Your AI Voice Over Strategy: What NOT To Do

The Right Tool for the Wrong Job: The Truth About Your AI Voice Over Strategy

Lately, I've been noticing two dueling narratives on social media, especially on LinkedIn.

Half of the posts are pro-AI. They claim that if you aren't automating your entire business workflow with AI, you’re going to fall behind. In the voice over world, that translates into the assumption that cloned voices should replace all human voice actors. Screw them!

The other half of the posts are anti-AI. They claim that all human performances are superior to all AI-voices and no cloned voice should replace any human performance ever. Screw them, too!

Both of these viewpoints are ill-informed, hysterical, and self-centered. Neither of them are looking at the reality of the voice over world, much less the world at large.

Cloned voices can be the right solution in certain situations, but they are the wrong solution for every situation.

Budget, Speed, and Scale

When a client looks at synthetic or cloned voice options, they are usually trying to solve three points of friction. And yes, there are times when a human voice actor can't compete with a machine.

• Budget: If you are producing low-tier, high-volume internal training modules, quick scratch tracks for video editors, or hyper-localized audio that would be financially impossible to cast at premium human rates, a cloned voice might make sense.

• Speed: If your audio needs change by the minute like real-time traffic updates, breaking news aggregators, or automated software system alerts, the machines win on turnaround time.

• Scale: Try sitting in a recording booth and reading 10,000 different zip codes or personalized dynamic ad variations for a programmatic localized ad campaign. AI models excel at scale.

When a client uses a voice clone to solve for budget, speed, or scale, it might be the right tool for the right job.

Where Clones Lack Value

Here's where an AI voice strategy goes off the rails. Cloned voices solve mechanical or budgetary friction, but they cannot solve relational friction.

When a company decides to use a cloned voice for their brand messaging, their flagship eLearning course, or a deeply complex character in a video game, they are attempting to solve a human connection problem with a mathematical tool.

We are currently navigating an era of hyper-saturation and deepfakes. Consumers have developed a BS detector for corporate laziness. When a buyer encounters a synthesized voice representing a high-stakes message, their brain registers a subtle but distinct signal: “This brand didn't care enough about this message to put a human being behind it.”

The Takeaway

AI is the great equalizer. It stabilizes the operational baseline. But because everyone has access to the same text-to-speech tools, generic AI content is quickly becoming the new vanilla, and often not a good-tasting one.

The ultimate asset in business will always be relationship capital. When the narrative demands nuance, empathy, credibility, and authentic human connection, a cloned voice is not the way to go.

Use AI to handle the heavy lifting of budget, speed, and scale. But when it’s time to seal the deal, build trust, and move an audience, invest in a human voice.

From my village to yours, this is Tom Dheere, the H is Silent, but I'm Not.

Thanks For Reading!

To learn more about me, hear some samples, or download my demos, just go to www.tomdheere.com.

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Tom Dheere is a 30-year veteran voice actor specializing in corporate narration and commercials. Known as a "street-smart professor," he blends his theater-based training and guy-next-door performance style with mastery over voice over project management .

When he isn’t in the booth, he provides strategic business consulting at VOStrategist.com and produces the comic book Agent 1.22.