– An Article by Bruno BOUYGUES
Artificial intelligence is everywhere. Organizations ask about an “AI strategy” weekly. But focusing on the tool risks missing what genuinely creates value for a manufacturing company: the expert system built, maintained, and evolved with its workforce. As CEO of a French industrial group designing and manufacturing metalworking and battery charging machines, I see this distinction daily.
Run a simple test: take the most advanced AI model and ask it to configure a welding machine for high-yield-strength steel, vertical-up position, on an offshore construction site under EN 1090 certification. Today, the answer will be unusable—not because the technology is flawed, but because it lacks what only a manufacturer can supply: domain knowledge forged by experience. AI predicts possibilities; experience shapes reality.
An expert system is that layer of specialized intelligence: the translation of thousands of configurations tested in lab and field, subtle correlations between machine parameters and metallurgical outcomes, and accumulated feedback across markets with differing climates and regulations. This knowledge cannot be downloaded. It is built test after test, year after year.
The temptation is to treat AI as an end in itself. Spectacular announcements, media pressure, and investor expectations push rapid adoption of generalist AI tools, sometimes at the expense of strategic thinking. We must resist this bias. Lasting value in manufacturing comes not from being the most agile user of trending technology, but from being the producer of structured knowledge. Every product, customer feedback, and R&D trial feeds a knowledge base whose value is cumulative and growing—a sedimentation of collective intelligence that turns raw data into a strategic intangible asset.
Specializing a model in industrial domains—materials science, metallurgy, physics—requires immense human effort: data collection, validation, and strategic framing that technology alone cannot replace. AI is a remarkable accelerator that democratizes and spreads expertise. It makes experts more efficient, autonomous, and inventive. But an industrial company is not a collection of soloists; it is an orchestra. The edge comes less from individual virtuosity and more from the quality of the score that organizes, prioritizes, and directs knowledge toward coherent, innovative products.
Don’t confuse vehicle with fuel. The engine of value creation in manufacturing is a proprietary expert system, nourished by domain knowledge validated over many years, designed to evolve, and hard to replicate. The winner is not the fastest adopter of AI; it is the organization that builds and sustains an expert system to collect and structure unique domain knowledge—upon which specialized AI can then accelerate progress.
Connect with Bruno Bouygues on LinkedIn: https://www.linkedin.com/in/brunobouygues/
For more information visit GYS France: https://www.gys.fr/
Published: 27th February 2026
