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Chronicles

The story behind the story

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AI startups are selling images of realistic computer-generated faces, letting clients like dating apps “increase diversity” in their ads without needing people

just input your desired ethnicity and emotion. Great story from @drewharwell https://www.washingtonpost.com/ ... https://twitter.com/...

Washington Post Drew Harwell

Context & Ripple Effects

This Washington Post report is an early marker in the commercialization of synthetic humans: rather than deepfakes of real people, startups are generating faces from scratch and selling them as ad inventory, with ethnicity and emotion selectable like product features. Months later, Synthesia was building corporate-friendly deepfake uses such as multilingual training videos, showing the same underlying capability being packaged for business buyers.

The related coverage also shows where the consent question lands: Hour One pays people to license their likenesses for AI characters, positioning paid human faces against fully generated ones. And as synthetic imagery spreads into mainstream marketing, detection startups are selling verification services of untested reliability — the trust layer arriving after the supply.

First-order effects

  • Dating apps and other advertiser clients can now cast 'diverse' campaigns on demand without booking models or photographers, cutting production cost and lead time to near zero.
  • Stock-photo agencies and modeling pipelines that supplied diverse ad imagery lose pricing power to generators that produce unlimited faces at marginal cost.

Second-order effects

  • Consent-based likeness businesses like Hour One become the counter-positioning play: if brands fear backlash over fabricated faces, paid, licensed humans are the defensible alternative.
  • Ad platforms and publishers face rising demand to verify whether campaign imagery depicts real people, feeding the market for detection services even as their accuracy claims go untested.

Third-order effects

  • The face economy splits into two tracks — compensated, consenting likenesses versus unattributable generated ones — and brand-safety pressure will decide which one advertising consolidates around.
  • 'Diversity' in marketing becomes decoupled from any actual hiring or representation, creating a gap between advertised identity and organizational reality that regulators and advocacy groups can target.

The trend: Marketing is shifting from photographed humans to selectable synthetic ones, with paid-consent likeness models and detection services racing to catch up to the supply.

Discussion

  • @drewharwell Drew Harwell on x
    New: Are your ads too white? Is your dating app overloaded with men? Tech start-ups offer a solution: AI-generated people. 10,000 fake faces (as seen below) start at $100 a month https://www.washingtonpost.com/ ... https://twitter.com/...
  • @mike_oaks Mike Oaks on x
    Well one more avenue we dont need people any more for so adverts, tv and movies can all be done by computers, what are we going to do with ourselves... #FUTURE_AND_PAST #technews https://twitter.com/...
  • @dgwbirch @dgwbirch on x
    This is a brilliant idea, what a great business I hate myself for thinking of this https://www.washingtonpost.com/ ... IS_A_PERSON, people, I'm telling you, IS_A_PERSON will be the most valuable credential of all. Why aren't banks in this business already?
  • @debdagit Deborah Dagit on x
    Manufactured AI diversity...really? https://www.washingtonpost.com/ ...
  • @pleasesaveour @pleasesaveour on x
    Dating apps are the new Craig's List! AI start-ups are selling images of computer-generated faces that look like the real thing, offering companies a chance to create imaginary models and “increase diversity” in their ads without needing human beings https://www.washingtonpost.co…
  • @tracyjan Tracy Jan on x
    Dating apps need women. Advertisers need diversity. AI companies offer a solution: Fake people. ⁦@drewharwell⁩ does it again, unearthing important WTF stories on his #AI beat! https://www.washingtonpost.com/ ...
  • @privacyproject @privacyproject on x
    “The fact that such software now has a business model could also fuel a greater erosion of trust across an Internet already under assault by disinformation campaigns, ‘deepfake’ videos and other deceptive techniques,” writes @drewharwell in @washingtonpost https://www.washingtonp…
  • @moonalice Roger McNamee on x
    Important story/thread by @drewharwell on the emerging market for fake people (as a “solution” for corps who have diversity problems they do not want to address legitimately). https://twitter.com/...
  • @cwarzel Charlie Warzel on x
    Because it's a new year and I'm constantly making mistakes...here's a good rebuttal to this tweet about how synthetic data could actually help systems become fairer https://twitter.com/... https://twitter.com/...
  • @cwarzel Charlie Warzel on x
    love how tech helps us find new, innovative ways to (literally) dehumanize people https://twitter.com/...
  • @truepicinc Truepic on x
    Excellent and Important reporting @drewharwell on the growth of AI-generated images for marketing & business purposes. This concerning phenomenon will no doubt be leveraged for further fraud & deception online and eroding what limited trust exists in digital images today. https:/…
  • @rachelman2 Rachel Manteuffel on x
    You can only be sure of ugly people. https://twitter.com/...
  • @benwolfson10 Ben Wolfson on x
    tech companies would rather fake diversity than actually find solutions to help fix the problem they created. cool. https://twitter.com/...
  • @alanzucconi Alan Zucconi on x
    Using AI/ML to artificially increase BAME/PoC representation might sound like a good idea. But in reality... 👏🏻IT👏🏼 IS👏🏽VERY👏 🏾PROBLEMATIC👏🏿 One of the risks is to further reduce work opportunities for BAME/PoC models. Representation is great. Respect is even better. https://twit…
  • @vakibs @vakibs on x
    Advertising is the greatest application domain for fakery. Because they know that it is all fake they are trying to sell anyways. https://twitter.com/...
  • @n0tjen Jenny on x
    this is so embarrassing and gross. tech industry continues doing the most to avoid interacting with and paying poc fairly... are we surprised though https://twitter.com/...
  • @jjvincent James Vincent on x
    stock photo companies are using AI to generate fake faces and provide “diverse models on-demand” — just input your desired ethnicity and emotion. Great story from @drewharwell https://www.washingtonpost.com/ ... https://twitter.com/...