This post announces the top three winners from a 600+ submission essay contest on major AI challenges. Jassi Pannu outlines a state-scale plan to end airborne pathogens, Ege Erdil advises growth-focused policies for countries outside the AI supply chain, and Michael Li compares AI labs’ economics to Hong Kong’s MTR model. Each full essay follows the brief winner descriptions.

• Far-UVC lighting infrastructure could cut seasonal flu mortality 60% and add $1T+ to global GDP for a $40-60B/10-year investment, while also blunting engineered pandemic risk.
• Erdil argues countries outside the AI supply chain should pursue standard growth policies (property rights, low capital taxes, light regulation) rather than geopolitical maneuvering to stay economically relevant.
• Li compares AI labs to Hong Kong's MTR, suggesting labs could offset massive compute costs by owning complementary "adjacent" assets rather than relying solely on core product revenue.

Anthropic warns AI may boost economic growth while displacing millions of workers and urges governments to strengthen unemployment benefits, wage support, retraining, and public services now. If AI eventually replaces broad human labor, it proposes new taxes, digital dividends, universal basic income, and other wealth-sharing measures to redistribute gains.

• Anthropic warns AI could drive massive economic growth while eliminating demand for most human labor, and current welfare systems won't adapt fast enough.
• They propose a three-stage framework, with Stage 3 being when machines handle most tasks, output surges, but millions are left without paid work.
• Anthropic urges governments to act now on unemployment benefits, wage support, and retraining, then later consider AI usage levies, wealth-sharing, or universal basic income if mass displacement occurs.
• They caution that such bold redistribution policies will likely face significant delays, lobbying, and loopholes before implementation.

A Stat survey of nearly 1,000 NIH grantees shows 27% got no funding back after a $32 billion cut, while only 35% saw full restoration. Experts warn the loss slowed careers, pushed talent to industry or abroad, and could undercut future breakthroughs and public health.

• Only 35% of nearly 1,000 surveyed NIH grantees got full funding restored a year after $32 billion in cuts; 27% got nothing back
• The instability is pushing early-career researchers out of academic research entirely—into industry or abroad
• Knudsen ties steady NIH funding to a 34% drop in cancer deaths since 1991 and warns cuts will favor "safer" projects over bold clinical trials
• Some see it as a forced "reset" that could push NIH to redesign how it allocates grants, though rebuilding lost infrastructure will take years

This article examines how systemic racism drives higher rates of maternal mortality and complications among Black birthing people in the U.S. It reviews policy fixes—such as paid leave, telehealth expansion, and the Momnibus Act—alongside health-care reforms like diversifying the perinatal workforce and boosting midwife and doula access, and highlights community organizations leading local efforts.

• Black women die from pregnancy-related complications at 2-3x the rate of white women, mostly from preventable causes, regardless of income or education—wealthiest Black Californians face higher maternal mortality risk than poorest white Californians.
• The 1910 Flexner Report shut down all but two historically Black medical schools, creating today's shortage of Black physicians, while Black "granny midwives" who once attended half of U.S. births were sidelined to under 1% by 1975.
• The Black Maternal Health Momnibus Act bundles 12 bills to address these disparities, but only one component (Protecting Moms Who Served Act) has actually become law.
• Paid family leave and telehealth expansion (via CARES Act) have shown measurable success in narrowing racial gaps in postpartum care, yet the U.S. still has no national paid-leave guarantee.

The ninth AI Index report from Stanford HAI compiles global metrics on AI research, performance, adoption, economics, policy, and public opinion through 2025. It highlights rapid generative AI uptake, gaps in governance and evaluation, new economic and labor estimates, and standalone chapters on AI in science and medicine.

• Generative AI adoption hit ~53% of the population in just three years, faster than PCs or the internet, with corporate investment more than doubling in 2025 and 88% of organizations now using AI tools.
• Benchmarks are breaking down as labs disclose less, tests saturate, and independent evaluations sometimes contradict developer claims.
• 2025 saw diverging global AI policy: EU AI Act bans took effect, the US leaned deregulatory, Japan/South Korea/Italy passed new laws, and most new national AI strategies came from developing countries emphasizing "AI sovereignty."
• AI in science and medicine moved from isolated assistance to running full experimental workflows and system-wide hospital deployments (ambient scribes, diagnostic tools, FDA approvals).

This article discusses the need for new industrial policies to manage the transition to superintelligent AI. It emphasizes the importance of democratic processes in shaping AI's future, ensuring broad access and mitigating risks. The authors argue for proactive measures to ensure that AI benefits everyone and addresses potential disruptions to jobs and society.

• OpenAI is calling for explicit industrial policy to manage the transition to superintelligent AI rather than leaving it to market forces alone
• The company frames democratic governance and broad access as necessary to prevent AI benefits and power from concentrating among a small few
• Past technological transitions show that translating growth into widespread prosperity required deliberate political action, not automatic diffusion, and superintelligence will require similarly ambitious intervention
• The proposal centers on building new institutions and safeguards to keep advanced AI systems controllable and aligned while rethinking the social contract around jobs and economic participation