Artificial intelligence is transforming how cities plan and build infrastructure. Researchers at Notre Dame created EcoSphere, an AI tool that helps cities fight carbon emissions. It uses machine learning to analyze building data from satellites and Google Street View, creating easy-to-read maps for city planners. The tool was tested in Chicago and Indianapolis, showing how building renovations and construction choices affect a city's carbon footprint. Beyond planning, EcoSphere can be used in schools to teach about sustainability and in smart city systems for real-time decisions.

However, governments face hurdles using these new tools. The biggest challenge is integrating AI with old computer systems used by cities and agencies. Data often gets stuck in separate systems, making it hard for AI to analyze everything together. This slows down projects that could improve traffic, energy use, or emergency services. Fixing this requires better connections between new AI tools and existing infrastructure.

AI's growth is driving massive data center expansions with major power impacts. CoreWeave's new Texas data center will double the electricity demand of its host city. To manage this, the city is charging the company for extra power costs and building new electrical lines. Google announced a $25 billion investment in data centers and AI infrastructure over two years, including $3 billion to upgrade Pennsylvania hydropower plants. Google also added $7 billion for Iowa cloud/AI facilities, showing the scale of resources needed for AI growth.

New laws are reshaping city funding options. The One Big Beautiful Bill (OBBBA) became law after passing Congress. It protects tax-exempt city bonds which help fund infrastructure projects. But it cuts key clean energy grants and tax credits, including programs for environmental justice and commercial clean vehicles. This removes funding sources cities relied on for green projects. The law could also reduce Medicaid funding, potentially forcing states to cut other programs that help cities.

Together, these developments show AI's potential to build greener cities through tools like EcoSphere, while revealing challenges like system integration and power demands. Policy changes add complexity by altering how cities fund infrastructure projects. As AI becomes central to urban planning, balancing innovation with practical needs like electricity and funding will shape future cities.