Artificial Intelligence

Alex Ambrose speaks about navigating the risks and rewards of AI in marketing at Kids Industry Connect: A Children's Advertising and Privacy Summit, hosted by BBB National Programs.

Join ITIF's Center for Data Innovation for a timely discussion on how the United States can build a durable AI alliance that creates strategic partnerships that are mutually beneficial and contains China’s growing technological influence in the Global South.

The White House’s AI Action Plan highlights how upgrading labs, data infrastructure, and research models is essential to unlock AI’s full potential in accelerating drug discovery and keeping the United States at the forefront of biopharmaceutical innovation.

The idea that nations can invoke “AI sovereignty” to draw on U.S. technology when convenient, while walling off their markets, is not a bargain U.S. policymakers should entertain.

Without federal preemption on AI regulations, states are rushing to impose audits, transparency mandates, and sector-specific obligations—often with overlapping or conflicting rules that extend beyond state borders.

Eli Clemens submitted written remarks about how the Consumer Product Safety Commission (CPSC) can use AI to focus its mission at the CPSC's FY26/FY27 Priorities Hearing.

Europe’s pursuit of digital sovereignty rests on a flawed premise: that competing with the United States, rather than China, should be the central priority. To advance this goal, Brussels has embraced the so-called “Airbus model”—the belief that the government-led coordination that created an aerospace champion can be replicated to achieve dominance in semiconductors, cloud computing, and artificial intelligence (AI). The idea is seductive and gaining traction, but the analogy is unproven and misguided.

The United States plans to win the AI race by “exporting its full AI technology stack—hardware, models, software, applications, and standards—to all countries willing to join America’s AI alliance.” To succeed, it will need to pursue the right partners, make offers that meet their ambitions, and resist the urge to lead with virtue over value.

As artificial intelligence upends the creative landscape, history offers a clear lesson: fighting change only delays progress, but those who adapt to it thrive. Creators must do the same with AI.

The Bureau should not treat algorithmic pricing as a risk category in itself. The relevant concern is not whether pricing is algorithmic, dynamic, or AI-enabled, but whether it is used to harm competition or consumers. Addressing that will require focusing on market context and firm conduct rather than the type of tool used.