AI explainer video: how to make one that holds up

An AI explainer video is an explainer where some or most visuals, and sometimes the voice or the presenter, are generated by AI tools instead of drawn or filmed from scratch. The format has not changed: it still has to make one idea clear in about a minute or two. What changes is how the pictures get made. This guide covers when AI makes sense for an explainer, how a hybrid workflow with human script and storyboard runs, and when classic 2D animation is the better choice.

What an AI explainer video actually is

The label covers three quite different things, and mixing them up leads to bad briefs.

• AI generated visuals. Illustrations, backgrounds or short clips created from prompts and reference images, then edited into a sequence.
• AI avatar or spokesperson. A synthetic presenter reads your script on screen. This is the AI spokesperson video, and the AI avatar explainer is the same idea inside a longer explainer structure.
• AI assisted animation. Artists still design and animate, but use AI for drafts, variations, in-betweens, backgrounds or localisation.

If you want a refresher on the format itself, our guide to what an explainer video is covers the types and the job each one does. The three AI routes above are ways to produce those types, not new types.

When AI makes sense for an explainer

AI helps most where the real constraint is volume, speed or variety, not a single perfect film.

• Many versions of one message. The same explainer in several languages, for several audiences or with different product names.
• Internal and training content. Onboarding, process walkthroughs and policy updates that change often and do not need a signature visual style.
• Early concepts. A rough AI version to test a script and structure with stakeholders before committing to full production.
• Short social cuts. Teasers and cutdowns where scene variety matters more than a consistent character. For the paid media side, see our guide to AI video ads.
• Abstract or atmospheric scenes. Backgrounds, metaphors and mood shots that would be slow to draw by hand.

It makes less sense when the explainer is a long term brand asset, features a recurring character, shows a real product interface in detail, or has to be exact about numbers, legal wording or medical and financial claims.

AI explainer video production: the hybrid workflow

Professional AI explainer video production is not "type a prompt, get a film". A reliable pipeline keeps people in charge of every decision that affects meaning, and uses AI where it saves real time. A typical hybrid run looks like this.

1. Brief and message

One audience, one problem, one action for the viewer. This step is human and short, and it decides everything downstream. Skipping it is the most common reason AI explainers feel empty.

2. Script written and approved by a person

AI can propose drafts and alternative phrasings, but a human writer owns the final script. The script has to be tight: roughly 130 to 160 spoken words per minute is a common planning rule, and every sentence should earn its place. Our guide to the explainer video script walks through structure, length and a worked layout.

3. Storyboard and animatic

This is where AI projects are won or lost. A storyboard turns each script line into a planned shot: what is on screen, what moves, how long it stays. Generating without one produces pretty frames that do not tell a story. An animatic, a timed rough cut with the voice track, shows pacing problems before any expensive generation. We explain the method in storyboard and animatic.

4. Style frames and a visual reference set

Before generating shots, the team fixes a small set of approved frames: palette, line quality, lighting, character design, camera distance. These become the reference for every later generation and for the quality checks.

5. Generation and selection

Now AI produces candidate shots or clips against the storyboard. Expect several attempts per shot. A person selects the best take, rejects the rest and writes down what worked, so later shots stay close to it.

6. Correction and animation

Generated material rarely survives untouched. Artists repair hands, text, logos and odd details, extend or trim clips, add motion graphics for data and interface moments, and animate anything that must be precise. This is also where a studio with animation depth earns its keep.

7. Voice, music and sound

Voice and sound are half of an explainer. They get their own section below.

8. Edit, review and delivery

The edit locks timing to the voice, adds captions and cuts the aspect ratios you need. Review rounds happen on a rough cut first, not on final renders, so changes stay cheap.

Voice: human, synthetic or mixed

The voice carries trust. You have three realistic options.

• Human voice actor. Best for brand films, emotional topics and anything customer facing at scale. It costs studio time but gives natural pacing and emphasis.
• Synthetic voice. Good for internal content, drafts and many languages. Quality has improved a lot, but check pronunciation of product names, numbers and acronyms, and listen for flat sentence endings across a full minute, not a single line.
• Mixed. A human records the master version, and synthetic or cloned voices produce the secondary languages, with consent and licences documented.

Whatever you choose, keep the final audio mix human: levels, pauses, music ducking and sound effects are decided by ear. Never clone a real person's voice without written permission.

AI spokesperson video and the AI avatar explainer

A synthetic presenter looks efficient: write text, pick an avatar, export. For the right job it works. Product update videos, compliance training and help centre walkthroughs often fit.

Weak points to plan around:

• Delivery. Gestures and expression can feel stiff over a long runtime. Short segments with visuals cut in help.
• Trust. For a founder message or a sensitive topic, viewers prefer a real face or a clearly illustrated style.
• Sameness. Stock avatars appear in many videos. If brand distinction matters, a custom character or a different format is the safer path.
• Disclosure. Some platforms and regions expect a label for realistic synthetic people. Check the current rules for where the video will run.

A good compromise is an AI avatar explainer where the presenter appears for the intro and the close, and animated or screen based visuals carry the middle, where the explanation actually happens.

Consistency: the hardest technical problem

Explainers depend on repetition. The same character, the same colours, the same icon style across 20 shots. Generation tools tend to drift: a face changes, a shirt colour shifts, line weight varies.

Ways studios manage this:

• Lock a style reference set and reuse it for every generation.
• Design a character sheet first and keep scenes simple around it.
• Prefer layered or vector based assets for anything that repeats, so it can be reused exactly rather than regenerated.
• Use AI mainly for backgrounds and secondary scenes, and keep hero characters under artist control.
• Keep a shot log with the settings and references behind each approved frame.

If character consistency is central to your idea, that is a signal to lean toward classic animation or a strong hybrid with artist built characters.

Quality checks before delivery

Run these on a rough cut and again on the final.

1. Facts and claims. Every number, feature and promise matches the source. Generated visuals can imply features that do not exist.
2. On screen text. Generated text is often garbled. Replace it with real typography added in the edit.
3. Anatomy and objects. Check hands, faces, reflections, product shapes and background details frame by frame.
4. Brand. Logo, colours, fonts and tone match your guidelines. Never let AI redraw a logo.
5. Continuity. Character, clothing, lighting and style stay stable between shots.
6. Audio. Pronunciation, timing, loudness and music rights are confirmed. Captions match the audio.
7. Rights. Tool licences allow commercial use for your case, and no real person or protected brand is imitated. For large campaigns, get legal review.
8. Accessibility. Captions are accurate and contrast is readable on small screens.

AI vs traditional animated explainer

Both approaches can make a strong explainer. The right one depends on what you are optimising for.

Cost follows these drivers rather than a fixed rule: length, number of scenes, style complexity, languages, number of variants and revision rounds. AI can reduce the visual production share, while script, storyboard, voice, review and sound stay. For how classic explainer pricing works, see explainer video cost. Exact figures come from a brief, and you can start with our price overview.

When classic 2D animation is better

Choose classic animation, or a hybrid that leans on it, when:

• The video is a flagship brand asset that will run for a year or more.
• You need a recurring character or mascot across many videos.
• The explainer must show precise diagrams, data or software interfaces.
• The topic is regulated or sensitive, and every frame must be controlled.
• You want a distinct, ownable visual style that does not look like other videos.
• You expect frequent exact edits after launch, such as updated figures or new features.

Simpler styles can also be a good middle path. A whiteboard animation explains a process with clear hand drawn visuals, and it keeps cost and complexity predictable.

How to brief a studio for an AI explainer

A clear brief saves rounds of revisions. Include:

• The goal and the single action you want viewers to take.
• Audience and where the video will run.
• Length, languages and the number of versions.
• Tone: friendly, serious, technical, playful.
• Existing brand assets: logo, palette, fonts, past videos.
• One or two reference videos you like, and one you do not.
• Constraints: legal review, disclosure needs, approvals and deadline.

Alpina Production works as a video production studio with animation first, so script, storyboard, animation and sound sit in one place, and AI is used as one production tool run by people. If you are weighing AI against classic animation for a specific project, send us the brief and we will tell you which route fits and why.