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1 contribution to Kingdom Digital Impact Hub
🌾 NEW SERIES: The Digital Plantation (Part 1 of 3)
Friends, Over the next three weeks I'm sharing a series I've been working on, and it asks one question: who owns the harvest? Every day our ministries, nonprofits and small businesses plant something valuable: donor lists, grant narratives, case notes, sermons, the hard-won knowledge of how we serve people. More and more of that crop goes into AI tools we don't control. This series follows that harvest in three stages: - Part 1: The Ledger You Never Saw. Who owns the value your data creates? - Part 2: The Gin House on the Hill. Who pays for the data centers that process it, including the ones proposed right here in Southern Maryland? - Part 3: Taking Back the Deed. How does an organization go from tenant to owner? We'll use a Bayesian diagnostic and the Hero's Journey to answer it. Read Part 1 below. Then answer one question in the comments. I'll be responding to every one. The Ledger You Never Saw In the cotton country of the Alabama Black Belt, after Emancipation, there was a day every family dreaded. They called it settling up. All year, a sharecropping family worked land they did not own. They drew seed, mules and flour on credit from the landowner's commissary. In the fall they brought in the crop. Then the family stood at the counter while the landowner opened a book they had never been allowed to read. He ran his finger down the columns. More often than not, the crop had not quite covered the debt. See you next year. Here is the strange thing. The sharecropper was not lazy, and he was not foolish. He knew more about that soil than anyone alive. What he lacked was not knowledge. He lacked the ledger. The person who keeps the books decides what the work was worth. Now fast-forward to a Tuesday morning in 2026. The executive director of a small ministry opens a free AI tool. She pastes in her donor list to draft thank-you letters. She uploads the grant narrative her team spent three years refining. She asks the tool to summarize counseling notes. Every keystroke is labor. Every document is crop. And somewhere, in a book she will never read, a column she cannot see is filling up.
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This raises an important point. I believe businesses should think beyond what AI tools can help them achieve and also consider what happens to the information and knowledge they put into those tools. Automation should make a business more efficient, not leave it completely dependent on platforms it doesn't control. My question is: How can small businesses start building AI systems that give them more control over their data while still benefiting from AI technology?
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Stephen Lekan
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@daniel-look-5752
I help Skool owners build, organize, and grow thriving communities through smart setup, engagement, and AI automation.

Active 1h ago
Joined Oct 30, 2026