Canva Marketing AI | Trust becomes the next creative challenge
Canva has released its latest State of Marketing & AI Report, showing that AI is now standard practice inside marketing teams but still faces a major trust challenge with consumers. Published through Canva's Newsroom, the study finds widespread adoption among marketing leaders while consumers continue asking for transparency, disclosure, data protection, and stronger human involvement in creative work.
Canva says AI is now standard in marketing, but trust is the harder problem
Canva's report shows how quickly AI has moved from experimentation to daily creative production. According to Canva, 97% of marketing leaders now use AI in their daily creative work, and 99% plan to increase AI investment in 2026.
For designers, marketers, and creative teams, the important shift is that AI is no longer a side tool. It is becoming part of campaign planning, content production, personalization, and creative execution. The problem is that speed alone does not guarantee stronger brand connection, originality, or audience trust.
What Canva's report says about AI adoption
The report was conducted with The Harris Poll and surveyed 1,415 marketing leaders at organizations with more than 500 employees, along with 3,547 consumers across the United States, United Kingdom, Australia, France, Germany, Japan, and India.
Canva says 41% of marketing leaders describe AI as functioning like a “director” on their team, while 39% say it works more like a “collaborator.” The report also notes that 68% say AI has increased marketing-influenced business decisions, showing that AI is moving beyond production speed into strategy and decision-making.
New trust challenges for AI-driven creative work
The report makes clear that consumers are not rejecting AI completely. Canva says 68% do not mind AI in advertising if it makes ads more helpful or relevant. At the same time, 70% say AI-generated ads often feel like something is missing, and 87% believe the best advertising still needs a human touch.
For creative teams, this means AI-generated content has to be judged by more than output volume. Consumers are responding to emotional quality, originality, relevance, disclosure, and perceived authenticity. If AI makes content faster but flatter, brands may gain efficiency while losing distinctiveness.
The report also highlights privacy and control as competitive issues. Canva says 80% of consumers wish they could control how personal ads get, while trust is tied to data protection, disclosure of AI use, assurances around jobs, and the ability to opt out of AI-driven ads.
What marketers and designers should watch next
Canva's conclusion is that the next step is not simply more AI, but better AI. Marketing teams still need clear creative standards, audience understanding, human judgment, and transparent policies if they want AI-assisted work to feel relevant rather than generic.
For designers and production teams, the practical takeaway is to pair AI speed with stronger review systems. AI can help generate concepts, scale variations, and accelerate content production, but final creative work still needs human direction, emotional intelligence, brand intuition, accessibility checks, privacy awareness, and quality control before it reaches customers.
Daisuki's Take: What This Means for Designers
We see this Canva report as important because it separates AI adoption from AI trust. Marketing teams may already be using AI every day, but that does not mean audiences automatically accept the results. For designers, the message is clear: faster content production only works if the final creative still feels relevant, human, and aligned with the brand's real voice.
The strongest lesson is that AI-generated marketing needs stronger review, not weaker review. Designers and creative teams can use AI to explore campaign ideas, produce variations, test messaging, and adapt assets across formats, but they still need to check whether the work feels original, emotionally clear, and useful for the audience. A polished ad can still fail if it feels generic or disconnected.
The limitation is that AI can scale content faster than teams can build trust. Disclosure, data privacy, brand consistency, accessibility, and human judgment become part of the creative process, not optional details. Used carefully, AI can support better campaign production, but the final value still depends on whether designers can turn speed into meaningful communication.
Sources and Recommended Links
- Canva study: AI is in. Now comes the hard part – earning consumer trust | Canva Newsroom (Official)
- Canva AI | Canva (Official)
- Canva Newsroom | Canva (Official)
