As artificial intelligence emerges as a defining battleground between the United States and China, the technology is reshaping geopolitical competition while raising urgent questions about democratic accountability, worker security, and surveillance at home.
President Donald Trump traveled to Beijing for a historic summit last week with some of the United States' most powerful AI executives, including Elon Musk and Nvidia's Jensen Huang, underscoring how central AI has become to great power competition. The United States and China remain locked in a technological arms race, with AI joining tariffs and Taiwan as the most important issues in U.S.-China relations, according to reporting from The Atlantic.
The stakes extend far beyond boardrooms. Political leaders across the spectrum—from Senator Bernie Sanders to Steve Bannon—have elevated AI to the center of public debate, reflecting widespread anxiety about the technology's trajectory. That anxiety is grounded in concrete concerns: the specter of AI-driven layoffs hangs heavy, while the threat of advanced hacking bots capable of taking down electrical grids and breaking into banks looms over critical infrastructure. There will never again be a graduating class that experienced even a year of college without ChatGPT, marking an irreversible shift in how young people encounter education and information.
The Surveillance and Accountability Gap
Domestically, the deployment of AI in law enforcement is creating friction between security claims and civil liberties. The use of AI-enabled license plate cameras has caused a civic uproar in Troy, New York, pointing to a fundamental tension in law enforcement's use of AI—the technology's power to track and identify citizens without adequate public debate or democratic oversight.
Meanwhile, recent leaps in deepfake tools make it harder than ever to assume that any given post on social media is human-made, raising questions about information integrity in democratic discourse. These tools threaten the epistemic foundations that democracy depends on: shared agreement about what is real.
Corporate Investment Dwarfs Public Infrastructure
The scale of private investment in AI infrastructure is staggering and revealing. Silicon Valley has spent ungodly sums on AI and data centers. Microsoft, Amazon, Meta and Google alone have already spent more on data centers since the launch of ChatGPT than the federal government spent to build the entire interstate highway system. Those expenditures are set to grow, even as consensus opinions on whether all this spending constitutes an economic bubble fluctuate every few months.
This concentration of resources in private hands raises a fundamental question about democratic control: Should decisions about transformative technology be left primarily to market forces and corporate boards, or should public institutions play a larger role in shaping AI's development and deployment?
Global Competition and Industrial Capacity
The geopolitical dimension of AI extends to the underlying materials and manufacturing that make the technology possible. China has been crushing the United States in lithium battery manufacturing, but the AI boom is allowing the U.S. battery industry to pivot to the data center business. This shift reflects how AI is reshaping global supply chains and industrial capacity.
In response, the House Foreign Affairs Committee has advanced a suite of export control legislation, signaling that policymakers recognize the need for institutional oversight of AI-related technology flows. These measures suggest growing recognition that AI competition cannot be left entirely to market dynamics.
The Race to Market
Two of the largest private AI companies—Anthropic and OpenAI—are racing to be listed on stock markets in what will likely be two of the largest public offerings in history. This financialization of AI raises questions about whose interests will be prioritized once these companies answer to public shareholders: innovation, worker welfare, democratic values, or profit maximization.
Why This Matters:
The AI revolution is unfolding largely outside democratic institutions, with decisions about deployment, regulation, and societal impact concentrated in corporate hands and geopolitical competition. The scale of private investment dwarfs public infrastructure spending, suggesting that foundational decisions about AI's role in society are being made through market mechanisms rather than democratic deliberation. Domestically, surveillance tools powered by AI are expanding law enforcement capabilities without corresponding public debate or legal frameworks. Internationally, AI competition is driving resource allocation and industrial capacity shifts that will determine which nations maintain economic and technological power. Workers face displacement without corresponding social safety nets or retraining programs. Citizens encounter deepfakes and manipulated information without reliable tools to verify truth. These dynamics—private control over transformative technology, inadequate public oversight, worker vulnerability, and surveillance expansion—reflect a governance gap that center-left frameworks emphasize: the need for stronger democratic institutions, regulation, and public participation in shaping technologies that affect everyone.