OnePointFive·Studio

Field Notes / 2026-10-19

AI Video for Product Launches That Actually Works

A practical look at AI video for product launches, what it replaces, what still needs a camera, and what drives project scope.

OnePointFive builds launch videos using AI tools alongside traditional production. This note covers where AI genuinely speeds things up and where a camera crew still matters.

Where AI Shortens the Timeline

Product launches often need the same asset in five formats. A 15-second vertical cut for social. A 30-second version for a landing page. A silent loop for a trade show screen. AI tools handle reformatting and variation fast. One source edit can become a dozen outputs without re-shooting anything.

Script-to-visual AI tools also help with early concepting. A founder can describe a product feature and get a rough visual sense of pacing before a single camera rolls. This cuts down on revision rounds during the planning phase.

Where a Camera Still Wins

AI-generated video struggles with specific textures. The exact matte finish of a new phone case. The precise pour pattern of a liquid product. Hands interacting with a physical object in a believable way. For launches where the product itself is the hero, real footage holds up better under scrutiny.

Our approach at launches is usually hybrid. We shoot the product with a controlled lighting setup, often a single key light and a fill card to keep surface detail accurate. AI tools then handle motion graphics, voiceover variations, and format resizing around that footage.

What Drives the Scope of a Launch Video

Three factors tend to set the size of a launch project.

Number of deliverables. A launch with one hero video takes less work than a launch needing six platform-specific cuts, each with different aspect ratios and pacing.

Product complexity. A tabletop product shot in a studio is simpler than a product that requires in-use footage, like a wearable device filmed during actual movement.

Turnaround window. Compressed timelines mean parallel workflows instead of sequential ones. That changes crew size and how much work AI tools take on versus a human editor.

We ask for the launch date and platform list upfront because those two details set the format count, the shot list, and how much of the edit AI tools can carry.

A Common Launch Structure

A common package is a 60-second anchor video plus a set of short cuts for paid social. The anchor video usually includes a brief interview or voiceover explaining the product. The short cuts strip that down to a single visual hook, often the first three seconds of the anchor video reworked with new pacing.

AI tools generate the first pass of those short cuts. A human editor then adjusts timing against the beat of any music track, since AI resizing tools often misjudge where a cut should land relative to a beat drop.

Working With Live Elements

Some launches include a live event component, a press preview or an in-person reveal. We capture that footage with the same crew setup used for the studio shoot, then route select clips into the AI-assisted post pipeline alongside the planned deliverables. The live footage adds authenticity that fully AI-generated content doesn't have yet.

For companies filming within New York City, our AI Video Production in NYC page covers hybrid projects that shoot the core live and extend it with AI.

What to Prepare Before Reaching Out

Useful details to bring to a first call: the launch date, the primary platform for distribution, whether the product will be shot in a studio or in the field, and how many format variations are needed. Clients who bring reference videos, even rough ones from competitors, speed up that first call considerably.

Clients include Moët Hennessy USA and TAO Group.

Reach out through Contact with your launch date and deliverable list. We'll tell you which parts of the process suit AI tools and which need a camera in the room.