James Broughel is a Contributor at Forbes. He covers breaking news related to state and federal regulation, with expertise spanning a broad range of issues from artificial intelligence to nuclear power. Broughel's work has been featured in prominent outlets such as The Wall Street Journal, Yahoo Finance, and The Hill.
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James Broughel's coverage suggests a strong focus on government announcements, legal policy regulation, and data citations within the themes of politics, government & politics, finance & economy, and environment. His articles cover an array of complex topics such as AI economics, environmental regulation, and permitting reform.
When reaching out to James with pitches or expert insights related to his coverage areas, consider providing well-researched analysis on government policies or regulations in the fields of AI technology and its economic implications. Also consider offering expertise regarding cost-benefit analysis in regulatory decision-making processes or insights into the impact of government actions on for-profit and non-profit organizations.
It's important to note that while there is no specific geographic focus mentioned for James' work; however it would be beneficial to offer examples from different regions if relevant to provide a broader perspective.
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Few topics in international economics dominated the policy conversation of the early 2000s as completely as global saving imbalances.
America has more content, more credentials, more publications, more podcasts, more applicants, more creators, more consultants and more thought leaders than perhaps any society in history.
As AI infrastructure expands across America, communities are questioning whether the benefits of data centers outweigh the costs to power grids, water supplies, and local disruption.
Wall Street has spent the past year pricing in an artificial-intelligence revolution. Now investors are starting to question whether the boom has gotten ahead of reality.
Major technological revolutions often prompt doubts about whether existing economic measures can keep up. Artificial intelligence is no exception.
GDP does not need to be redefined for the AI age. The harder measurement problem is how price indexes account for rapidly changing quality and falling prices.
AI will reduce transaction costs and improve many markets. But it will also make some problems cheaper to create, from fraud to pressure on infrastructure.
Industrial-scale cooling equipment at a large data center in Loudoun County, Virginia. AI will solve many problems, but it will create new ones as well, from pressure on local infrastructure to fraud.
Government data are usually described as a public good. A dataset collected once can be used by many researchers for many projects.
Senator Bernie Sanders introduced the American A.I. Sovereign Wealth Fund Act, proposing a one-time 50% stock tax on large AI companies. This would create a $7 trillion public fund, managed by an independent commission, distributing 5% of its value annually to Americans. The initiative asserts public ownership is justified because AI relies on a vast intellectual commons and taxpayer-funded research. While the concept of public equity in AI gains bipartisan traction, critics argue Sanders's 50% claim could deter capital formation, and raise concerns about governance and premature dividend payouts. Despite these issues, the proposal is seen as a serious effort to ensure the public shares in AI's extraordinary, publicly-supported gains.
