Ali Latif

900232635

AI in my profession

Step 1:

AI is already doing a lot in marketing, especially in automating tasks like email campaigns and analyzing customer data. But where I see it really making waves is in personalization. Think about how Netflix suggests shows based on what you’ve watched—it’s that kind of tailored experience that could become the norm for marketing. In the future, I imagine AI going beyond just showing us ads based on search history. It might even predict trends before they happen, letting marketers target people based on what they’re going to want, not just what they like now. That could be a game changer, but it’s also a bit scary because it could make marketing feel invasive if it’s overdone, and i don’t particularly like that ai has created a paranoia at Auc(i mentioned this in class before), where there were cases of ai use even though detectors said 0%, but rather a feeling from doctors, it’s causing issues. 

Step 2:

AI Response:

• Automation and Personalization: AI will keep automating tasks like targeted emails and social media management. Tools will get even better at figuring out exactly what a customer wants based on their data.
• Predictive Analytics: Predicting what customers are going to do next is going to become easier with AI. It’ll help companies spot trends faster and make more accurate decisions.
• Content Creation: AI can already write blog posts, but soon it’ll be creating more dynamic content, like personalized videos.
• Challenges: One of the risks is relying too much on AI, which could limit creativity. And of course, there’s the issue of data privacy, which could become a huge problem if marketers aren’t careful.

Step 3: 

I had the chance to talk with Dr. Hakim Meshreki before in the summer, a brilliant professor at AUC in the marketing department, and our conversation really made clear how AI is shaping both the academic and practical side of marketing.

• AI in Academics: he explained that AI is becoming more prevalent in marketing education, especially in areas like data analytics and customer behavior studies and market research. students are starting to work with AI-powered tools such as Google Analytics, Sprinklr, and HubSpot in their coursework. 
• AI in Research: One area I hadn’t thought about before was how AI is influencing marketing research. Dr. Hakim mentioned that traditionally, marketing research involved sending out surveys, manually collecting responses, and then analyzing them, a process that could take weeks or months. Now, AI can sift through vast amounts of data in minutes, offering insights in real time. AI can help us analyze customer sentiment across millions of social media posts or product reviews in seconds, and that’s changing the game for both academic and industry research. For example, researchers can use AI to predict consumer behavior based on past purchases, location data, or even online browsing habits, which helps them refine their strategies.
• AI and Ethics: also an important issue is the ethical implications of using AI in marketing, while AI can analyze vast amounts of data quickly, there are concerns about privacy. Marketers have access to more personal information than ever before, and AI makes it easier to track and predict customer behavior. Students need to understand not only how to use these tools but also the ethical considerations that come with them, stressing the importance of data privacy and transparency.
• AI and Teaching: AI is also slowly changing how marketing is taught. AI-driven tools like personalized learning platforms could one day adapt the curriculum to individual students’ needs, helping them learn at their own pace. I imagine a future where AI might even assist in grading assignments or giving personalized feedback, which could free up more time for professors to focus on teaching critical thinking and creativity.
• The Future of AI in Marketing: AI is going to take over a lot of routine tasks like data analysis and campaign optimization, but marketers will still need to provide the creative and strategic vision that AI can’t. For students like me, the recommended way is focusing on mastering both the technical and creative sides of marketing. AI may handle the data, but understanding how to interpret that data and use it to connect with people will always be a crucial skill.

Step 4:

I also spoke to my father, a professional in the financial sector and sometimes works in marketing, to get a sense of how AI is being used in the real world. What stood out to me most is how AI is impacting day-to-day operations and the potential for AI to shape the future of marketing jobs.

• AI in Daily Work: he shared how AI is now deeply integrated into the marketing workflow. One of the primary ways they use AI is for customer segmentation, identifying different groups within their customer base and tailoring campaigns specifically to each group. “It used to be that you’d manually analyze customer data and sort them into different buckets, but AI does all of that for us now, and with way more accuracy,” he said. This not only saves time but also ensures that their marketing is more targeted and personalized. Tools like Salesforce and Google Analytics use AI to automate the process of analyzing large datasets, offering predictions on customer behavior, and optimizing the timing and content of marketing campaigns.
• AI-Driven Personalization: One area where AI is really making a difference is in personalizing customer experiences. He  explained that AI algorithms track how customers interact with their website, social media, and emails, and then adjust marketing strategies in real-time. “If a customer is browsing a certain product on our site, AI can instantly recommend related products, or send them a follow-up email with a special offer for that product,” he said. This level of personalization is only possible with AI because of the amount of data it processes and how quickly it adapts.
• AI and Content Creation: What really surprised me was that he mentioned AI is now assisting with content creation. “Some companies useAI tools that help generate copy for social media posts, product descriptions, and even blog articles,” he said. While the content still gets reviewed by humans for quality and tone, AI is already capable of creating basic drafts and suggestions, which speeds up the process significantly. This helps the team focus more on creative strategy and less on the time-consuming task of writing.
• Challenges with AI: Despite all these advancements, it was pointed out that AI isn’t without its flaws. “AI is great at processing data, but it doesn’t always get the context right,” he said. One example he gave was an AI-driven email campaign that recommended a product based on faulty data, leading to confused customers. AI also struggles with creativity, which is why human oversight is still essential. There’s also the issue of data privacy. With AI handling more and more personal data, companies need to be careful about how that data is used and protected. they have to make sure they’re not crossing any lines when it comes to privacy. 
• AI and the Future of Marketing Jobs: One thing that came up was the potential for AI to replace certain jobs. While AI is automating many tasks, it’s also creating new opportunities. “Entry-level jobs like data analysis might be affected, but there will always be a need for people who can think creatively and strategically,” he said. he believes that the future of marketing will be a hybrid approach, where AI handles the heavy lifting with data and automation, but humans still provide the creative vision and emotional intelligence that AI lacks.
• Preparing for the Future: His advice for students entering the marketing field? “Learn how to work with AI. You don’t need to become a programmer, but you should know how to use AI tools to your advantage,” he said. He stressed that while technical skills are important, creativity and critical thinking will be just as valuable in a world where AI handles the routine tasks.

Step 5:

Honestly, I didn’t realize just how much AI was already part of the marketing world. Hearing from both the professor and the professional made me realize that AI is more than just a buzzword; it’s changing how marketers work, and fast. What really surprised me was how much it can predict customer behavior. That’s both exciting and kind of freaky, because where do we draw the line between useful and too much?

What excites me is that AI can take over the boring, repetitive parts of marketing, leaving more room for creativity. But I’m also a little nervous about the job market. If AI keeps advancing, some roles might disappear, and that means I have to focus on learning new skills, like data analysis and using AI-driven tools, to stay ahead of the game.