Gemini Omni: Realistic Video AI and Implications for SMEs

What has changed with Gemini Omni

On May 23, 2026, Google released Gemini Omni, its AI model defined anything-to-anything. In practice, the system accepts any combination of input — text, image, audio, video — and returns output in any format. Thus, the barrier between different content modalities has effectively disappeared.

According to hands-on published by The Verge, the model can generate realistic videos from static images with surprisingly little technical effort. In fact, tests conducted by the editorial team show convincing results even on complex subjects, without requiring advanced post-production skills.

This marks a paradigm shift from previous models. Furthermore, the quality of the generated video surpasses what was seen just a few months ago with similar tools. As a result, the line between authentic and synthetic content becomes increasingly difficult to identify with the naked eye.

Multimodal Architecture: How it Really Works

Gemini Omni is not simply an incremental update. Instead, it represents a profound overhaul of the model's architecture. Google has built a native multimodal system, where the different input and output modalities are integrated right from the training phase.

Specifically, the model does not first convert text to an image and then the image to video through separate pipelines. Therefore, the process is more coherent and produces output with fewer visual artifacts. This approach also reduces overall latency in generation.

To further explore the technical evolution of multimodal models, it's useful to consult the analyses of MIT Technology Review, who has documented the trajectory of these systems in recent years. Similarly, reports from Gartner on Generative AI provide a framework for enterprise adoption expectations.

Immediate impact on digital content production

For Italian SMEs, the first practical implication concerns content production. Today, generating a credible promotional video requires fewer resources than it did last year. Therefore, production costs for visual campaigns are potentially significantly reduced.

However, this democratization brings with it a specific risk. Indeed, if the access threshold is lowered for everyone, competitors—and malicious actors—can also produce high-quality content with ease. Consequently, brand differentiation can no longer be based solely on the technical quality of the video.

We of SHM Studio We observe that the most astute companies are already shifting their focus to narrative coherence and perceived authenticity. In other words, value is shifting from production to strategy. For this reason, a digital marketing strategy well-structured becomes even more relevant in this context.

The deepfake knot: a concrete reputational risk

Gemini Omni amplifies an existing issue in the digital landscape: corporate deepfakes. Therefore, it is necessary to address this topic with clarity, without alarmism but also without underestimation.

A synthetic video showing a business executive making statements they never made can now be produced quickly. Furthermore, the quality achieved by Gemini Omni makes it harder to recognize at first glance. Therefore, SMEs must consider this scenario in their reputational risk management.

Mitigation measures include actively monitoring brand mentions, defining internal verification protocols, and transparent communication with stakeholders and customers. In particular, those operating in regulated sectors — finance, health, legal — must pay attention to regulatory implications. The organic visibility A strong brand on Google can also act as a reputational shield, as a solid positioning makes it more difficult for false content to spread virally.

What No One Tells You: The Problem of Scalable Trust

There's one aspect that rarely emerges in the public debate about these tools. The real issue isn't the single instance of fake content. Instead, it's the progressive erosion of trust in any visual content.

When the public can no longer distinguish between real and synthetic, the adaptive response is generalized distrust. Thus, even authentic content is viewed with suspicion. This mechanism disproportionately affects smaller brands, which lack the name recognition to be considered credible by default.

For this reason, investing in Authoritative copywriting and verifiable content becomes a strategic lever. Similarly, presence on channels such as LinkedIn — where the professional context reduces the virality of manipulated content — offers an additional reputational safeguard.

What to do now: Operational guidance for SMEs

First of all, it is useful to map the most exposed digital touchpoints. In particular, video channels – YouTube, Instagram Reels, TikTok – are where the risk of impersonation is highest. Therefore, it is advisable to verify that you have verified control of the official accounts.

Subsequently, it is advisable to define an internal policy on the use of generative AI. This policy should establish which tools are approved, in which contexts, and with what review processes. Furthermore, it should include guidelines on disclosure, meaning when and how to communicate that content has been produced with AI support.

On the opportunities front, SMEs can leverage Gemini Omni and similar tools to accelerate low-risk content production: explainer videos, product tutorials, animated presentations. However, it is advisable to maintain human supervision over the creative process. AI services what we offer integrate this supervision in a structured way.

Finally, those who manage advertising campaigns should evaluate the impact of these tools on ad perception. Google Ads campaigns those utilizing generative video assets could benefit from reduced production costs, but require accurate brand consistency checks.

Outlook: Where are we headed in the 2027-2028 biennium

Projections for the next two years indicate a further acceleration. According to McKinsey Global Institute, The adoption of generative AI tools in marketing and communication functions will grow steadily until 2028. Therefore, those who do not develop internal skills today risk ending up structurally behind.

Conversely, companies that integrate these tools with clear governance will be able to benefit from concrete competitive advantages: production speed, content customization, and reduced operating costs. Therefore, the question is not whether to adopt generative AI, but how to do so responsibly.

For Italian SMEs, the most effective path is through specialized consulting that evaluates the company's specific context. We at SHM Studio we support companies in this process, from strategy definition to tool selection, up to internal team training. Those who wish to learn more can visit the section web services, explore our Analysis of the blog or contact us directly at Contact Us.