ChatGPT and similar tools have changed everything. But for experts with real knowledge, this represents an opportunity, not a threat.
Sagelix
Sagelix
Since ChatGPT revolutionized the world in 2022, many professionals wonder: why do they need my knowledge if AI already knows everything? The reality is more nuanced and, for experts, more promising.
What Generative AI Knows (and Doesn’t Know)
Language models like GPT-4 or Claude are impressive at generating coherent text. But they have a fundamental problem: they only know what was in their training data, which is already outdated.
They don’t know the latest regulatory changes in your industry. They don’t know how the specific process in your company works. They don’t have the intuition you developed in 30 years of practice.
From Generic AI to Specialized AI
The future isn’t ChatGPT for everything. It’s specialized AI systems, trained with expert knowledge from specific sectors. Systems like Dental Brain or Neural Fabrik.
The New Role of the Expert
Experienced professionals are shifting from being «those who know» to being «those who teach AI.» Your knowledge becomes the differentiator that makes an AI system useful in practice.
RAG and the Importance of Proprietary Data
The RAG technique (Retrieval Augmented Generation) allows combining generative AI with proprietary knowledge bases. Those who have those knowledge bases will have competitive advantage.
Emerging Opportunities
- Create specialized training datasets
- Validate and correct AI outputs
- Design prompts and workflows
- Develop fine-tuning for specific use cases
Time to Act
Demand for expert knowledge for AI is at its peak. Sagelix helps you position your expertise in this new market.
