Anti-AI fonts that scramble or obfuscate text aim to make web content harder for AI systems to read, but Yaros argues that they are ineffective and harmful. Fonts that alter the text itself create accessibility problems because screen readers and related tools parse the scrambled characters. An accessible alternative would require machine-readable metadata, which Yaros says raises the unresolved problem of distinguishing disabled users from AI systems and could lead to centralized identity verification, privacy risks, and lists of disabled people. Yaros says public demonstrations of anti-AI fonts and related techniques can help AI companies train multimodal models to bypass them, turning new designs into benchmarks for overcoming the protections. The post argues that any information visible to humans can ultimately be parsed by machines, while motion-graphics and video-based obfuscation methods are impractical for routine website use. Widespread obfuscation could require computationally expensive tools to read web content and encourage copy-protection systems, paywalls, censorship, and other access controls. Yaros contends that publicly available information will remain accessible to people and systems authorized to access it, and that the web should remain based on plaintext and open access to information.