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The winner takes it all. What happens if the United States loses?
The United States is placing a monumental bet on Artificial Intelligence, positioning it as the central engine for its economic growth, stock market performance, and national security. AI-related investments are now the primary drivers of U.S. GDP growth, with spending on AI data centers accounting for half of all business investment. Before SpaceX's recent IPO, AI companies already comprised over 40 percent of the U.S. equity market value. With projected trillion-dollar-plus IPOs from OpenAI and Anthropic later this summer, AI's market share is expected to exceed 50 percent, with 85 percent of the S&P 500's 2026 gains attributed to these companies. Beyond economics, AI is deeply integrating with the national security apparatus, with the U.S. government becoming a significant client of leading AI firms. An unconventional coalition, including President Donald Trump, Senator Bernie Sanders, and OpenAI CEO Sam Altman, is exploring avenues for the government to become a major stakeholder in these companies. This deep entanglement signals a national strategy where the U.S. views AI as an indispensable, transformative force across all critical sectors.
The fervent pursuit of AI dominance is fueled by three powerful and intertwined forces. Firstly, AI companies are motivated by the unprecedented financial rewards, with leaders envisioning fortunes in the trillions and unparalleled influence, as demonstrated by AI CEOs’ participation in the G-7 meeting. This quest for wealth and power drives aggressive strategies. Secondly, U.S. economic policymakers, notably Treasury Secretary Scott Bessent, see an 'AI miracle' as the primary hope to avert an impending economic catastrophe. The nation faces unsustainable annual fiscal deficits (nearly 6 percent of GDP) and government debt, with interest payments now surpassing the defense budget. AI's promise of skyrocketing productivity and growth is seen as the only viable escape from this financial quagmire. Thirdly, the national security community has unequivocally declared AI an 'existential' technology. The prevailing belief, heavily influenced by technology titans, is that the first nation to achieve Artificial General Intelligence (AGI)—a super-intelligence capable of self-improvement—will gain an irreversible, decisive advantage, effectively ruling the world. As former Secretary of State Condoleezza Rice articulated, this is a race the U.S. 'absolutely has to win.' These three pillars—profit, economic salvation, and global supremacy—form the bedrock of America's risky AI strategy.
Despite the immense stakes, the U.S. approach to AI is fraught with risks, prompting warnings of a potential bubble. Financial experts caution against concentrating vast investments in a single, highly volatile sector, likening the current situation to the real-estate bubble of 2008 or the dot-com bust of 2000. In the first half of 2026, over 80 percent of global venture capital funding poured into AI start-ups. Tech giants like Google, Microsoft, Meta, and Amazon plan to spend over $1 trillion on AI infrastructure in 2025-2026, heavily reliant on debt markets. Furthermore, circular transactions are inflating share prices as frontier AI companies contract with chipmakers who then reinvest in their customers. Bank of America's global fund manager survey for July identified a bursting AI bubble as the key financial market risk, with valuations exceeding earnings at levels not seen since 1929. Investor Michael Burry has warned of 'unavoidable' consequences from this extreme market. Recent market corrections, such as hyperscalers building excess compute capacity and aggressive price cuts (DeepSeek offering 99% discounts compared to competitors, and OpenAI slashing prices by 80%), signal potential commoditization and erosion of pricing power. Simultaneously, public resistance is mounting, with 7 in 10 Americans opposing new AI data centers and 80 percent concerned about job losses, educational harm, and the blurring of truth and fiction online.
China, the only other major AI superpower, is pursuing a markedly different and 'strikingly different' strategy that warrants careful consideration from the U.S. While Beijing also deems AI nationally critical, its approach is 'more relaxed' and less focused on a frantic 'compute' race. Despite possessing a $3.6 trillion sovereign wealth fund and a $1.2 trillion trade surplus, China's large corporate AI champions (Baidu, Alibaba, Tencent) spent only about one-tenth of what U.S. hyperscalers invested in 2025. Yet, they are developing AI models that rival U.S. leaders. China's 'AI Plus' program emphasizes deep societal integration for productivity gains, scientific advancement, streamlined governance, and improved daily life, rather than a singular focus on achieving AGI. Furthermore, Chinese AI companies leverage open-source models, offering them free globally, a strategy reminiscent of Google's Android success against Apple's proprietary iOS. This has resulted in Chinese AI models handling nearly two-thirds of the world's AI use (measured in tokens) and being five of the most popular on AI leaderboards. Companies like Airbnb report tenfold cost savings using Chinese AI, highlighting a cost-effective, widely adopted alternative to the U.S. model. China's strategy bets on 'brain cells' over 'GPUs,' focusing on talent and accessibility.
The failure of the United States' AI 'miracle' would unleash economic consequences far more severe than the real-estate bubble of 2008 or the dot-com bust of 2000, potentially leading to another '1929-level' economic depression. Such a downturn would involve a catastrophic collapse of wealth, a drastic fall in government revenues, and an overwhelming surge in demand for social programs. These factors would fundamentally disrupt all national security and defense investment plans, diverting crucial resources away from strategic priorities. Beyond the immediate economic devastation, the impact on global confidence in the United States would be profound and deeply disturbing. The visible failure of the world's technology leader in a self-declared 'most consequential technology race' would severely erode international trust, reminiscent of how the 2008 financial crisis exposed Wall Street's recklessness to leaders like Xi Jinping, altering their global financial system perceptions. This potential loss of economic stability and international credibility could create conditions for widespread global instability, echoing historical periods of geopolitical upheaval.