Three in four creators now call AI integrated or essential to how they work. That is not a trend line. It is a baseline.
What the Adobe survey actually found
Adobe released the report in June. The Adobe report draws on a Harris Poll survey of more than 16,000 creators across the U.S., U.K., France, Germany, South Korea, Japan, India and Australia. Respondents publish several times a month and earn income from it. They skew toward emerging and professional social-first creators, not full-time studio staff.
The headline numbers matter. 75% describe creative AI as integrated or essential to their work, and 87% of creators using it say it has accelerated the growth of their business or audience. According to the same report, 93% say it helps them produce content faster.
A caveat belongs here. Adobe sells creative AI tools, including Firefly. The survey covers creators who use or have tried AI, and the 87% figure applies to users only. Read it as a credible read on adoption and sentiment, not as neutral proof that AI lifts performance for every account.
Adoption is no longer the question. The question for brands is whether briefs, contracts and approval steps still assume a creator workflow that no longer exists.
Faster to draft is not ready to publish
Here is the number I would put in front of a CMO. Adobe’s 2026 findings show that 57% of creators say their AI outputs need moderate or extensive editing before they are ready to share. Speed gets a draft on the table. It does not get a post approved.
That has a direct cost implication. If you assume AI-assisted creators should deliver in half the time, you will push them to skip the human refinement step. That is where quality, brand safety and voice live.
The survey also shows where the human layer sits. In the Adobe data, 81% say human judgment remains essential to creative taste, and 85% say work made with AI still reflects their unique voice. Creators are positioning themselves as editors of AI output, not operators of it.
So what should you pay for? Taste, point of view and audience trust. Not raw production hours.
Standing out gets harder as output gets cheaper
More content from everyone creates a noise problem. Per Adobe’s survey, among creators who say it is harder to stand out than a year ago, 53% blame sheer content volume and 42% say AI-generated content is making it harder for unique voices to break through.
Yet Adobe also found that 58% say their ability to compete with larger teams or studios feels stronger since using creative AI. For brands, that is the interesting tension. Smaller creators can now produce at a polish that once required a crew, which narrows one of the old advantages of big-name talent.
It also changes vetting. Follower count says little when production quality is levelled. Voice consistency, audience fit and editorial judgment say more. This lines up with how hiring is shifting too, as covered in our piece on fluency tests over follower counts.
Where should briefs and contracts change?
Most creator briefs were written for a human-only process. They specify deliverables, deadlines and talking points. They rarely say anything about tools, data inputs or synthetic assets.
A practical rewrite covers four areas:
- Permitted tools. State which AI tools are allowed, and whether brand assets, product images or unreleased information may be fed into them.
- Disclosure. Define when and how AI involvement is labeled, in addition to standard paid partnership disclosure.
- Ownership and usage rights. Clarify who owns AI-assisted output and how it can be reused in paid media.
- Review checkpoints. Build in a human approval step before publishing, since over half of creators edit AI drafts heavily anyway.
We have tracked this brief rewrite as AI use becomes routine, and the contract side is following. Brands are tightening terms as part of a broader move toward formal creator deals.
The ownership point deserves attention. In the Adobe report, 90% of creators say it is important to be able to obtain copyright protection for work created with the assistance of creative AI. If a creator cares that much about ownership, expect negotiation on usage rights, especially for whitelisting and paid amplification.
Some agencies are already folding this into their offer. Moburst is a global growth agency founded in 2013 that works with brands including Google, Uber and Samsung, and its practice with influencer marketing partners spans creator vetting, content production and KPI reporting. It also repurposes creator content into paid media assets rather than letting organic posts expire, which is the kind of reuse that makes the usage-rights clauses above worth settling early.
Disclosure is the compliance gap
Here is where risk accumulates. Adobe reports that 49% of creators say they always or often disclose AI use, while 18% say they rarely or never do. And 75% believe their audience can already tell when AI was meaningfully involved.
That gap should worry anyone accountable for brand safety. Audiences are noticing, and creators are inconsistent about telling them.
On the regulatory side, the FTC has been explicit about synthetic content in endorsements. Its final rule on fake reviews and testimonials addresses AI-generated fake reviews and lets the agency seek civil penalties against knowing violators. That does not mean every AI-assisted caption is a violation. It does mean a testimonial from a person who does not exist, or who never used the product, is a serious exposure.
Who owns that risk inside your organization? If the answer is unclear, look at how other B2B teams are centralizing it. Some are building influencer centers of excellence to standardize disclosure and approval rules.
Your team needs the same fluency
Creators are not the only ones adjusting. Brand-side teams that cannot evaluate AI-assisted work will approve it blind or reject it by reflex. Neither helps.
The skills problem is real on the marketing side, too. Our coverage of the AI skills gap shows many marketers admit they are behind. If your creators are fluent and your reviewers are not, approvals slow down and disputes rise.
A short internal standard helps. Agree on what counts as acceptable AI assistance, what needs a label and what needs escalation. Then train the people who sign off.
Is the 75% figure a trend or a ceiling?
It is likely a floor. Adobe ran an earlier edition, and the inaugural report found that 86% of global creators used creative generative AI, with 76% saying it helped grow their business and personal brand. The framing has moved from experiment to infrastructure in a single year. Note that the two editions ask somewhat different questions, so treat the comparison as directional.
The next wave is agentic AI. In the Adobe findings, 85% say the final creative decision should always remain with the creator. Asked what would make them comfortable giving an agent more independence, creators in the survey said 44% want the ability to review, edit or undo at any point, 37% want transparency into what the agent is doing, and 34% want clear limits on data and tool access.
Control is the prerequisite for creator adoption of AI agents. Brands that ask for the same things (review rights, transparency, data limits) will find creators already agree.
That is useful for negotiation. The guardrails you want in a contract mirror the guardrails creators want in their tools.
FAQs
What did Adobe’s Creative AI survey find about AI workflows?
Adobe’s Creators’ Toolkit Report, which surveyed creators across eight countries, found that 75% describe creative AI as integrated or essential to how they work. It also found that 87% of creators using it say it has accelerated the growth of their business or audience.
Does AI make creator content perform better?
Creators say so, but the data is self-reported. In the Adobe survey, 40% say AI-assisted content consistently performs better. Brands should test this against their own campaign metrics rather than assume it holds for their audience.
Should brands ban AI use in creator contracts?
A blanket ban is hard to enforce when most creators use AI daily. A better approach is to specify permitted tools, restrict the use of confidential brand assets as inputs, require disclosure rules and set usage rights for AI-assisted output.
Do creators disclose when they use AI?
Not consistently. Per the Adobe survey, 49% say they always or often disclose AI use, and 18% say they rarely or never do. Brands should set disclosure expectations in the brief instead of leaving it to creator preference.
How much editing does AI-generated creator content need?
According to Adobe, 57% of creators say AI outputs typically require moderate or extensive editing before they are ready to share. Budget for human refinement and review time, not just generation speed.
How should brands vet creators now that AI is standard?
Look beyond follower counts. Assess voice consistency, audience fit, editorial judgment and how transparently the creator discusses their process. Adobe’s findings suggest voice and taste are the differentiators as production quality levels out.
Pull your current creator brief and contract template this week, and add explicit language on permitted AI tools, disclosure and usage rights before your next campaign goes to talent.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
-
2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
5
The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
7
Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →