This Community Voices column on AI is written by Dawn Winterhalter Parks, the director of BizAccessHub at Northern Kentucky University.
“When I say peanut butter, what do you say?”
Most people respond, “Jelly.” That’s prediction at work.
It’s not emotion. It’s not intuition. It’s pattern recognition. Based on years of experience—or in the case of artificial intelligence, massive amounts of data—we predict what usually comes next.
That’s how AI works. It doesn’t think. It predicts what’s most likely to come next based on patterns it’s seen before.
And that’s where many of today’s biggest myths about AI begin.
In 2025, AI is everywhere—from schools and startups to Walmart and Wall Street. Despite its popularity, it’s widely misunderstood. These myths don’t just confuse us, they slow us down, create fear and make it harder for individuals and organizations to stay competitive.
Myth #1: AI thinks and feels like a human
Fact: AI doesn’t think. It predicts.
Tools like ChatGPT aren’t “thinking” or “feeling.” They generate text by identifying the most statistically likely next word based on vast amounts of training data.
That’s why AI might seem empathetic or insightful, when it’s really just doing math. Don’t mistake it for consciousness. AI doesn’t know what it’s saying — it just knows what usually comes next.
Myth #2: AI will replace all human jobs
Fact: AI is transforming work; not eliminating it.
Yes, AI can automate repetitive tasks. That doesn’t mean it’s eliminating humans. In fact, studies like PwC’s 2025 AI Jobs Barometer show that industries using AI are seeing wage increases and more meaningful work, not mass layoffs.
AI frees people to do what machines still can’t: build relationships, solve complex problems, make ethical decisions and create original ideas.
Myth #3: AI will make human creativity obsolete
Fact: AI can support creativity—but it can’t replace it.
AI tools can generate poetry, music, images or video. But they aren’t drawing from lived experience. They aren’t interpreting meaning. They remix patterns.
AI needs humans to feed it stories, data, emotions, context, and cultural relevance. Without human input, AI has nothing new to learn from. It’s not a muse; it’s a mirror.
Myth #4: AI is ruining education by making cheating easier
Fact: AI changes how we learn—but doesn’t have to undermine it.
Yes, students can use tools like ChatGPT to cheat—but they can also use AI to learn better. AI can explain concepts in plain language, act as a study partner, or help students organize their thoughts and clarify ideas.
I’m also hopeful that, eventually, AI will give teachers the opportunity to actually teach the content they love—math, science, English, history—with less pressure from administrative tasks and high-stakes testing. Our teachers and faculty spent years studying specific subject areas, but state mandates and standardized tests have made it difficult to share their knowledge.
What if AI could reduce administrative tasks and support state-mandated testing, leaving teachers with extra time to teach in unique and engaging ways?
Myth #5: AI will worsen inequality and “deskill” work
Fact: AI is changing how we work—those who upskill stay ahead.
Some companies are cutting jobs as they invest in AI. Walmart, Procter & Gamble, Duolingo, and IBM have all restructured or downsized roles tied to automation or generative tools.
But that’s not new. Every major tech leap—from ATMs to digital photography—reshaped the job market. Jobs didn’t vanish. They changed. And new ones appeared for those who adapted.
AI doesn’t erase value. It moves it. If you’re upskilled, you’re ready. If you’re not, you risk being left behind. Now is the time to learn the tools. Train your team. Use AI to compete smarter—not to play catch-up.
AI is not a sentient being. It’s not perfect. And it’s not coming for every job. But it is a powerful tool—one that can radically boost productivity, creativity, and decision-making when used intentionally.
Final thoughts: Don’t let myths hold you back. The future of work belongs to those who are curious, courageous, and willing to learn.
So, when someone says, “AI is taking over,” you can smile and say:
“Not me. I’m taking control.”
This article was developed with the support of AI tools. I used ChatGPT and Perplexity.ai to research commonly held myths about artificial intelligence and to locate credible sources like Forbes, Harvard Business Review, and LinkedIn that helped inform the content. I also used Grammarly to review spelling, grammar, and clarity.
These tools helped organize, refine, and strengthen the ideas presented—but every sentence was reviewed and shaped by me. The thoughts and conclusions are my own.
If you have an idea for a Community Voices column, email Meghan Goth at mgoth@linknky.com.
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