The 2026 update
Sora showed what text-to-video could become. It also showed how quickly an AI product can change.
OpenAI introduced Sora as a model that could generate video from text and later released a product experience for creating short videos. OpenAI has since discontinued the Sora web and app experiences, with the Sora API scheduled to be discontinued on September 24, 2026.
For a small business or nonprofit, that history matters. AI video can still support concepts, storyboards, campaign tests, internal training examples, and creative exploration. But the tool name should never be the strategy.
1. Start with the communication goal
Decide whether the video needs to explain, demonstrate, recruit, reassure, or invite action. Then choose the production method. Sometimes AI helps. Sometimes a real customer, staff member, or community partner is the only credible choice.
2. Keep the human review
Generated video can create unrealistic details, confusing physics, false implications, and brand problems. A person should review accuracy, consent, tone, accessibility, and whether the content could mislead the audience.
3. Protect the source material
Do not upload private client stories, protected images, employee information, confidential plans, or media you do not have permission to use. Keep original files and document what was generated or edited.
4. Build a workflow that can survive a product change
Save your objective, script, storyboard, brand rules, review checklist, and source assets outside the AI product. If a tool changes price, features, access, or availability, your team can move the workflow without starting over.
Use AI to expand the work, not to replace judgment, consent, truth, or ownership.
What should your team do now?
Pick one real communication need. Define the audience and desired action. Test a low-risk concept. Review it with the people responsible for the message. Measure whether it improved the outcome before building more.
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