Content creation is expanding across personal, professional, and brand publishing. The figures below show the size of the creator economy, how creators use generative AI and mobile tools, what organizations prioritize, and where production still creates friction. Dates and geographies matter: the newest creator-tool findings are from Adobe’s 2025 Creators’ Toolkit Report, while global creator-economy estimates come from Adobe’s 2022 Future of Creativity Study.
Contents
- Creator economy size and makeup
- Generative AI adoption and attitudes
- How creators use tools and platforms
- Business, workflow, and measurement priorities
- The cost and confidence of production
- Social content formats and publishing volume
Creator economy size and makeup
Adobe’s Future of Creativity Study estimated 303 million creators globally in 2022. The study said the creator economy had grown by more than 165 million creators since 2020. Its figures describe a broad group contributing photography, videography, creative writing, and other forms of online work: 23% of people were creators by that definition.
The 2022 study also recorded substantial country-level additions. The United States added 34 million new creators, a 40% increase. Brazil added 73 million, South Korea added 11 million, and Spain added 10 million. These country figures belong to the 2022 study and should not be read as current population estimates.
The creator economy was not made up only of full-time influencers. Millennials represented 42% of the creator economy, while Gen Z represented 14%. Influencers represented 14% of the global creator economy. Seventeen percent of creators were business owners, and another 39% aspired to become business owners. At the same time, 60% had full-time jobs, illustrating how content creation and conventional employment often coexist.
| Creator-economy measure | Share or estimate | Measurement context |
|---|---|---|
| Creators globally | 303 million | Adobe, 2022 |
| Millennials in creator economy | 42% | Adobe, 2022 |
| Gen Z in creator economy | 14% | Adobe, 2022 |
| Influencers in creator economy | 14% | Adobe, 2022 |
| Creators with full-time jobs | 60% | Adobe, 2022 |
Motivation also extended beyond income. In Adobe’s 2022 findings, 48% of creators were motivated by freedom of expression, compared with 26% motivated by money. Sixty-nine percent said creating and sharing online content was a creative outlet they could not find elsewhere; among influencers, that figure was 84%.
Creators also connected publishing with public issues. Ninety-five percent said they took action to advance or support causes important to them. Food and housing security were prioritized by 62%, social justice by 59%, and climate change by 58%. Fifty-one percent said creators can drive awareness of causes, 49% said creators can give a voice to people who otherwise would not have one, and 47% said creators make it easier to voice opinions on social causes. These are reported attitudes from Adobe’s 2022 study, not measures of campaign outcomes.
Generative AI adoption and attitudes
Adobe’s 2025 Creators’ Toolkit Report found that 86% of creators actively used creative generative AI. Seventy-six percent said it helped grow their business or follower base, and 81% said it helped them create content they otherwise could not have made. Eighty-five percent believed creative generative AI had positively affected the creator economy.
Use cases covered several stages of a creative workflow. Fifty-five percent used generative AI for editing, upscaling, and enhancement. Fifty-two percent used it to generate new assets such as images and video, while 48% used it for ideation and brainstorming. Sixty percent had used more than one creative generative AI tool during the previous three months.
Adoption came with concerns. Sixty-nine percent were concerned that their content could be used to train AI without permission. Tool discovery was partly self-directed: 58% researched new creative generative AI tools personally. Social media trends introduced tools to 57%, and recommendations from other creators introduced them to 41%.
Cost and reliability were notable barriers to adopting a new AI tool. Thirty-eight percent cited high cost, 34% cited unreliable output quality, and 28% cited uncertainty about how the AI model was trained. The results point to a creator workflow balancing experimentation with concerns about ownership, predictability, and affordability.
Interest in the next generation of AI was also substantial. Seventy percent of creators were optimistic or excited about agentic AI, and 85% would consider using AI that learns their creative style. The most common desired applications included automating repetitive tasks, selected by 51%; brainstorming content ideas, selected by 50%; and surfacing content-performance insights, selected by 44%.
How creators use tools and platforms
Content production is increasingly mobile. Adobe’s 2025 report found that 72% of creators frequently created content on mobile at the time of measurement. Seventy-five percent expected to produce more content on mobile over the following year. This does not establish a universal mobile-first workflow, but it does show that mobile production was already common and expected to expand among the surveyed creators.
Platform activity is distributed rather than singular. Deloitte’s Creator Economy in 3D reported that creators used, on average, at least two platforms to manage their content. In the same research, 52% of micro-creators strongly agreed that their primary platform helped grow their business, compared with 29% of creators with more than 100,000 followers.
The perceived ability to earn also differed by creator size. Forty-eight percent of micro-creators strongly agreed that their platform provided fair opportunities to profit. Among creators above 100,000 followers, the corresponding figure was 40%.
| Platform perception | Micro-creators | Creators above 100,000 followers |
|---|---|---|
| Primary platform helps grow the business | 52% | 29% |
| Platform provides fair opportunities to profit | 48% | 40% |
The difference in these responses is descriptive rather than causal. The figures do not show why perceptions vary, nor do they say that using more platforms produces stronger business growth. They do show that audience scale and platform experience can be associated with different views of business support and monetization.
Business, workflow, and measurement priorities
Adobe’s Digital Trends 2024 research examined organizational content operations. Among senior executives, 41% saw content creation and management as the top generative-AI use case. Market leaders were more likely than market followers to report strong measurement: 72% of market leaders said their organization was highly effective at measuring customer-experience impact and return on investment, compared with 43% of market followers.
Organizations also described specific plans for 2024. Fifty-two percent planned to make better use of analytics and insights for content performance, while 46% planned to customize content for different customer segments. Thirty-eight percent planned to consolidate or integrate content and marketing tools, and 31% planned to increase the pace and volume of production.
Generative AI use cases extended beyond drafting. Seventy percent of market leaders expected to use it for idea creation and concepting. Forty-five percent planned to streamline creative workflows and asset production with generative AI. Sixty-one percent anticipated using it for metadata enhancement, including tagging assets and optimizing SEO. Forty percent identified campaign-performance optimization through testing and analysis as a key use case.
Execution remained difficult. In Adobe’s 2024 research, 57% of practitioners identified quality and customer trust as a significant challenge when managing AI-generated content. Fifty-four percent cited workflow issues, and 50% cited team readiness or skills. The same quality-and-trust challenge was reported by 57% of organizations. These findings describe reported organizational challenges, not a universal failure rate for AI-generated content.
The cost and confidence of production
The Adobe Express DIY Branding Report found different annual spending levels among entrepreneurs and content creators. Entrepreneurs spent an average of $249 per year on design tools, while content creators spent $202. Twenty-one percent of entrepreneurs said they spent more than $1,000 annually on design tools, and 13% of entrepreneurs who outsourced spent more than $5,000 per year on design help.
AI tools were already part of visual production for many respondents. Seventy-one percent said they used AI tools to help create visuals, brand assets, or posts. Forty-eight percent of AI-tool users felt confident in their visuals, compared with 42% of non-users. This is a confidence comparison, not evidence that AI use caused the difference.
Outsourcing preferences varied by task. If budget were no barrier, 28% would outsource web design, 19% would outsource video content such as Reels, and 15% would outsource social-media templates. Thirteen percent would outsource logo or brand-identity design, while 7% would outsource product photography.
There were also signs of pressure around originality: 24% said they had copied or heavily borrowed from another brand’s style. The figure does not specify the severity, duration, or commercial effect of that borrowing, so it is best treated as a reported behavior rather than a measure of infringement.
Social content formats and publishing volume
Content format influences engagement. Sprout Social’s Social Media Content Creation Across Networks found that 66% of social users considered edutainment the most engaging type of brand content. The category combines educational and entertaining value, which is especially relevant to storytelling across media because it places information and audience experience in the same format.
Production standards also mattered to respondents. Ninety-one percent of social users said production value and budget affected their engagement. This does not mean higher spending guarantees engagement; it indicates that users perceived production resources as relevant to how they interact with branded social content.
Publishing frequency was high. Sprout Social’s Social Media Saturation reported an average of 9.5 posts per day published by brands across networks in 2024. Hootsuite’s Social Media Trends 2025 reported that 60% of social content aimed to entertain, educate, or inform, while direct promotions represented nearly half of organizations’ content. The two measures use different research programs and should not be combined into one publishing model.
Large-scale engagement analysis offers another view of the evidence base. Buffer’s State of Social Media Engagement 2026 analyzed more than 52 million social posts from more than 200,000 Buffer accounts. Those totals describe the scale of that analysis, not the total number of social posts or accounts worldwide.
Taken together, these statistics show a content environment shaped by scale, experimentation, and distribution. Creators are numerous and often combine content work with other employment; generative AI is widely used but scrutinized; mobile and multi-platform workflows are normal; and organizations are trying to connect production volume with trust, analytics, and measurable customer impact.