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The current political climate in the United States is widely characterized by deep polarization, institutional friction, and a decline in public trust. According to a global risk poll, Americans are ten times more likely than the global average to identify politics as the single greatest threat to their daily lives and personal safety. The primary threats facing the U.S. political climate today

Whether stopping immigration will cause labor shortages is one of the most hotly debated questions in modern labor economics. The answer is nuanced and depends on the timeframe (short-term vs. long-term), the specific sector of the economy, and how businesses and governments adapt. Generally, stopping immigration causes immediate, acute labor shortages in specific sectors, but over the long term

The political climate in the United States is characterized by deep polarization, historically low public trust in institutions, and fundamental debates over the functioning of American democracy. While there is a broad national consensus that the political system faces significant threats, Americans and political analysts are sharply divided on the sources and nature of those threats. An overvi

AI systems like large language models (LLMs), general-purpose AI (GPAI), and frontier models are governed by a fragmented, evolving mix of binding laws (primarily risk-based in the EU and sector/use-case or capability-based in US states and China), voluntary frameworks, international principles, and existing adjacent laws (e.g., data protection, product liability, consumer protection, anti-discrim

I will research current laws, regulations, standards, and guidelines that apply to the development, deployment, and accountability of AI systems.A mix of binding laws (especially the EU AI Act and various national/state rules), soft-law principles, sector-specific applications of existing law, and voluntary frameworks govern the building, deployment, and accountability of AI systems like large lan

A mix of binding laws (especially risk-based horizontal regimes), soft-law principles, voluntary frameworks, technical standards, sector-specific rules, and company self-regulation currently govern how AI systems like large language models or chatbots are built, deployed, and held accountable. The landscape is fragmented and rapidly evolving as of mid-to-late 2026, with no single global binding tr