AI Alignment in Marketing: The Perfect Blend of Human and Machine

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AI Alignment in Marketing: The Perfect Blend of Human and Machine

AI Alignment in Marketing


AI-powered software is totally changing the landscape of marketing, automation, and making data-driven choices a reality for the masses. So what are the perks of AI in marketing? Well, there is more efficiency for marketing campaigns, but most importantly there is more connection with the customers. With all of this in mind, businesses need to find that perfect mix of human intervention and AI alignment in marketing.

What is AI alignment in marketing?

AI alignment in marketing is where we blend artificial intelligence, with a marketing strategy and tactics, to create a more efficient workflow. AI alignment in marketing should be using new tools such as GPT, Midjourney, etc for personalization, data analysis, better lead gen, and ways to engage with customers. To help AI align properly with marketing objectives, staff should be trained, to make sure that all AI campaigns are ethical, and to find the right balance between AI and human interaction.

How Generative AI is changing creative work

It goes without saying that Generative AI like GPT, Midjourney, etc have already started transforming the marketing landscape, as well as software, design, entertainment, etc.

These new AI models can write complex dissertations in a matter of seconds, these are well-written and can be blog posts, as well as creating magnificent imagery in a similar amount of time. Whilst many of us thought that these types of accomplishments would come last with AI, they came first.

The use cases consist of anything from marketing to writing code for Python, C++, etc. The code is written using natural language by the human user, and the output code some of the time is usable. Whilst these models can write code, the code isn’t perfect and need revisions, so a back-and forth-takes place between the user and the AI.

Stable Diffusion recently came under fire, for a copyright lawsuit, as a result of artists saying their images were used without permission. For the moment it is being debated as to whether or not AI training on images breaks copyright law. If Stable diffusion loses this case, it could mean another sea change in the AI landscape. This change could only be short-lived, with new models such as Adobe Fire Fly taking a different approach whilst training their image generation model.

Human creators contribute to the content that Adobe Firefly is trained on via Adobe Stock. As part of its Content Authenticity Initiative, Adobe has committed to labeling all AI-generated content to set it apart from content created by humans.

With all the efficiency and effectiveness of generative images, these models also bring up other legal and ethical issues, like deepfakes and intellectual property rights.

How far generative art has come

It seems like only less than a year ago we were using Midjourney version 1 back in March of 2022, recently version 5 came out and blew everyone’s mind with its photorealism that has been taken to another level. Generative AI art is near perfection, I truly can’t wait to see what will happen in a year’s time, or even next week with how fast-moving this industry is.

Coca-Cola made a recent announcement stating that they are inviting fans to utilize generative artificial intelligence tools for creating artwork for the brand. The artwork that the fans create has a chance of appearing on billboards in New York and London, which is an exciting opportunity for them. So this shows the capabilities of generative art over traditional forms of image production.

How AI and automation change brands’ approach to market research

Market research is vital for efficient marketing campaigns, it helps drive more sales and conversions. Traditional market research has usually relied upon out-of-date data, making it costly and limiting in what it can tell you, knowing what the current trend is right now is important. Social listening platforms are tools that monitor online conversations to gain insights about audiences. Social listening platforms are cheaper than human monitoring conversations, but they still need manual work and can overlook competitive moves.

AI and automation methods can help solve these problems by offering real-time market research, which gives an up to date information, vital for making those data-driven decisions in marketing. By checking out customer sentiment data from different touchpoints, AI-driven methods help brands spot trends and practices that can make them more competitive, leading to better customer experiences, higher ratings, and long-term growth.

AI for Email Marketing

This is most likely the first place where current AI models are excelling. Email marketing has for sure changed forever, creating personalized copy, and creating more dynamic copy that keeps you interested to read is a game changer. Platforms like Grammarly, ChatSonic, QuillBot, and ChatGPT can create in some cases better content than a human can write. Being better than a human is one thing but these platforms also help crafting emails much quicker.

Whilst AI writing platforms can create content faster and sometimes better than a human, they do hallucinate facts into content as well as make grammatical errors, and in some of my other testing, GPT can also get mathematics incorrect. Just like a human writing content on your behalf, you still need to check it, before it goes to press.


As the landscape of marketing and AI changes so must businesses change to stay competitive. In just five days after its launch, ChatGPT reached a milestone of 1 million users, making it the fastest-growing platform by amassing 100 million users by January 2023. It recorded 1 billion visits in February and 1.6 billion visits in March 2023. Following ChatGPT’s success, OpenAI was valued at a staggering $29 billion.

This is indicating that AI isn’t going anyway time soon. To put this in perspective the telephone designed by Graham Bell took 25 years to achieve 10% of the US population using a phone, Chat GPT took just months to achieve 100 million users.

By embracing the power of AI while maintaining human involvement, brands can create more efficient, data-driven marketing strategies that foster better connections with their customers and drive long-term growth.

Written by Hugo Clarke

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