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What Should We Expect From Veo 4?

The world has high expectations of Veo 4, and with good reason. Google DeepMind’s Veo made a big splash in the world of AI-generated video when it first emerged, setting a new bar for text-to-video quality.

For the first time, people could generate video clips that actually looked realistic and human, rather than the robotic and obviously fake AI footage of previous years.

But with competition heating up from tools like Pika, Runway and creator-focused platforms like Argil, Veo still has some serious catching up to do.

In this article, we’ll look at the strengths and weaknesses of the current Veo model and what the next version (Veo 4) needs to fix.

Veo 3: What Does the Tool Get Right?

Veo 4 is rumored to be released later this year. So while we’re waiting for Google DeepMind’s next iteration of the popular video generation tool, let’s look at what Veo 3 got right, before delving into where it went wrong.

Compared to Veo 2, the jump in quality when Veo 3 dropped was dramatic. For the first time, we saw full HD sequences, better motion, realistic lighting and consistent depth across videos. The results actually looked professional, and for once, you could show someone an AI-generated clip and they wouldn’t instantly know it wasn’t real footage.

Veo 3 also had a real understanding of natural language. You could type something like “a drone shot of surfers at sunset with golden hour lighting,” and it would capture the overall vibe as well as the setting. That intuitive grasp of language and composition made Veo feel surprisingly human and unlike anything the video generation world had really encountered before.

Behind the scenes, DeepMind’s diffusion-based architecture handled smooth motion and frame consistency better than most competitors. Runway’s Gen-3 and Pika 1.5 were good, but Veo 3 usually had the edge when it came to realism.

Its best use cases were ad concepts, storyboards and previsualization for marketing campaigns and filmmakers. If you were trying to show how a scene might look before filming, Veo 3 was a great shortcut.

However, as soon as people tried to use Veo for real creative work with fast turnarounds or multiple drafts, the cracks started to show. This is the main issue that Veo 4 needs to fix if it’s going to have broad appeal.

What Did Veo 3 Get Wrong?

Before Veo 4 launches, hopefully in December, it’s worth reflecting on what the last version of Veo got so wrong, especially for content creators.

The first issue was lack of control. With Veo 3, you couldn’t direct characters, change movement paths or adjust camera angles. You would just type in a prompt, cross your fingers and hope it came out close to what you pictured.

Then there was speed. Veo 3 took several minutes to render each clip, all processed in the cloud with limited previews. You couldn’t quickly tweak or iterate – instead, it was basically “try, wait, adjust, wait again,” which just doesn’t fit with how creators work now.

Personalization was another problem. You couldn’t add your own face, voice or style to Veo videos. Every output looked generic, which made it useless for creators who need personality driven brand building and consistent style.

And if you wanted to create a multi-scene video or a series with recurring characters, Veo couldn’t deliver this either. Each clip was standalone, with no continuity and no story flow.

Finally, Veo 3 also failed to integrate into professional editing pipelines. There was no proper API or timeline control, so it felt like a closed box rather than part of a creative toolkit.

In the end, most people saw Veo 3 as an amazing demo – great for showcasing what AI could do – but not something you’d use for your daily content. That’s the biggest gap Veo 4 has to close, and it’s one that Argil (a tool built for content creators) is already filling.

How Can Veo 4 Improve on Veo 3?

If Veo 4 wants to make an impact, it needs to make the shift from “impressive technology” to “useful creative partner.” Here’s what that means in practice:

Real-Time Rendering

Creators can’t wait minutes for every clip. Veo 4 needs near-instant generation and previewing if it’s going to be an everyday tool for modern creators.

Personal Avatars and Voice

People want to use their own face, voice and style, especially influencers and content creators. The generic characters of Veo 3 were fine for testing, but not for anyone building a personal brand – this is where Veo 4 needs to up their game.

Scene Consistency

Veo 4 should understand that multiple clips belong to the same project and keep characters, lighting,and tone consistent across videos. This is really important for narrative-driven content.

Interactive Editing

Instead of “generate and hope” creators should be able to work with the AI to co-create something. Imagine adjusting a shot or rewriting a scene live, with instant previews. Tools like Argil already do this, blending text, visuals and voice prompts into one creative workflow.

Multi-Platform Output

Veo 4 should automatically adapt formats and aspect ratios, so you don’t have to redo your videos for each platform.

Safety and Transparency

As AI video goes mainstream, Veo 4 needs better watermarking and moderation tools. Balancing creativity with responsibility will be key here.

Is Argil the Veo 4 for Content Creators?

While everyone’s waiting for Veo 4, Argil is already building something better.

Argil lets creators generate videos of themselves using hyper-realistic AI avatars, fully edited and optimized for socials in under 10 minutes.

All you need to do is upload a short clip of yourself speaking, and it builds an AI version of you that looks and sounds real, allowing you to connect with your followers without having to appear on camera or spend hours editing footage.

While Veo 4 is a simple video generation tool, Argil is a content co-pilot that allows you to brainstorm ideas, draft scripts and refine short videos with AI editing and suggestions.

Argil’s real-time rendering also means you can create, edit, and publish in a fraction of the time – plus, everything happens in one place – from captions to visual transitions, B-roll and even multilingual translation, allowing you to cross-publish across platforms with minimal effort.

Argil is built specifically for creators, to be fast, flexible social-media-ready. To get started with your first video and shift from passive video generation to strategic automated workflows, sign up today.

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