AI video vs stock footage — what each one is actually good at

Most of these arguments are fought on the wrong ground. People compare a price per clip against a price per license and declare a winner, when what actually decides a real job is whether the shot you need exists at all. Here is the comparison the way a production person would run it — the axes that change the answer, and an honest list of the work where a stock library is still the correct tool.

Specificity is the axis that decides most jobs

A stock library is a catalog of shots that already exist. That is its strength and its ceiling. You can find a woman drinking coffee in a bright kitchen. You cannot find her drinking from your cup, with your packaging on the counter, in your brand's palette, at the angle the storyboard asked for.

Generated video starts from the other end: you describe the shot and it gets rendered. The nearest-match problem disappears, and so does the compromise that follows it — the one where the edit quietly reshapes itself around what the library had.

The practical version on eroq is that your product becomes a reusable reference. Photograph it once, save it as an Element, and every render can be told to include it. Same for a face — a Character carries reference photos so the same person appears across a set.

A prompt that works for this kind of shot reads as one paragraph:

A ceramic pour-over kettle sits on a pale oak counter beside a bag of coffee, steam curling into low morning light as a hand lifts the kettle and begins to pour. Slow push-in, 35mm film, shallow depth of field, warm film palette, window light from the left, calm tempo.

That shot does not exist in any catalog, because it is about your kettle.

Licensing is a different shape, not simply cheaper

Stock is licensed, and licenses have terms — territory, duration, broadcast versus web, sometimes a cap on impressions. The terms are usually fine, and they are always someone else's terms. A license is also non-exclusive: the same clip can appear in a competitor's ad next quarter, which for a hero shot is a real risk and for a cutaway is nothing at all.

On eroq, a commercial license is part of what a plan buys — it is listed on the pricing page — and every render is saved privately to your library with its full recipe until you publish it. What you give up is provenance: a generated clip is not documentary evidence of anything.

Revision cost is where the money actually is

This is the axis most comparisons skip, and it is usually the biggest number on the job.

With a library, a revision is a new search. If the note is "same shot, but the jacket should be navy", you find another clip, re-cut around it, or tell the client no.

With generation, a revision is a re-render with a price you can compute. A 5-second clip on Seedance 1.0 Lite is 60 credits. So:

• Change the jacket in shot 7 — 60 credits, about 49 cents at the Creator plan rate.
• Re-render all twelve shots of a set with a new palette — 12 × 60 = 720 credits, about $5.88.
• Two takes of all twelve while you are still deciding — 24 × 60 = 1,440 credits, about $11.76.

Finishing changes the multiplier, not the shape. The same twelve shots at 5 seconds on Kling 2.5 Turbo at 1080p are 12 × 120 = 1,440 credits. The usual workflow is to draft cheap and finish expensive — 3-second Lite drafts are 36 credits each, so blocking out twelve shots costs 432 credits before anyone commits. The full per-minute arithmetic is in how much AI video costs.

The point is not that 49 cents is small. It is that a revision has a number at all, which lets you scope revision rounds in a contract instead of absorbing them.

Consistency across a set

One stock clip is easy. Eight that look like they came from the same shoot is a sourcing problem — different cameras, grades, rooms, talent.

Generated sets have the opposite property: consistency is a setting. The director's rack folds film type, era, lens, aperture, palette and lighting into every render, so a look is applied rather than hunted. Characters hold a face, Elements hold a place or object, and the Seedance family honors a seed, so the same prompt and seed reproduces the same take. The method is in consistent characters in AI video.

Where generation loses is within a shot. Fine detail wanders between takes — hands, small text, the exact shape of a logo. Set dressing that must be pixel-identical across eight shots is still easier to shoot once and reuse.

Where stock footage still wins

Not a concession list, a decision list. Use a library when:

• The shot must be literally true. Your real storefront, your real team, a real event. A generated version of a true thing is a false claim, whatever the intent.
• You need real, identifiable people. Generating real identifiable people without consent is not allowed on eroq and is a poor idea everywhere else. Model-released stock exists precisely to solve this.
• The subject is a real place. A recognizable skyline, a named landmark, a particular stadium. Generation gives you a plausible version, not that one.
• You need a long unbroken take. Clips run from 3 to 30 seconds depending on engine, and your plan caps the length — 10 seconds free, 15 on Hobby, 20 on Creator, 30 on Studio and up. A 45-second continuous shot is filmed, not rendered.
• The budget is one cutaway. For a single generic b-roll shot in an otherwise finished edit, sourcing beats setting up a render.

One workflow limit worth saying plainly: eroq renders clips, it does not edit them. No trimming, transitions or grading in the studio, and no upscaler. You export and assemble in Premiere or After Effects, exactly as you would with licensed footage.

The test that settles it in an afternoon

Pick the one shot in your edit you could not find. Write it as a single paragraph naming subject, motion, camera, light and mood, and render it twice at 5 seconds on a cheap engine — 120 credits total. If the two takes tell you the shot is reachable, generation is the right tool for that slot. If they tell you it needs a real place or a real person, you have your answer for the price of a coffee, and you go license it.

Most real jobs end up mixed: licensed plates for the places that exist, generated shots for the ones that do not, cut together in the same timeline. That is not a compromise, it is sourcing.

Open the video studio and price your hardest shot, or see how this plays out on a real brief in product videos.

FAQ

Is AI video cheaper than stock footage?

Per asset it usually is, but that is the wrong comparison. The number that moves a budget is revision cost — a re-render has a price you can quote, while a stock revision means sourcing a new clip or refusing the note. Price a full set with two takes, not one clip against one license.

Can I use AI video commercially?

Yes. A commercial license is part of what an eroq plan buys, and your renders stay private in your library unless you publish them. The limits are content limits rather than licensing ones — no real identifiable people without consent, and nothing that presents a generated shot as a record of something that happened.

How long can an AI video clip be?

Between 3 and 30 seconds, depending on the engine and your plan. Free accounts cap at 10 seconds, Hobby at 15, Creator at 20, and Studio and above at 30. Longer sequences are assembled from several clips rather than rendered in one pass.

Should I replace my stock subscription with AI video?

Usually not entirely. Keep a library for real places, real people and shots that must be literally true, and generate the specific ones the catalog never had. Mixed sourcing in one timeline is the normal outcome, not a fallback.