Google drops $25 fee for private AI Studio apps, diverging from Apple's stricter review policies

Google will allow any adult with a Google account to publish privately listed Android applications built in its AI Studio without purchasing a paid developer account. This change removes the traditional financial barrier to entry for casual developers using generative tools. According to The Next Web, these applications remain invisible to public search and recommendation algorithms.

The risk

The primary concern involves the security of code generated by artificial intelligence. Last year, AI-generated code passed Veracode’s security tests only 56% of the time when using raw models without additional guardrails. Specific vulnerabilities such as cross-site scripting and log injection were present in 15% and 12% of tests, respectively. Google states that AI Studio includes its own internal checks to mitigate these issues before publication.

Who is exposed

This policy applies to individuals over the age of 18 who possess a standard Google account. The apps are privately listed, meaning they do not surface in general user searches. Sam Bright, who leads Google Play and its developer ecosystem, demonstrated the feature with a family sports tracker app. This tool managed shared expenses for jersey costs, umpire fees, and post-game meals across fifteen families.

Cost and compliance

Google previously charged a one-time fee of $25 for a developer account. Apple charges an annual fee of $99 for its platform. Both companies traditionally review new submissions before release. Apple has recently tightened its approach, removing apps that alter behavior after passing review. Consequently, Apple’s approval times increased from a couple of days to several weeks by March, blocking updates from platforms like Replit and Vibecode.

What should you do?

Teams should verify whether any internal tools rely on AI-generated code hosted on standard accounts. Review the privacy settings of any privately listed applications to ensure they remain inaccessible to unintended users. Monitor the app’s behavior post-deployment, as automated code may contain latent vulnerabilities that bypass initial checks.

The background in plain language

Software distribution platforms traditionally act as gatekeepers, reviewing code before it reaches users. This process aims to catch malicious or broken software. Generative AI lowers the barrier to creating applications, allowing non-experts to build tools quickly. However, this speed can introduce security flaws that human reviewers might miss. Platforms must balance accessibility with safety, often adjusting fees and review processes to manage the volume and quality of incoming software.

What to do and how to stay safe

• Verify that any AI-generated applications are set to private listing to prevent unintended public exposure.
• Review the permissions requested by these apps to ensure they align with their stated functionality.
• Monitor for unusual network activity or data usage from applications built with generative tools.
• Wait for official vendor updates or patches before deploying AI-generated code to production environments.

Step-by-step guide: Mobile Security Architecture: 8 Practices for Device Integrity

General security guidance from the Vector Tribune newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

Is there a fee to publish these AI Studio apps?

No, Google has removed the $25 developer account fee for privately listed apps built in AI Studio.

Do these apps appear in Play Store search results?

No, these applications are privately listed and do not appear in