To modernize enforcement, the Consumer Product Safety Commission (CPSC) should use AI to analyze real-time and historical data, allowing it to predict and address risks in e-commerce supply chains before harm occurs.

The Trump administration’s "Liberation Day" tariffs foolishly alienate allies instead of strategically targeting China, inadvertently weakening U.S. competitiveness and handing a win to Beijing.

In the Trumpian trade worldview, tariffs are not just a necessary economic tool to correct foreign nations seen as "cheating," but a patriotic mission to restore America’s economic sovereignty and punish the disloyal globalists who, in their eyes, have betrayed the nation.

The fetishization of goods trade deficits in President Trump’s April 2 tariff announcement does a disservice to the many other pressing trade issues impacting the broader U.S. economy.

Despite policymakers’ temptation to adopt flawed competition policies in response to AI, there is no reason at this time for heavy-handed antitrust enforcement or fundamental changes to U.S. antitrust laws.

Policymakers should not attempt to reallocate innovative resources from large to small firms. Instead, Congress should pass the Tax Relief for American Families and Workers Act of 2024 and expand the R&D tax credit. These measures will incentivize firms of all sizes to continue investing in productivity-enhancing and socially valuable R&D.

A report by the IMF indicates that rising government debt in advanced economies results in a decline in economic growth, particularly affecting industries that depend heavily on research and development (R&D), such as high-tech industries.

Canada’s path forward requires becoming a more productive trading nation that is less reliant on external forces and more capable of turning ambition into economic power. Walking away from the most consequential trade conversation of the next decade won’t get Canada there. It has room to negotiate with the U.S. and should use that leverage to secure the full and permanent removal of tariffs.

U.S. AI policy prioritizes training compute while overlooking inference—the compute needed to deploy models effectively. As AI progress shifts toward optimizing inference, policymakers must adapt by supporting global deployment, refining export controls, and promoting energy-efficient AI to maintain U.S. competitiveness.

At Arielle Roth's confirmation hearing, Senators worried reforming BEAD would cause delays—but the real holdup is fiber favoritism; embracing tech neutrality is the fastest way to close the digital divide.