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AI is not Satan: why Black creators and entrepreneurs should learn the tools

The case for using AI to build businesses, create Black films, and gain practical skills—while keeping ownership, judgment, and community interests at the center.

Black woman working on a laptop beside creative panels showing a storyboard, music waveform and storefront design.
AI-generated editorial illustration of a creator exploring digital tools; invented person and setting.

A Black filmmaker with a story should have more ways to make it. A neighborhood business owner should have help reaching customers. A working parent with an idea should be able to test it without first assembling a large staff. That is the promise worth pursuing in artificial intelligence: more practical room to create, learn, and own.

The Black Angle believes Black people should learn these tools and help shape how they are used. AI is not Satan. It is technology built and operated by people, with capabilities, limitations, and interests we can examine. Faith and technological curiosity can coexist. A frightening prediction should invite questions and evidence, rather than automatically settle whether a useful tool belongs in our lives.

We also owe our community an accurate starting point. Pew Research Center’s June 2026 report, based on a survey of 5,119 U.S. adults, found that 49% of Black adults and 46% of White adults said they used AI chatbots. Those figures do not support a blanket story that Black Americans reject the technology. Individual experiences of religious objections or skepticism cannot describe an entire population. The opportunity is to make informed, effective use more widely accessible.

The economic stakes are real. The Federal Reserve’s 2022 Survey of Consumer Finances put median Black family wealth at about $44,900, compared with $285,000 for White families. These are 2022 figures, not a measurement of today’s balances. They describe unequal financial resources, not unequal talent. For someone with a smaller cushion, reducing the cost of testing an idea can matter enormously.

Consider the ordinary work around a small business: drafting product descriptions, organizing a content calendar, preparing customer replies, outlining a website, or turning rough notes into a proposal. Used carefully, AI can help an owner produce a first version sooner and reserve paid specialist help for decisions that demand it. A useful starting question is concrete: which recurring task takes time that I could spend serving customers?

There is evidence behind the productivity argument. A 2023 experiment by MIT researchers Shakked Noy and Whitney Zhang assigned professional writing tasks to 453 college-educated participants. Access to ChatGPT reduced average completion time by 40% and raised assessed output quality by 18%. That finding concerns specific writing tasks. It does not establish that every business will save 40%, or that using AI guarantees income. It does show why trying a suitable task is worth serious consideration.

Creative work makes the possibility especially visible. Our founder, Sean JonPaul Foster, is using AI tools to make films centered on Black characters and experiences. His aim is to bring more Black stories to the screen with resources he can access. His ongoing filmmaking offers a practical example of an artist using new tools to pursue a project, rather than waiting for a large studio to commission it.

The shortage of opportunity in mainstream film has a measurable contemporary dimension. UCLA’s 2026 Hollywood Diversity Report examined 109 leading English-language theatrical releases from 2025. In its analysis of 108 identifiable film leads, Black actors accounted for 6.5% and White actors for 76.9%. That is a defined theatrical sample, not a count of every film ever made. It still gives independent Black storytellers a strong reason to build additional paths to audiences.

Those paths can include storyboards, animation experiments, concept scenes, editing assistance, and promotional materials. A musician can explore arrangements or develop a rough demo before booking further production work. A filmmaker can test a visual idea before committing more money to it. Some of that work can cost less with AI, while repeated generations, subscriptions, revisions, and distribution still add up. The creator’s taste, writing, direction, and editing remain essential.

Learning is another opportunity. Ask a tool to explain an unfamiliar business term in plain language, turn a lesson into practice questions, or help you rehearse a customer conversation. Then check the explanation and test what you learned. The goal is to build skills you can use independently. Schools, libraries, churches, and community organizations could make that practice less intimidating through shared workshops and real projects.

Time also matters. Where a service supports scheduled or background work, a properly configured workflow can handle a recurring task while its owner works on something else. That still requires access, setup, and review. The value comes from handing off a specific piece of work reliably. A person running a small operation may gain meaningful breathing room from even one successful workflow.

Embracing AI should include demanding better AI. NIST’s generative-AI risk profile identifies problems including confidently false output, harmful bias, privacy risks, and intellectual-property concerns. Those problems deserve attention, particularly from communities that can be harmed by stereotypes or exclusion. Fact-check important claims, protect customer information, review how Black people are represented, and check permission and usage terms before releasing creative work. These habits are part of learning the craft.

Taking those concerns seriously also means respecting workers and artists. A Black musician, actor, illustrator, or editor does not become disposable because a new tool exists. We should pursue ways to expand what small creators can accomplish, compensate collaborators, and preserve consent around voices and likenesses. Being enthusiastic about useful software does not require accepting every business practice of the companies selling it.

Start with one project small enough to finish: a service page, a short animated scene, a customer-information sheet, or a marketing draft you can verify. Set a spending limit. Compare the time and money involved with your previous method. Show the result to the people it is meant to serve. Keep the tool if it helps; change the process if it does not. A business still needs demand, trust, and a product worth paying for.

Black communities deserve a meaningful role in this technology’s development and use. We can become builders, owners, skilled users, and informed critics at the same time. AI alone will not close a wealth gap or create an audience. Learning it can give more of us additional ways to act on our ideas. Let fear be a question we investigate, rather than a rule that decides what we are allowed to build.

Opinion: the recommendations and argument represent The Black Angle’s editorial position. Empirical claims draw on five research and government sources, with study dates and limits identified in the article. The founder’s filmmaking example is based on his own account. AI-assisted writing was checked against the cited sources.

Published by The Black Angle. Editorial standards & corrections.

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