- What's changed: Google Vids becomes an AI production studio
- Gemini Omni at the center: how video generation works
- Immediate impact on B2B and retail video marketing
- Still a work in progress: limits and unresolved issues
- Where does Google Vids fit into the landscape of AI tools for content
- What to do now: three operational directions for marketing managers
- Outlook: where this trajectory leads in 2027-2028
Google announced an unprecedented feature for Google Vids : users can now create videos in which a digital version of themselves, generated by artificial intelligence, appears. Furthermore, the platform integrates AI-based tools Gemini Omni to generate and edit videos from text prompts and reference images. This is a significant update for those producing video content in a corporate setting.
Therefore, the line between traditional video production and creative automation blurs even further. For marketing managers in SMEs and mid-market companies, this innovation opens up concrete scenarios: product presentations, training videos, and content for social media channels can be created without a crew, without a studio, and without extensive post-production times. Consequently, production costs decrease, and publishing frequency can increase.
However, adopting these tools requires a solid editorial strategy. A convincing avatar doesn't replace a clear message. At SHM Studio, we closely monitor the evolution of AI tools for content production, evaluating which ones to integrate into our workflows. Digital marketing of our clients. Finally, it's crucial to understand where these videos fit into the funnel and how to measure them correctly.
What's changed: Google Vids becomes an AI production studio
On July 16, 2026, Google announced a substantial update to Google Vids , its application for video creation integrated into the Workspace ecosystem. The main novelty concerns the custom AI avatars : each user can generate a digital version of themselves and insert it into their corporate videos. Furthermore, the platform introduces AI-powered video generation and editing tools. Gemini Omni , Google's multimodal model, which responds to text prompts and reference images.
The news was reported by TechCrunch and confirms a clear direction: Google wants to make video production accessible to any business collaborator, regardless of technical skills. Therefore, Google Vids is no longer just a presentation tool. It becomes, in all respects, an AI-assisted creative production environment.
Specifically, the avatar function stands out from existing market solutions because it's native to the Google Workspace ecosystem. Consequently, integration with Google Drive, Docs, and Meet further lowers the adoption barrier for companies already using the Google suite.
Gemini Omni at the center: how video generation works
The engine powering the new Google Vids features is Gemini Omni , the most advanced version of Google's multimodal model. This system can process text, images, and audio simultaneously. Therefore, a user can describe a scene in words, attach a reference image, and get a video consistent with both inputs.
Similarly to what happens with tools like OpenAI's Sora , generation happens in minutes. However, Google Vids stands out for its direct integration with the user's identity: the avatar isn't a generic character, but a digital replica of the real face, trained on a set of images provided by the user themselves.
Additionally, editing functions allow for modifying already generated scenes, changing backgrounds, adjusting the tone of synthetic voices, and adding automatic subtitles in multiple languages. For this reason, the production workflow is reduced from days to hours, even for those who have never worked with professional video editing tools.
Immediate impact on B2B and retail video marketing
For marketing managers in B2B and retail companies, the implications are direct. First and foremost, the production cost of a corporate video drops drastically. No more actors, physical locations, or complex editing software are needed. Furthermore, large-scale customization becomes feasible: the same content can be adapted into different versions for different audience segments.
For example, a manufacturing company can create product presentation videos with its sales manager as an avatar, without organizing filming sessions. Similarly, a retailer can produce seasonal promotional content in a shorter time, maintaining brand consistency.
However, some strategic implications need to be considered. The proliferation of AI-generated video content increases market noise. Consequently, message quality and consistency with brand positioning become even more crucial. A well-made avatar doesn't compensate for communication that lacks value for the recipient.
At SHM Studio, when we work on digital marketing plans of our clients, we observe that video is already the format with the highest engagement rate on B2B channels. Therefore, tools like Google Vids can accelerate execution, but the editorial strategy remains the critical factor.
Still a work in progress: limits and unresolved issues
Despite this, there are aspects that deserve attention before adopting this technology on a large scale. The first concerns the transparency : should a video with an AI avatar be recognizable as such? European regulations on the AI Act, which came into force in 2025, impose disclosure obligations for synthetic content in certain contexts. Therefore, legal and compliance teams will need to be involved in defining internal policies.
The second aspect concerns the perceived quality . AI avatars have reached a high level of realism, but the risk of uncanny valley — that feeling of unease when faced with figures that are almost human but not quite convincing — has not yet been entirely overcome. According to research published by MIT Technology Review , public trust in AI-generated content varies significantly depending on the industry and context of use.
Finally, the management of biometric data is a sensitive topic. Training an avatar on your face involves collecting and processing personal data. Therefore, companies will need to review Google Workspace's data processing terms before enabling this feature for their employees.
Where does Google Vids fit into the landscape of AI tools for content
Google Vids does not operate in a vacuum. Tools like HeyGen , Synthesia and D-ID have offered similar features for at least two years. However, native integration with Google Workspace represents a significant competitive advantage for companies already operating on that platform. Furthermore, the bundled pricing with Workspace licenses reduces the need to evaluate third-party solutions.
According to the analyses of Gartner , by 2027, over 30% of corporate video content will be generated or co-generated by AI systems. Therefore, the window to build internal expertise on these tools is open, but not unlimited.
In this context, companies that rely on specialized partners for the AI consulting and for the digital marketing strategy are able to more quickly evaluate which tools to integrate and with what priority. Likewise, they can avoid adopting technologies before they are mature for use in professional contexts.
What to do now: three operational directions for marketing managers
Faced with this update, there are three concrete directions that marketing managers can explore immediately.
- Map priority use cases. Not all video formats benefit equally from AI avatars. Onboarding videos, corporate presentations, and product tutorials are the most suitable candidates. Conversely, content requiring perceived authenticity—like customer testimonials—remains more effective in its traditional form.
- Verify compatibility with company policies. Before enabling the feature, it's necessary to involve the IT, legal, and HR teams. In particular, companies with employees in the EU must evaluate the implications of the GDPR and the AI Act on the collection of biometric data.
- Integrate AI videos into the existing funnel. A video produced with Google Vids only makes sense if it's part of a coherent distribution strategy. Therefore, it's advisable to define in advance which channels it will be published on, with what frequency, and with what measurement KPIs. The LinkedIn campaigns and the activities of content marketing are contexts where personalized videos can generate a measurable impact.
Outlook: where this trajectory leads in 2027-2028
The introduction of AI avatars in Google Vids is a clear signal of the direction major tech players are heading. In the next 18-24 months, it's reasonable to expect this feature to become standard on platforms like Microsoft Clipchamp, integrated into Microsoft 365, and other business productivity tools.
Furthermore, avatar quality will continue to improve. Thus, the distinction between a studio-shot video and an AI-generated one will become less and less relevant visually. Consequently, the competitive edge will shift to the ability to produce content with a precise message, distributed through the right channels, at the right time.
For marketing teams that are building a structured content strategy , this is an opportunity to increase production frequency without proportionally increasing the budget. However, it requires a review of the creative workflow and internal skills. At SHM Studio, we support our clients on this journey, from evaluation of AI tools to the definition of editorial processes, up to the measurement of results through the distribution campaigns on the most relevant channels for their market.
Those who want to learn more about integrating these tools into their strategy can contact our team or explore the insights available on the SHM Studio blog .
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