When the topic of AI and regulation comes up, SMEs often feel at a disadvantage – too few staff, too little specialist knowledge, too little time. Yet in doing so, they overlook an advantage that large corporations do not have so easily: proximity to the front line. This factor is more decisive when it comes to AI than one might think.
The underestimated advantage: proximity to the practical side of things
When it comes to AI, SMEs have something that is in short supply in large corporations:
- Short decision-making paths.
- Direct coordination.
- Fewer corporate layers.
- Faster implementation.
A comparison illustrates what this means in practice. In a large corporation, an AI policy passes through several committees and rounds of consultation, often ending up as a lengthy document that hardly anyone reads. In an SME, the Management / Executive and HR can clarify the rules in a single afternoon – and inform the workforce on Monday. This speed is worth a great deal.
But – and here’s the catch – it’s only an advantage if it results in clear standards and practical training. Short lines of communication that nobody uses remain untapped potential.
The key point is this: not every company needs a complex AI governance programme straight away. But every company benefits from clear internal rules that work in day-to-day operations. SMEs, in particular, do not need the cumbersome corporate machinery – but rather a lean, clear version. And that is precisely what they can build more quickly than any large corporation.
AI is not purely an IT issue
A common misconception stands in the way of this: AI in business is often treated as an IT issue. It then ends up with the IT department – which deals with tools, access and security. All of these are important. But none of the human questions are answered by this alone.
Because AI touches on far more than just technology: leadership, HR, communication, data protection, responsibilities and a culture of learning. Who is allowed to do what? How do we talk about it? What does the team learn, and who keeps them up to date? These questions aren’t found in the server room – they lie with leadership and HR. That’s why purely technical answers usually fall short.
The real challenge isn’t just which tools are used. It’s how a company creates a framework in which this use becomes transparent, understandable and internally sustainable.
Where AI becomes part of everyday life, organisation becomes the key issue.
Not noise, but clarity
When it comes to AI, companies don’t need noise. They need clarity.
Noise is the big kick-off event, the strategy paper full of buzzwords, the announcement ‘We’re now going AI-first’. That generates attention – but no direction. Clarity is quieter and more unassuming. It answers the questions that really arise in day-to-day life:
- What are our internal guidelines?
- How can staff make more confident decisions?
- Which standards provide guidance?
- And how can knowledge be not just shared, but truly understood?
That sounds unspectacular. Yet it is often precisely the difference between haphazard use and robust practice. Three straightforward rules that everyone knows, and a clear point of contact, are more effective in day-to-day life than any glossy initiative.
More than efficiency: a question of organisational responsibility
One final misconception remains: viewing AI solely as an efficiency issue. Of course, productivity is also a factor – efficiency is the reason why AI is spreading so rapidly in the first place. But that is not the whole story..
For as its use grows, so does the responsibility. It is equally about:
- Roles
- Responsibilities
- Communication channels
- Training
- transparent internal standards
These are not questions of efficiency, but of organisation. And they do not disappear if you ignore them – they simply resurface later and in a more uncontrolled manner. So anyone who views AI solely in terms of time saved is overlooking half the picture.
This is precisely why the use of AI in business is no longer just a short-term trend. It is part of modern organisational responsibility.
The advantage is there for the taking – you just have to make use of it
This brings us full circle. The topic begins with the realisation that AI has long since become part of everyday life – and ends with the recognition that its orderly use is part of responsible leadership. There is nothing spectacular in between. Just the willingness to create clarity before disorder takes hold.
SMEs are better positioned for precisely this approach than they often realise: short lines of communication, quick decisions, and a close connection to practical operations. The advantage is there for the taking. You just have to make use of it.
This is exactly what the EU AI Act Academy is designed for: not a corporate programme, but accessible training and clear standards that actually work in the day-to-day operations of SMEs – quickly implemented, transparently documented and kept up to date.