Artificial Intelligence

The right goal for Korea is not an AI tax, but an AI diffusion strategy paired with sound tax reform. The government should help firms adopt AI, help workers transition, and make sure productivity gains are broadly shared, without making the use of AI itself more expensive.

Cities that are successfully scaling AI are investing in workforce upskilling alongside governance and technology deployment. Case studies from Washington, DC, San Jose, Seattle, and Cleveland show that employee training and AI literacy are critical to turning pilot projects into lasting improvements in public service delivery.

Echoing social capitalism, the encyclical gets technology and employment wrong, succumbing to the lump-of-labor fallacy and short-term protection over long-term progress.

Watch now for a discussion on recently introduced chatbot safety bills up for debate in Congress, including the GUARD Act and CHATBOT Act, and what policymakers, parents, and platforms could do to protect children without bans.

The Pope’s AI encyclical reflects social capitalism’s animus toward growth, technology-driven creative destruction, international economic competition, and large business.

As Daniel Castro writes in Tech Policy Press, U.S. export controls were intended to preserve America’s AI lead, but by accelerating China’s push for technological self-sufficiency and strengthening competing AI ecosystems, they may be undermining that goal.

Daniel Castro speaks about policy opportunities and challenges at the Partnerships for Autonomous Science Workshop hosted by the AI Science Foundry at Carnegie Mellon University.

Unlike training-data disputes, CNN's lawsuit against Perplexity alleges near-verbatim reproduction of its journalism through AI search products. Policymakers should favor targeted enforcement—not sweeping AI restrictions.

Proposals to tax AI computing power are proliferating as concerns about AI grow. But an AI compute tax would slow productivity growth, drive investment abroad, and do little to protect workers or preserve the tax base.

Five states—Utah, Connecticut, Ohio, Texas, and North Carolina—are showing how centralized AI sandboxes, oversight frameworks, and clear evaluation metrics can help governments move beyond isolated pilot programs and scale AI tools to deliver measurable improvements in public services.