Most people hear “aphantasia” and think: no pictures in the mind. That’s true. But the more interesting story is what’s missing underneath the pictures.
The Strange Finding Nobody Talks About
In 2025, a paper in Current Biology reported something quietly disorienting: in people with aphantasia, imagery content could still be decoded from activity in the primary visual cortex, but those patterns were lateralised differently and could not be cross-decoded with ordinary perceptual representations.
In other words, some aphantasic brains may still carry internal representational structure. They just can’t render it consciously.
If you’re familiar with how large language models work, that distinction is structurally interesting. An LLM holds vast latent statistical associations (patterns and relationships across its weights) that only become visible when something triggers a generation pass. The structure is there. The interface isn’t. The parallel is functional, not mechanistic: LLMs don’t have a phenomenological “inner screen” to fail. But the architectural shape of the problem (latent content, inaccessible without an external rendering step) maps usefully onto what the aphantasia research is describing.
That’s the frame for everything that follows.
It Was Never Just About the Pictures
The popular version of aphantasia stops at imagery. You close your eyes, you see nothing, you feel like you’re missing something other people take for granted.
But recent research has been quietly relocating the problem. Two findings from 2025 are worth holding together.
First: people with aphantasia consistently report not just weaker visual imagery, but weaker autobiographical memory richness. This is a reduced ability to mentally relive events as full, first-person, embodied scenes. A 2025 study in Scientific Reports (Monzel et al.) found a strong link between imagery vividness and autobiographical memory (effect size r ≈ 0.52), with meaningful secondary links to emotional awareness and interoceptive self-perception.
Second: a 2025 review in Frontiers in Cognition (Eschen et al.) argued that what makes autobiographical memory vivid is not visual encoding alone. It is scene construction: the ability to rebuild a moment as a spatially and emotionally coherent experience. That’s why congenitally blind people can still have rich autobiographical memory through auditory and tactile scene imagery.
Put those together and the real question shifts. It’s not “why can’t they see a picture?” It’s “why is the full scene harder to reconstruct?”
What Aphantasic People Actually Do
A 2025 mixed-methods study of college students with aphantasia (Frontiers in Psychology) found four recurring compensatory strategies:
Externalisation: lists, notes, and structured systems that hold information outside the mind
Verbal anchoring: processing visually heavy content through language and description
Reference anchoring: connecting new information to already familiar concepts
Multimodal workarounds: using audio, spatial, or tactile channels when visual ones fail
That list is worth sitting with. It’s also the outline of an AI workflow.
Each of those four strategies is something a well-prompted language model can scaffold on demand, turning spoken recollections into structured timelines, rebuilding context from fragments, generating multiple external representations of the same idea, asking the next retrieval question that brings an experience back into focus.
Prosthetic Imagination Is the Shallow Use Case
The obvious pitch for aphantasia and generative AI is image generation. Type a prompt, get a picture, compensate for what the inner eye can’t produce.
That’s real. But it may be the least powerful application.
The deeper use case is external scene reconstruction: using AI not to manufacture imagery, but to help rebuild the cognitive architecture around a memory or idea. Voice notes turned into timelines. Diary fragments turned into spatially coherent narratives. Retrieval prompts that restore emotional and situational context step by step. Diagrams that make abstract structures visible so they can be worked with.
This is not AI replacing thought. It’s AI becoming a flexible external workspace for thought.
The Frame That Changes Everything
If the Current Biology finding holds (that latent representational structure exists in aphantasic brains even without conscious rendering) then generative AI starts to look like something more interesting than a prosthesis.
It becomes an external scaffold for cognition that is already structurally present but experientially out of reach. Not rendering in any literal neurological sense. Rather: giving structure an outside surface to appear on, when the internal one isn’t available.
Not manufacturing thought from nothing. Helping surface, from the outside in, what is already there but can’t quite be reached.
The missing picture was never the whole story. It was pointing at something deeper all along.
This post draws on findings from: Chang et al. (2025), “Imageless imagery in aphantasia revealed by early visual cortex decoding,” Current Biology; Monzel et al. (2025), “The role of subjective interoception in autobiographical deficits in aphantasia,” Scientific Reports; Eschen et al. (2025), “Missing images: autobiographical memory in aphantasia and blindness,” Frontiers in Cognition; and a 2025 mixed-methods study of compensatory strategies in college students with aphantasia, Frontiers in Psychology.
