Fovimarlo logo
AI Creative Production: Which Ad Visual Tasks Are Being Automated?
November 13, 2026

AI Creative Production: Which Ad Visual Tasks Are Being Automated?

In AI ad creative production, the tasks being automated today are swapping and cleaning up backgrounds, adapting visuals to different ad sizes, generating many variations of the same idea, improving image quality and drafting copy. The creative idea, brand fit, accurate representation of the product and the decision about which creative goes live are still human work. The most effective approach is to use AI to speed up repetitive production tasks while keeping strategy and final review with your team.

What has AI changed in ad creative?

Preparing ad visuals used to take a designer hours for every size, every variation and every small change. AI creative tools have cut a large share of these repetitive tasks down to minutes. The same is true for video: AI-powered tools are saving time in the editing, subtitling and adaptation stages of promotional video production as well.

But this shift doesn't mean ads now produce themselves. AI advertising tools multiply whatever you give them. A weak idea stays weak, even if AI turns it into a hundred variations.

Which tasks are being automated?

The table below summarizes how much each task in the ad creative production process can be accelerated with AI today:

Task

What AI contributes

The human role

Background removal and replacement

Largely automated

Checking that the result looks natural

Adapting to different sizes

Extending and reframing the image

Approving the correct placement of product and logo

Generating variations

Color, composition and background options

Deciding which variations go into testing

Improving image quality

Upscaling resolution, reducing noise

Checking that product details aren't distorted

Ad copy drafts

Headline and description suggestions

Adapting to brand voice, verifying accuracy

Concept and campaign idea

Inspiration and quick drafts

Building the strategy and choosing the idea

The visuals, rendered in shades of light blue, symbolize the power of artificial intelligence in the production of advertising visuals—specifically, its ability to prepare product photos, create different scene variations, and automate the design process. The robot, workflow, screen, and product shots illustrate how artificial intelligence speeds up and simplifies repetitive tasks in creative production.

Image editing and enhancement

AI image editing is where you see results fastest. Cleaning up a cluttered background in a product photo, balancing the lighting or using AI image quality enhancement tools to make an old shoot ad-ready can now be done in a few steps. The one thing to watch is that the product itself must not be altered: color, texture and shape should stay true to reality.

Resizing and variations

A single campaign can require dozens of creatives in square, vertical and horizontal formats with different copy and color options. AI ad creative generation tools quickly derive these variations from the master design. This lets you try more options in less time during performance testing.

Creating AI ad visuals with generative tools

Text-to-image tools have made it possible to create scenes or backgrounds from scratch. We previously published a detailed post on Adobe Firefly, one of the tools design teams use most. With tools like these, the answer to how to create images with AI is actually a simple loop:

  1. Clarify the brief: Write down which audience the visual is for, what message it carries and which channel it will appear on.
  2. Write a detailed prompt: Describe the scene, lighting, composition, color and mood.
  3. Generate multiple results: The first result is rarely the final one. Refine the prompt step by step.
  4. Place the real product: Generating the background with AI and having a designer combine it with a real photo of the product ensures the product looks accurate.
  5. Run it through brand review: Adjust the color palette, typography and logo usage to match your corporate identity.

When creating AI ad posters or social media creatives, it is usually safer to add on-image text in a design program; generative tools can render text incorrectly or illegibly.

AI on the video and audio side

AI ad video creation and AI ad voice-over tools are also evolving quickly. Tasks like short product animations, automatic subtitles and text-to-speech voice-over drafts can be sped up with these tools. Still, for a broadcast-quality commercial that carries your brand voice, real footage and professional voice-over deliver more reliable results in most cases.

Work that still requires people

The tasks AI can't speed up, or can't do well on its own, are the ones that determine an ad's success:

  • Strategy and insight: Identifying what the audience needs and why the brand is different Creative idea: Coming up with a memorable, brand-specific campaign idea Real footage: Authentic images of the product, team and location, especially in industries where trust is essential Brand consistency: Making sure hundreds of variations all look like they belong to the same brand Legal and ethical review: Assessing the risks around copyright, personality rights and misleading content

Short-form video is no different. Content is more convincing when real people and a real product are in front of the camera, and a solid short-form video shooting plan is still a fundamental need.

Ad rules for AI-generated visuals

AI-generated visuals are also subject to the general rules of advertising platforms. Meta's policies prohibit ads that promote products, services or offers through deceptive or misleading practices. This means AI visuals that show a feature the product doesn't actually have, or that exaggerate results, can be rejected. For details, review the Meta Advertising Standards page.

Meta also requires advertisers to disclose digitally created or altered photorealistic images, video or audio in ads about social issues, elections or politics. Even if your commercial ads don't fall into this category, adopting these principles reduces your risk:

  • Don't show the product's color, size or results differently from how they really are. Don't present AI characters that resemble real people as customer testimonials. Check the commercial use terms of the tool you use.

Meta ads and AI-powered testing

Meta ads use AI-powered tools to show creative variations to different audiences, helping you learn which creative performs better. This is where the real value of using AI for advertising shows up: being able to produce and test more variations. But reading the test results, learning from the winning creative and developing the next idea are still the team's job.

Adding AI to your workflow

When introducing AI tools to your team, don't try to change everything at once. Start with the repetitive task that takes the most time; for most teams, that is resizing or background cleanup. Pick a tool for that task, use it for a few weeks and measure the time saved.

  • Document which tools will be used for which tasks. Prepare a short checklist for brand colors, logo usage and prohibited visual elements. Make it a rule that every AI-assisted visual is approved by a person before it goes live.
The visuals, rendered in shades of light blue, symbolize the power of artificial intelligence in the production of advertising visuals—specifically, its ability to prepare product photos, create different scene variations, and automate the design process. The robot, workflow, screen, and product shots illustrate how artificial intelligence speeds up and simplifies repetitive tasks in creative production.

AI-powered creative production with Fovimarlo

Fovimarlo, a 360° digital agency based in Ankara, offers AI-powered creative optimization together with performance-driven creative testing as part of its creative production solutions. In this approach, AI is used for speed and variation, while strategy, real footage and brand consistency stay in the team's hands. To see where you can save time in your creative process, explore our AI-powered creative optimization approach.

Frequently Asked Questions

How do you make ads with AI?

Start by clarifying the brief and the campaign idea. Then use AI tools to speed up tasks like backgrounds, variations and resizing, refine the results to match your brand identity and test different versions on the ad platform.

How do you create images with AI?

You write a detailed prompt for a generative tool describing the scene, lighting, composition and mood. You generate multiple results, refine the prompt and finish the best result with brand elements in a design program.

Can AI-generated images be used in ads?

Yes, but you need to follow the ad platforms' rules on misleading content and the tool's commercial use terms. The most important rule is not to alter how the product really looks.

Will AI replace designers?

It speeds up repetitive production work, but strategy, creative ideas, brand consistency and final review remain human work. Teams that use AI well can test more ideas in the same amount of time.

To speed up your creative process with AI, talk to Fovimarlo.

Meet Chatbu, built by the Fovimarlo team

Chatbu is our AI-powered chatbot platform that automates customer communication on your website 24/7.

Explore Chatbu – AI chatbot platform