Requirements · AI writing and content tools

Using AI image and video generators for commercial work

Last updated 25 October 2026 · 2 sources listed · Reading time about 3 minutes

Short answer

Before commercial use, check the tool's terms on ownership and permitted use, how training data was sourced, whether outputs can resemble existing works or real people, disclosure rules for synthetic media, and what provenance signals are embedded. Copyright treatment of generated material varies by country, so confirm with a qualified adviser for anything high stakes.

Who this is for: A designer, marketer or small-business owner who wants to use generated images, video or audio in client work, ads or products and needs to understand rights and risk.

What to evaluate

Terms on ownership and use
Some terms grant broad rights while others restrict commercial use or reserve licences.
How to check: Read the exact plan terms on ownership, commercial use and any attribution requirements.
Training data transparency
Concerns about unlicensed training material affect risk appetite and client expectations.
How to check: Look for the provider's statements on data sources, opt-outs and licensing.
Indemnity and takedown handling
If a rights holder objects, you need to know who handles it.
How to check: Check for indemnification, dispute processes and how you must respond to claims.
Likeness and trademark risk
Outputs can resemble real people, characters or logos even when not intended.
How to check: Review outputs for recognisable people, brand marks and distinctive styles before use.
Copyright protectability
Purely machine-generated material may not receive copyright protection in some jurisdictions, limiting your ability to stop copying.
How to check: Check the national copyright office guidance for where you operate, and document human creative contribution.
Disclosure and provenance
Advertising, political and platform rules increasingly require labelling of synthetic media.
How to check: Identify applicable rules and use provenance standards where offered.
Consent for voice and face
Cloning a person's voice or likeness without consent can breach law and contracts.
How to check: Obtain written permission and check the tool's own consent rules.

Comparison

Commercial uses and the care they need
Use	Risk level	Practical step
Internal mood boards and concepts	Low	Keep internal; avoid sharing outputs externally
Social posts and blog illustrations	Moderate	Check terms, review for likeness and trademark issues, label if rules require
Advertising and packaging	Higher	Seek legal review, prefer tools with clear commercial terms and indemnity, keep creation records
Logos and brand identity	High	Require human-led design so you can protect and register the result
Realistic people or voices	High	Obtain consent, follow disclosure rules, avoid deceptive use

Decision worksheet

Rate up to three options against this guide’s own criteria. It runs in your browser and saves only on this device. It is a thinking aid, not a recommendation.

1. Have you checked each criterion?

Terms on ownership and use — Read the exact plan terms on ownership, commercial use and any attribution requirements.
Training data transparency — Look for the provider's statements on data sources, opt-outs and licensing.
Indemnity and takedown handling — Check for indemnification, dispute processes and how you must respond to claims.
Likeness and trademark risk — Review outputs for recognisable people, brand marks and distinctive styles before use.
Copyright protectability — Check the national copyright office guidance for where you operate, and document human creative contribution.
Disclosure and provenance — Identify applicable rules and use provenance standards where offered.
Consent for voice and face — Obtain written permission and check the tool's own consent rules.

0 of 7 criteria checked.

2. Compare options (0 = fails or unknown, 3 = meets it well)

Criterion	Option 1 name	Option 2 name	Option 3 name
Terms on ownership and use	Terms on ownership and use score for Option A	Terms on ownership and use score for Option B	Terms on ownership and use score for Option C
Training data transparency	Training data transparency score for Option A	Training data transparency score for Option B	Training data transparency score for Option C
Indemnity and takedown handling	Indemnity and takedown handling score for Option A	Indemnity and takedown handling score for Option B	Indemnity and takedown handling score for Option C
Likeness and trademark risk	Likeness and trademark risk score for Option A	Likeness and trademark risk score for Option B	Likeness and trademark risk score for Option C
Copyright protectability	Copyright protectability score for Option A	Copyright protectability score for Option B	Copyright protectability score for Option C
Disclosure and provenance	Disclosure and provenance score for Option A	Disclosure and provenance score for Option B	Disclosure and provenance score for Option C
Consent for voice and face	Consent for voice and face score for Option A	Consent for voice and face score for Option B	Consent for voice and face score for Option C
Total (max 21)	0	0	0

Questions to ask before you commit

Do the plan terms assign commercial rights to me, and are there exclusions?
How does the provider describe sourcing of training material and respecting opt-outs?
Is any indemnity offered and what conditions apply?
Can I keep a record of prompts, settings and versions to show how a work was produced?
Does the tool embed provenance metadata in outputs?
What safeguards exist against generating real people or protected characters?
Do client contracts allow or forbid generated material?
What disclosure rules apply on the platforms where this will appear?

Typical trade-offs

Using generation for finished assets versus for concepts only

Upside: Finished assets save the most time.
Downside: Rights and protectability uncertainty is greatest for final deliverables.

Tools with licensed training data versus broader options

Upside: Clearer risk posture and often stronger commercial terms.
Downside: Styles and capabilities may be narrower.

Heavy human editing of outputs versus use as generated

Upside: Edits add human authorship and fix flaws.
Downside: Takes time and can reduce the saving.

Common mistakes

Assuming you own and can register whatever the tool produces. Verify terms and local law.
Prompting with a living artist's name to imitate style for commercial gain. Choose descriptive direction instead and consider ethical and legal exposure.
Skipping contract review. Many client agreements address generated material.
Using realistic synthetic people in ads without disclosure checks.

Sources and further reading

These pages were reachable when we last checked. They informed definitions and rules referred to above; they do not endorse this guide. Where rules differ by country, check the authority for your location.

Copyright and Artificial Intelligence — U.S. Copyright Office, retrieved 27 October 2026
Coalition for Content Provenance and Authenticity — C2PA, retrieved 27 October 2026

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