Field Notes / 2026-07-27
AI Video Production for Brands in NYC
OnePointFive Studio works with brand teams in New York who need video content on tighter timelines than traditional production allows. AI-assisted workflows now sit alongside camera-based shoots for a lot of brand work. This post covers how that actually functions, not just why it exists.
What AI production replaces, and what it doesn't
AI tools speed up rough cuts, background generation, variant creation, and format resizing. They don't replace a director making decisions on set. For most brand projects, we still shoot core footage with a small crew. Then we use AI tools to extend that footage into more deliverables than a traditional edit budget would allow. A single half-day shoot can become fifteen vertical cuts, three horizontal versions, and a set of static frames pulled for paid social. That ratio is the actual value: fewer shoot days, more usable output.
A typical brand engagement
A beverage brand launching a product in New York might need content for Instagram, a retail screen loop, and a paid media test. All of that can come from one capture day. We plan the shoot around modular clips. Each beat runs 6-8 seconds. Those beats get recut into different lengths without reshooting. AI tools handle the reframing from 16:9 to 9:16. They also generate alternate color treatments for A/B testing and clean up audio across all versions. The client gets a working set within days, not weeks, because the heavy lift happens in post, not on set.
Where AI actually saves time
Reframing and resizing used to take an editor a full day per platform set. AI reframing tools now handle a first pass in under an hour. A human editor then refines crop points on key shots. Background replacement and cleanup also move faster. That matters most for retail or event footage shot in cluttered environments. What doesn't speed up: strategy, casting, and creative direction. Those stay manual because they require judgment, not pattern matching.
Cost factors specific to AI-assisted work
The number of final deliverables matters more than shoot length. Each format and aspect ratio adds a separate editing pass, even when the source footage is identical. Licensing for AI tools varies by platform and by how much generative work is involved versus assistive editing. Projects that need custom-trained visual styles cost more than ones using off-the-shelf tools. Turnaround speed also affects cost. Compressing a two-week post schedule into four days changes staffing needs and often requires more than one editor working in parallel.
Where this fits with live event work
Brands running activations in New York often want same-day recap content. Our Event Video Production in NYC crews capture the event. AI tools then help cut a 60-second recap while the footage is still fresh. That recap can go out within hours of the event ending, instead of the week a fully manual edit usually takes. The AI pass handles pacing and rough sequencing. An editor finishes the cut with music and graphics.
Restaurant and hospitality applications
Restaurant clients use a similar model for recurring content needs. A monthly shoot covering new menu items, ambiance, and staff moments gets processed into weekly social posts using AI-assisted editing. This replaces commissioning a new shoot every time content runs low. See our Restaurant Video Production in NYC work for how that cadence plays out over a longer engagement.
Clients include Moët Hennessy USA and TAO Group.
What to bring to a first conversation
Before reaching out, it helps to know three things: how many platforms need content, whether footage already exists, and the turnaround window. A brand with existing raw footage and a two-week window has a different scope than one starting from zero. Zero footage with a 48-hour deadline means fewer AI passes and more time on the initial edit.
Reach out through Contact to map out deliverables and timeline for your next project.