SMEs Are Using AI, But Real Integration Is Still Uneven
By Suad Seferi ·
Artificial intelligence is quickly becoming part of everyday business life, but adoption is not the same as transformation. Across Europe, small and medium-sized enterprises are experimenting with AI tools for writing, customer support, marketing, translation, administration, data analysis, and productivity. Many of these tools are easy to access and do not require a dedicated technical team. That is why AI adoption is moving faster than many earlier digital technologies. But recent survey evidence also shows a more complicated picture. SMEs may be using AI, but many are still far from integrating it strategically, securely, and consistently into their business operations. That matters for the Balkans. The region is built largely on small businesses, agencies, service providers, family companies, startups, freelancers, NGOs, and project-based organizations. If AI adoption remains informal and unstructured, many organizations may use AI every day without gaining the full value from it. What the survey data shows The OECD’s 2026 D4SME survey shows that SME adoption of AI tools is increasing rapidly. Most businesses are using ready-made, off-the-shelf AI products, while some are starting to experiment with more tailored applications, including AI agents. This is important because it shows that AI adoption is no longer limited to large corporations or advanced technology companies. Smaller firms are also entering the AI economy. However, the same research points to a major gap: strategic, targeted, and secure integration remains uneven. In simple terms, many SMEs are using AI tools, but not always with a clear plan. A business may use ChatGPT for writing emails, Canva AI for marketing, translation tools for multilingual communication, and AI search tools for research. But that does not mean the company has an AI policy, trained staff, secure workflows, or clear quality control. This is the difference between using AI and adopting AI properly. Europe is moving, but not evenly Evidence from euro area firms also shows uneven adoption. According to the European Central Bank, 38% of euro area firms are already at an advanced stage of AI adoption, meaning they report moderate or significant use of AI. Another 33% are still at an early stage, using AI very infrequently or experimentally. Large firms, listed firms, venture-backed companies, and younger companies are adopting AI more frequently than small, unlisted, and established firms. This pattern is important for the Balkans because many regional economies are dominated by smaller and more traditional businesses. If smaller firms are already behind in more developed European markets, the gap may be even more serious in countries where access to training, financing, technical support, and digital infrastructure is more limited. The Balkan challenge For Balkan SMEs, the issue is not only whether they know about AI. Many already do. The bigger issue is whether they know how to turn AI into a useful business capability. There are several common problems. First, AI is often used by individuals, not organizations. One employee may use ChatGPT, another may use Gemini, a third may use translation tools, and the owner may not know exactly what data is being entered into these systems. Second, many businesses do not have internal rules. Employees may paste client information, contracts, financial details, or personal data into AI tools without understanding the risks. Third, the training gap is real. Many SMEs do not need advanced machine learning courses. They need practical training on how to use AI safely for sales, marketing, administration, reporting, communication, customer service, and decision support. Fourth, local language support remains important. Balkan companies often work across Macedonian, Albanian, Serbian, Croatian, Bosnian, Montenegrin, Slovenian, Bulgarian, Greek, Romanian, and English. AI tools can help, but quality varies depending on the language, style, and context. Why off-the-shelf tools are only the first step Ready-made AI tools are useful because they lower the barrier to entry. A small company can start using AI without hiring a data science team. That is good. But there is a risk. If AI remains only a collection of random tools, businesses may save some time but fail to change how they work. The real value appears when AI becomes part of workflows. For example, an SME can use AI to: create first drafts of client proposals summarize customer feedback generate multilingual product descriptions support customer service replies prepare meeting summaries analyze sales questions structure internal knowledge improve SEO and content planning speed up reporting and administration But for this to work properly, employees need shared standards. They need to know what AI can do, what it cannot do, and what must be checked by a human. What Balkan SMEs should do next The first step is not buying every AI tool. The first step is identifying where time is being lost. A small business should ask: Which tasks are repetitive?Which documents take too long to prepare?Where do we lose time in communication?Which content needs translation?Which customer questions repeat often?Which reports are difficult to prepare?Which decisions need better information? After that, the business can choose one or two practical AI use cases and test them for a month. The second step is creating a simple AI policy. It does not need to be complicated. It should explain what employees can use AI for, what data should not be entered, who checks outputs, and when AI-generated material needs human review. The third step is training. SMEs do not need hype presentations. They need hands-on examples connected to their daily work. The real opportunity AI can help Balkan SMEs become more productive, more multilingual, more organized, and more competitive. But this will not happen automatically. The companies that benefit most will not be the ones that simply open an AI accoun…