Why Voiceover Is a ‘French Blue Collar’ Job…and Why AI Can’t Dress the Part. by, Erikka J

Guest Blogger Erikka J takes the wheel this week, with an incredibly insightful piece.

Erikka J is an Emmy-winning voice actor, singer, and brand messaging consultant based in
Atlanta, and a board member of the National Association of Voice Actors. Her voice has carried
stories for PBS, the NFL, Lego, and AAA video games like Fallout 76. Her work centers on one
core belief: Effective communication lives in the details of the delivery…and in the details, your
message finds its heart.

Find her at erikkaj.com.

“Oh no, voice over…has AI been hard on you?”
That’s the question I get at many networking events, conferences outside of voiceover, and
cocktail parties. Someone asks what I do, and when I tell them I’m a voice actor their face does
this thing. A slight wince with a sympathetic head tilt and softening of their tone.

They’re bracing for a sad story. I relish watching the surprise land when I tell them the truth.

Business is booming.

Not surviving or hanging on by a thread while the robots circle overhead…booming.

While I want to acknowledge that some genres have absolutely seen an impact, my best years
have come after synthetic voices flooded the market…and I don’t think that’s luck or denial. I
believe it’s because of a factor that most people outside of our industry (and honestly, plenty of
people inside it) misunderstand about what this job really is.

I don’t share this to brag, but to give anyone in a slow season hope. An offering of a reframe to
power your pivot with. Walk with me here.

The Collar Conundrum

Work is typically categorized into one of two buckets – blue collar means you work with your
hands, referring to the trades that require manual skill and physical labor. White collar means
you work with your head, also referred to as knowledge work… think analysis, strategy, and soft
skills. (Haha, think….see what I did there?)

High-level voiceover refuses to pick a bucket. It doesn’t fit the binary mold…it reflects both hues
at full intensity, all the time. I’ve started calling it a ‘French blue collar’ job…and yes, I chose that
color on purpose.

French blue sits in its own lane on the spectrum. Next to navy it looks lighter; compared to white
it’s unmistakably blue. It belongs to neither category but borrows from both.

Color psychology backs the metaphor up (because I’m a nerd for all things communication).
Blue is the workhorse of business attire because it signals trust and dependability, but the shade
changes the message. Navy projects authority. French blue reads warmer and more
approachable… it’s the shade stylists recommend when you want to come across as friendly
and competent in the same glance. Which, come to think of it, is the exact read most clients are
asking for (how many times have you seen the spec “like you’re talking to a friend”?).

That in-between space is exactly where this career lives. And lucky for us, it’s exactly why AI
voices keep getting evicted.

The blue collar half

Strip away the glitz and glamour of voiceover and a session boils down to manual labor. My
instrument is a body. Breath support, diaphragm control, jaw tension, mic technique, the stamina
to hold consistent energy across a two-hour session when your read on take 47 has to match
your read from take four. Pickups recorded three weeks later that need to seamlessly splice into
the original session. Plosives managed in real time, mouth noise hunted down…like a
tradesperson chasing a rattle in the wall.

Economists keep landing on the same finding when they study automation risk: skilled trades
are among the most protected categories of work. Goldman Sachs’ labor research projects the
AI economy will actually need more skilled technical workers, naming electricians, construction
workers, and lineworkers specifically, while their earlier automation analysis found crafts and
trades among the least exposed job categories anywhere. Think plumbers, welders,
electricians, and master carpenters. The work is physical, situational, and embodied – a
combination that machines remain genuinely bad at. The booth side of voiceover belongs to that
family. It’s a craft you build into your muscles over thousands of hours, and no model update
downloads it.

The white collar half

Here’s where it gets interesting, because the physical craft alone won’t book you the job. Plenty
of people have beautiful voices and solid technique. The differentiator is what happens between
your ears before sound ever leaves your mouth.

Script interpretation is knowledge work. Reading a thirty-second spot and locating the one line
the whole message pivots on. Knowing how to subtly but clearly execute the turn from problem
to solution with voice as your sole tool. Understanding the brand’s position in its market well
enough to know whether this read needs warmth, authority, a little mischief, or a mix of them all.
Hearing the subtext under “we’re here for you” and deciding, deliberately, how to deliver on that
intention throughout a :30 spot with wall to wall copy without it feeling rushed. Making a stranger
feel something specific, in 15 seconds…or six.

That is emotional strategy executed at a professional level. It draws on everything… your
understanding of persuasion, story structure, human behavior, and the particular client sitting on
the other side of the glass. The voice is just the delivery system. The product is a feeling,
engineered with precision. This is why coaches often teach that specificity is what wins the job.
Why the fusion is the moat
Now let’s look at what synthetic voices actually do well. They can produce clean, fast, cheap
audio for low-stakes content, and I won’t pretend otherwise. If a project needs a flat, functional
narration where nobody will ever feel anything about it, that work was always at risk of migrating
somewhere cheaper. There’s a market for the dollar store, and a market for Neiman Marcus.
Similarly, there’s the ‘holler for a dollar’ voice buyer and there’s higher end clients that want high
end results from skilled human storytellers…and, **deep breath**…that is okay.

Meanwhile, pure knowledge work is where the erosion is actually showing up. Stanford’s Digital
Economy Lab tracked millions of payroll records and found that early-career workers in the most
AI-exposed occupations have seen a 16 percent relative decline in employment, concentrated in
jobs where AI automates rather than augments the human. Software, customer service, clerical
work. Head-only jobs, in other words. The collar getting squeezed first is the white one.

But watch what happens at the high end of voiceover. A synthetic voice can approximate
tone…it cannot make a choice. It has no opinion about the script, no point of view on the story,
no world view shaped by personal experiences, no read on the client’s anxiety in the session, no
instinct telling it to throw away the punchline instead of leaning on it. It can’t take direction like
“great, now do it like you’re telling a secret to someone you love” and actually mean it. J.
Michael has written about this gap himself, and I’d push his point one step further: the gap exists
because the job was never purely cognitive to begin with.

To replace what we do, a machine would have to master the trade and the strategy
simultaneously… the embodied craft of the booth and the interpretive intelligence above it, fused
in real time, in collaboration with a human director. Either half alone is hard. The fusion is the
moat.

This is why the buyers paying real money haven’t left. If anything, the flood of generic synthetic
audio has made the distinctly human read more valuable, because now it stands out against a
sea of sameness. Brands are discovering that “good enough” audio makes them sound like
everyone else, and sounding like everyone else is expensive in ways that don’t show up on the
invoice.

What this means for your career

If you’re building a voiceover business right now, or rebuilding after a slow season, the French
blue collar frame gives you a practical roadmap. Train both halves like your career depends on
it, because it does.

Treat the booth like a trade. Drill the physical skills until they’re automatic… breath, consistency,
stamina, technical fluency. Apprentice yourself to the craft the way a welder apprentices to their
work.

Then treat interpretation like the knowledge work it is. Study persuasion, communication,
brands, advertising trends. Sharpen your competency by continuously learning why certain
reads sell and others just sound nice. Get curious about the messaging strategy sitting
underneath every script, because the talent who understands the why behind the words are the
ones clients can’t replace and won’t risk losing.

One more thing: protect the trade itself. The National Association of Voice Actors (NAVA) is
doing serious advocacy work to push for consent, control and compensation – the legal
guardrails this profession needs in the age of AI – and supporting that effort is part of thinking
like a craftsperson rather than a commodity. It’s the cheapest business insurance you’ll ever
find.

The people who fade first are the ones treating this like a commodity gig… read the words, send
the file, and invoice. The ones thriving are operating like craftspeople and strategists at the
same time.

The Raw, Real Deal Takeaway

One of my favorite quotes is “Innovate or Evaporate”. So if your voiceover business is having a
hard time right now, look for ways to pivot your skillset. There’s still work out there, you may just
need to be more creative in how you position your offering to be more AI resistant.

The next time someone gives you the sympathetic head tilt and asks if AI has hurt your
voiceover career, smile. You’re standing in one of the rare professions where manual mastery
and emotional intelligence have to show up together, in the same moment, in the same person.
That blend has a name the French gave us for what resists explanation: je ne sais quoi. I just
call it the job.

So no, voiceover’s collar isn’t blue…and it isn’t white. It’s French blue…and it’s holding its shape
just fine.