3 Tasks You Could be Augmenting With AI ― and Some You Shouldn't

PublisherSol Minion Developmenthttps:https://assets.solminion.co/logo.svgPublished Strategy AIEfficiencyautomation

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AI is already beginning to shape the way we live and work. As with the birth of every major technological advancement ― like the printing press or the Internet ― AI has been met with a mix of skepticism,  alarm, and excitement. While there are legitimate legal and ethical concerns about leaning heavily on AI for creative and judgment-based work, there are many ways it can simplify time-consuming tasks for your business.


While creating compelling content is still best left to humans with professional experience, AI is great for optimizing your original work for search engines in less time. You can use it to brainstorm,create outlines, and generate relevant keywords with carefully-crafted prompts. Predictive analytics can help identify your target audience’s preferences and behavior.

New AI platforms for marketers are emerging rapidly, and according to a recent Digital Journal article, this particular market is expected to have a compound annual growth rate (CAGR) of 30% by 2030.

Customer Service

You’ve probably interacted with automated customer support systems in recent years, but most have fairly limited capabilities and can be just as frustrating to deal with as a basic phone tree system.

According to a 2023 study sponsored by the National Bureau of Economic Research, AI-based chatbots improve the performance of less skilled or newly hired support staff, while more experienced professionals have less to gain from these tools. The study found “suggestive evidence that AI assistance leads lowerskill agents to communicate more like high-skill agents,” and also “markedly improves how customers treat agents, as measured by the sentiments of their chat messages.”

Integrating an AI chatbot to field your FAQs interactively and redirect more complex issues to your team can do wonders for your customer experience ― and the mental health of your support staff.

Data Analysis

While AI tools cannot perform the highly complex and interpretive work of a data analyst on their own, they are great at automating processes and working within specific parameters.

According to a recent article from Forbes, “today’s most sophisticated LLMs and NLP tools still lack abilities like critical thinking, strategic planning, and complex problem-solving. Most experts agree that it isn’t likely that machine learning-based tools will be able to carry out these functions at the same level as humans any time soon.”

With AI Assistance, you can generate code to automate tedious data compilation and formatting tasks, identify which data points you might need for specific tasks, and formulate ideas for chart and graph creation. It’s worth noting that to function effectively, it will take a certain level of expertise to train AI to work with your organization’s data. When given specific parameters and data points, these tools can absolutely save you a lot of time and frustration.

Human insight and oversight is still essential

With tech giants like IBM making news by planning to gradually replace 7,800 positions with AI, and the current Writers Guild of America (WGA) strike ― partially fueled by fears that AI will soon replace human script writers ― it’s understandable that people are worried. But there’s a lot of potential to be explored when we see AI as a tool that requires human direction rather than a cheap and easy replacement for human skill.

Empathy, critical thinking, and creativity are things we simply have not found a way to automate, and without them you will undoubtedly run into trouble. AI-generated results are only as good as the prompts you provide, which is a skill set that will be in increasing demand as the technology develops. Vague, open-ended questions are a sure way to end up with faulty information, and the more specific parameters you set, the better.

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