How can place-based tax incentives better serve low-income communities?

April 17, 2025

Policymakers have understood for decades that reducing poverty requires economic development interventions that serve not only individuals or families, but also the communities they reside in. Low-income communities (LICs) are characterized not just by lower levels of income, but by local economies and built environments that are under-developed because of limited public investment and lack of access to private capital.

Tracy Hadden Loh, Lyneir Richardson, and Bethany Krupicka present key findings from a qualitative research project to investigate how the design of place-based programs to move capital to LICs can be improved.

Research and commentary on AI and technology

Persuasive AI systems. While AI continues to rapidly transform workplaces through enhanced efficiency and innovation, its impact across industries remains complex with broader risks to consider, like AI sycophancy. Malihe Alikhani explores how organizations and policymakers can navigate these challenges, fostering environments where AI drives progress without compromising trust, fairness, or creativity.

Re-centralization of blockchain platforms. As part of a series on AI and emerging tech from the Brookings Center on Regulation and Markets, Hanna Halaburda argues that blockchain’s promise of decentralization is being threatened by the emergence of dominant actors, risking monopolistic control and reduced competition.

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