Across the estates we analyse, 20 to 40% of the AI licences paid for are never activated. Yet adoption is moving fast: four companies in five say they use generative AI, and fewer than one in three measure the return. For companies in France, the gap between adopting a technology and getting measurable value from it keeps widening. This guide covers the concrete solutions and uses of artificial intelligence in business, its quantified benefits, how to deploy it and the risks to anticipate before investing further in digital.
Artificial intelligence in business refers to the technologies that let a system analyse data and carry out a task that until now required a human. The term covers several distinct families. Machine learning learns rules from historical data rather than from a fixed program. Deep learning stacks layers of computation to process complex signals such as voice or images.
Generative AI produces text, an image or a line of code from an instruction. Natural language processing understands and generates written text. Speech recognition and computer vision handle sound and images respectively, two technologies that are still rare outside industrial sectors.
Each sector picks its model according to the problem it needs to solve, as part of a gradual transformation rather than an abrupt break. Service-sector micro-businesses and SMEs favour an automated text processing tool to manage their customer relationships, often in the cloud rather than on in-house infrastructure. An industrial site is more likely to invest in computer vision for quality control and the safety of its production lines. No single offer or solution covers every business use on its own, and this variety of uses makes decisions harder for a company new to the subject, whatever starting point it chooses within its organisation.
A consumer chat assistant answers an isolated question on the spot, with no memory of the business context. Enterprise AI works differently: it integrates with existing systems, follows access governance rules and processes sensitive data under precise security conditions.
The gap also shows in actual use: 42% of companies in information and communication use an AI technology, against 5% or less in transport, accommodation and food services, or construction (source: Insee, ICT usage in enterprises survey 2024). The sector a company operates in therefore weighs as much as the size of the organisation in the decision to adopt artificial intelligence.
Adoption is moving fast. Its measured value is moving more slowly. The table below brings together the figures available over three years.
| Year | Indicator | Value | Source | |---|---|---|---| | 2023 | French companies using an AI technology | 6% | Insee | | 2024 | Companies with 10 or more employees using AI | 10% (33% for those with 250 or more employees) | Insee | | 2025 | Micro-businesses and SMEs using at least one AI solution | 25% | Baromètre France Num | | 2026 | Micro-businesses and SMEs that have tried generative AI | 55% (of which 17% use it regularly) | Bpifrance Le Lab | | 2026 | Companies saying they use generative AI | 80% | McKinsey | | 2026 | AI investments generating a measurable return | less than 30% | McKinsey |
