These days, it seems like every tech company wants to have something related to AI in its products. It’s not hard to understand why. If all your competitors are jumping on the AI bandwagon and you realize it’s getting cheaper to use AI, why not? What’s wrong with adding an AI feature that might mature with time and development?
It’s true that some additions can add immense value to your product. However, it also has the potential to alienate a large chunk of your customers if you aren’t careful. In this article, we’ll explore three of the most common mistakes that people make when they start adding and rolling out AI features. Let’s dig in.
#1. Assuming Customers Enjoy ‘Helpful’ AI Features
This mistake is so noticeable that it’s responsible for a good amount of the hate that AI often gets. The very phrase “AI Slop” has become popular because of how tech companies bolt on random, unwanted AI features. The fact is that there’s a time and place for AI, and some discernment is needed before adding AI to everything.
Data from the Small Business and Entrepreneurship Council has shown that 88% of businesses use AI tools. Likewise, 73% of them claim that AI has been important for competitiveness and growth. So, it does help out businesses when used specifically for business operations.
However, throwing in an AI assistant feature to every product you create is not the game-changer you think it is. Even if an AI assistant would be helpful in the context of your product, we’re still not there yet, technologically. Most of the time, your customers are going to use whatever AI feature has been added once, then never use it again. Thus, if you do want to blindly bolt on AI, wait half a decade or so.
#2. Failing to Design for Human Impact
Every day, people are becoming more and more aware of their relationships with the digital world. If you have kids or younger friends, you already see how much of an impact social media and tech have.
Sometimes the interdependence can be so strong that it leads to addictions or other negative consequences. As TorHoerman Law notes, many young users of platforms like Facebook have developed depression and anxiety.
This has led to several Facebook lawsuit cases being filed, and the same issues can appear with AI. We’ve already seen AI chatbots lead to some pretty dark interactions, which makes a positive impact from AI so important.
The fact is that only 10% of American adults say they feel excited about AI, according to the Pew Research Center. They also noted that over 50% of Americans were more concerned than excited about AI. This concern was mainly over the impact AI would have on creativity, cognition, and relationships.
Thus, any AI feature needs to have a net-positive impact on the public. Ideally, such aspects would be investigated thoroughly during testing, before release.
#3. Ignoring Trust and Safety Issues Until It’s Too Late
This is a big one. Whenever tech companies or businesses use AI, it inherently carries a degree of risk. These range from AI hallucinations that cause people to make bad decisions or actions to data and privacy issues. The average consumer, as the data would indicate, is also quite wary of how safe AI is.
When asked how much they trust businesses to use AI responsibly, 28% of Americans said, “not at all.” Likewise, 41% answered “not much.” Only 3% said they trusted businesses “a lot.” This came from a 2025 report published by the analytics and advisory company, Gallup.
Thus, if you foresee any potential issues with your AI implementation, do not put it away for later. It tends to create a cycle of “we’ll address it in the next update,” which never actually happens. In the meantime, more customers are being exposed to an inferior and risk-prone AI feature.
There’s nothing wrong with adding AI to your products. It’s just that customers have gotten used to it feeling more like a gimmick rather than something that actually helps them. This is why you need to verify if the product really needs AI in the first place.
If the answer is yes, make sure it actually has a positive impact on your customers. Likewise, ensure that your product is not some work-in-progress thing that has a ton of vulnerabilities. AI implementation is actually easy. It just takes a bit of common sense that many tech firms seem not to prioritize anymore.
Author Name: Paul Lazarus
Author Blurb: “Paul Lazarus is a freelance content writer and violinist by profession. He holds a master’s degree in psychology and writes content for a wide range of industries, including real estate, legal, healthcare, crypto, and more.”
