The Real Danger of AI Isn’t Deception. It’s Delusion.
Deception targets the audience. Delusion targets the creator. And the second one is the threat already sitting in your studio, your office, and your phone.
A TLC series called 1000-Pound Sisters chronicles the lives and intermittent weight-loss journeys of Kentucky siblings Amy and Tammy Slaton. In the latest season, one storyline caught my attention.
Amy becomes obsessed with recording a song she claims to have written. She is genuinely passionate, talking about her contribution to the world, planning a music video, and dreaming up a world tour. One problem: she didn’t write the song. AI did.
When she entered the studio to lay down vocals, it was immediately clear she’d need Akon-level Auto-Tune. Computer-generated music. Heavily tuned vocals. Not my thing.
What struck me was not that she used AI. Countless artists are experimenting with these tools right now, and some will find new creativity because of them, in the same way Trent Reznor and Nine Inch Nails created a new genre of music with the advent of the Alesis drum machine. What struck me was that she was completely convinced she had created something great. The software made her rough notion feel finished, polished, and wholly hers.
That disconnect between what you actually create and what you believe you create is the gap that concerns me. Amy produced a neat party trick, yet walked away convinced she had written a radio hit.
Her delusion is not without precedent. I am sorry to say that the Christian radio genre that helped THIRD DAY find an audience, the genre that shaped my life, recently saw an AI-generated creation rise to the top of its charts. How can soul-stirring worship music come from an entity with no soul?
The creative equation is changing
I write about this a bit in Market Like a Rockstar. The traditional creative equation was:
Creativity = Idea + Years of Study and Discipline to bring it to life = Eventual Output
Today, that equation is being replaced:
AI Creativity = Idea + AI Tool = Instant Output
When developing a craft, you are forced to struggle. You fail, adjust, grow, and slowly uncover your own point of view. That friction forges an authentic voice. Every memorable musician, writer, and artist is defined by the perspective earned through that grind. When you offload the struggle to an algorithm, you bypass the growth. The tool makes you feel finished before you have actually begun.
I am not anti-technology
I use AI regularly for practical workflows. I’ve used AI avatars to build educational platforms. I’ve blended generative video with real footage to build POV drone shots that would otherwise bust my production budget. I dictated the thoughts for this piece into a voice memo and used Claude to help structure the initial draft. Gemini created the cover image for the original article from a prompt. But I know exactly where my contribution ends and the AI begins. That boundary matters.
The danger of AI is not just the very real risk it poses with superintelligence five to ten years down the line. The risk is already here. If you’ve turned on your television during this election season, you have witnessed the unsettling reality of deepfakes and manipulated media. AI needs ethical guardrails: watermarking, algorithmic transparency, and sensible regulation.
Yet the more insidious cultural threat is not deception. It is delusion. Deception targets the audience, but delusion targets the creator.
The human thumbprint
All summer, I worked on new music with a friend with a strict rule: no AI. So far, we’ve tracked 25 demos. We’re confident we now have at least six great songs worthy of finishing and sharing with the world. We’re still grinding every week. With generative tools, we could have finished the project weeks ago, and the tracks would sound cleaner and more commercially polished. But our demos are packed with happy accidents: a guitar riff that slipped out of time and opened up a fresh melodic idea, a flawed vocal take that unexpectedly turned into a hook. Our influences and styles blended together to create something fresh.
Will it be good? Time will tell. But it will be ours. That’s the human thumbprint we’re trying to protect.
Watching Amy celebrate a creation she had little hand in building is the real cautionary tale. The danger is not that she opened an AI app. The danger is that she looked at the machine’s output and mistook it for her own. Using AI to deceive an audience erodes trust. Using AI to deceive yourself erodes your soul.
If your organization is navigating AI without losing the human thumbprint that makes people trust you, that is exactly what my keynotes, workshops, and leadership sessions are built for. Learn more at taianderson.live/keynotes.
Originally published on LinkedIn, October 1, 2026.
