I asked ChatGPT to write an article on why AI is bad for advertising:
AI is nothing new in marketing and advertising as it has been used for years in the programmatic and ad platform technologies to improve the targeting and timing of ad placements to improve ROI for our customers, so to see AI becoming more mainstream is not surprising. Content writers, PPC managers, and SEO specialists have been using platforms for years to help with content ideas and keyword development that changes as quickly as the internet, which is impossible for anyone to keep up on, much less scalable in a competitive marketplace. What is surprising is the acceleration for adoption! In weeks, OpenAI saw more users to their ChatGPT product which took years for other technology platforms.
I didn’t know what to expect as this was my first time using OpenAI ChatGDP product. I found the interface easy to use, and the results were a solid C+ or B-. There are some flaws which I will highlight below, but overall the content is pretty accurate to the issues when it comes to AI. Below is exactly what it came up with. I did not change anything, I simply copied and pasted it into a document.
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Introduction
In recent years, there has been a lot of talk about the potential of artificial intelligence (AI) in advertising. Many advertisers see AI as a tool that can help them better target their advertising campaigns and increase their return on investment (ROI). However, there are also concerns that AI is bad for advertising. In this blog post, we will explore some of the reasons why AI can be detrimental to advertising.
AI can reinforce biases
One of the biggest concerns with AI in advertising is that it can reinforce biases. AI algorithms are only as good as the data they are trained on. If the data used to train an AI algorithm is biased, the algorithm will also be biased. This can lead to discriminatory advertising practices that target certain groups of people while excluding others.
For example, if an AI algorithm is trained on data that shows that people from a certain racial group are less likely to engage with certain types of ads, the algorithm may exclude that group from the targeting of those ads. This can lead to the exclusion of certain groups of people from advertising campaigns, which is not only unethical but also bad for business.
AI can reduce creativity
Another potential problem with AI in advertising is that it can reduce creativity. Advertisers often rely on creativity to come up with new and innovative ways to reach their target audience. However, if AI is doing the targeting and optimization for them, advertisers may become less motivated to come up with creative solutions.
In addition, AI algorithms tend to prioritize data over creativity. They focus on what has worked in the past rather than what might work in the future. This can lead to a lack of innovation in advertising campaigns, which can ultimately harm the advertiser’s brand.
AI can lead to over-targeting
Another concern with AI in advertising is that it can lead to over-targeting. AI algorithms are designed to find the most effective audience for an ad. This means that they may narrow down the target audience too much, leading to a smaller audience and potentially fewer conversions.
In addition, over-targeting can lead to ad fatigue. If a person sees the same ad too many times, they may become annoyed and start to ignore the ad. This can lead to a decrease in ROI and a negative impact on the advertiser’s brand.
AI can lead to data privacy issues
Another potential problem with AI in advertising is data privacy issues. AI algorithms rely on data to function properly. This means that advertisers need to collect a lot of data on their target audience in order to use AI effectively.
However, collecting and using personal data can be a violation of privacy. Many people are concerned about the amount of personal data that is being collected and used by advertisers. This can lead to a lack of trust in advertising, which can ultimately harm the advertiser’s brand.
AI can lead to a lack of transparency
Finally, AI in advertising can lead to a lack of transparency. Advertisers may not understand how the AI algorithms are making decisions or why certain decisions are being made. This can lead to a lack of trust in the technology and the advertiser’s brand.
In addition, AI algorithms can be difficult to audit. This means that it can be challenging to identify and correct any mistakes that are made by the algorithm. This can lead to inaccuracies in advertising campaigns, which can harm the advertiser’s brand and lead to a decrease in ROI.
Conclusion
While AI has the potential to be a powerful tool in advertising, there are also concerns about its impact on the industry. AI can reinforce biases, reduce creativity, lead to over-targeting, raise data privacy issues, and create a lack of transparency. Advertisers must be aware of these potential issues and take steps to address them in order to ensure that AI is used in a responsible and ethical manner. By ChatGPT.
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And that is how it left it. With many AI tools, there is a fall-off in performance as the systems hit a wall. This, of course, will be fixed as the system and the database continues to grow and learn, but AI will never replace free creative thought in the way a human can. Is AI, as it currently stands, the kryptonite to advertising? No. Is it forcing major changes in the industry? Absolutely! We see it implemented at a large scale in every piece of technology humans touch. From HR technology for the hiring process, lead scoring in sales CRM, Google SEO changes with EEAT, Yahoo adding AI to their search engine, and better algorithms for suggested content on your Netflix account.
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