Limitations of Artificial Intelligence that Marketers Should Know


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Artificial Intelligence (AI) is revolutionizing the way marketers currently strategize. However, as they leverage AI for marketing operations and excellence, they may face some limitations of Artificial Intelligence.  

AI is influencing, changing, and shaping the marketing landscape. Brands include AI in their MarTech stacks due to AI’s efficiency in their processes. It is revolutionizing the methods of creating and designing marketing plans.

AI can help marketing teams create personalized campaigns, predict market trends, and automate efforts to reach customers faster. While many companies experience AI’s benefits, there are also many drawbacks.

Understanding AI’s benefits and drawbacks will help marketers stay aware of their benefits and challenges while planning their marketing strategy.

Here are a few challenges of AI that marketers and business leaders need to be aware of.

Necessitates Supervision

AI algorithms run automatically, but they need human intervention to align them to function. It is one of the main limitations marketers often face. They must plan, design, and run marketing campaigns after AI algorithms are coded. The codes and algorithms also need continuous supervision.

Marketers will need to check if campaigns are aligned. Before running a campaign, marketers need to do AI settings properly, ensuring campaigns go out at the right time. This form of supervision is one of the significant obstacles to marketers using AI platforms.

Absence of Creativity

AI systems lack creativity. They are not built to deliver creative marketing assets vital to successful marketing. Although AI systems help develop ideas, designs, and unique content, they lack creativity.

AI systems in marketing integrate to provide trending marketing ideas. But to be creative and give originality to ideas requires a human touch. This is where marketers are required to manually add creativity to make campaigns and activities successfully reach audiences and customers.

Inability to Think

AI systems are limited to thinking as per their programming. This is where marketers also face challenges. Technically, its performance is excellent, but unlike humans, it cannot make an analysis and judgment.

For instance, marketers can generate personalized message ideas through AI platforms. But the systems can’t show empathy and compassion that compels them to connect with brands. It becomes essential for marketers to identify the difference and not rely entirely on AI-generated messages.

Risk of Dulplicacy

Duplicacy issues are significant limitations of Artificial Intelligence. AI tools may be risky in creating duplicate content or ideas for marketers. Plagiarism with AI is a common issue that marketers and leaders must keep a check on.

AI systems are also risky for data duplicity. A customer base record may appear multiple times in the database, complicating the marketing process. The two or three customer data records can be the same for every marketing quarter. Marketers generating ideas for promotions and campaigns through AI platforms can be the same. The similarities can have severe implications for delivering the same assets for brands. It may also create a negative impression of the business’s performance.

No One-size-fits-all Solution

Many marketers use many AI platforms to perform different marketing tasks. This is a significant drawback of AI. Instead, they must rely on a single AI solution to perform multiple activities.

Marketing leaders must select from many AI marketing tools to optimize and personalize content, paid campaigns, and other assets. It means there is no one-size-fits-all solution when working with AI tools. This results in high pricing, time-taking, and complicated process.

Maintenance and Cost

Every new technology release is expensive for businesses. Platforms with Artificial Intelligent software are also costly. If enterprises have implemented AI tools, they need maintenance, which also requires investment. Also, AI software requires regular updates to adapt to the changing business environment.

Marketers need updated tools to deliver and analyze marketing performances. If AI tools are not updated, the best marketing practices may fail to create an impact. Before enterprises install AI systems, they must consider the return on investment carefully.

Also Read: Enhancing Martech: 13 Innovative AI-Powered Tools

AI Predictions, Analyses Can Go Wrong

Marketers may find that market forecasts and analyses of past marketing plans sometimes give incorrect data when using AI tools. It is challenging for current machine vision algorithms to recognize metrics visually.

If information and algorithms are incorrect or missed, marketers may get wrong predictions and analyses of performances. They must recheck the parameters to get correct predictions. Thus, AI can provide wrong information or results without proper guidance and human intervention.

What to Consider?

Technologies have their limitations. So do AI algorithms. Despite the challenges and limitations, AI can help marketers in many ways. AI is safer and faster with time management.

So taking the best marketing ideas and designs through the platform will benefit ROI. It will be good if brands include AI in their MarTech stacks and strategies. Keeping marketers aware of the current limitations of Artificial Intelligence will help brands set realistic expectations.

Anushree Bhattacharya
Anushree Bhattacharya
Anushree Bhattacharya is a Senior Editor with Ondot Media, where she covers stories on B2B business technology strategies and corporate technology culture. She is a quality-oriented professional writer with eight years of experience. She has been curating content for the B2B industry, and her writing style is inclined toward how businesses want to perceive information about emerging digital transformations and technology developments in the markketing landscape. Anushree blends the best information on trending marketing technology-driven stories and is proficient in curating information-driven stories about all marketing technology for TalkMarTech publication.


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