Publications

To the extent intervention is deemed necessary, ITIF respectfully urges the Competition and Markets Authority to avoid following the EU DMA’s path of heavy-handed regulation when it comes to potential steering measures in the app store space and instead look to other jurisdictions, like Japan, that have taken a more tailored and flexible approach.

After decades of bad advice that led many developing nations down the wrong path and ignored evidence against neoclassical dogma, the World Bank should have the courage to admit it was wrong.

Chinese firms with ties to Beijing—and in some cases China’s military—are quietly exploiting America’s open economy, taxpayer support, and weak post-acquisition oversight, and Congress should close those loopholes before more U.S. innovation and industrial capacity are used to advance China’s strategic aims.

Fifty-four members of Congress told Korea’s ambassador earlier this week: Stop targeting American tech companies—or risk the U.S.-Korea alliance itself.

Over the past 26 years, researchers on the International Space Station have produced roughly 4,000 research papers and have helped to develop treatments for several diseases, including cancer, Alzheimer’s, and heart disease.

The competitiveness of the auto industry of the United States has waxed and waned over the past 60 years and is clearly not the globally dominant behemoth it once was. To bolster the industry’s competitiveness, policymakers first must understand why it has faltered and the challenges it faces moving forward.

The U.S. government needs to do what many nations around the world are already doing by leaning into rail technologies such as positive track control and automated track inspection, not resisting them on behalf of special interests.

While the U.S. has focused on securing AI systems themselves, it must urgently shift toward using AI defensively—through coordinated government, industry, and infrastructure efforts—to counter the growing threat of AI-powered cyberattacks on existing systems.

AI is supposedly going to make America’s current level of income inequality explode. That will not happen. The idea rests on far-fetched assumptions about monopolies, mass job loss, and winner-take-all dynamics that AI won’t change.

AI is a general-purpose technology with tremendous promise. But U.S. AI leadership and adoption is by no means assured, because there is intense international competition.