EO 14319 risks undermining health equity by discouraging AI models from incorporating DEI frameworks critical to addressing disparities. Without explicit equity safeguards, “neutral” AI may reproduce systemic biases, worsening outcomes for marginalized populations—particularly Black, Latino, and LGBTQ+ communities already facing disproportionate barriers in healthcare. In cities like New York, where nearly 60% of people with HIV are people of color, stripping equity-focused design from AI threatens to deepen inequities rather than reduce them. Many healthcare institutions see DEI frameworks as essential, not as distortions. AI without DEI risks: 1) Reinforcing systemic inequalities; 2) Erasing marginalized communities from representation; 3) Producing “neutral” outputs that actually reproduce the dominant ideology (status quo bias).