An industrial SME looking to integrate a text-generation tool for its product descriptions faces a different question from an e-commerce platform automating its advertising campaigns. The industry, team size and applicable regulatory framework all vary from one case to another. Understanding current business trends starts with accepting that the answers depend on the environment in which you operate.
AI adoption in business: major differences across sectors
Artificial intelligence is often discussed as though it were a single, uniform concept. In practice, the picture is fragmented. According to the European Commission’s Joint Research Centre, AI use in Europe’s strategic sectors more than doubled between 2021 and 2025. Media, energy and electronic communications are leading the way. Tourism, mobility and agri-food are lagging behind.
This growth is partly driven by more accessible and affordable generative tools, particularly for marketing and sales. An energy company can deploy a technical diagnostic assistant without assembling a full data science team. By contrast, a rural tourism business with five employees has neither the same data nor the same integration budget.
The practical lesson is clear: copying an AI strategy from a company in another sector rarely delivers useful results. You can save time by first mapping your own repetitive processes, then identifying the tools suited to that specific scope. The analyses published in the business section of Tous les Faits help you track these developments sector by sector.
AI Act and sustainability reporting: two regulatory requirements to address now
The European Artificial Intelligence Act (AI Act) entered into force in August 2024, but its requirements will be phased in through 2028. According to the European Parliament, the legislation will not be fully effective until then. In the meantime, every company that uses or deploys an AI system must map its use cases and check which deadlines apply to them.
In practice, a company using a customer service chatbot is not subject to the same requirements as one deploying a scoring system for recruitment. Waiting until 2028 to address the issue risks leaving you to redo everything in a rush.
The sustainability reporting trap for SMEs
The European revision of the CSRD (Corporate Sustainability Reporting Directive) reduces the number of companies directly subject to reporting requirements. It might seem that SMEs are in the clear. In practice, SMEs are still asked for information by their clients, who must report on their entire value chain.
An automotive subcontractor with fifty employees may find itself completing ESG questionnaires required by a client, even if the directive does not apply to it directly. The administrative burden does not disappear; it shifts elsewhere. Preparing for these requests by organizing environmental and social data before it becomes mandatory can save several months of work.
Business strategy and training: choose the skills you need instead of piling them up
When the world is changing quickly, the classic temptation is to take a growing number of short courses on every trending topic. Negotiation, leadership, digital marketing, agile project management: companies fill a training catalogue without checking what actually improves business performance.
A more effective approach is to identify two or three skills directly related to current operational challenges. For a sales team facing longer sales cycles, the priority is not a general leadership course, but focused work on complex negotiations and handling technical objections.
- Map the three to five situations where the team loses the most time or margin, then identify the skill that addresses each one
- Choose training formats that incorporate real cases from the company, not generic scenarios
- Measure the impact after three months using a concrete metric (conversion rate, processing time, customer satisfaction) rather than an immediate satisfaction score
Useful training solves an identified problem; it is not simply there to reassure you that your annual development plan is on track.
Management tools and innovation: what changes day-to-day decisions
Management tools are evolving quickly, but not all of them deserve equal attention. What makes a difference in practice is a tool’s ability to shorten the time between receiving information and making a decision.
An ERP system that brings together production, inventory and sales data in real time lets an operations director spot a drop in margins within hours instead of weeks. A financial dashboard connected to bank feeds eliminates manual data entry and the errors that come with it.
Three criteria for evaluating a tool before adopting it
- Can the tool integrate with your existing software without requiring an integration project lasting several months?
- Is the total cost (licence, training, maintenance) proportionate to the time savings measured over the first six months?
- Did the team that will use it take part in the selection process, or did the decision come solely from management?
Business innovation is not measured by the number of tools deployed. It is measured by how many decisions improve as a result. One well-integrated piece of software that people actually use is worth more than five SaaS subscriptions that nobody opens after the first month.
The pace of change in the business world will not slow down. What sets adaptable companies apart is their ability to treat each change as a specific operational problem—with a defined scope, timeline and owner—rather than as an abstract wave they simply have to “adapt” to.
