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Chronicles

The story behind the story

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A look at AI companies gathering data from real people to create “digital twins”, to use as fashion models, focus group members, or clinical trial participants

AI that can predict how specific humans will look, act and feel could do the jobs of fashion models, focus group members and clinical trial participants

Wall Street Journal Isabelle Bousquette

Context & Ripple Effects

The story extends synthetic-person technology beyond generic computer-generated faces and increasingly expressive avatars: more human-like AI avatars had already raised concerns about what realism enables.

It also foreshadows a more functional use case for person-specific simulation. Later coverage of agentic twins used in polling and market research shows the concept moving from representation toward outsourced responses and decision support.

First-order effects

  • Companies developing these systems can turn consented data from individuals into reusable simulated participants for modeling, research and trial-related workflows.
  • Fashion, market-research and clinical-trial users gain a potential alternative or supplement to repeatedly recruiting, scheduling and compensating human participants.

Second-order effects

  • Providers will need to compete on how credibly a twin reflects the person it represents, not merely on producing realistic-looking output; buyers will scrutinize whether simulated responses are useful for the intended task.
  • The value of rights-managed personal data rises, while models, research participants and trial operators face pressure to define the terms under which a likeness or behavioral profile can be reused.

Third-order effects

  • If organizations increasingly treat individual data as a reusable simulation asset, human participation could shift from one-off labor toward licensing and ongoing control of a digital representation.
  • The central market question becomes whether synthetic participants complement real-world research or displace it in settings where fidelity, consent and accountability matter.

The trend: Digital-twin AI is moving from synthetic media toward commercialization of person-specific models for work traditionally performed by people.

Discussion

  • @hamishbrock Hamish Brocklebank on x
    Had a wonderful discussion with @IsabelleBiscuit at the @WSJ about the future of market research and what we're up to with digital twins (we call it our" shadow panel") https://www.wsj.com/...
  • @charleskfisher Charles Fisher on x
    Had a great conversation with @IsabelleBiscuit at the @WSJ on digital twins, AI, and clinical trials of the future. https://www.wsj.com/...
  • @danielcitron Daniel Citron on x
    We are also featured in a second article in @WSJ highlighting how we're building a platform where humans and AI have a new type of economy together https://www.wsj.com/...
  • @charleskfisher Charles Fisher on x
    We've been working on some entirely new neural network architectures for learning to create digital twins of patients over the past year ... [image]
  • @miramurati Mira Murati on x
    Good article on the work that @charleskfisher & his team at @UnlearnAI are doing, using deep learning to make clinical trials smarter — creating digital twins to predict how diseases progress, which speeds up the whole process and helps more people https://www.wsj.com/...
  • @brox_ai @brox_ai on x
    Brox is in the @WSJ today in article by @IsabelleBiscuit: “Brox AI's focus group tool gives companies the chance to get answers to questions without the expensive monthslong process of setting up a real focus group. Read the article here: https://www.wsj.com/...
  • @charleskfisher Charles Fisher on x
    Excited to finally share some details in this technical report: https://arxiv.org/...
  • @scribblevc @scribblevc on x
    “...in five to 10 years companies might even have digital twins for every single one of their customers.” @ScribbleVC company @brox_ai profiled by @WSJ on how AI will drastically expedite market research while decreasing costs. cc @HamishBrock https://www.wsj.com/...