When a supplier based in Asia announces an additional three-week delay due to a new customs tax, we are no longer talking about abstract geopolitics. We are talking about a blocked purchase order, a buffer stock to be recalculated, and an end customer who is waiting. It is this type of concrete situation that has been reshaping the business world for several months, well beyond the headlines about trade tensions.
Friendshoring and regional blocs: what it changes for an order book
The term “friendshoring” refers to the practice of relocating supplies to allied countries rather than to the cheapest supplier. Specifically, several analyses reported by Bloomberg and Reuters document an intensification of the decoupling between the U.S./Europe blocs on one side and China/Russia on the other, with partial relocations and a multiplication of regional trade agreements.
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For a small or medium-sized enterprise (SME) that imports components, this means reviewing its list of suppliers, comparing logistics costs that are no longer comparable to those from two years ago, and sometimes accepting a higher unit price in exchange for a shorter supply chain. This topic regularly appears in the news on the Magazine Business site, where concrete cases of companies adapting their sourcing come up frequently.
The EU-U.S. agreement that came into effect at the end of July 2025, which eliminates tariffs on a wide range of American products, illustrates this refocusing. For European exporting companies, it is a direct lever on margins. For importers, it is a trade-off to be reconsidered between Asian and American suppliers.
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ESG data and access to financing: the filter that banks are already applying
ESG (environmental, social, and governance) criteria are often discussed as a “communication” topic. On the ground, ESG ratings now influence the cost of capital. Several major asset managers, including J.P. Morgan AM and BlackRock in their market reports, indicate a measurable differential between well-rated companies and others.
Translated into operational language: a company that publishes detailed and verified extra-financial data receives more favorable loan conditions. Those that do not do so pay more for their credit or find themselves excluded from certain investment funds.
Common bottlenecks for SMEs
- The collection of reliable data on supply chain carbon emissions, which often requires reaching out to each supplier individually
- The choice of reporting framework (CSRD in Europe, ISSB standards internationally), which determines the comparability of results
- The cost of external audits to verify this data, a line item that many mid-sized organizations had not budgeted for
Feedback varies on this point depending on the sector: a digital services company will have fewer difficulties than a manufacturer in producing a usable carbon balance. The challenge remains the same, documenting and proving rather than just declaring.
Generative AI in services: beyond the announcement effect, the real operational gains
Since 2024, generative artificial intelligence has moved from being a curiosity to a business tool in several sectors. What changes the game is not the technology itself but how it integrates into existing processes.
Let’s take a concrete case. A customer service department that handles several hundred requests per day can use an AI assistant to pre-qualify incoming tickets, draft response templates, and direct inquiries to the appropriate contact. The gain does not come from replacing a position but from reducing the processing time per request.
Where generative AI produces tangible results
In e-commerce, product sheet personalization and dynamic pricing are among the most documented applications. Companies that leverage these tools see a measurable improvement in customer experience reflected in conversion rates.
In data analysis, AI assistants enable non-technical profiles to query complex databases in natural language. A sales manager can obtain a summary of sales trends without going through the data team.
The trap is to deploy a generic tool without adapting it to the company’s business data. An untrained model on internal data produces disappointing results, and teams disengage within weeks.
Digital value chains and regulation by geographic area
The economic decoupling is no longer limited to the manufacturing industry. Digital services (cloud, data centers, SaaS solutions) are also reorganizing by major regulatory zones: European Union, Americas, Asia.
For a company using an American cloud provider, the question of compliance with European GDPR arises with each contract renewal. Data transfer clauses, server location guarantees, and required certifications are regularly evolving.
- Verify the physical location of servers used by each critical SaaS provider
- Identify data subject to residency obligations (health data, financial data, European personal data)
- Anticipate migration costs if a change of provider becomes necessary for regulatory reasons
This fragmentation also creates opportunities. European cloud providers are gaining market share among companies looking to simplify their compliance. The data management consulting market is experiencing growth driven by this increasing regulatory complexity.
Monitoring these developments over the months remains the best protection against unpleasant contractual surprises. Companies that integrate this regulatory monitoring into their ongoing management, rather than treating it as an emergency, gain operational stability and negotiating power with their service providers.