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Economy, business, innovation

USA

Personalized learning support across Italian and American school systems

In international schools, conversations about inclusion often reveal something deeper than differences in curriculum. They reveal different educational cultures. At La Scuola d’Italia Guglielmo Marconi in New York, where Italian and American educational systems coexist daily, this becomes especially visible when supporting students with learning differences and special educational needs. As Assistant Head of School

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Unpacking the implications of new SNAP rules as increased costs shift to states

Key takeaways Beginning Oct. 1, 2026, states are required to pay 75 percent of administrative costs for the Supplemental Nutrition Assistance Program, versus 50 percent when the One Big Beautiful Bill Act went into effect in 2025.Some states are already reacting to the heavier administrative burden imposed on them by reducing access to SNAP benefits

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Applying a debt-to-wealth lens internationally reveals subtle differences between countries’ fiscal capacities

Key Takeaways When policymakers consider their nations’ capacities to service growing government debt obligations, the debt-to-wealth ratio is a useful metric to consider alongside the more familiar ratio that measures debt to Gross Domestic Product.Differences in the debt-to-wealth ratios in the United States, France, Japan, and the United Kingdom highlight similarities and differences in wealth

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Trump’s trade war with Canada grows increasingly costly as Section 338 tariffs harm both economies

Key Takeaways President Donald Trump’s decision to ban some Canadian imports is a continuation of his administration’s novel and expansive interpretation of tariff powers under Section 338 of the Tariff Act and sets the stage for future escalation of the trade war.Tariffs and import bans risk price increases and shortages of key household items as

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What Work Does Generative AI Do?

This column originally appeared on the Federal Reserve Bank of St. Louis’s website at https://www.stlouisfed.org/on-the-economy/2026/sep/what-work-does-generative-ai-do Key Takeaways: Two new measures of AI adoption offer another way to study the technology’s effect on the U.S. labor market. They track what share of workers in an occupation actually use AI and what share of individuals who perform

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What Work Does Generative AI Do?

Authors:Alexander Bick, Federal Reserve Bank of St. LouisAdam Blandin, Vanderbilt UniversityDavid Deming, Harvard UniversityTyler Schumacher, Vanderbilt University Abstract: We measure how workers use genAI for their jobs in a nationally representative survey linking genAI adoption to detailed occupations and tasks. Our data provide the first task-level genAI adoption indexes, which we show can inform analyses

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What happens to U.S. workers without access to Unemployment Insurance amid economic downturns or disruptions related to AI?

Key Takeaways: The adoption of artificial intelligence in the workplace has led to predictions of U.S. labor market disruptions. In response, policymakers have increased attention on the fitness of the nation’s existing social insurance programs.Reforms to our social insurance programs are sorely needed. Millions of workers who may be affected by AI disruptions will be

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Economic research shows immigration is good for U.S. workers, the economy, and affordability

Key takeaways: Immigrants to the United States are essential to U.S. economic growth. Immigrants are integral to U.S. history and cultural identity. They support a vibrant U.S. economy as workers, consumers, taxpayers, inventors, and entrepreneurs.Immigrants fill both low-skilled jobs that complement native-born U.S. workers and high-skilled jobs where domestic supply falls short of demand, boosting

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What can federal data collection tell policymakers and researchers about artificial intelligence in the U.S. labor market?

Key takeaways Federal data on unemployment, wages, and the availability of jobs in the U.S. labor market exist but are fragmented, often not timely, and difficult to link across sources.The adoption of artificial intelligence by individual firms is challenging to measure, and existing federal surveys are often binary, asking simple yes or no or true

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