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AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273)

Digital Marketing Masters Podcast by Hook Digital Marketing

Oct 1, 202500:42:42Business

In this episode of Digital Marketing Masters, I sit down with returning guest Aaron Ryan—author, voice actor, musician, and now 35-book veteran—to dig into the turbulent crossroads of creative work and AI. We talk candid...

About This Episode

AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273) is an episode from Digital Marketing Masters Podcast by Hook Digital Marketing. In this episode of Digital Marketing Masters, I sit down with returning guest Aaron Ryan—author,...

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Episode Details

Published Oct 1, 2025, 00:42:42 long, audio available.

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What is AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273) about?

In this episode of Digital Marketing Masters, I sit down with returning guest Aaron Ryan—author, voice actor, musician, and now 35-book veteran—to dig into the turbulent crossroads of creative work and AI. We talk candidly about toxicity and gatekeeping in the voiceover community, why Aaron stepped back from coaching, and how that decision unleashed a surge of creativity across fiction and music. We dive deep into AI’s disruptive impact on voice acting, translation, and publishing; the ethics and legal gray areas around voice cloning and training data; and the real-world risks surrounding impersonation scams, spammy book “marketing,” and parasocial AI relationships. Aaron shares insights from his latest releases, including The Phoenix Experiment and the ever-expanding Dissonance series, while I offer updates on my new book, Will AI Take My Job Too, and the whirlwind pace of AI developments creators must navigate. It’s a frank conversation about protecting creators, using AI responsibly, and finding the line between innovation and exploitation. We also explore practical ways authors can focus on their craft—hiring help, building communities on platforms like BlueSky, and embracing tools that amplify (not replace) human creativity. From fair use debates to the future of royalties and open-source models, this episode is a reality check and a roadmap for storytellers working in the age of intelligent machines. (00:01) Welcome back and guest intro: author-voice actor Aaron Ryan (00:46) From tetralogy to hexology: expanding the Dissonance series (01:16) Reunions, life updates, and catching up (03:07) Career snapshot: voice acting full-time and leaving coaching (04:10) Toxic gatekeeping vs. quality bars in voice over (06:25) AI’s impact on voice acting and licensing your voice (08:11) Voice cloning risks, misuse, and legal gray areas (10:14) AI lawsuits, fair use debates, and training data (16:05) Derivative works, royalties, and who gets paid (18:31) Music royalty realities and quoting lyrics in books (19:29) Runaway AI progress and superintelligence concerns (23:20) Fiction mirrors fears: Phoenix Experiment and AGI Next (25:47) Scammers targeting authors and creators (29:49) Fighting spam with AI and ethical gray zones (33:24) Automation abuse, impersonation scams, and loneliness (38:08) Open-source AI vs. safety tools; hopes for human-made work (39:40) Let creators create: hiring marketers and using AI well (41:02) Where to find Aaron’s books and communities (41:43) Wrap-up and playful outro banter Looking for a podcast guest? Author Matt Rouse Hook Digital Marketing | Hook Digital Marketing Canada Market your local business on autopilot: SMB Autopilot

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AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273) is an episode from Digital Marketing Masters Podcast by Hook Digital Marketing.

How long is this episode?

This episode is 00:42:42 long.

When was this episode published?

This episode was published on Oct 1, 2025.

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Where can I listen to AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273)?

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Which podcast is this episode from?

AI, Authors, and Voice Acting. Round Two with Aaron Ryan (273) is from Digital Marketing Masters Podcast by Hook Digital Marketing.

What are the episode details?

Published Oct 1, 2025 and 00:42:42 long