Why AI Isn’t Ready to Tackle Our Convoluted Genomes
Current AI models lack the data needed to fully interpret the human genome, which functions as a complex, dynamic system rather than a simple linear code. Researchers and AI tools alike are still working to understand how DNA actually operates inside cells.
Why this matters: Genomic AI is already being sold into healthcare, drug development, and personal testing. The gap between what these tools can do and what they claim matters in concrete ways. If the underlying biology is still poorly understood, then AI trained on that incomplete data will produce incomplete answers. That becomes a problem when those answers shape medical decisions. More data and better models are not a disclaimer. They are a prerequisite that the industry does not always make clear.
Who should care: General readers · AI governance · Policy
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