Field Notes / 2026-08-10
What AI Video Production Means in Practice
At OnePointFive Studio, we get this question weekly. AI video production is not one tool. It is a set of methods applied at different stages of a shoot or an edit. Some clients want AI involved from the first storyboard. Others only want it for a small fix in post.
The stages where AI actually applies
Pre-production is the first place AI shows up. Script drafts, shot lists, and mood boards can be generated in minutes instead of hours. This does not replace a director. It gives the director a faster starting point.
During production, AI tools assist with framing suggestions and real-time transcription on set. A single camera operator can track dialogue accuracy without a separate script supervisor on smaller shoots.
Post-production is where AI does the most visible work. Tools handle rough cuts and color matching across clips. They also handle noise reduction and automated captioning. A 90-second brand video once took three days to rough-cut. Now a first draft can be ready in under a day, depending on footage volume.
What AI does not replace
A colorist still checks skin tone consistency across five lighting setups in one restaurant shoot. A producer still runs a live event with three cameras and one chance to catch the moment.
At OnePointFive Studio, our AI production work sits alongside traditional crews, not instead of them. A shoot might use AI for transcription and rough assembly. The final cut still goes to an editor for tone and rhythm. That handoff is where most of the actual craft happens.
A concrete example: turnaround on a multi-camera event
Say a client books a two-camera setup for a four-hour launch event. Traditional editing for a 3-minute recap might take five to seven business days. Adding AI-assisted logging and rough cuts can cut that to two or three days. The editor spends less time scrubbing raw footage for usable moments.
This matters most for clients who need same-week delivery for social platforms. It matters less for a brand film that will run for a year and can afford a slower edit.
Cost factors worth understanding
Cost in AI video production depends on a few real variables. Footage volume is one: a four-hour event generates far more raw material than a 20-minute interview. Number of camera angles is another, since each additional angle adds sync and color work even with AI assistance.
The complexity of the final deliverable also matters. A single 60-second cutdown costs less than five platform-specific versions with different aspect ratios and captions. AI tools reduce labor hours on repetitive tasks like reformatting, but a human still reviews every version before delivery.
Custom AI-generated visuals, such as synthetic B-roll or generative backgrounds, add a separate layer of cost tied to rendering time and revision rounds.
Where this fits for restaurants and events
Restaurant clients often use AI production for short-form content: a dish reveal, a chef interview, a room ambiance loop. These are short shoots with fast turnaround needs. Our restaurant video production in NYC work usually falls into this category.
Event clients have different needs. A launch party or brand activation needs live coverage first, then a fast recap edit. This work combines multi-camera crews with AI-assisted post to hit next-day or same-week deadlines.
Clients include Moët Hennessy USA and TAO Group.
How to think about it before booking
Ask how many camera angles and how many hours of footage will exist. Ask whether the deliverable needs multiple versions for different platforms.
If you have a project, reach out through contact to talk through which parts fit AI-assisted work.