AI Is a Power Tool for African Bitcoiners. Power Tools Cut Both Ways.
A volunteer with no coding background built a Bitcoin verification system with a chatbot. This summer, AI helped expose a five-year-old flaw in a popular wallet, and it may have helped thieves too. Africa’s builders need to learn from both.
In December 2025, someone with no programming experience sent a simple message to an AI chatbot: help me write a basic Telegram bot. According to PoWBoT’s own About page, the project grew over the following weeks, first with Grok and then with Claude, into a full system that checks videos of Bitcoin payments at African shops and pays sats to the people involved. The same page says it has approved more than 4,600 posts from nearly 30 projects at over 300 merchants.
Now fast-forward to 30 July 2026. In about 41 minutes, attackers swept more than 1,082 BTC from 1,196 hardware wallets. The wallets were Coldcards, a favourite among Bitcoin-only users. Galaxy Research later estimated total losses at about $130 million across four attack waves.
The same technology sits behind both stories. My argument is simple: AI is not a threat to Bitcoin in Africa, and it is not a saviour. It makes whoever holds it stronger. The question is who will use it better, us or the people who want our coins.
What excites me
Builders no longer need permission. PoWBoT’s own page says the point is that you don’t need to be a programmer to build something useful. The next tool for a circular economy may come from a teacher in Lusaka or a student in Kisumu.
Language stops being a wall. Bitcoin education in Africa already happens in Wolof, French and Kirundi, and much of that work is done by volunteers, as our 2025 MIAB list shows. AI can draft and translate far faster. A native speaker still has to check the result, but the first draft no longer takes weeks.
Machines will need money, and Lightning is built for small payments. In February 2026, Lightning Labs open-sourced tools that let AI agents pay and get paid over Lightning using a standard called L402, with no accounts or API keys (The Block’s report). Here is my own reading, and it is a bet: an African developer with a laptop and a Lightning node could sell a service to software anywhere in the world, with no card processor to approve them. It’s early, and nobody knows how big the demand will be.
The hack that changed my mind
Coinkite, the maker of Coldcard, traced the problem to the way some devices created seeds. The seeds had much less randomness than they should have, so attackers could work them out. Block’s security team found the same fault independently. The flaw had been sitting in public code for about five years (Cybernews). Bitcoin itself was not touched. The weak point was the software around it.
How AI may have helped the thieves. Coinkite said it has to assume someone used AI to read its open-source firmware and stumble on the flaw (Cybernews). I want to be fair here: this is an assumption, not proof. One summary of the case states plainly that there is no evidence the thieves used AI. But the logic is hard to ignore. Dragonfly’s Haseeb Qureshi reported that an AI model re-found the bug in about 20 minutes for roughly $2, though only after researchers pointed it at the right code. When searching costs that little, someone will search every open codebase, over and over.
The same tools, on the defence side. After the theft, a volunteer group called the Bitcoin Red Team went looking. Funded by OpenSats, 16 people scanned 390 Bitcoin repositories in 27.5 hours with about $40,000 of AI compute and filed 85 critical findings. A later sweep covered 501 projects and logged 7,958 findings, 1,280 of them rated high or critical. Not all of those are confirmed, and many still need checking by maintainers.
The findings also reached payment tools. Red Team researchers Bruno Garcia and Ben Carman reported a critical flaw in BTCPay Server that was already being exploited. It let an attacker without a login steal credentials for a connected LND node and reach its Lightning wallets (crypto.news). It was fixed in version 2.4.2. OpenSats, which ran the affected stack, paused Lightning donations as a precaution and lost no funds. OpenSats has since set up a fund that pays back AI costs for security researchers.
Where AI failed. This is the part I keep thinking about. Coinkite said it ran an AI-assisted review of its code in the weeks before the theft, and the review did not catch the bug. After the theft, it tested several leading AI models, and none found it either. Its warning to other builders was to test any AI review specifically against the places where build steps and code modules meet.
So AI is not a magic shield. It finds what it is pointed at. That means the side that asks better questions, more often, wins. Ledger’s CTO Charles Guillemet pointed out the bug went unnoticed for five years in public code (The Currency Analytics). Open source means anyone can look. It doesn’t mean anyone did.
I can’t tell you how many African users or merchants are affected, and I don’t think anyone should pretend to know. What I do know is that circular economies and community projects often run on self-custody wallets and open-source payment tools, with small budgets and thin technical support. When a flaw like this lands, the people least able to check, patch and migrate are hit hardest.
What to Do Next
Audit your wallet setup. If you or your community used a Coldcard, review Coinkite’s official advisory. Note that updating your firmware will not secure a seed phrase generated on an affected version—you must migrate those funds to a freshly generated wallet.
Keep your payment infrastructure updated. If you run BTCPay Server with LND, ensure you are running version 2.4.2 or later.
Don’t rely solely on AI security reviews. Treat AI code analysis as just one layer of defense, and specifically test it against the most vulnerable parts of your codebase.
Support open-source security. Fund, thank, and amplify the work of independent researchers and developers who audit open-source Bitcoin software. They are the frontline defense finding vulnerabilities before attackers do.
Warn your community. A single concise message shared in your local Telegram or WhatsApp group could save someone’s life savings.
The habit that still works
Bitcoin gave us one habit: don’t trust, verify. This summer showed what happens when verification is rare, and what happens when it gets cheap. AI just made checking code far less costly, for attackers and for defenders alike.
That is why I’m hopeful. The people building Bitcoin in Africa are the kind who learn fast, share what they find and look out for each other. If we use these tools to check things before someone else does, they will help us far more than they hurt us.