Create an Audio Podcast with AI Using Google AI Studio and Adobe Podcast Studio

AI shortens the loop between idea and episode. With AI podcast creation, you can draft scripts, generate natural-sounding audio, and clean recordings faster than manual workflows.

For busy creators and managers, AI podcasting is a productivity multiplier: less time on routine editing, more time on content and distribution.

AI also helps scale formats that were previously expensive, such as serialized training episodes or frequent short-form shows. When you create a podcast with AI, you can test new formats quickly and learn what resonates with listeners.

The tools we used

• Google AI Studio — used to brainstorm topics, expand outlines into scripts, and generate initial voice drafts. Google AI Studio excels at turning prompts into conversational scripts for AI podcast creation.
   
• Adobe Podcast Studio — used for polishing, editing, noise removal, and final mastering. Adobe Podcast AI features make cleanup fast and predictable, so final episodes sound professional.

These podcast AI tools combine into a pipeline that moves you from concept to publishable audio quickly and reliably.

1. Idea and structure (10–20 minutes)
    

Start with a clear episode goal. Use Google AI Studio to generate topic ideas and an outline. Prompt examples: “Create a 5-point outline for a 20-minute episode about remote work habits.” This early step makes AI podcast creation repeatable and keeps episodes focused.
 

2. Draft the script (15–30 minutes)
    

Ask the tool to expand each outline point into a conversational script. Edit for voice and timing. Use short paragraphs and vocal cues like “pause” or “callout” so the synthesized voice sounds natural. This is how you take an AI draft and shape it into a script that works for audio.
 

3. Generate or record voice (5–30 minutes)
    

Options include using an AI voice via an AI podcast generator or recording a human host reading the AI-drafted script. Generated voices let non-performers produce professional audio fast. A human reader preserves personality. Many teams use a hybrid approach: AI for drafts, human for final reads.
 

4. Edit and enhance in Adobe Podcast Studio (15–45 minutes)
    

Import the audio into Adobe Podcast Studio for cleanup. Use the AI podcast editing features to remove noise, balance levels, and tighten pacing. The AI podcast editor often removes hours of manual cleanup with a few clicks, delivering broadcast-level quality.
 

5. Add music, transitions, and metadata (10–20 minutes)
    

Layer intro/outro music and subtle transitions. Add show notes, timestamps, and episode metadata. Use AI to generate suggested show notes and episode summaries, then refine them for voice and SEO. This step makes publishing and distribution faster.
 

6. Quality check and publish (10–15 minutes)
    

Listen end-to-end and validate any factual claims. Export to your hosting platform and publish. Use AI to draft social posts or episode descriptions to speed promotion. The whole process from script to publish can be compressed dramatically when you create a podcast with AI responsibly.

• Write for the ear. Keep sentences short. AI voices read literally, so conversational phrasing works best for creating a podcast that sounds natural. Short sentences let you control pacing and emphasis in AI podcasting.
   
• Use the hybrid approach. Combine human warmth with AI efficiency: have AI generate the first pass and a human re-record the final narration when possible. This gives you the best of AI podcast creation and human nuance.
   
• Iterate quickly. Make one change at a time and re-render a short clip to test. Iteration speeds improvements and reduces rework on full episodes. Rapid testing is a core benefit of AI podcast tools.
   
• Leverage AI for show notes. Use Google AI Studio to create episode summaries and keywords, then refine them for SEO. Automated show notes speed distribution and improve discoverability.
   
• Keep an edit log. Note timestamps of edits so you can reproduce or undo changes easily in Adobe Podcast Studio. This makes collaborative AI podcast editing more efficient.

These practical tips help you get the best results from an AI podcast generator and an AI podcast editor.

• Noise reduction and cleanup with a few clicks. Adobe Podcast AI removes hiss and room tone, so you do not need hours of manual processing. This is one of the biggest time-savers in AI podcast editing.
   
• Multitrack editing for layering music and voice. You can arrange segments, add stingers, and adjust levels quickly. Multitrack workflows make it simple to polish episodes for release.
   
• Intelligent leveling and mastering. Adobe’s tools help produce consistent loudness and tone across episodes. That consistency matters when you publish regularly and want a professional sound.
   

Using an AI podcast editor like Adobe Podcast Studio reduces the time between recording and publication while maintaining high fidelity.

Use cases and examples

• Solo thought leadership episodes where AI drafts and a host polishes the final read. This is a fast way to publish thought pieces without a heavy production team.
   
• Interview-style shows: use AI to generate questions, summarize guest points, and produce show notes. AI speeds prep and follow-up so you can book more interviews.
   
• Internal comms or training: produce short explainer episodes fast with minimal staff. AI podcasting makes teams’ knowledge sharing more cost-effective and consistent.
   

These AI podcast creation examples illustrate how versatile the workflow is and why many organizations choose podcast AI tools.

Common pitfalls and how to avoid them

• Over-reliance on AI voice. If the voice lacks warmth, use the AI draft as a teleprompter for a human read. Human inflection often improves listener engagement.
   
• Fact drift. Always verify factual claims before publishing. AI can invent plausible but incorrect details. A quick fact check prevents reputational issues.
   
• Monotony. Add human inflection, pauses, and emphasis to avoid robotic delivery. Small performance edits make a big difference in listener retention.
   

Address these, and your AI-driven episodes will feel professional and trustworthy.

• Script reviewed for clarity and factual accuracy. Make sure every claim is verifiable.
   
• Voice pass checked for tone and pacing. Confirm the narration matches your intended style.
   
• Noise and levels cleaned in Adobe Podcast Studio. Export a test MP3 and listen on headphones.
   
• Intro/outro music added, with rights cleared. Licensed music avoids takedown risks.
   
• Show notes and timestamps generated and edited. Use AI to draft, then refine manually.
   
• Final listen and export to hosting. Publish and schedule social posts created from AI summaries.
   

This checklist captures the exact, practical steps shown in the webinar and helps you master AI podcast editing workflows.

Does AI replace podcast producers?

No. AI accelerates production and handles routine tasks, but producers still make editorial choices, set tone, and ensure ethical use. AI podcast tools amplify human creativity rather than replace it. Producers are still needed to set strategy, craft interviews, and ensure quality.

Ready to turn these skills into a credential? Earn the GSDC Certified AI Tool Expert to get hands-on practice and prove your AI podcasting ability.

The session demonstrated that the creation of a podcast with AI has become an applicable skill. 

Scripting and generation can also be powered by Google AI Studio, and pro editing can be done in Adobe Podcast Studio, enabling creators to make high-quality audio faster than ever. 

AI can be used to accelerate the first draft, and human judgment is used to refine the final output.

In case you would like a one-page template of prompts, script set-up, and export options with the webinar demonstration, I can create a toolkit that is ready to use so that you can publish your first episode of the AI-assisted one this week.