Ken Liu on AI, Collective Dreams, and the Myths of the Future

Ken Liu's near-future thriller sees AI as an amplifier woven into daily life. A hacker tracks a dream guide through shared visions as fiction turns myth and rules meet ethics.

Categorized in: AI News Writers
Published on: Oct 13, 2025
Ken Liu on AI, Collective Dreams, and the Myths of the Future

Ken Liu on AI, reality, and how writers can build the next near-future myth

Asking AI a quick question mid-conversation has become normal. That's the baseline of Ken Liu's new near-future thriller, "All That We See Or Seem" - a world just a step ahead of ours, where AI is slightly more embedded into everyday life.

The story follows Julia Z, a renowned hacker pulled into a missing-person case. The missing wife, Elli, is an oneirofex - a dream artist who guides audiences into a shared dream using AI to read the crowd's mood. It's a fresh creative job that treats dreams as a social medium and a stage.

AI isn't savior or doom - it's an amplifier

Liu's stance is clear: AI doesn't make life universally better or worse. It amplifies what's already there - our strengths and flaws - in specific, human ways. That framing is gold for fiction.

  • Write AI into mundane moments, not just plot pivots. A character chatting with an AI companion to kill time says more about culture than a dramatic lab scene.
  • Show trade-offs. Let AI make someone sharper in one scene and more detached in the next.
  • Keep the tone neutral. Readers will judge the outcomes; your job is to make them plausible.

Dreams as creative tech

Liu treats dreams as a serious mode of knowledge. The oneirofex isn't a gimmick - it's a practical answer to a real question: how does human art stay relevant in an AI-saturated world? Answer: by inventing new forms, new venues, new roles.

  • Design speculative jobs that could exist tomorrow. Define the skill, the tool, the audience, and the business model.
  • Make the UX tangible: consent flows, safety rails, mood detection, ticketing, venue rules, and post-dream aftercare.
  • Explore ethics: what responsibilities does a "dream guide" owe to a crowd?

Don't predict the future - mythologize it

Liu argues sci-fi's job isn't prediction. It's myth-making. Mary Shelley's creature endures not because the lab process was accurate, but because the figure became a shared symbol we use to think through new tech. Today's parallel: a model that learns by ingesting our literature, then mirrors our patterns.

  • Name the core anxiety or desire behind your tech (control, imitation, intimacy, dependency, status).
  • Create a figure or practice readers can invoke later: the oneirofex, the ghost feed, the digital familiar.
  • Tie it to a ritual: nightly sessions, licenses, vows, or penalties that give the idea weight.
  • Stress-test it with timeless questions: What does this cost the self? What does it outsource? Who pays the hidden bill?

Read Frankenstein (Project Gutenberg) for a masterclass in tech-as-myth.

Code, law, story: different symbols, same craft

Liu moved from programming to law to fiction. The through-line: arranging symbols under a rule system to produce outcomes. That's a practical lens for writers.

  • Treat your story's "system" like an API: inputs (actions, prompts), constraints (rules, costs), outputs (consequences).
  • Write the rules of your world plainly. Then let characters try to bend them.
  • Use form as leverage: contracts, prompts, logs, and transcripts can reveal theme without lecturing.

Character over spectacle: fight monsters outside and inside

Julia Z's arc pairs external threats with internal conflict. She's driven by a hard sense of justice, but her past and shadow will press back. That dual pressure keeps high-tech plots grounded.

  • Mirror lines: external chase vs. internal guilt; public stance vs. private impulse.
  • Give your lead a code that costs them something on every page.
  • Let past decisions return with interest. Tech is the stage; the psyche is the plot.

Practical prompts to build your near-future

  • Where does AI appear in a quiet scene? Commuting, flirting, grieving, procrastinating.
  • What human job appears because AI exists (not despite it)? Who works it, who regulates it, who resents it?
  • What's the mythic figure readers will reference after your book? Name it. Give it rules.
  • What's the dream your culture still believes in? How does your story test it?

Skill up your AI literacy (for writers)

Why this matters

AI will keep folding into daily life. Your edge as a writer is to show the small truths: how people speak, stall, connect, and dream with it nearby. Build the myth that helps readers think - then let them decide what they want to live with.


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