Despite AI-generated models flooding online marketplaces, consumers are overwhelmingly choosing to buy human-made creative assets instead.
CGTrader's marketplace data from June 2025 to May 2026 shows that even though one in six 3D models uploaded were AI-generated, they accounted for just $1 of every $90 in revenue and only 2.6% of sales; just 5% of customers found AI models worked well versus 20% who found them inadequate.
Research on AI coding tools reveals a similar pattern: although they sparked a 160% increase in new app launches by April 2026, consumer engagement with AI-made apps fell sharply, suggesting buyers value human expertise and quality over volume.
What happened
CGTrader, a 3D model marketplace with over two million assets for sale, found that despite one in six models uploaded being AI-generated, those assets earned just $1 out of every $90 in revenue and accounted for only 2.6% of sales. A marketplace report covering June 2025 to May 2026 showed only 5% of customers found AI models worked well, compared to 20% who found them inadequate.
Why it matters
The data reveals a widening gap between AI supply and consumer demand for creative work. CGTrader CEO Dalia Lasaite attributed the preference to quality: buyers shopping a marketplace seek "really high quality," and human-created 3D models simply deliver that at present. Separately, marketing professor Dennis Zhang's research on coding agents (Claude Code and Codex) found that while AI tools enabled a 160% increase in app launches by April 2026 compared to two years prior, apps with more than 10 reviews dropped significantly after AI releases—suggesting consumers engage less with AI-generated products even when they use AI tools.
What to watch
Zhang hypothesizes that consumers' preference reflects two separate forces: concern that AI-assisted products lack the experience and polish of fully human-crafted work (a labor quality issue), and a desire for human-added value and scarcity in creative goods (a consumer psychology issue). Both CGTrader's Lasaite and Zhang believe this points to AI transforming labor rather than displacing jobs, with humans retaining responsibility for the highest-value creative decisions.
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The marketplace data from CGTrader and recent research on AI-generated coding apps paint a consistent picture: supply of AI-generated creative work is growing rapidly, but consumer demand has not followed. CGTrader's one-in-six AI upload rate versus 2.6% revenue share suggests the platform is being flooded with AI content that buyers simply do not want to purchase. Marketing professor Dennis Zhang's work on coding agents reinforces this pattern—the 160% surge in new apps did not translate to proportional user engagement. In fact, apps with more than 10 reviews dropped significantly after AI tool releases, indicating that the influx of AI-assisted work may be crowding out higher-quality human alternatives.
Zhang's analysis suggests two overlapping explanations. First, AI-assisted products created by less experienced developers may lack the polish and user-interface thoughtfulness that seasoned programmers embed into fully human-crafted work—a quality gap rooted in labor and experience. Second, consumers may be actively seeking human-added value and scarcity, perceiving AI-generated goods as commodified and less worthy of purchase. Both dynamics imply that AI's role in the economy will be to augment and accelerate human work, not replace it wholesale. CGTrader CEO Lasaite echoed this view, noting that creators initially feared AI but gradually recognized it could handle routine tasks while they focused on higher-value creative decisions.
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