Source: Liberalism.org
by Eli Talbert
“Consider a hypothetical tenant in Phoenix, Arizona, asking an AI assistant whether allowing five-story mixed-use apartments near a light-rail stop would make housing cheaper before she writes to her city council member. The answer cites the City of Phoenix Planning and Development Department, notes displacement, and summarizes the mayor’s affordability set-aside. Nothing feels coercive. The tenant remains free to disagree. Yet a practical risk is already present. The AI has chosen which sources to retrieve, which follow-up questions to encourage, which frame feels neutral—and which serious alternatives will take extra effort to find. By the time she reaches the public meeting, the tenant may have concluded that the boundaries of the argument are settled.” (07/31/26)