The latest AI developments in the Netherlands: from talk guides to practical implementation

Estimated reading time: 9 minutes

Key takeaways:
  • Very rapid growth of AI companies in the Netherlands since the arrival of ChatGPT
  • Major gap between knowledge sharing and actual implementation: many providers focus on inspiration sessions, few on structural automation
  • 23% of SMEs actually apply AI in business processes, policy target: 75% within six years
  • Practical success requires an end-to-end approach: from assessment to implementation and ongoing guidance & compliance
  • Choose partners that combine business and technical expertise for measurable and future-proof results
Table of Contents

Dutch AI growth: between buzz and actual automation

The rise of artificial intelligence (AI) in the Netherlands is unstoppable. From large tech companies to small startups: countless enterprises now position themselves as experts, innovators or advisors in this field. But what does the Dutch AI landscape really look like, and what does this proliferation of AI gurus and advisory firms mean for organizations that actually want to take steps in automation and workflow optimization?

In this blog, we take you through the most important developments, provide insights from recent reports, and explain where the real added value lies for organizations that want to go beyond knowledge sharing alone. We also refer to recent media reports such as this article from BNR which highlights the growing number of AI companies in the Netherlands since the arrival of ChatGPT.

Rapid developments and opportunities for Dutch businesses

Developments in the field of artificial intelligence are progressing at high speed worldwide and certainly also in the Netherlands. Partly thanks to substantial public and European investments, such as those from the Digital Europe program and direct government support for AI, data, cloud and cybersecurity projects, a fertile breeding ground for innovation is emerging.

Figures from the Chamber of Commerce and CBS show that since 2022 there has been a sharp increase in the number of companies in the Netherlands focusing on AI. As BNR also reports, the AI Barometer report from the KvK showed that the number of registered companies in the AI sector increased by approximately 30% following the introduction of ChatGPT. By mid-2024, there were more than 3,400 companies specifically focused on AI, with a substantial increase since the end of 2022 (source: KvK AI Barometer 2024, CBS).

Some dominant trends setting the tone for the coming years:

  • AI agents: Autonomous software that performs tasks automatically. Within organizations, these AI agents are already being actively used for data analysis, writing research proposals, or even autonomously handling email communication.
  • Speech recognition & content generation: Generative AI developments enable businesses to produce content more efficiently and automate processes – from text to speech (source).
  • Accessibility versus complexity: AI is becoming more accessible, but at the same time requires thoughtful management and the integration of diverse systems – including privacy and ethical considerations (source).

Dutch AI companies: lots of knowledge sharing, little implementation

The growth and professionalization of the Dutch AI ecosystem is impressive. But those who delve into the market structure see a striking divide emerging:

The overrepresentation of AI advisors and "gurus"

A significant portion of Dutch AI companies consists of consultants, trainers and workshop facilitators focused on selling knowledge. They organize training sessions, inspiration events, lectures and publish blogs or whitepapers about AI trends (source).

According to sector reports and industry researchers, the picture is clear: the majority of SME players are primarily focused on talking, training and advising about AI, rather than actual technical application. Experts estimate that the bulk of providers operate in this advisory role, especially among smaller companies and independent professionals (source).

The smaller group of technical AI implementors

In contrast, there is a much smaller but growing group of parties that actually focuses on:

  • Development, implementation and integration of AI tools in business processes: for example, automating administrative workflows, predictive analytics, robotization, chatbots.

Government figures make this clear. In 2024, 23% of Dutch SMEs actually used AI in their business processes. This is growing, but stands in stark contrast to the number of companies that only use AI as a 'discussion topic'. As BNR also reports, many new AI companies are focused on advisory services, and actual implementation is still often limited to pioneers.

Policy target: 75% SME adoption within six years (compared to 13% in 2021). In the coming years, the emphasis will be on scaling up and practical applications across the board.

The challenge: from talking to doing

The current Dutch AI landscape offers opportunities, but also presents a challenge for organizations confronted with an increasing supply of training courses, podcasts and inspiration sessions. Because how do you prevent AI from remaining just a hype or theoretical concept?

Decision-makers should therefore ask themselves the following questions:

  • Does a workshop or advice actually deliver something for our daily processes?
  • When do we make the step from experimenting to structural automation and ROI?
  • How do we ensure that AI solutions fit within privacy, security and compliance?

Practical approach: from assessment to implementation

Where most parties stop at inspiration sessions and strategic notes, it is smarter to choose a partner that guides you toward actual implementation and embedding. A proven, pragmatic approach is crucial here:

  • AI Assessment: Map out where AI can make the biggest difference within your processes. Combine business insights with technical expertise.