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AI flooding stock libraries and feeds

What for: understand how generation flooded stock libraries and image search with synthetics, and what that changes for your visuals.

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Getty и Shutterstock объявили слияние (~$3.7 млрд EV), оба развивают генеративные офферы (SEC, 2025) checked 2026-06-01

Updated: 02.07.2026

AI flooding stock libraries and feeds

What it is

The AI flood in stock is an avalanche of generated images across photo banks, image search and feeds. The line between "a real photo" and synthetics in stock libraries is disappearing.

Where it came from

  • Generation produced an endless stream of "perfect" pictures at almost no cost.
  • The photo banks themselves added generative offerings (Getty, Shutterstock, Adobe) — synthetics became part of the catalog.
  • Under AI pressure, Getty and Shutterstock announced a merger (~$3.7B EV), betting in part on generative products.

Why it matters

  • Volume: the image market is being flooded with content faster than demand grows.
  • The economics of stock photographers are under pressure — cheap synthetics undercut the prices.
  • Search quality drops: finding a genuine photo among the generations gets harder every month.

How to use it now

  • For your own visuals: generation saves budget on illustrations and backgrounds — just use it deliberately.
  • If you need authenticity (reporting, trust), pick the stock libraries' "commercially safe" models or shoot for real.
  • Differentiate: against a sea of slop, a recognizable personal visual style is worth more than ever.

What to watch out for

  • Licensing and "commercially safe": make sure the generator was trained legally and grants commercial rights.
  • The "average" AI image is recognizable and devalues the material — you need your own handwriting.
  • Content provenance and labeling are becoming a competitive advantage, not a formality.

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