faster than prices. The combination of pricing power and cost control provides the strongest defense.

Third, examine liability structures. Fixed-rate debt becomes advantageous in inflationary environments, as the real value of the obligation declines over time. Variable-rate debt creates vulnerability to interest rate increases. Companies with large fixed-rate debt loads and strong cash flow can benefit from inflation, while those with variable-rate obligations or weak cash flow face increasing pressure.

Fourth, assess AI exposure. Companies in sectors with high AI automation potential face both opportunity and threat. Those that successfully implement AI can dramatically reduce costs and gain competitive advantage. Those that fail to adapt will see margins compressed by competitors who do. The 42% of jobs exposed to AI automation suggests that entire business models may become obsolete within a decade.

For business owners, the implications are even more direct. Cost structure must be continuously optimized. Labor-intensive business models face existential pressure from AI automation. The question is not whether to adopt AI, but how quickly and effectively. Waiting for certainty means falling behind competitors who move faster.

Revenue diversification becomes critical. Dependence on government contracts or government-funded customers creates vulnerability to fiscal constraints. When deficit spending eventually faces political or market limits, government-dependent revenues will contract sharply. Diversification across customer types, geographies, and revenue streams provides resilience.

Adaptability matters more than optimization. In stable environments, businesses succeed by optimizing for current conditions, finding the most efficient way to serve existing customers with existing products. In volatile environments, optimization can become a trap. The most efficient business model for today’s conditions may be completely wrong for tomorrow’s. Adaptability, the ability to pivot quickly as conditions change, becomes the paramount skill.

Closing Thoughts

The American economy stands at an inflection point. Government spending continues to grow, funded by debt that now exceeds $39 trillion. The Pentagon seeks $200 billion for military operations, and this is their first ask at the beginning of the operations. Entitlement programs expand automatically as the population ages. Interest payments consume an ever-larger share of the budget. This spending creates the appearance of growth, pushing GDP higher and generating economic activity that registers in all the traditional metrics.

Simultaneously, artificial intelligence is transforming the cost structure of the economy. Productivity gains of 1.1% have already materialized, with firms expecting 1.4% annual gains going forward. Forty-two percent of jobs face potential automation. Software costs are falling. Service prices face compression. Entire business models are being disrupted.

These two forces, inflation from debt and deflation from technology, will define the next decade. They create opportunity for those positioned to benefit from both trends: businesses that can capture government spending while simultaneously reducing costs through AI, investors who can distinguish real growth from nominal growth, individuals who can adapt their skills to remain valuable in an AI-augmented economy.

But they also create risk for those caught on the wrong side: businesses dependent on labor-intensive models in automatable sectors, investors who mistake debt-fueled activity for genuine prosperity, individuals whose skills become obsolete as AI advances.

The tension between these forces is not a problem to be solved, but a reality to be navigated. Those who understand the mechanism, who see beyond the headline GDP numbers to the underlying dynamics of debt, inflation, technology, and deflation, will be positioned to make better decisions. Those who rely on traditional signals and historical patterns will find themselves repeatedly surprised as the old rules stop working.

The economy is changing faster than our mental models can adapt. The only certainty is that the next decade will look very different from the last. The question for each investor, business owner, and worker is simple: are you positioned for the economy that is coming, or the economy that used to be?