AI in Integrated Marketing Communications

1.) I think AI is being used extensively in my field. This assumption is based on two main observations. The first is that advertisements have become heavily AI-dominated, whether in billboards we see in passing or in televised ads such as those aired during the Super Bowl or Ramadan. This shift has been noticeable enough for viewers like myself to discuss it within close circles and even in academic settings. However, it raises an important question: why would the industry move in this direction when many audiences seem to disapprove? It seems unlikely that the cost savings from using AI would outweigh the potential loss in revenue if consumers feel misled or disconnected. From my perspective, this could negatively impact a company’s image. For this reason, I am genuinely interested in understanding how professionals justify or approach this shift.

My second observation relates to academia. In IMC, as in many other majors, students are increasingly relying on AI for a wide range of tasks like video generation, poster design. This is somewhat concerning when considering the future of the field. It raises questions about the skills that will be required moving forward. If much of the “impressive” content is generated by AI, what should students focus on learning and developing? This uncertainty is why I am particularly interested in hearing an academic perspective on the role of AI in IMC, both in education and in practice.

2.) Prompt : how might AI will be used in the field of Integrated Marketing Communication? 

Link to Chat : https://chatgpt.com/share/69f25cc8-b418-83ea-80ae-4c60a1e31e5e

ChatGPT Response:

AI isn’t just being “used” in Integrated Marketing Communication (IMC)—it’s quietly reshaping how the entire field works, from strategy to execution. Here’s how it’s actually showing up in practical, real-world ways:

1. Hyper-Personalized Campaigns

AI allows brands to tailor messages to individual consumers, not just segments. Instead of one ad for everyone, AI analyzes behavior (search history, purchases, engagement) to deliver highly relevant content.

• Emails with personalized subject lines

• Ads that change based on your interests

• Product recommendations that feel “spot on”

This makes communication more effective because people are far more likely to engage with content that feels made for them.

2. Predictive Analytics & Consumer Insights

AI doesn’t just look at what customers did—it predicts what they will do.

• Forecasting buying behavior

• Identifying trends before they go mainstream

• Optimizing campaign timing and channels

This helps marketers make smarter decisions instead of relying on guesswork.

3. Content Creation at Scale

AI tools can now generate:

• Ad copy

• Social media posts

• Visuals and even videos

This doesn’t replace creativity entirely, but it speeds up production and allows teams to test multiple versions quickly (A/B testing).

4. Chatbots & Conversational Marketing

AI-powered chatbots provide instant, 24/7 interaction with customers.

• Answering questions

• Guiding purchase decisions

• Handling complaints

This improves customer experience while reducing workload on human teams.

5. Media Buying & Ad Optimization

AI automates where, when, and how ads are placed.

• Real-time bidding for digital ads

• Budget allocation across platforms

• Performance tracking and automatic adjustments

This ensures money is spent more efficiently, maximizing ROI.

6. Social Listening & Sentiment Analysis

AI scans social media and online conversations to understand public opinion.

• Detecting brand sentiment (positive/negative)

• Identifying viral trends

• Monitoring brand reputation

Marketers can then respond quickly and adjust messaging.

7. Integration Across Channels (True IMC)

IMC is all about consistency across platforms—and AI helps connect everything:

• Aligning messaging across social media, email, TV, and websites

• Tracking customer journeys across multiple touchpoints

• Ensuring a unified brand voice

The Catch (Important for Exams)

AI isn’t perfect, and this is where critical thinking matters:

• Privacy concerns (data collection)

• Over-automation can reduce authenticity

• Risk of biased algorithms

• Creativity still needs human input

Simple Way to Summarize (Great for Exams)

You can say:

AI in IMC enhances personalization, improves decision-making through data, automates content and media processes, and enables real-time interaction with consumers—while also raising ethical and creative challenges.

If you want, I can turn this into a short paragraph you can memorize, or link it to persuasion concepts like Cialdini (which is often expected in exams).

3.) Interview Transcript – Aya (TA , PhD Candidate in Marketing)

Background

I graduated from The American University in Cairo in 2020. I studied Integrated Marketing Communication, and I was also minoring in Business and Psychology. One year later, I started my Master’s at AUC in Public Administration.

My Master’s thesis was on AI and higher education, specifically the extent of readiness within faculty. It was a comparative study between private, nonprofit, and public universities, focusing on how ready faculty members are to integrate AI into their curriculum and systems. So I think this may be relevant to your work.

Then I started my PhD in Marketing. My thesis is not about AI, it is about micro influencers and sustainable marketing, so it is not directly related, but I thought I should mention it.

I have been teaching at AUC for six years, and I also worked as an assistant lecturer at the Arab Academy for Science, Technology and Maritime Transport.

1. Is AI fundamentally changing IMC theory, or simply enhancing existing practices?

Okay, to answer your first question, it is doing both depending on how students use it.

I do not think AI is being used properly at AUC, especially within the IMC major. I see a lot of students using AI to replace their original ideas instead of coming up with ideas themselves. Because of this, I think many IMC students are losing their originality and losing their voice.

I can see this clearly in assignments, in reflections, and in everything. When I grade, I hear the voice of AI, not the voice of the students anymore.

This is where they are using it wrong. They could use AI to enhance their ideas, not replace them. I think at this stage, AI should only be used to support existing ideas that are already original.

But because students are using it to create ideas from the beginning, it is leading to students who no longer have original thinking. This is quite scary, because where is this going to go in the future, especially as AI keeps developing and students depend on it more?

We might end up with a generation that does not know how to express itself or be creative. It will just be a generation of AI users.

2. How do you envision AI transforming IMC over the next five to ten years?

To answer your second question, honestly, I am very pessimistic. I used to be optimistic, but after seeing what is happening, especially at AUC, I am very concerned about what is coming next.

As I mentioned, the issue is not AI itself, but that students are taking the easy way out. If nothing is done soon to address this, we are going to end up in a very bad place in the next five to ten years.

There needs to be strict measures, such as better AI detection tools and clear guidelines. If not, students will continue using AI in the same way, and it will keep getting worse.

They will lose their ability to think and create. I referred to this as brain rot. We are already seeing early signs of it now among students.

In the future, if this continues without control, there will be a complete loss of originality in ideas, marketing strategies, and everything they try to do, because they will no longer be using their own thinking.

There are already studies, especially outside Egypt, showing that heavy dependence on AI can affect cognitive abilities. So this is not just my opinion.

If AI use is not controlled by institutions, faculty, and systems, it will have very negative consequences.

3. What gaps currently exist in academic research on AI in IMC?

To be honest, I am not completely sure, but there are definitely gaps.

AI currently has some understanding of marketing strategies and how to develop them, but it is still limited. One major gap is creativity. I do not think AI has reached the level of human creativity yet.

From my perspective, AI is still not able to be as creative as humans. This is an area that still needs more understanding.

Also, AI is developing very quickly, so it is difficult to draw conclusions. What we know today might change tomorrow.

So overall, it is still unclear, and we are still figuring it out. It is an ongoing process, and the field is still developing.

4. Can AI truly replicate creative storytelling in marketing communication, or is it limited to pattern recognition?

Right now, it is definitely limited. It is still based on pattern recognition and does not truly replicate creative storytelling.

However, I believe this will change very soon. AI is developing very fast, and it will likely exceed human capabilities in storytelling and creativity.

Not in five years, but probably sooner than that. AI will not just replicate creativity, it will exceed it.

So at the moment, it is limited, but this will not last for long.

5. What is your biggest fear or excitement regarding AI in research and academia?

Honestly, I am not excited, I am very concerned.

I was recently discussing this with Dr Shahira, who is an international scholar. Right now, in academic research, AI is already being used heavily.

Researchers are using AI to write papers, and at the same time, reviewers are using AI to review those papers.

So we now have a situation where AI is writing the research, and AI is also reviewing the research. It becomes an infinite loop of AI producing work and AI evaluating that work.

This is what is currently happening, and it is very concerning. It means that originality in research is being lost.

Detection tools are also not a complete solution. As detectors improve, AI also improves and learns how to avoid detection. So there is no final solution yet.

If this continues, we may reach a point where AI is doing everything, writing, reviewing, and evaluating, while humans are just in the middle.

Many people are using AI without understanding its impact on their thinking and creativity. They are just using it to get work done quickly, without thinking about long term consequences.

This is why I am very concerned about the future of research and academia.

Key Insights

Aya’s interview highlights that the impact of AI in Integrated Marketing Communication depends largely on how it is used rather than the technology itself. She emphasizes that students are increasingly relying on AI to generate ideas instead of enhancing their own thinking, which is leading to a noticeable decline in originality, creativity, and personal voice. While AI currently functions as a tool that can support existing practices, its misuse is creating risks such as reduced critical thinking and what she describes as early signs of cognitive decline. At the same time, she notes that AI is still limited in true creativity but is rapidly developing and may soon exceed human capabilities. In academia, she raises serious concerns about an emerging cycle where AI is both producing and reviewing research, threatening authenticity and intellectual integrity. Overall, her perspective is strongly cautious, warning that without proper regulation and awareness, AI could significantly weaken creative and strategic capabilities in the future of IMC.  

Interview Transcript – Mennatallah Salem (Marketing Manager)

Background

Mennatallah Salem is a Marketing Manager at Blooms Egypt.

She manages Blooms’ social media platforms, marketing strategies, public relations, partnerships, and supervises a team of content creators.

Blooms is a youth development company founded in 2010. It focuses on camps, trips, character building activities, and youth development programs.

1. How is AI currently being used in your organization’s marketing communication strategies?

It is mainly split into two parts, content creation and media buying.

For content creation, we use AI to generate images when we do not have actual footage. This helps us visualize ideas. For example, when preparing a marketing proposal for an event, I can generate visuals to show the client how I imagine the event, even if we have not executed something similar before. We usually disclose that AI is used in this case.

We also use AI in social media content to help write more catchy captions, and to include search engine optimization keywords and hashtags.

For media buying, AI is embedded in Meta Business tools. We provide a sample of our audience data, such as contacts or emails, and the AI system identifies similar profiles. This helps us reach a much larger audience. For example, starting from around 50 contacts, we can reach hundreds or even thousands of potential customers. This is much more efficient than manually collecting and analyzing all customer data.

2. What AI tools or platforms does your team use most frequently?

We use the AI tools within Canva, such as background removal and object extraction.

We also use Google Gemini to generate visuals based on prompts.

Additionally, we rely on Meta Business tools for AI driven ad targeting and media buying.

3. Do customers respond differently to AI driven campaigns compared to traditional ones?

We do not produce anything that is fully AI driven. AI is used as a tool, but everything is proofread and rewritten in human language.

However, when observing competitors, I notice that when captions rely heavily on AI, they tend to use complex language that our audience does not understand. This can negatively affect the campaign and the message being communicated.

So overall, AI can harm engagement if it is not adjusted to match the audience’s language.

4. What ethical concerns have come up with using AI in marketing communication?

The main concern is deception.

If companies use AI generated images and present them as real, it can mislead the audience into thinking a certain service or experience exists at a specific level, when in reality it does not.

This creates false expectations and damages trust.

5. How do you ensure transparency when AI is involved in customer interactions?

I do not use AI in the final consumer facing product.

If AI is used in presentations or pitches, especially in a business to business context, we clearly state that it is only for visualization purposes.

Clients usually appreciate this transparency. It is important that AI is not used in a deceptive way.

6. How has AI changed roles and responsibilities within your marketing team?

AI has made roles more flexible and multi-functional.

For example, a videographer can now write captions, so there is less need for a dedicated copywriter working only on text. This improves efficiency in terms of time and budget.

Also, for proposals that previously required hiring external designers or agencies, we can now create visual concepts ourselves using AI. This reduces costs and speeds up the process.

7. What new skills are now important for IMC professionals because of AI?

Proofreading and critical thinking are very important.

You need to evaluate and verify the information AI provides. Sometimes AI may suggest trends that are not actually relevant to Egypt or the target audience, which can lead to misleading results.

So it is important to validate information using reliable sources.

Creativity is also essential. Without it, everything becomes repetitive and similar because AI outputs tend to follow patterns. Professionals need to break this cycle.

8. Do you think AI will replace certain marketing roles, or mainly support them?

I think AI will merge roles rather than fully replace them.

For example, instead of having a dedicated copywriter, we may need someone who can handle multiple aspects of content creation, such as shooting, editing, and writing.

In marketing, it is difficult to fully replace roles that depend on creativity, such as photographers or videographers.

However, roles like research may be partially replaced, although there still needs to be someone who reviews and validates the information. This responsibility could shift to strategists.

9. How might AI change the relationship between brands and consumers?

If AI is used heavily without human input, it can remove the human element from communication. This could weaken emotional connection and customer loyalty, making interactions feel robotic.

However, if used correctly, especially from a business perspective, AI can reduce costs and allow companies to offer services at more affordable prices, which can benefit customers.

So the impact depends on how AI is used.

Key Insights

Mennatallah’s perspective highlights that AI in Integrated Marketing Communication is primarily a tool that enhances efficiency rather than replacing human roles, particularly in areas like content creation and media buying. While it enables faster production, cost reduction, and more precise audience targeting, its effectiveness depends heavily on human involvement, especially in adapting content to suit audience language and maintaining authenticity. She emphasizes that overreliance on AI can lead to impersonal communication, reduced engagement, and ethical risks such as deception through unrealistic visuals. At the same time, AI is reshaping the industry by merging roles and requiring professionals to develop critical thinking, verification skills, and creativity to avoid repetitive outputs. Overall, AI presents both opportunities and risks, strengthening marketing performance when used carefully, but potentially weakening brand consumer relationships if it replaces the human element.

5.)  What stood out to me most after conducting these interviews is how differently AI is experienced depending on the context, and how that shapes whether it is seen as opportunity or threat.

I really appreciated Mennatallah’s perspective because it felt grounded in real practice. She showed a very structured and controlled way of using AI, where it is clearly treated as a tool rather than a replacement. I like how she emphasized transparency, human review, and rewriting everything in human language before it reaches the audience. She also highlighted very real benefits, especially in efficiency, cost reduction, and audience targeting. In many ways, her approach feels ideal because it keeps humans involved at every stage while still using AI to improve performance.

However, I also feel that this level of ethical and controlled use is not necessarily representative of the wider field. In reality, not every company or professional is likely to be as careful or transparent. Some may rely much more heavily on AI without the same level of human oversight, which makes me think her experience represents a more responsible version of AI use rather than the average one. At the same time, even within her positive framing, there is still a concern that AI is already merging job roles. While she sees this as creating more flexible, multi-skilled roles, it also means that certain specialized positions are shrinking or being absorbed into broader roles, which indirectly raises concerns about job reduction, even if it is not framed that way directly.

Aya’s perspective, on the other hand, felt much more unsettling and almost dystopian in some parts. Especially her description of academic research, where AI is used to write papers and then also used to review them. The idea of this “infinite loop” of AI producing and evaluating AI work made me question where the human contribution actually sits in the process. If research becomes reduced to generating outputs and running automated evaluations, then it starts to feel like human intellectual involvement is being pushed further and further out. At an extreme level, it raises the uncomfortable idea that if everything becomes automated in this way, humans could eventually be replaced even in roles we currently consider intellectual or creative.

When it comes to creativity, both interviews actually reinforce its importance, but in very different ways. Mennatallah has a more optimistic belief that creativity will always remain a human strength and that AI will not be able to fully replace it, especially in a field like marketing that depends on understanding people. Aya, however, is much more concerned. She connects her observations with broader scientific discussions and suggests that there are already early signs of reduced originality and creativity due to overdependence on AI. Even if her view feels quite extreme at times, it raises a serious question about whether creativity is being reshaped or slowly weakened without us fully noticing it.

Overall, these interviews made me realize that AI in IMC is not a simple case of “good tool” or “bad tool.” Mennatallah shows how it can genuinely enhance productivity when used responsibly, but Aya highlights what happens when reliance becomes too deep, especially in education and research. What connects both perspectives for me is the underlying importance of the human mind. Whether AI is expanding efficiency or threatening originality, both interviews ultimately bring the focus back to the same question: how much of thinking, creating, and decision making are we willing to delegate before the human role starts to disappear or change beyond recognition.

For me personally, this changed how I understand AI in IMC. I still see it as a powerful tool that improves efficiency, but I now also see that it can subtly influence how people think, create, and develop ideas over time. At the same time, I do not fully agree with the most extreme concerns that AI will completely remove originality or creativity as you need creativity to give instructions.  It feels more realistic that we are in a transitional phase, where both humans and AI are adjusting to each other. The real challenge is not whether AI replaces human thinking, but whether people remain actively engaged in their own thinking while using it.