Generative AI and the marketer
Note: When we refer to AI throughout this report, we’re referring to Generative AI.

THE ADOPTION OF AI AI is here to stay. McKinsey’s The state of AI in 2025 survey reveals that 88% of companies now use AI in at least one business function, with the greatest revenue benefits from AI in marketing and sales.
Despite AI’s recent rise in accessibility, reliance is already setting in. The majority of marketers reported using AI regularly, but could manage without it. Close behind are more than a third of marketers who say they “rely” or “depend” on AI.
So where is AI most pivotal? Writing. 79% of marketers report using AI for copywriting or written content—and they say writing, editing, and repurposing content is where AI adds the most value.
The data’s clear: Marketers are using AI for tasks that often require a specialist’s help—but it’s not the flashy, visual use cases that bring them the most relief. It’s getting to a decent piece of content, a useful idea, or a clear conclusion faster.
Needless to say, marketers are eager for what AI can help them with next. When asked how they feel about using AI, most marketers report optimism, excitement, or neither (they’re neutral). Only a small percentage (13%) report negative emotions, specifically skepticism or anxiety.
How marketers feel about using Al
Another signal of AI’s value: pride. Does saving time on repetitive work make marketers happy? Yes. But does AI make their work better?
For many, the answer is also yes. 40% of marketers say using AI increases pride in their work, and 31% say their pride levels are the same as if they didn’t use AI.

To marketers, AI isn’t controversial. It’s a source of relief in a frequently under-resourced profession. It increases access and makes the specialized, resource-heavy work of content creation more manageable.
But what’s next?
As AI models continue to improve—and fast—it’s likely marketer satisfaction with AI will also increase. The question is: Will their audience (the consumer) feel the same?
Key takeaways on the adoption of AI:
- AI is already universal. Build your workflows for AI-accelerated outputs.
- Get the most ROI from AI by optimizing your writing workflows.
- Tap into your team’s AI enthusiasm to support broader, smarter AI use.

AI AND TRUST It’s easy to assume from online discourse that brands should avoid using AI or risk alienating their customer. But there’s a crucial nuance: AI slop.
Consumers don’t like slop—low-quality, mass-produced digital content generated by AI. But our data doesn’t support the broader “AI harms brands” narrative.
Instead, it suggests that consumers don’t want to be misled by any marketing, including marketing made by AI. The majority want AI disclosure, but notably, only 21% of consumers say they’d trust a brand less because of AI.


Understanding AI’s effect on brand trust is complicated. Marketers’ excitement over AI makes it easy to forget to slow down and ground decision-making in the consumer’s point of view.
But the consumer’s mind is still being made up on whether AI is harmful or just the latest excuse for sloppy marketing.
Nearly half of marketers use AI, don’t disclose it, and don’t regret it. Luckily for marketers, the majority of consumers judge marketing based on quality—not AI’s presence in it.


Meanwhile, consumers crave transparency and quality.
So be thoughtful, not fearful, the next time you prompt. AI can be part of consumer-facing content without harming brand trust when you prioritize quality, consider context, and stay true to your brand.
For your brand (and your customer), that might mean avoiding AI, disclosing AI, or understanding when one or both is important.
But done right, AI can elevate your brand by helping you create more relevant experiences, ask better questions, and make your work feel more human.
As AI becomes more widespread and indistinguishable from human output, it becomes harder to imagine a future where AI use is something we want to avoid—or even can.
Even a year from now, will marketers choose to avoid AI? Will they feel the need to disclose? And how will the value we place on marketers themselves be affected?
Key takeaways on AI and trust:
- AI use affects brand trust far less than poor experiences. Use it to deliver more engaging interactions.
- Consumers trust quality and clear intent, so disclose AI usage when it counts, but let quality lead the experience.
- Even in the age of AI, quality content wins. Use it to raise your standard and deliver it more consistently.

AI AND JOB SECURITY AI is disrupting the workforce, and marketers feel threatened. One-third of marketers report losing their jobs to AI or knowing someone who has, while the majority feel some degree of worry over job security.
But marketers are also hopeful. They see a clear division of labor taking shape. AI automates the tedious, while human minds bring the creativity, context, and critical thinking required for stand-out marketing.

Marketers recognize their own potential and AI’s present limits. Yes, AI can produce valuable content, but it can’t consistently replicate human quality or creativity.
In other words, AI’s ability to turn input into output isn’t the same as years of marketing expertise, even as AI’s presence and our confidence in it grows.
Take copywriting. It’s the top AI use case. It makes sense marketers across the board believe copywriters are the most at risk of losing their jobs. But the copy experts themselves feel more secure: Only 40% of copywriters believe their role is at risk.
Despite AI’s ability to empower marketers, it’s not all-powerful yet. It still leaves gaps marketers have to fill with knowledge born from experience and expertise. Especially when it comes to writing.
Almost all marketers also report that they edit AI copy to make it sound more human. No matter how much value AI adds, marketers know the best copy is a little more distinct, and often, more imperfect.


It’s the gap between what AI creates and what humans define as good writing (and by extension, good marketing) that gives marketers optimism regarding their roles.
However, marketers’ optimism doesn’t mean never changing or improving to remain relevant. Nearly two-thirds of marketers say they’re looking to stay in the field and adapt by re-skilling, especially those in design and customer relationship management (CRM) roles.

AI is more than a tool now. It’s a workplace partner. And like any partner, AI can be a multiplying force for productivity and positivity.
But that also means it introduces new ways of working and process gaps marketers can’t lose sight of as they rush to take advantage of every new AI capability.
As long as marketers continue to adapt to AI, acknowledge its imperfections, and advocate for distinct, creative marketing, the future with AI looks bright.
Key takeaways on AI and job security:
- AI drives efficiency, but humans drive quality. Use AI to accelerate your work, but refine the results yourself.
- Re-skilling is on the rise as marketers who feel secure still want to keep pace with AI’s impact on their work.
- AI will keep getting better, but its strongest role remains the same: a partner, not a threat.

A final reflection on Generative AI and the marketer
CONCLUSIONWhether it’s job security or the quality of their work, marketers have plenty to weigh when it comes to AI. But the data is clear: They’re also leading its adoption.
Rather than feeling threatened by AI, marketers are using it to reshape how they work. It helps them move faster, explore more ideas, and start from stronger foundations.
We believe AI should give more people access to the tools and insights that once felt out of reach—and make every customer interaction more thoughtful and relevant.
That's the AI future we’re building at Typeform.
The source data: The making of the Get Real survey and bonus findings
APPENDIX Take a peek behind the curtain: who we surveyed, how we did it, and the intriguing stats that deserve a special shoutout here.
This report? It came from a Typeform survey designed to answer what marketers think about AI, how they use it, and how they talk about it.
Who we surveyed
Our respondents (a mix of marketers and consumers) covered a wide age mix, led by:
The remaining group included individuals 45 and up.
Together, they gave us a clear view of how AI’s reshaping both sides of the marketing experience.
How we collected the data
We used a mix of question types to capture the big-picture trends and the human nuance behind them:
- Multiple-choice questions
- Likert scale questions
- Open-ended questions
- Video questions
- Questions that collected audio and video responses
We used separate question paths for marketers and consumers so we could compare how each group uses and trusts AI.
More from marketers
Marketers had a lot to say about how AI shows up in their day-to-day work—what helps, what frustrates them, and what still feels uncertain.
These extra insights didn’t fit neatly into the main chapters, but they add helpful context about how marketing teams are using (and questioning) AI right now.
Saving time is still the number one reason marketers try AI.
Marketers believe ethical AI use is context dependent, not absolute.
AI policies are a work in progress.
The brand behind the report
WHY TYPEFORMBecause surveys that feel like conversations get better responses. They give you better insights.
Just look at the insights this Get Real report revealed. Typeform lets us get real—real answers, from real people, with real insights.
And we’re just getting started uncovering what’s next in marketing. Want to come along for the ride? Subscribe to Informed and get marketing trends, data deep-dives, and tips and tricks delivered straight to your inbox.







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