Google unveils their new video generating AI, Veo 3 and Flow
[Photo Credit to ChatGPT]
On May 20, 2025, Google revealed their two new artificial intelligence video tools, Veo 3 and Flow, at its I/O developer conference, marking a new chapter in generative AI media.
Veo 3 is the latest text-to-video generation model developed by Google DeepMind.
Unlike its predecessor, which was limited to generating video, Veo 3 can now also produce audio, including dialogue, ambient sounds, and sound effects.
This advancement means that now anyone with a great story can create their own movie without buying expensive video recording tools, learning editing and CGI, and voice actors.
The model features lip-syncing between voice and visuals, physics-based realism, and detailed rendering according to prompts.
The newly introduced Flow is a storyboard-based video creation tool that integrates Veo 3, the image generation model Imagen, and the large language model Gemini.
According to Google, users can create and sequence scenes using text prompts, camera direction instruction cues and image references.
It is capable of generating a cinematic clip even with just a single line of description.
Both tools are available through a subscription-based Google AI Pro/Ultra service.
The Pro plan is based on Veo 2 and allows up to 100 generations per month.
The Ultra plan offers early access to Veo 3, 1080p video output, advanced camera control, and synchronised audio generation.
In the U.S., the Ultra plan is priced at $249.99 per month.
While this pricing may not be affordable for individuals outside the media industry, but for those who are working in the industry, it is a game-changing tool that can replace humans for only $250.
However, the ethical risks posed by these technologies have also sparked significant concern, as is often the case with AI advancements.
Time warned that Veo 3 could be used to create highly realistic manipulated videos depicting riots or election fraud, and although it includes prompt blocking and digital watermarking, these safeguards are seen as insufficient.
This has been a major issue since generative AI came out. As seniors lack the ability to determine AI-generated content, they easily get scammed.
And now, the potential for manipulation will not only be limited to seniors but also to younger generations as well.
Tom’s Guide, Wired, and others outlets also have echoed growing fears over the difficulty of distinguishing real from fake content, raising calls for stronger regulation.
These tools could disrupt the competitiveness of traditional studios and reshape the content market by reducing production costs and enabling anyone to create high-quality films.
As many people lost their jobs within a few years because of the rapid growth of AI, people working in the editing industry are showing worries about whether they will be replaced by AI.
In conclusion, Veo 3 and Flow symbolise the commercialisation of AI-powered video production.
From visual realism and audio synchronisation to prompt-driven structuring and accessibility, they deliver a transformative user experience far beyond existing tools.
Yet, they also bring concerns such as the declining content trust and regulatory gaps, highlighting the need for ethical debates and governance to keep pace with technological progress.
Whether AI-generated video becomes mainstream or is curtailed by legal and societal scrutiny will ultimately depend on responsible usage and effective regulation.

- Chaemoon Han / Grade 10
- American School Dhahran