4 AI Controversies Marketers and Brands Should Avoid 220

Artificial intelligence is a hot topic, and a recent study showed that more than 61% of marketers use AI in their marketing campaigns. By now, you've likely heard about all the ways AI can help you develop and execute a marketing strategy, but are there any drawbacks?

A square button with the blue word AI stands out among other buttons.

To help you avoid missteps as you explore the world of AI, here are four disadvantages of AI that marketers and brands should keep in mind.

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The Benefits of AI in Marketing

Before we dive into the disadvantages of AI in marketing, we must look at the positive side.

One useful aspect of AI is that it can automate repetitive parts of the marketing process, such as task automation, data analysis, and campaign personalization.

Automating the above tasks allows marketers to spend more time developing strategies, brainstorming content, and finding new ways to connect with consumers.

AI can also significantly reduce errors in the marketing process by avoiding missed deadlines, spelling and grammar mistakes, and incorrect math or data entry.

Speaking of data, AI can also analyze massive amounts of data 24/7 without taking breaks or burning out. Ultimately, AI is a great tool that can be used to perform tasks that would be difficult or impossible for humans to complete.

4 Disadvantages of AI in Marketing

While there are many benefits to integrating AI into marketing, it does come with a few drawbacks marketers should know about.

1. Machines cannot replace human connections.

While AI can personalize marketing campaigns using up-to-date data, that doesn't eliminate the importance of human relationships. For example, chatbots are a common form of AI used in marketing to automate customer communication and troubleshooting.

In fact, 89% of consumers appreciate the quick response of customer service chatbots. However, unlike humans, chatbots cannot display emotion and are less likely to respond to customer inquiries with the same empathy as a human agent.

Chatbot responses are also limited and may not have the data needed to answer every customer question.

If customers feel their concerns aren't being taken seriously or they aren't getting the answers they need, they may become frustrated, and their relationship with your brand may deteriorate.

According to a recent study, 53% of consumers cut spending after having one bad experience with a company.

Quality customer service is an integral part of customer retention, so you shouldn't rely too heavily on AI when engaging or connecting with consumers.

2. AI predictions and analytics can sometimes be wrong.

"Reliable sentiment analysis (i.e., figuring out if a sentence is happy, sad, or sarcastic) is really hard for AI, as is reliable sentence parsing," says Pawan Deshpande of Scale AI.

"Reliably visually recognizing a teacup is challenging for current machine vision algorithms," he says.

In other words, AI doesn't have the human intuition to understand and perform certain tasks, such as analyzing sentiment and intent. AI can make mistakes without human experience and perception guiding the way.

"Human intuition is what data to look for and what questions to ask, and that's the biggest limitation right now," says Deshpande.

3. They require a lot of data and human intervention.

Speaking of data, AI's capabilities are contingent upon the data it's given, and it requires massive datasets. As a result, you may need to hire people knowledgeable enough about AI to train and upload these large datasets.

Alternatively, your current team will need to be trained and expand their skills to use AI.

If this process seems too tedious and expensive for your brand, consider whether and how you'll integrate AI into your strategy.

4. AI lacks human creativity.

AI tools can be used for customer segmentation, recommendations, and other parts of the marketing process. However, humans are still needed to brainstorm and develop creative and innovative content strategies that will resonate with audiences.

For example, when it comes to social media marketing strategies, consumers tend to favor content that showcases brand values and aligns with their own. Fun, trendy, and relevant content also resonates well with audiences.

Only human marketers can take the lead on delivering relatable, touching content that fosters connection.

Content strategies that rely too heavily on AI-generated content and algorithms can become stale or disjointed. Consumers want to know the people behind the brand empathize with their concerns.

Ultimately, AI can be an excellent tool for automating and streamlining various aspects of the marketing process, but companies should be aware that AI shouldn't replace the human element.