Why Small Businesses Need AI Control, Not Just Free Tools

OpenAI recently launched a big training program called "ChatGPT for Small Businesses"—or "voor kmo's" as we say here in Belgium. They are offering free step-by-step guides, online training sessions, and physical academies, while partnering with popular business apps like Shopify, Slack, and Wix. On the surface, this looks like a wonderful gift for small companies. But as an outside observer watching this industry closely, I see something very different. To me, this is not a charity project but a strategic distribution move: a clever way to tie your business to a single vendor's ecosystem.

The Lock-In Trap

What stands out to me is how OpenAI is investing heavily in getting your business started on their platform. By teaching you and your staff how to use their specific tools for free, they are making sure your daily business processes become tied to their technology. The moment your daily tasks are linked directly to their system, their tools become your central engine. Useful? Yes, in the short term. But this convenience comes at a price: you lose your independence. The way I see it, free training is a vendor's investment in keeping you as a customer, not a favor.

The Reality Behind the Marketing

We often hear the marketing promise that these programs bring "enterprise-grade AI" to everyone. Personally, I think this is mostly hype. A local SME is not getting the top-tier, high-power versions that giant corporations use. Instead, you get a cheaper, lower-quality version designed for mass use.

Furthermore, focusing too much on specific version numbers—like the GPT-5.6 model mentioned in recent news—strikes me as a mistake. The AI market moves in weeks, not years, so fixing your strategy on version numbers is pointless.

To stay smart, you should never rely on just one provider. In fact, 81% of large companies already use three or more different AI model families at the same time. A mature business strategy means being "multi-model."

You also have other great options. For example, Anthropic launched "Claude for Small Business" in May 2026, and tools like Microsoft Copilot and Google Gemini are already built directly into the office software you likely use every day. My rule of thumb is simple: stick to the software suite you already run. Only add separate, standalone AI tools when your workflows completely outgrow what your current suite can do.

You Are Still Liable

Another major issue I see is liability. When you connect an AI helper to your Shopify, Slack, or financial tools, that assistant is taking real actions with your real business data. If the AI makes a mistake, you are legally responsible.

We saw this clearly in a 2024 court case involving Air Canada. The airline tried to argue that its chatbot was a separate entity and that the company should not be blamed for its misleading answers. The court completely rejected this defense. You cannot blame the machine; the errors remain your errors. In Europe, strict privacy laws like GDPR make this double the risk.

The EU Regulatory Clock is Ticking

In Europe, using automated AI helpers is not just a simple productivity choice—it is a highly regulated decision. And the clock is ticking fast.

The Digital Omnibus is now finalised. It postpones the heaviest high-risk obligations (such as hiring and credit scoring) until late 2027 — but the transparency and enforcement rules still take effect on 2 August 2026. So this is not a general postponement.

Belgium has now set its supervisory model in place: under Article 77 of the AI Act it has designated a list of 21 sectoral bodies for high-risk oversight, with BIPT as the market surveillance authority and coordinator. That actually strengthens my point — you can no longer hide behind a missing regulator.

The wider EU rules and GDPR still apply to you regardless. And the penalties for getting it wrong are severe. If you provide incorrect or misleading information to the regulator—which is one specific category of fine—SMEs can face massive fines of up to 7.5 million euros or 1% of their global yearly sales. For SMEs, the lower of these two amounts will apply, but it is still easily enough to bankrupt a small business.

Do Not Believe Every Stat

As an observer, I also recommend being skeptical of the data these tech companies share. For instance, the original reports boast about the "o1 reasoning model" beating human experts on advanced math and science tests. However, those o1 scores are actually from 2024, and they have already been surpassed by newer models like o3. This just shows how quickly AI knowledge goes out of date. If you rely blindly on old training materials, you are already behind.

My Advice for Business Leaders: Choose Governance

So, how should a business leader react? The right response is not blind excitement, nor is it total rejection. The answer is governance—staying in control. Instead of asking "how do I start?" we must ask "how do I keep control of my data and processes?"

Here are my key action points for any business leader:

Policy before tools: Set up a clear AI usage policy and a central approval process before you let any new AI helpers into your company. This stops "shadow AI"—where employees secretly use random tools—from taking over your workflows.
Keep humans in control: Always have a human review any action that has external, legal, or financial consequences. Under the EU AI Act, using AI for sensitive areas like hiring or credit decisions is considered highly risky.
Focus on quality, not speed: The winners in the AI era will not be those who automate everything the fastest. The winners will be the businesses that choose clear, measurable workflows, limit who has access to the tools, and use AI to strengthen human judgment, not replace it.