AI Training for Businesses in Belgium: Why It Has Become Essential in 2024

In 2024, 75% of companies that adopt AI without training their teams achieve no significant return on investment. Discover why AI training has become indispensable for Belgian SMEs and how to structure an effective programme.

In 2024, a McKinsey study reveals that 75% of companies that adopt AI without training their teams achieve no significant return on investment. In Belgium, the situation is particularly critical: according to the Digital Wallonia Barometer 2023, only 34% of Belgian SMEs have implemented a structured upskilling programme in artificial intelligence. Meanwhile, their European competitors are accelerating. The question is no longer whether you should train your teams in AI, but how much longer you can afford to wait.

The AI Skills Gap: A Reality That Is Costing Belgian Businesses Dearly

The Belgian labour market is facing what experts now call the "AI skills gap" — a gaping divide between the skills available internally and those required to leverage artificial intelligence tools. In practical terms, this translates into measurable losses:

• 2.5 hours lost per day per employee on repetitive tasks that a well-mastered AI tool could automate in a matter of seconds
• Subscriptions to tools such as ChatGPT, Copilot or Midjourney being paid for but underused at less than 20% of their potential
• Costly errors linked to the unguided use of generative AI, particularly in the drafting of legal or commercial documents

An SME with 20 employees that fails to train its teams is potentially leaving between €80,000 and €150,000 worth of productivity on the table every year. This figure, calculated on the basis of time recoverable through intelligent automation, is difficult to ignore.

What AI Training Concretely Brings to Your Teams

Training employees in AI does not mean teaching them to code or build algorithms. For the vast majority of Belgian SMEs, it involves practical, business-oriented training focused on three fundamental pillars:

1. Mastering prompting: knowing how to formulate precise instructions to a tool like ChatGPT or Claude radically changes the quality of results obtained. A trained employee achieves in 5 minutes what an untrained one spends 45 minutes searching for — without ever truly succeeding.

2. Integrating AI into existing workflows: from email management to report creation, through to customer data analysis, every department can identify its own use cases. A well-designed training programme allows each team to map out its potential gains.

3. Adopting a critical stance towards AI outputs: AI hallucinates, makes mistakes, and can reproduce biases. Training your teams also means teaching them to verify, correct and supervise automated outputs — an essential skill for avoiding PR disasters and strategic errors.

The Legal Framework and Available Support in Belgium for AI Training

Belgium offers a particularly favourable environment for financing AI training within businesses. Several schemes make it possible to significantly reduce the investment cost:

• Training vouchers in Wallonia: up to €30 in subsidy per hour of training for Walloon SMEs, through the training voucher scheme of the Public Service of Wallonia
• The KMO-portefeuille in Flanders: reimbursement of 30% (or even 45% for very small businesses) of training costs with accredited operators
• Bruxelles Formation: co-financed programmes for Brussels-based businesses, with specific modules on digital transformation
• The tax deduction for investment: qualifying training courses may benefit from an increased tax deduction under the Belgian recovery plan

Furthermore, the European regulation on AI (the AI Act), which came into force in August 2024, imposes obligations of training and awareness-raising for companies using high-risk AI systems. Failing to train your teams is therefore also becoming a legal compliance risk.

How to Structure an Effective AI Training Programme for Your SME

Most AI training programmes fail not through lack of content, but through lack of personalisation and follow-up. Here is the method that works for Belgian SMEs:

Step 1 — Auditing current usage: before training, you need to know where your teams truly stand. Which tools are they already using? Which tasks are the most time-consuming? A quick audit of 2 to 3 hours is sufficient to identify priorities.

Step 2 — Training by role, not by department: an accountant does not have the same needs as a salesperson or an HR manager. Training segmented by professional profile generates 3 times greater adoption than generic training.

Step 3 — Immediate practical application: every training session must end with an exercise applied to a real business case from the company. This is what embeds skills and sparks enthusiasm.

Step 4 — Follow-up at 30 and 90 days: measuring the concrete impact (time saved, quality of deliverables, team satisfaction) makes it possible to adjust the programme and justify the investment to management.

Belgian companies that have followed this type of structured pathway report on average a positive ROI from the 3rd month following training.

Mistakes to Absolutely Avoid in Your AI Training Strategy

Training your teams in AI is a strategic investment — and like any investment, it can be poorly executed. Here are the most common pitfalls observed among Belgian SMEs: