Is Artificial Intelligence Going to Redefine Advertising?
Over the past two decades, the advertising industry has experienced several transformative waves, from the rise of the internet and social media to the expansion of digital advertising and the analysis of user data. Each of these changes has transformed the way brands communicate with their audiences. However, what is happening today with the emergence of Artificial Intelligence (AI) is fundamentally different from all previous transformations.
Artificial intelligence is no longer merely a tool for automating tasks or analyzing data. The new generation of Generative AI models can write text, create images, produce videos, compose music, and even play an effective role in developing marketing strategies. For this reason, many experts believe that the advertising industry has entered a new phase in which the boundaries between human creativity and machine processing power are closer than ever before.
But does this transformation mean the end of the human role in advertising? Or should it be seen as an opportunity to reinvent creativity?
How Has Artificial Intelligence Changed the Advertising Industry?
Successful advertising has always been built on three fundamental pillars:
- A deep understanding of the audience
- Creating a distinctive idea
- Delivering the right message at the right time and in the right context
In the past, accomplishing these three stages required considerable time, experience, and trial and error. Advertising teams spent hours analyzing the market, developing messages, and evaluating campaign feedback. Today, however, AI can perform a significant portion of this process with greater speed and accuracy.
For example, AI-powered tools can analyze millions of data points in a short period of time, identify behavioral patterns among audiences, and even predict which advertising message is more likely to attract attention or convert an audience member into a customer. These tools can also generate and simultaneously test multiple versions of an advertisement in order to identify the most effective option.
As a result, the time spent on many repetitive activities is reduced, giving marketing teams more time to focus on strategic decisions.
From Automation to Co-Creation: The New Role of AI
In the early years of using AI in marketing, the primary focus was on automating tasks such as scheduling content, sending promotional emails, or managing digital campaigns.
The new generation of AI tools, however, plays a different role. Rather than serving merely as an “executional assistant,” these tools have become thinking partners for creative teams.
Today, many advertising agencies use AI for tasks such as initial ideation, drafting advertising slogans, generating multiple versions of copy, developing visual concepts, and analyzing audience behavior. This collaboration allows creative teams to devote more time to developing innovative ideas and solving complex brand challenges.
In other words, AI is not meant to replace creativity; it can create more space for creativity to flourish.
Will Human Creativity Become Irrelevant in the Age of AI?
One of the most common concerns surrounding the rise of AI is that machines will replace designers, writers, art directors, and advertising strategists.
This concern is understandable to some extent, because AI tools can accomplish in minutes tasks that previously required hours or even days. But speed is not the same as creativity.
Creativity in advertising is not limited to producing text or images. A successful advertising idea must engage the audience emotionally, connect with the culture of its society, reflect the values of the brand, and remain memorable.
These qualities still depend on human judgment, experience, and understanding.
In reality, AI can generate countless suggestions, but choosing the idea that can genuinely influence an audience remains a human responsibility.
The Future of Advertising: Human–AI Collaboration
A few years ago, the central question was: “Will AI replace humans?”
Today, the more important question is: “How can humans and AI work together to create the best possible results?”
The future of advertising will probably belong neither entirely to machines nor exclusively to humans; it will depend on collaboration between the two.
In this collaboration, AI will be responsible for activities that require speed, the analysis of massive amounts of data, or the rapid generation of multiple versions. Humans, meanwhile, will focus on areas such as strategy, storytelling, cultural understanding, brand identity, and final decision-making.
This model will also change the role of advertising professionals. The value of a copywriter or art director will no longer lie solely in producing content. Instead, it will increasingly be defined by their ability to direct AI tools, evaluate their outputs, and transform them into unique ideas.
The Beginning of a Creative Renaissance
Perhaps the most important takeaway from today’s transformation is that AI does not mark the end of creativity; it may instead signal the beginning of a new era of it.
Just as the arrival of design software, digital cameras, or the internet did not eliminate designers or advertising, AI is unlikely to eliminate the human role. Instead, it will change the nature of that role.
In the years ahead, a brand’s competitive advantage will no longer come simply from having access to AI tools, because these tools will be available to many businesses. What will make the difference is the ability to intelligently combine technology with creativity, a deep understanding of the audience, and the creation of a human experience.
Brands that can establish this balance will not only create more effective campaigns, but also build deeper and more lasting relationships with their audiences.
Real-World Examples: How Are Major Brands Using AI in Advertising?
Until a few years ago, using AI in advertising seemed more like a futuristic idea. Today, however, many of the world’s major brands use AI not as an experimental technology, but as part of their processes for creativity, content production, personalization, and campaign analysis.
Interestingly, almost none of these brands have replaced their creative teams with AI. Instead, AI has become a tool for increasing speed, scale, and the quality of decision-making.
Here are some notable examples.
Coca-Cola: When AI Became a Canvas for Creativity
One of the best-known examples of AI use is Coca-Cola’s Create Real Magic campaign. Using language and image-generation models, the brand created a platform that allowed users to create artwork inspired by Coca-Cola’s visual identity. Selected works were even displayed on digital billboards and the brand’s official media channels.
Later, Coca-Cola also used AI in the production of some advertising videos, including new versions of its Christmas campaigns. Although these advertisements received mixed reactions because of their visual quality and emotional feel, they demonstrated one important point: AI can dramatically reduce content-production time and make it possible to create multiple versions for different markets, while still requiring human creative direction.
A Lesson for Brands
AI creates the greatest value when it allows audiences to participate in creating the brand experience, rather than simply replacing the content-production process.
Heinz: Demonstrating the Power of Brand Identity with AI
In 2022, Heinz conducted a simple but clever experiment. The brand asked the image-generation model DALL·E to generate images based on prompts such as “Ketchup.”
The result was surprising: most of the generated images, even without explicitly mentioning the brand name, bore a strong resemblance to the iconic Heinz bottle.
Heinz turned these outputs into a global campaign under the tagline “AI Ketchup,” demonstrating that even artificial intelligence tends to associate ketchup with Heinz’s distinctive visual identity. The campaign quickly went viral on social media and became one of the early successful examples of using generative AI in advertising.
A Lesson for Brands
When a brand’s visual identity is strong enough, even AI algorithms can reproduce it as a mental reference point.
Nike: Combining Data, Storytelling, and Technology
Nike has been using AI across different areas of its business for years, from demand forecasting and personalized shopping experiences to customer behavior analysis.
One of the best-known examples is the Never Done Evolving project. Using machine learning, Nike created a virtual version of Serena Williams at two different stages of her professional career and staged a match between “Serena 1999” and “Serena 2017.”
The campaign demonstrated that AI can go beyond generating images or text and become a tool for telling inspiring stories.
A Lesson for Brands
Technology becomes valuable when it serves a human story; audiences are more likely to connect with meaningful narratives than with technology itself.
Netflix: The AI You Don’t See
Netflix uses AI less for creating advertisements and more for personalizing the audience experience.
By analyzing user behavior, the platform changes the thumbnail, content recommendations, and even the order in which films and shows are displayed for each individual. In practice, every user experiences a different version of Netflix.
This personalization increases the likelihood of users clicking on and watching content.
A Lesson for Brands
Sometimes the most effective advertising is not the advertisement everyone sees, but the message designed specifically for one person.
Spotify: When Every User Feels the Campaign Was Made for Them
If you have seen Spotify Wrapped, you have probably noticed why millions of people share it on social media every year.
By analyzing millions of behavioral data points, Spotify generates a personalized report of each user’s listening habits—one that is entirely unique to that individual.
Although Wrapped is not simply an advertisement, it is an outstanding example of using AI and data analysis to create a personalized and highly shareable experience. This approach turns users themselves into a form of advertising media for the brand.
A Lesson for Brands
Personalization is not limited to using someone’s name in a message; it means making each individual feel that they have received an experience designed specifically for them.
Cadbury: The Advertisement That Knew the Name of Every Shopkeeper
One of the most creative examples of AI in advertising is the #NotJustACadburyAd campaign.
Using AI, Cadbury created personalized versions of video advertisements in which the names and information of local stores in different areas were automatically displayed.
As a result, each small business owner felt as though a dedicated advertisement had been created specifically for their store—something that would have been almost impossible or extremely expensive using traditional methods.
A Lesson for Brands
AI makes personalization at scale possible—a capability that can create a competitive advantage even for small businesses.
What Do All of These Campaigns Have in Common?
Despite differences in objectives and industries, all of these examples share one important characteristic:
AI did not replace the original idea; instead, it enhanced the execution of that idea, making it smarter, faster, and more scalable.
Coca-Cola used AI to create an experience, Heinz to reinforce brand identity, Nike to tell a story, Netflix to personalize the user experience, Spotify to turn data into an experience, and Cadbury to produce unique advertisements at scale.
The important point is that the success of these campaigns did not come from using AI alone. It came from having a creative idea and a clear strategy.
Technology simply helped them execute those ideas faster, more precisely, and on a larger scale.
How Can Iranian Brands Use AI in Advertising?
You might assume that using AI in advertising is only possible for major brands such as Coca-Cola, Nike, or Spotify—companies with multimillion-dollar budgets and access to the world’s most advanced technologies.
But the reality is different.
Today, many AI tools are available at little cost or even for free. The main competitive difference is no longer access to technology, but how it is used.
In fact, the competitive advantage of the future will belong to brands that can combine AI with human experience, market knowledge, and creativity.
Which Areas of Advertising Are Most Impacted by AI?
Contrary to common perception, AI is not only useful for generating text or images. The technology can improve almost every stage of an advertising campaign.
- Market Research and Audience Understanding
One of the most time-consuming stages of campaign development is analyzing the market and understanding customer behavior.
AI can:
- Analyze user comments on social media.
- Identify positive and negative audience sentiment toward a brand.
- Detect emerging market trends.
- Suggest an initial customer persona.
- Categorize frequently asked questions from users.
As a result, advertising teams can make decisions based on real data rather than relying primarily on assumptions.
- Campaign Ideation
One of the biggest misconceptions about AI is the idea that it creates ideas on its own.
In reality, one of its most valuable applications is expanding the ideation space.
For example, a creative team can ask AI to:
- Suggest 50 initial campaign ideas.
- Generate advertising slogans in different tones.
- Provide different scenarios for a commercial.
- Suggest new angles for telling a brand story.
Ultimately, selecting and developing the best idea remains a human responsibility.
- Content Production at Scale
Brands today need to produce content simultaneously for websites, Instagram, LinkedIn, Telegram, email, paid search, and out-of-home media.
AI can:
- Generate multiple versions of advertising copy.
- Suggest engaging headlines for articles.
- Write product descriptions.
- Generate social media captions.
- Prepare Google Ads copy.
- Provide initial ideas for videos.
This can significantly increase the speed of content production.
- Initial Image Design and Production
AI-powered image-generation tools can produce dozens of visual concepts within minutes.
This capability is particularly valuable during the early stages of design because creative teams can explore and compare different ideas before entering the final production stage.
Of course, final visuals for major brands are still typically refined and redesigned by professional designers and aligned with the brand’s visual identity.
- Advertising Personalization
One of the most important advantages of AI is its ability to produce different versions of an advertisement for different audience segments.
For example, an e-commerce store can:
- Show different messaging to new customers.
- Offer different incentives to loyal customers.
- Adapt advertising messages based on geographic location.
- Personalize product recommendations based on users’ previous behavior.
This level of personalization was extremely difficult and expensive to achieve using traditional methods.
Will AI Replace Advertising Agencies?
This is one of the most frequently asked questions among advertising professionals.
The short answer is:
No—but the role of agencies will change.
In the past, many clients expected agencies simply to design a poster, commercial, or campaign.
Today, expectations are different.
Brands are looking for partners who can:
- Analyze market behavior.
- Turn data into insights.
- Develop communication strategies.
- Optimize campaigns.
- Use technology to increase advertising effectiveness.
As a result, future agencies will shift their focus from being mere content producers to becoming strategic advisors for brands.
The Ethical Challenges of Using AI
Alongside all these opportunities, using AI also comes with challenges.
One of the most important concerns is intellectual property. Many AI models have been trained using enormous volumes of publicly available data, and in many countries, there are still no clear laws governing the rights associated with AI-generated works.
In addition, brands need to consider issues such as transparency, user privacy, algorithmic bias, and the spread of misinformation.
In the future, audience trust in brands will depend not only on product quality, but also on how responsibly they use technology. Responsible technology use will itself become part of brand identity.
The Skill That Will Matter Most
As AI becomes more widespread, many basic technical skills will gradually become less valuable because machines can perform them faster.
At the same time, skills such as:
- Strategic thinking
- Creativity
- Storytelling
- Understanding human behavior
- Customer experience design
- Problem-solving
- Decision-making
will become more important than ever.
In fact, the future of advertising will not belong to those who have the best AI tools. It will belong to those who can ask the best questions of these tools and transform their outputs into valuable ideas.
As a Result,
The shift of advertising from traditional media to the online world marked the digital wave. Now, AI is poised to drive the next stage of this transformation—making advertising not only smarter but also more personalized, faster, and driven by data. For Iranian brands, this transformation presents more of an opportunity than a threat. Businesses that start learning about and strategically implementing AI today are likely to gain a stronger and more sustainable competitive advantage in the years to come.
Where Do We Start? A Roadmap for Using AI in Advertising
If using AI in advertising was considered a competitive advantage just a few years ago, it is gradually becoming a necessity today.
Just as having a digital presence is no longer optional, the intelligent use of AI will soon become an integral part of marketing processes.
The good news is that getting started with AI doesn’t require enormous budgets or large technology teams. Many brands can take their initial steps by utilizing a few suitable tools and developing a clear strategy.
10 AI Tools Every Marketing Team Should Know
There are now hundreds of AI-powered tools available, but becoming familiar with a few key platforms can cover a large portion of a marketing team’s needs.
| Tool | Primary Use |
| ChatGPT | Ideation, content creation, scriptwriting, information analysis |
| Claude | Long-form writing, document analysis, and report generation |
| Gemini | Research, information analysis, and integration with Google services |
| Perplexity | Search and research with citations from reliable sources |
| Midjourney | Conceptual and advertising image generation |
| Adobe Firefly | Image generation and graphic editing while maintaining brand identity |
| Runway | AI-powered video creation and editing |
| ElevenLabs | Natural voice generation and dubbing |
| Canva AI | Rapid design of posts, banners, and presentations |
| Notion AI | Summarization, documentation, and team knowledge management |
Important: None of these tools can create a successful campaign on their own. Their true value emerges when they are combined with strategy, audience understanding, and human creativity.
AI in an Advertising Campaign: A Practical Checklist
Before launching any campaign, this checklist can help marketing teams use AI strategically.
Stage One: Understanding the Problem
- Is the campaign objective clearly defined?
- Who is the target audience?
- What data do we have about customer behavior?
Stage Two: Ideation
- Have we used AI to generate several creative directions?
- Have the ideas been evaluated by the creative team?
- Has the brand identity been preserved across all ideas?
Stage Three: Content Production
- Have multiple versions of the advertising copy been created?
- Have initial images or videos been reviewed?
- Are the outputs consistent with the brand’s visual identity?
Stage Four: Execution and Optimization
- Is campaign performance being continuously monitored?
- Is the data collected being used to improve subsequent versions?
- Is AI being used to analyze results and suggest optimization opportunities?
Five Common Mistakes Brands Make When Using AI
Using AI does not automatically guarantee success. Many brands fail to achieve the desired results because they misunderstand the technology.
- Using AI Without a Strategy
AI is a tool, not a strategy.
If the campaign objective is unclear, even the best tools will fail to produce meaningful results.
- Publishing the First AI Output Without Review
AI-generated text, images, or videos always require human review.
Tone, factual accuracy, brand identity, and even visual details should be evaluated before publication.
- Ignoring Brand Identity
If every brand uses the same tool with similar prompts, the outputs will gradually begin to look alike.
What differentiates a brand is its identity, tone of voice, story, and values—not simply the technology it uses.
- Relying Entirely on Automation
While AI can speed up processes, important decisions still need human judgment. Audiences connect emotionally with brands—not algorithms.
- Ignoring Legal and Ethical Considerations
Using images, voices, or user data without respecting intellectual property rights and privacy can damage a brand’s reputation.
Audience trust is an asset that takes a long time to build and can be lost through a single mistake.
The Future of Advertising: Humans Will Remain at the Center
In the years ahead, AI tools will likely become more powerful, faster, and more affordable. The production of realistic videos, the design of personalized campaigns, and real-time analysis of customer behavior will become increasingly commonplace.
But one element will remain unchanged: the human being.
Successful advertising has always been built around an understanding of human emotions, needs, desires, and behaviors. AI can analyze data, but it still cannot fully replace lived experience, empathy, intuition, and cultural understanding.
For this reason, the future of the advertising industry will belong to brands that can strike a balance between technological power and human creativity.
Conclusion
Artificial intelligence is no longer a technology of the future; it is already a part of the current reality in the advertising industry.
From data analysis and audience insights to ideation, content production, image design, video creation, and message personalization, AI can play a role in nearly every stage of a campaign. However, technology alone does not create a competitive advantage.
What will differentiate brands is their ability to use these tools intelligently, combined with strategic thinking, a deep understanding of their audience, and ideas that can engage human emotions.
For Iranian businesses, this transformation presents a valuable opportunity as well. AI tools are more accessible than ever and can help brands design and execute more effective campaigns with greater speed, precision, and lower costs.
Ultimately, the key question is no longer, “Should we use AI?” but rather: “How can we use it responsibly, creatively, and effectively?”
Final Takeaway
If we were to summarize the central message of this article in a single sentence, it would be:
AI does not replace creativity; it gives creativity the opportunity to make a greater impact, faster and more intelligently.
For brands that begin learning and using this technology strategically today, AI will not be a threat, but one of the most important tools for growth, innovation, and competition in the years ahead.
This Article Is Itself an Example
Perhaps the best illustration of the points discussed throughout this article is the very piece you have just read.
This article was developed with the assistance of artificial intelligence, under the supervision and refinement of the Nama Agahi content team.
AI aided us in research, structuring, ideation, and initial content development. The Nama Agahi content team then fact-checked the information, supplemented the sources, localized the material, performed final editing, and optimized the article according to Persian SEO principles to create the version you are reading now.
We believe that the future of content creation lies not in replacing writers and specialists, but in promoting intelligent collaboration between humans and technology.
While AI can enhance speed, accuracy, and analytical capabilities, it is the human perspective that gives content its meaning, identity, and value.
This article aims to exemplify this approach: the best outcomes arise not from competition between humans and AI, but from their effective collaboration.
