AI and university in Congo: how to use it without hollowing out your degree
In Butembo, universities across Grand Nord-Kivu debated AI in higher education. Here's what it means for you, a Congolese student or young talent — and how to use AI to actually learn, not to cheat.
You can generate a thesis in five minutes. The real question is: what’s left in your head afterward?
In late May 2026, in Butembo, the sub-conference of heads of higher education institutions (ESU) of Butembo and Lubero spent several days on a topic that concerns you directly, even if you weren’t in the room: how artificial intelligence is transforming the way we learn, teach, and prove what we know.
The teachers’ assessment was blunt. Student papers are getting better and better written… but in oral defenses, many can no longer explain what they “produced.” One speaker summed it up in a single sentence: we risk manufacturing “graduates with no real skills — an IT graduate who can’t even send an email.”
If you’re learning a trade today in Congo, that’s exactly the trap to avoid. Let’s break it down.
AI is neither your enemy nor your miracle solution
During the training, a facilitator sorted people into four camps: those who want to ban AI (afraid of plagiarism), those who see it as the revolution that solves everything, the opportunists who just follow the trend… and the balanced ones, who say: it’s a tool, let’s set boundaries around it.
That last position is the one that holds up. As he put it:
“The problem is neither the tool nor the solution: it lies in the opaque way we use it.”
Translation: ChatGPT, Gemini, or Grok don’t decide for you whether you become competent or not. It’s how you use them that decides.
The real danger: “next-generation plagiarism”
In the past, cheating was visible: you copied a text, an anti-plagiarism tool caught it. Today it’s different. AI-generated content is original — which makes it invisible to classic detectors.
One speaker proved it live: in a few minutes, a tool generated a six-page scientific article for him, ready to submit to a journal. Impressive. But behind the polish, several problems:
- AI hallucinates: it invents references and citations that don’t exist (one participant discovered his own name attributed to a text he never wrote);
- it can fabricate fake data — a made-up survey dataset that “passes” statistical analysis;
- it gives you wrong answers with total confidence.
So the risk isn’t technical. It’s intellectual. If you rely on all that without checking it, you walk out with a fine degree… and nothing in your head. And on the job market, that shows within five minutes of an interview.
Learn with AI, not instead of your brain
The good news: used well, AI is a formidable accelerator. The concept researchers keep coming back to is augmented research — AI supports you, it doesn’t replace you. Here’s how to use it intelligently.
1. Learn to write prompts
The quality of the answer depends on the quality of your question. A good prompt specifies: the object (what you want), the context, the purpose, and the ethical frame. Compared to “explain this theory to me,” a contextualized prompt (“explain it to a business undergraduate, with an example suited to small businesses in Butembo”) gets you ten times better results. As one trainer put it: “it’s the person who’s already smart who knows how to use artificial intelligence.”
2. Check everything, especially sources
Track down every reference AI gives you. Does the author exist? Did they really write that? Treat what AI produces as a draft, a skeleton — not a truth. It’s up to you to flesh it out, contextualize it, rewrite it.
3. Keep your critical thinking switched on
AI has no moral conscience and takes no responsibility. That’s exactly why it can’t be the “author” of a piece of work: the author is whoever takes responsibility. If you sign it, you answer for the content. That responsibility is precisely what makes you a professional instead of just someone pressing a button.
4. Explore the right tools
Beyond general-purpose assistants, specialized tools exist: scientific production engines, “reviewers” that critique your work before you submit it, or NotebookLM (Google), which turns your course material into summaries and even videos for revision. The right tool for the right task.
What this means for your career
Here’s the heart of it. The teachers in Butembo said it in their own way, but the message is clear: in a world where anyone can generate a polished document, what sets you apart is no longer the degree — it’s real, demonstrable skill.
In fact, in some sectors you can already see it: in IT, a Cisco certification sometimes carries more weight than a university degree. Why? Because you can’t get it by generating a text. You have to actually know how to do the thing.
That’s exactly SAYNA’s philosophy: we don’t measure your value by a piece of paper, but by what you’re actually capable of doing. That’s why our learners build their skills on real paid missions — not on fictional exercises. You use AI the way a pro does: to move faster, while your own head keeps thinking, deciding, and taking responsibility. (It’s actually the first of the 5 pillars that really matter in 2026: thinking.)
In short
AI is here, and it isn’t going away. The debate is no longer “should we use it?” but “how?” As one speaker concluded in Butembo:
“A society can become technologically advanced while remaining morally fragile. Let’s not be that society.”
Use AI to learn faster, never to avoid learning. Check, question, take responsibility. That’s the difference between someone with a degree and someone you actually want to hire.
Want to turn your skills into real opportunities? Create your free account: learn, take on paid missions, and build a portfolio that speaks for you.
Article inspired by the “Sound Strategic Governance and Steering” training of the ESU Butembo-Lubero sub-conference (North Kivu, DRC), May 2026.