Veo 3: AI Video That Speaks

Google DeepMind has released Veo 3, a new AI model that creates short videos from text prompts and, for the first time, adds native audio (voices, sound effects, background audio) to those videos. This was announced at Google I/O 2025 last week as one of several major upgrade to their generative AI tools.

Veo 3 can produce a complete video scene with visuals and synchronized sound in one step. This is a key differentiator – until now, AI-generated videos were essentially silent, limiting their usefulness. With Veo 3, we’re seeing AI move closer to producing “ready-to-watch” video content and for short‑form channels such as TikTok, Reels, or LinkedIn, the results are already polished enough to publish with minimal touch‑up.

Below are the headline capabilities that matter to communications leaders, followed by a brief overview of the governance issues to keep in view as you experiment.

- All‑in‑one generation: One prompt yields 4K visuals and fully synchronized audio (dialogue, SFX, and background atmosphere), eliminating the need for separate dubbing.

- High prompt fidelity: Improved physics, lighting, and lip‑sync deliver scenes that closely match scripted intent.

- Edit‑ready output: The clips integrate seamlessly into Google’s Flow workspace for stitching, camera moves, and character reuse across shots. (Flow is a new generative AI editing tool, also announced last week.)

While Veo 3’s output quality is strong enough for early adopters to publish short‑form pieces, there are still many watch outs. Celebrity likenesses, trademarks, and copyrighted elements remain blocked by design, and every clip carries Google’s invisible SynthID watermark so audiences and regulators can confirm AI origin.

For communications teams producing regular video content, Veo 3 could significantly reduce production timelines and costs in some scenarios. We’ll continue to watch how this evolves (and test internally) to understand its current potential and role in the marketing mix.