From Craft to Algorithm
Watch industry voices discuss the future of dubbing.
Industry leaders from localization,
media, research, and AI
Scott McCarthy
Vice President, DreamWorks Animation
On why emotion can't be automated, and where AI dubbing works and where it fails the audience.
Mark Howorth
Strategic Advisor, Howorth Consulting
On what changes, what stays, and why we should play the ball where it will be, not where it is today.
Dr. Volker Steinbiss
Managing Director, AppTek GmbH
On the economics that work through unit cost reduction paired with expansion, and the growth logic that protects the ecosystem.
Dr. Giselle Spiteri Miggiani
Media Localization Specialist & Academic, Trainer & Dubbing Scriptwriter
On why the script matters as much as the voice, and how adaptation is sophisticated re-authoring.
Nick Ivanov
Founder, Localization Business School; CEO, Graffiti Studio and GoPhrazy
On why AI dubbing is fundamentally a marketing problem, not a technology problem, and why the winners won't be who you expect.
Aaron Bhugobaun
Director, Chapter Forge; Studio Chair, GC-SC
On the 2050 horizon where real-time translation becomes the norm, and what professionals should focus on to remain relevant now.
Elena Chernysheva
Co-founder & COO, Dubformer
On navigating change without losing what matters, and why the conversation about AI dubbing needs clarity, not hype or doom.
Why leadership needs to
understand this now
AI dubbing has moved from experiment to production budgets
Studios are shipping it. Broadcasters are scaling it. The economics have shifted. The question for leadership isn't whether AI dubbing works and it's what it means for your workflows, your quality standards, and your competitive position.
This essay gives you the industry context to make informed decisions.
Three themes shaping the future of dubbing.
From Craft to Algorithm: How AI changes what your team does vs what technology handles.
The Emotion Economy: What happens when emotional impact becomes measurable capital.
The Infrastructure of Trust: How to maintain authenticity when synthesis becomes standard.
FROM CRAFT
TO ALGORITHM
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