A new report from creator platform Fanvue argues that artificial intelligence is reshaping how creators generate income, and that most are using it to solve the wrong problem.
The report, titled “AI Monetization: How Creators Will Earn in 2026 and Beyond,” draws on platform data, third-party research, and industry interviews to contend that AI-powered fan engagement now represents a more significant income driver than AI-assisted content production.
A Growing Market, a Stagnant Income Floor
The Creator Economy is expanding at roughly 23% annually and is projected to exceed $1 trillion by 2033, according to estimates cited in the report. Brand investment in creator partnerships has more than doubled since 2021, with creator ad spending growing at approximately 26% per year.
Despite that growth, a survey of more than 3,000 creators cited in the report found that over half still earn less than $15,000 annually. The report also notes that 52% of creators have experienced burnout.
Fanvue co-founder and co-CEO William Monange frames the disconnect as a structural problem with how creators have pursued income. “What’s broken is the assumption that output equals income,” Monange said. “The Creator Economy used to be built on volume: post more, stay visible, feed the algorithm. But what fans really want is deeper connections with their favorite creators, not just to see more impersonal content from them.”
Photo: Joel Morris, William Monange, and Harry Fitzgerald
AI Adoption Is High, but Narrowly Applied
The report cites Epidemic Sound’s “Future of the Creator Economy Report” finding that 91% of creators have integrated AI into their content creation process. An Adobe survey of 16,000 creators cited in the report shows 48% use AI for ideation and brainstorming, 52% use it for generating assets such as images or video, and 55% use it for editing and enhancing content.
The report characterizes this category of use as “incremental AI” and argues it addresses production efficiency rather than revenue generation. Research cited in the report shows that while frequent posting increases engagement initially, engagement eventually declines after reaching a peak, and increased posting only produces more ad or affiliate revenue when platform algorithms reward activity.
Fanvue co-founder and co-CEO Joel Morris noted the limits of that model from experience. “Coming from YouTube, I lived the old model first-hand. You’re told the answer is always more content. For a while, it works, but then the algorithm shifts, and suddenly your income is tied to an unsustainable pace.”
Direct-to-Fan Revenue and the Engagement Ceiling
Research cited in the report shows that over half of the Creator Economy’s value comes from direct-to-fan sources, including memberships, livestreams, and ticketed content. The report states creators earn 40 times more on fan platforms than on TikTok.
That model depends on sustained personal interaction, which the report identifies as a capacity problem. Jonny Steel, CMO at Linguana, is quoted in the report: “Even in subscription and direct-fan models, the product isn’t just one-way content. It’s a conversation that requires access, continuity, and feeling seen. Responsiveness drives retention.”
The report argues this is where AI’s most notable monetization opportunity lies.
Engagement-Focused AI and Earnings Differentials
Fanvue reports that creators on its platform who use AI-assisted messaging earn 6.3 times more than those who do not. The report also states that 73% of creators who generate income through chats on a given day also use AI text generation tools on the same day. Among creators earning between $1,000 and $100,000 monthly, the majority use AI tools more than 100 times per month, compared to 18% of those earning less than $1,000.
Response time affects revenue directly, according to Mike Dee, CEO of Playstack. “I’ve seen an 18% drop in subscription revenue over a single billing cycle when response times exceed 48 hours,” Dee said. The report applies that figure to a creator earning $5,000 monthly from subscriptions, noting the implied annual cost exceeds $10,000.
The report also states that creators using AI-powered content on Fanvue monetize 20% more than those who do not, and that over 93% of Fanvue creators actively use at least one of the platform’s AI tools.
A Hybrid Model as the Emerging Standard
The report does not position full automation as the recommended path. It argues that pure automation erodes the relationships that drive subscription revenue, while purely manual engagement cannot scale past a certain audience size.
Dee describes the model the report advocates: “Creators will provide the voice, boundaries, and escalation points while AI maintains the presence of the creator across thousands of parallel fan relationships without betraying that trust.”
The report recommends that creators progress from manual to AI-assisted to AI-augmented engagement over time, and identifies transparency with audiences about AI use as a factor in building rather than undermining fan trust.
Image source: “AI Monetization: How Creators Will Earn in 2026 and Beyond”
Cecilia Carloni, Interview Manager at Influence Weekly and writer for NetInfluencer. Coming from beautiful Argentina, Ceci has spent years chatting with big names in the influencer world, making friends and learning insider info along the way. When she’s not deep in interviews or writing, she's enjoying life with her two daughters. Ceci’s stories give a peek behind the curtain of influencer life, sharing the real and interesting tales from her many conversations with movers and shakers in the space.
A new report from creator platform Fanvue argues that artificial intelligence is reshaping how creators generate income, and that most are using it to solve the wrong problem.
The report, titled “AI Monetization: How Creators Will Earn in 2026 and Beyond,” draws on platform data, third-party research, and industry interviews to contend that AI-powered fan engagement now represents a more significant income driver than AI-assisted content production.
A Growing Market, a Stagnant Income Floor
The Creator Economy is expanding at roughly 23% annually and is projected to exceed $1 trillion by 2033, according to estimates cited in the report. Brand investment in creator partnerships has more than doubled since 2021, with creator ad spending growing at approximately 26% per year.
Despite that growth, a survey of more than 3,000 creators cited in the report found that over half still earn less than $15,000 annually. The report also notes that 52% of creators have experienced burnout.
Fanvue co-founder and co-CEO William Monange frames the disconnect as a structural problem with how creators have pursued income. “What’s broken is the assumption that output equals income,” Monange said. “The Creator Economy used to be built on volume: post more, stay visible, feed the algorithm. But what fans really want is deeper connections with their favorite creators, not just to see more impersonal content from them.”
Photo: Joel Morris, William Monange, and Harry Fitzgerald
AI Adoption Is High, but Narrowly Applied
The report cites Epidemic Sound’s “Future of the Creator Economy Report” finding that 91% of creators have integrated AI into their content creation process. An Adobe survey of 16,000 creators cited in the report shows 48% use AI for ideation and brainstorming, 52% use it for generating assets such as images or video, and 55% use it for editing and enhancing content.
The report characterizes this category of use as “incremental AI” and argues it addresses production efficiency rather than revenue generation. Research cited in the report shows that while frequent posting increases engagement initially, engagement eventually declines after reaching a peak, and increased posting only produces more ad or affiliate revenue when platform algorithms reward activity.
Fanvue co-founder and co-CEO Joel Morris noted the limits of that model from experience. “Coming from YouTube, I lived the old model first-hand. You’re told the answer is always more content. For a while, it works, but then the algorithm shifts, and suddenly your income is tied to an unsustainable pace.”
Direct-to-Fan Revenue and the Engagement Ceiling
Research cited in the report shows that over half of the Creator Economy’s value comes from direct-to-fan sources, including memberships, livestreams, and ticketed content. The report states creators earn 40 times more on fan platforms than on TikTok.
That model depends on sustained personal interaction, which the report identifies as a capacity problem. Jonny Steel, CMO at Linguana, is quoted in the report: “Even in subscription and direct-fan models, the product isn’t just one-way content. It’s a conversation that requires access, continuity, and feeling seen. Responsiveness drives retention.”
The report argues this is where AI’s most notable monetization opportunity lies.
Engagement-Focused AI and Earnings Differentials
Fanvue reports that creators on its platform who use AI-assisted messaging earn 6.3 times more than those who do not. The report also states that 73% of creators who generate income through chats on a given day also use AI text generation tools on the same day. Among creators earning between $1,000 and $100,000 monthly, the majority use AI tools more than 100 times per month, compared to 18% of those earning less than $1,000.
Response time affects revenue directly, according to Mike Dee, CEO of Playstack. “I’ve seen an 18% drop in subscription revenue over a single billing cycle when response times exceed 48 hours,” Dee said. The report applies that figure to a creator earning $5,000 monthly from subscriptions, noting the implied annual cost exceeds $10,000.
The report also states that creators using AI-powered content on Fanvue monetize 20% more than those who do not, and that over 93% of Fanvue creators actively use at least one of the platform’s AI tools.
A Hybrid Model as the Emerging Standard
The report does not position full automation as the recommended path. It argues that pure automation erodes the relationships that drive subscription revenue, while purely manual engagement cannot scale past a certain audience size.
Dee describes the model the report advocates: “Creators will provide the voice, boundaries, and escalation points while AI maintains the presence of the creator across thousands of parallel fan relationships without betraying that trust.”
The report recommends that creators progress from manual to AI-assisted to AI-augmented engagement over time, and identifies transparency with audiences about AI use as a factor in building rather than undermining fan trust.
Image source: “AI Monetization: How Creators Will Earn in 2026 and Beyond”
The full report is available here
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