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Trillions of dollars of AI investment may trigger an economy-wide crash with systemic consequences. This white paper describes how such a crash might unfold and proposes a menu of bold reforms Congress should consider after the crash, including curtailing financial engineering, converting stranded data centers into a public cloud, protecting workers, and restructuring AI markets through measures like a Glass-Steagall for AI and utility-style regulation.

Margaret Mullins analyzes the history of the civil service and offers a recommendation for improving federal hiring moving forward. The paper recommends decentralizing of personnel management authorities to give agencies the flexibility they need to better advance and achieve their specific missions.

While drug prices skyrocket and many Americans struggle to afford essential medications, Big Pharma gets richer and more powerful while actually delivering an ever more meagre research and development (R&D) pipeline. This paper proposes a transformational approach to the sector via a 鈥減ublic option鈥� in pharmaceutical R&D aimed at filling innovation gaps, providing competition in key market sectors and maximizing public return on public investment.

Countless AI startups depend on foundation models controlled by a few companies, like Anthropic, OpenAI, and Google. Asad Ramzanali and Akhil Rajan describe how these gatekeepers can pick winners and losers, provide a case study of that happening, and recommend a net neutrality-like requirement for fairness in the AI market.

Matthew McHale and Hannah Wiseman propose nine ideas for state and federal policymakers to protect households from increased costs of electricity and to ensure a reliable, resilient grid.

Mary Bridges offers an answer to America鈥檚 shipbuilding crisis: public shipyards. The paper examines how domestic commercial shipbuilding collapsed over the 20th century, why current proposals won鈥檛 work, and what type of investment America needs to make in our shipping infrastructure.

Complaints.gov: A National Infrastructure for Consumer Protection Americans file complaints with at least 176 different government agencies, each with its own forms, systems, and siloed data. Erie Meyer exposes how this fragmentation leaves people trapped in automated loops while regulators fly blind. She proposes Complaints.gov, a platform and infrastructure that routes complaints to the right agency, publishes redacted complaint data, and gives both small regulators and major companies modern tools to spot patterns and respond faster.

High-speed internet is still inaccessible to many residents and businesses. Asad Ramzanali and Benjamin Dinovelli describe how 鈥淒ig Once鈥� policies can significantly reduce the cost of future internet infrastructure investment, and recommend a mandate to install conduit to take advantage of this opportunity.

Cloud computing is a $600 billion market dominated by Amazon, Microsoft, and Google. It is the hidden infrastructure of the AI boom. Asad Ramzanali identifies major market failures and national security risks in the cloud sector and proposes a detailed blueprint for reform, including structural separation, neutrality, interoperability, and critical infrastructure designation.

Margaret Mullins examines the narratives surrounding today鈥檚 troubles in defense acquisition. The paper relooks the last 50 years of acquisition history to provide new recommendations for how the Defense Department should approach reform to avoid the mistakes of the past while investing in the skills and policies necessary to succeed in the future.

Ganesh Sitaraman and Karun Parek examine the emergence of government-led public AI programs in 9 different countries. The paper identifies four common approaches to public AI, explores how different countries pursue public AI, and considers the implications of these programs.

Ganesh Sitaraman and Christopher Serkin make the case for a post-neoliberal agenda for housing policy.

Ganesh Sitaraman and Christopher Serkin offer a series of proposals to address the affordable housing crisis.

Authors provide a Guide addressing the problem of food deserts, the benefits of public grocery stores, case studies from around the country, and practical considerations in implementing public grocery stores.

A close look at the AI tech stack reveals that critical layers are likely to be or already are monopolistic or oligopolistic. Tejas Narechania and Ganesh Sitaraman consider the stakes of this concentration of power and offer policymakers tools for regulation, including public options for AI. They argue that public options in the AI space, such as public cloud infrastructure and public data resources, would boost competition, expand access, and foster innovation.

Ganesh Sitaraman and Ramsay Eyre offer two proposals to build public capacity on AI: a new U.S. Artificial Intelligence Service, and a broader U.S. Technology Administration.聽