The biopharmaceutical industry generated over $800 billion in direct output in the United States in 2022, and indirectly supported an additional $850 billion in output through its suppliers and other downstream sectors, for a total of $1.65 trillion in economic output.

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.

A ban on personalized pricing would not make Canada more affordable; it would eliminate discounts at the bottom of the distribution and raise the floor for price-sensitive shoppers, the very consumers these proposals aim to protect.

If the UN were serious about ending poverty and improving living standards worldwide, it would make productivity growth the organizing principle of its sustainable development agenda.

Broad semiconductor tariffs may aim to strengthen U.S. national security, but could ultimately weaken U.S. technological leadership. Higher chip costs could raise consumer prices while slowing investment in the AI infrastructure that drives future growth.

New York City’s broadband report cherry-picks outdated data to make the case for government-owned networks, but its own evidence shows competition is strong and affordability challenges require targeted support—not more infrastructure mandates.

AI systems like Robin could reshape early-stage drug discovery, but only if policymakers support the data, infrastructure, regulatory clarity, and incentives needed to scale them responsibly.

If cancer deaths were to be fully eliminated by 2030, over the subsequent 35 years, 30.7 million deaths would be averted, saving 380 million years of life. These additional years of life would also yield substantial economic benefits, as each year of life generates economic value, increased productivity, and tax revenue.

Despite Magnifica Humanitas’s discussion of AI and economic power, today’s AI market remains highly competitive, and policymakers should be cautious about using monopoly fears to justify heavy-handed regulation.

As AI-powered cyber threats become more advanced, the federal government should modernize the CyberCorps SFS program by integrating AI-security training, reforming cyber hiring pipelines, and expanding training infrastructure to build a stronger cybersecurity workforce.