The marketing industry has reached a point of near-total saturation with generative AI, but the people seeing the resulting ads are pushing back. While almost every professional in the field has integrated these tools into their daily workflow, a significant majority of consumers still crave the human touch in the content they consume.
This disconnect is the central theme of the State of Marketing and AI Report 2026 from Canva, which reveals a stark tension between corporate enthusiasm and public skepticism. The data suggests that the primary challenge for the industry is no longer a matter of technical production, but of social permission.
According to the report, which surveyed 1,415 marketing leaders at large organizations and 3,547 consumers across seven countries, 97% of marketing leaders now use AI in their daily creative work. This adoption is paired with an aggressive financial commitment, as 99% of those leaders plan to increase their AI spending this year. However, this momentum is colliding with a consumer base that remains unconvinced: 78% of consumers state they would rather see advertisements made by people, even if an AI could theoretically produce a “better” version.
For those of us who have moved from the engineering side of software to reporting on it, this looks less like a technology gap and more like a trust gap. The industry has scaled its capabilities far faster than it has scaled its transparency, leading to a marketplace where the tools are ubiquitous but the trust is fragile.
The rise of AI slop and the transparency deficit
The public’s unease has coalesced around a specific phenomenon known as AI slop—a term describing low-effort, visibly machine-generated content that lacks depth or genuine creative intent. Media monitoring data cited in the report shows that mentions of AI slop have increased ninefold, signaling a growing consumer literacy in spotting automated mediocrity.
This isn’t just a matter of aesthetics. Seven in ten consumers report that AI-generated ads feel as though they are missing something fundamental. This suggests that audiences are detecting the gap between content that is intentionally crafted and content that is simply generated based on a prompt. For marketing leaders, the problem is already tangible, with 41% admitting that maintaining quality against the tide of slop is a considerable challenge.
The report indicates that consumers are not necessarily anti-AI, but they are pro-transparency. When asked what would make them more comfortable with the use of AI in advertising, the responses were specific:
- 53% cited the need for stronger data protection.
- 52% demanded clear disclosure when AI is used.
- 39% wanted assurances that AI is not being used to replace human jobs.
- 37% expressed a desire to opt out of AI-generated adverts entirely.
The urgency for these disclosures is driven by a belief that the window for natural detection is closing. Roughly 70% of consumers believe it will eventually be impossible to tell if an ad was AI-generated without a label, and 56% expect that threshold to be reached within the next two to five years.
A management problem in engineering clothes
There is a paradox at the heart of this shift: the same technology creating the slop problem is the only way to solve it at scale. AI allows for a level of personalization, rapid testing, and iteration that no human team could ever match. The difference between a high-quality, personalized experience and a piece of digital slop isn’t the tool itself, but the standards applied to its output.
The report frames this as a management problem rather than a technical one. While 68% of marketing leaders say AI has already increased the number of marketing-influenced business decisions, the investment trajectory remains almost vertical. In the 2025 edition of the survey, 94% of marketers were investing in AI; that number has since climbed to 97% using it daily.
| Metric | Marketing Leaders | Consumers |
|---|---|---|
| Daily AI Usage/Preference | 97% Use Daily | 78% Prefer Human-Made |
| Investment/Quality Belief | 99% Increasing Spend | 87% Say Human Touch is Essential |
| Business Impact/Transparency | 68% More Data-Driven Decisions | 52% Demand AI Disclosure |
Infrastructure for the tiny business surge
The release of these findings coincides with a strategic expansion of the partnership between Canva and Anthropic. The two companies are integrating Canva’s design engine directly into Claude for Small Business, allowing entrepreneurs to generate on-brand marketing campaigns through a conversational AI assistant.
By connecting to a user’s Canva Brand Kit, the integration ensures that generated assets automatically adhere to specific fonts, colors, and visual identities. This effectively provides the infrastructure for AI-assisted creative work to the millions of small businesses that cannot afford dedicated marketing teams. The partnership has already shown significant traction, with usage growing fourfold in March 2026 following a January expansion.
This integration is now extending into a broader ecosystem of business tools, including HubSpot, Google Workspace, PayPal, QuickBooks, and DocuSign, further embedding AI into the operational fabric of small-scale commerce.
The emergence of the trust economy
What we are seeing is the birth of a new competitive variable: the trust economy. In the past, trust was a measure of the relationship between a brand and a consumer. Now, it is a measure of the relationship between an AI-assisted brand and a consumer who knows that assistance exists.
The preference for human-made content is not a rejection of efficiency, but a valuation of intention. Consumers want to know that a human being made a choice—that a creative decision was based on a specific goal or emotion rather than a mathematical optimization. For brands, the path forward involves treating AI disclosure not as a legal burden, but as a signal of integrity.
The marketers who will thrive are those who can use these tools deliberately while remaining honest about their use. Those who rely on the “black box” of automation to churn out content will likely find themselves contributing to the noise of AI slop, losing their audience to brands that prioritize the human element.
The industry now awaits further regulatory guidance on AI labeling and disclosure standards, which are expected to be a primary focus of upcoming consumer protection filings and international trade discussions throughout the remainder of the year.
Do you prefer knowing when an ad is AI-generated, or does it not matter as long as the content is good? Let us know in the comments or share this story on social media.
