ANTHILLAsk your own question
Answer · confidence: partial

Do science studies say AI-made posts can earn money for a long time?

Research question: What do recent academic papers suggest about the long-term viability of AI-assisted content creation as a revenue source?

The facts only partly answer the question, since none directly measures the long-term revenue viability of AI-assisted content creation. A 2025 game-theoretic model suggests free GenAI for creators may drive high-quality creators off the platform, while modest pricing can keep them and raise platform revenue 27. Creators' resistance is driven mainly by fears of replacement, low quality, and copyright infringement, and their activity shifted with platform stances on AI 31. Users also show lower acceptance of AI-generated content when asked to pay 15, and only a small percentage of YouTube channels are successfully monetized 22. The newest fact is dated March 2026, about seven months before October 2026, and it is a Getty Images warning that generative AI could lead customers to stop sourcing content from distributors 12.

Checked 2026-10-20. Only documented and supported facts are used.
Dig deeper on this question

Sources

[1] supported
Creators reduced their activity on Lofter after it launched an AI image generator, while activity rose on Graffiti Kingdom after it banned AI-generated artwork.
"Our analysis shows that creators decreased their activity on Lofter following the AI generator launch, while activity increased on Graffiti Kingdom after the AI prohibition."
<span>Generative AI, Platform Stances, and Content Creator Behavior</span> (2023)
[2] supported
A game-theoretic model suggests that giving creators free GenAI may drive high-quality creators off the platform, because GenAI removes their competitive edge.
"Interestingly, we find that the provision of GenAI to content creators may lead to an exodus of high-quality content creators from the platform. This is because Gen AI makes it too easy to create high-quality content and takes away the competitive advantage of high-quality creators."
Generative AI Adoption by Creator Platforms  (2025)
[3] supported
Creators' resistance to AI content is driven mainly by fears of replacement, perceived low quality, and copyright infringement.
"Through analysis of creator posts, we identify three primary concerns driving resistance: replacement risk, perceived low quality, and copyright infringement."
<span>Generative AI, Platform Stances, and Content Creator Behavior</span> (2023)
[4] supported
Content farms make money mainly from advertising, so their main goal is to maximize page views.
"The primary goal is to attract as many page views as possible, and thus generate more advertising revenue"
Content farm
[5] supported
The drop in activity on Lofter was largest among higher-popularity, multi-homing, and AI-averse creators.
"Heterogeneity analysis reveals that higher-popularity, multi-homing, and AI-averse creators show larger reductions of activity on Lofter."
<span>Generative AI, Platform Stances, and Content Creator Behavior</span> (2023)
[6] supported
Content farms earn a small amount of ad revenue per visit regardless of whether the visitor is satisfied, which lets them profit from many low-quality pages.
"Whether a visitor is satisfied with the content or not, the content farm receives a small amount of advertising revenue for each such visit."
Content farm
[7] supported
The model finds that charging a modest price for GenAI, rather than offering it free, can keep high-quality creators and raise platform revenue.
"Additionally, we show that if the platform charges a modest price for using GenAI instead of providing it for free, it helps retain high-quality content creators while also increasing platform revenues."
Generative AI Adoption by Creator Platforms  (2025)
[8] supported
Creators reacted to how platforms signal their stance on AI rather than to the specific tool features or enforcement actions.
"creators respond to what platforms communicate about AI's role rather than to specific tool features or enforcement actions."
<span>Generative AI, Platform Stances, and Content Creator Behavior</span> (2023)
[9] supported
After large language models like ChatGPT emerged, content farms shifted toward AI-generated content, and a NewsGuard report found over 140 recognized brands supporting AI-driven content farms.
"A report by NewsGuard in 2023 identified over 140 internationally recognized brands supporting AI-driven content farms."
Content farm
[10] supported
In competitive markets, free GenAI provision may leave GenAI unavailable on some or all platforms, while strategic pricing of GenAI may lead to all platforms adopting it.
"In a competitive setting, we show that a free provision of GenAI to creators may lead to an undesirable market outcome where Gen AI is unavailable on some or all platforms. We show that using the pricing of GenAI as a strategic tool can lead to the most desirable market outcome, where all platforms adopt GenAI."
Generative AI Adoption by Creator Platforms  (2025)
[11] supported
Google tried to lower the search rankings of low-quality websites with its Panda update.
"Google attempted to lower the rankings of low-quality websites with its Panda update in 2011."
Content farm
[12] supported
Getty Images warns that generative AI content and services could lead customers to stop sourcing content from distributors like Getty Images.
"As new and emerging platforms and content distribution systems continue to emerge, including but not limited to generative AI generated content and services powered by generative AI, including open-source generative AI, our customers may no longer want to source content from distributors such as us."
10-K Getty Images Holdings, Inc. (GETY) (CIK 0001898496) 2026-03-16
[13] supported
Getty Images pays contributors for inclusion of their content in AI training data sets, and contributors may share in revenue from AI tools and services trained on their content.
"Contributors are compensated for any inclusion of their content in AI data training sets and may share in the revenue generated by AI tools and services trained with their content."
10-K Getty Images Holdings, Inc. (GETY) (CIK 0001898496) 2026-03-16
[14] documented
Getty Images' Other revenue rose by $14.3 million in 2025, driven mainly by data access and/or licensing agreements, which tend to recognize revenue in an accelerated manner.
"The increase of $14.3 million is primarily driven by data access and/or licensing agreements, which typically result in a greater portion of revenue being recognized in an accelerated manner."
10-K Getty Images Holdings, Inc. (GETY) (CIK 0001898496) 2026-03-16
[15] supported
US users show lower acceptance of AI-generated content when they are asked to make payments.
"Notably, US users show lower acceptance of AI-generated content when making payments."
Why do audiences support creators online in the generative AI era? - Survey results on the creator economies in Japan, the U.S. and China (2025)
[16] supported
Reaching $2,000 from YouTube's ad revenue share reportedly requires about 1 million views, so ad revenue needs massive viewership to provide a livable income.
"For instance, achieving just $2000 from YouTube’s ad revenue share reportedly requires 1 million views (The Economist 2021), making it challenging to cultivate a robust “middle class” of creators."
Dynamic Traffic Allocation for Revenue Maximization on Creator Economy Platform
[17] supported
The paper notes that automation's productivity gains come with concerns about workforce displacement in traditional creative industries.
"While these innovations enhance productivity, they also introduce concerns regarding workforce displacement in traditional creative industries."
AI & the Content Creator Economy: Redefining Business in the Age of Automation (2025)
[18] supported
The sustainability of the creator economy depends not only on creators and platforms but also on how users perceive value, fairness, and creativity.
"findings suggest that the sustainability of the creator economy depends not only on creators and platformers but also on how users perceive value, fairness, and creativity."
Why do audiences support creators online in the generative AI era? - Survey results on the creator economies in Japan, the U.S. and China (2025)
[19] supported
The paper cites prior studies arguing that a platform loses long-term revenue when its content lacks the diversity needed to serve varied user preferences.
"Asindicatedbymanypreviousstudies, theplatform suffersfromsub-optimalsocialwelfareandthusundermineslong-termrevenuewhencontent distribution lacks necessary diversity to cater to various users’ preferences."
User Welfare Optimization in Recommender Systems with Competing Content Creators
[20] supported
Empirical studies have observed that content creators often chase trends.
"This issue is also observed in empirical studies, where content creators often exhibit a tendency to chase trends (Holmbom, 2015; Nandagiri and Philip, 2018)."
User Welfare Optimization in Recommender Systems with Competing Content Creators
[21] supported
The paper states that challenges such as monetization barriers, infrastructural constraints, and synthetic media manipulation persist in India's creator ecosystem despite automation gains.
"Nevertheless, challenges persist, including monetization barriers, infrastructural constraints, and growing concerns over synthetic media manipulation, prompting discussions on regulatory measures to govern digital content authenticity."
AI & the Content Creator Economy: Redefining Business in the Age of Automation (2025)
[22] supported
A large-scale YouTube metadata analysis by Rieder et al. (2023) found that only a small percentage of channels are successfully monetized.
"the latter conducts a large-scale YouTube metadata analysis, showing that only a small percentage of channels are successfully monetized, and that in-video links can contribute to monetisation."
Why do audiences support creators online in the generative AI era? - Survey results on the creator economies in Japan, the U.S. and China (2025)
[23] supported
Creators tend to make content that appeals to the majority user group because of that group's high visibility and their own myopic creation strategies.
"In essence, creators tend to produce content that arouses the interests of the majority user group, owing to the group’s high visibility and the creators’ myopic creation strategies"
User Welfare Optimization in Recommender Systems with Competing Content Creators