Commentary

The EU should adopt a more flexible, innovation-driven approach to AI regulation to boost global competitiveness, according to the European Competitiveness Report by Mario Draghi.

U.S. tax policy needs to prioritize innovation and competitiveness—especially as China rapidly gains ground as a leading innovator in advanced industries.

As the United States commands the field with English-language large language models (LLMs) and China climbs the ranks to secure the lead in models for Chinese-language tasks, Europe is barely in the game when it comes to mastering models for its own languages.

Data from the National Center for Science and Engineering Statistics shows that 13.7 percent of firms who use artificial intelligence experienced an increase in total employment.

China accounted for 35 percent of global manufacturing as of 2023. The United States and Western allies should launch a global competition to establish competing manufacturing hubs in countries that commit to reforming restrictive regulations, reducing corruption, boosting skill development, and ensuring adequate financial incentives and infrastructure.

The European Union needs to pay a short-term price for long-term gain by standing alongside the United States in taking tough action to hold China accountable for its IP theft, dumping, and over-subsidizing.

The United States and Japan must make a concerted effort to mutually advance their economic security and counter Chinese economic coercion, while bringing other allied nations aboard the enterprise to the greatest extent possible.

Selena is transforming eye care by leveraging AI to detect diseases like diabetic retinopathy with unprecedented accuracy, helping to diagnose issues early and prevent blindness, thus improving patient outcomes and offering more access globally.

The rise of generative AI tools, such as ChatGPT, has transformed text creation but also raises concerns about misuse, including plagiarism and misinformation. While some propose watermarking to label AI-generated content, this approach is technically flawed and ineffective, failing to address the root causes of these issues; instead, more comprehensive strategies are needed to combat misinformation and promote academic integrity.

A new irrigation technology incorporating AI sensors reduces water use by 30 percent and methane emissions by 47 percent compared to continuous irrigation methods.