Summary of Key Points
The U.S. economy is undergoing a "paradigm shift": moving from a growth model that relied on consumer spending to one driven primarily by AI-related capital investment. Investments in AI infrastructure, data centers, and similar technologies have become the main pillars of economic growth. However, this transition has also brought about significant structural issues—growth is highly dependent on the AI sector alone, the gap between traditional industries and the new AI economy is widening, wealth distribution is extremely uneven, and the labor market is becoming increasingly polarized, creating a stark contrast between the thriving AI sector and the struggling traditional industries. A small elite group is reaping the benefits, while the majority of people are being marginalized.
1. The Engine of Growth Is Changing: From "Consumers Spending" to "Companies Investing in AI"
For decades, the U.S. economy has been fueled by consumer spending; household purchases were at the core of GDP growth. But starting in 2025, this pattern has completely changed, with companies becoming the new drivers of economic growth through AI investments.
- Data Highlights: In the first quarter of 2026, AI-related investments contributed 0.75% to GDP growth, compared to just 0.37% from consumer spending (the lowest level in two years). In the first half of 2025, AI investments accounted for 92% of GDP growth; without them, the economy would have barely grown.
- Future Trends: Institutions predict that AI-related expenditures will exceed $800 billion by the end of 2026, rising from 1.8% of GDP to 2.8% by 2028, making AI an "irreplaceable engine" for the U.S. economy.
In simple terms, in the past, economic growth was driven by consumer spending (e.g., when you bought a phone, I bought a bag); now, it's driven by companies building data centers and purchasing GPUs.
2. The Hidden Concerns of AI Prosperity: Over-reliance on a Single Sector + Widening Industry Gap + Leverage Risks
The prosperity brought about by AI comes with three major risks:
1. Overly Dependence on a Single Sector: AI contributes nearly one-third of GDP growth, and this is largely due to investments from a few tech giants. Investment bank Lazarud warns that if AI technology adoption slows down or investment declines, the U.S. economy could experience a sharp decline.
2. Widening Industry Gap: Although the manufacturing PMI (purchasing managers' index) appears to be improving, only industries related to AI hardware (such as GPUs) and data centers are growing, while the contribution of traditional manufacturing to GDP has fallen below 10% (the lowest level in 30 years). The new and old economies are moving further apart.
3. High Leverage among AI Companies: Tech giants are borrowing heavily to invest in AI, with expenditures far exceeding their cash flows. AI capital spending could exceed $1.1 trillion in 2027. A tightening of financing or a decline in AI-related profits could trigger a chain reaction: reduced cash flow, falling valuations, and halted investments.
There's also a change in the trade balance, with the deficit shifting from imports of clothing and shoes to imports of AI hardware (such as GPUs), leading to an increase in high-tech deficits and a decrease in traditional goods deficits.
3. The Wealth Boom Benefits Only a Few
AI has driven the U.S. stock market to soar, but the benefits are largely concentrated among a few:
- Stock Market Surge, but Uneven Distribution: As of June 2026, the total value of the U.S. stock market had increased by $51 trillion compared to the end of 2022, with the top 10 AI companies being based in the United States (accounting for 92% of the global total). However, the wealthiest 1% of households own 54% of the stock market wealth, while the bottom 90% only hold 7%.
- Wealth Freedom for a Few in Silicon Valley: Founders and early employees of companies like OpenAI and NVIDIA have achieved wealth of over $20 million within five years, while most service industry workers are not benefiting.
- Vulnerable Wealth: AI is the main driver of the U.S. stock market. If the bubble bursts, global capital could flee, leading to a significant loss of household wealth. JPMorgan estimates that a 10% drop in AI valuations would result in a $2.7 trillion reduction in U.S. household wealth and a 95% decrease in consumer spending.
4. The Challenging Labor Market
AI has not led to widespread unemployment but has caused extreme structural changes:
1. Replacement of Cognitive Jobs: Industries with high AI penetration (such as technology and finance) are laying off workers at an accelerated rate, with an average of 28,000 jobs lost per month, accounting for one-third of total layoffs. Employment in AI-related services (e.g., computer design) has decreased by 5%, and the most impacted industries have seen a 1% decline in employment.
2. Uneven Salary Levels: Jobs requiring AI skills (such as algorithm development and data training) are seeing significant salary increases, while salaries for traditional white-collar jobs (such as clerks and accountants) have stagnated or decreased.
3. Weakening Labor Power: In the first quarter of 2026, labor compensation as a percentage of GDP dropped to 50.5% (the lowest level since 1947). Companies are increasingly treating labor as a "cost to optimize" rather than a "core asset," resulting in companies taking more and workers getting less.
Conclusion: The Crossroads of the AI Revolution
Can the prosperity driven by AI truly benefit everyone? Past industrial revolutions (such as electricity and the internet) led to widespread employment and income growth, but AI is different. It monopolizes algorithms, data, and computing power, directly replacing human labor and capturing profits. If this polarization continues, the economy may become a "capital game for the few," leaving the majority behind. The future of the U.S. economy depends on whether these structural issues can be addressed.