Born Accessible" or Just the Same Old Savior Complex?

The article: Native Speakers: Why AI's Most Powerful Users Are Blind (Linux Foundation, 22 June 2026) The authors: Phillip Lamb (CEO, Live Oak Digital) and Liad Yosef (co-creator of MCP Apps). The argument: It's an excellent one. LLMs are fundamentally language-native, so building agent-ready software through MCP and WebMCP is, in large part, the same engineering problem as building accessible software. Accessibility isn't a bolt-on; it's becoming part of the architecture. Then comes the anecdote. To illustrate AI's "omissions", the authors describe a blind developer who built an accessibility tool entirely through AI-assisted coding. During a demo, a sighted colleague points out that the bottom half of the letters are cut off on the screen. The AI never mentioned it. That's a perfectly valid example of an AI omission. But notice how the story is framed. The achievement isn't that a blind engineer independently built software using an agentic workflow. That's merely the setup. The memorable moment is that a sighted colleague spotted the visual bug. Every developer ships bugs. Every developer benefits from testing by people with different perspectives. If a sighted developer misses keyboard accessibility, we don't tell the story as "a blind colleague rescued them from reality." The bug wasn't the story. The blind engineer building the software was.