AI in Small and Medium-Sized Businesses: Between Future Opportunity and Communication Challenge

Artificial intelligence is everywhere. In the news, at conferences, in LinkedIn posts. Hardly a day goes by without new tools, groundbreaking developments, or voices of caution. For many small and medium-sized businesses, this hype feels like a distant reality—exciting, but out of reach. The real question being asked in factory floors, offices, and production facilities is: What does this have to do with us?

This reluctance is understandable. After all, small and medium-sized businesses focus on solutions, not headlines. What matters here are reliability, processes, and quality—not visions of humanoid robots or fully automated business models. At the same time, one thing is clear: anyone who wants to remain competitive today must engage with new technologies. But not recklessly; rather, with the right balance of pragmatism, practicality—and communication.

As a small or medium-sized business, do I need AI?

“Artificial intelligence is neither a gimmick nor science fiction. While large corporations may launch ‘innovation labs’ with substantial budgets, small and medium-sized businesses often have to integrate AI alongside their day-to-day operations. This leaves little room for experimentation. That is precisely why it is important to discuss AI in a clear and realistic way—not as an end in itself, but as a means to an end.”

– says Laurence Stroedter, a PR expert specializing in strategic communication and employer branding for small and medium-sized enterprises (SMEs).

When a company uses artificial intelligence to become more efficient, provide better customer service, or reduce the workload on its employees, it’s not just a technological project—it’s also an organizational one. And each of these changes requires communication. Not only externally, to show customers and partners that the company is thinking ahead, but above all internally—because that’s where the success or failure of AI implementation is decided.

What mistakes should SMEs avoid when implementing AI?

Technical capabilities are often not the problem. The real challenges lie in people’s minds. Those who have never dealt with AI fear being replaced by machines. Those with little experience using digital tools quickly feel overwhelmed. These concerns are not irrational—they are human. And this is precisely where we need communication efforts that take these concerns seriously, explain them, involve people, and provide guidance.

A common mistake: changes are communicated too late—or not at all. Decisions about new systems are made at the management level without consulting those who will eventually be using them. This leads to resistance—not because the technology is poor, but because it wasn’t implemented properly. So it’s not just about getting started with AI, but also about being able to use it effectively in everyday life—with the right narrative, the right tone, and an open ear for questions and concerns.

Communication as the key to acceptance—and to sustainability

In our work with small and medium-sized businesses, we often see just how much of a difference good communication can make. When employees are involved early on; when it’s clearly explained what AI can and cannot do; when it becomes clear how the technology actually helps in day-to-day work—that’s when skepticism turns into curiosity. And resistance turns into participation.

And the topic is relevant externally as well. After all, companies that engage with AI send a clear message: We are open to new ideas. We take an active role in shaping the future rather than merely reacting to it. This is appealing not only to customers but also to potential employees who are looking for modern, forward-thinking employers. That said, not every company needs to become an AI pioneer. All it takes is to demonstrate your stance: What does progress mean to us? Where do we use AI effectively? How do we ensure that people and machines work well together? It is precisely this stance that can be brought to light—through content marketing, PR, and employer branding.

Communication determines how we experience AI

Technological progress often sparks debate rather than immediate solutions. Especially with a topic as far-reaching as artificial intelligence, tensions arise: between speed and responsibility, between automation and humanity, between opportunities and fears. Communication plays a crucial role in this—not merely as a byproduct, but as an active force for change. How we talk about AI shapes how we use it. Language can reinforce barriers—or bring people together. It can be confusing—or provide clarity. It can fuel uncertainty—or build trust. That is why we need not only rules for using technology, but also principles for communicating it effectively.

In our KI-Manifesto, we articulate precisely these principles: that AI should not be romanticized, but rather made understandable; that responsibility takes precedence over efficiency; and that we must create narratives that do not exclude people based on biases, but rather invite them to help shape the future. After all, whether AI becomes a success story for small and medium-sized businesses depends not only on the use of smart software—but also on how we tell its story.

FAQ: AI in Small and Medium-Sized Businesses

1. How can small and medium-sized businesses use artificial intelligence?

AI is particularly effective in clear-cut use cases such as automated document processing, customer service, production optimization, and recruiting. The key is tangible benefits: more efficient processes, reduced workload for skilled workers, and improved data analysis.

2. What are the biggest challenges in AI projects?

Most of the time, it’s not about technology, but about acceptance. Uncertainty, privacy concerns, and a lack of employee involvement slow down projects. Transparent communication is therefore essential.

3. Why is communication so important when implementing AI?

AI is transforming workflows. Those who explain the changes early on, involve others, and take questions seriously build trust. Without dialogue, resistance arises—not because of the technology, but because of a lack of guidance.

4. Does AI make economic sense for small and medium-sized businesses as well?

Yes, if it’s used strategically. Many AI solutions are scalable and affordable. What’s important is having clear goals, a realistic budget, and a step-by-step approach.

5. How should small and medium-sized businesses present AI to the outside world?

Authentic and practical. Instead of buzzwords, we focus on concrete examples: How does AI help in everyday life? What added value does it offer customers and employees? Transparency builds trust and strengthens the employer brand

Conclusion: AI in small and medium-sized businesses starts with language

Ultimately, AI is not merely a technological issue. It is a cultural, human, and communicative one. Even the best AI is useless if it is not understood, accepted, and embraced. And that is precisely where the opportunity lies: when small and medium-sized businesses highlight their connection to people, their down-to-earth nature, and their focus on the practical, they can authentically convey their vision for the future. After all, true innovation doesn’t happen in the data center—it happens through dialogue.

Interested in more tips on communication for small and medium-sized businesses? In this blog post, our senior consultant and team lead, Manja, explains how storytelling works for SMEs.