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15 October 2025 · 4 min read · Job van den Berg

Silicon Valley versus China: two futures of AI, and the choice the Netherlands now faces

After two intensive AI trips, one through the United States, with visits to Silicon Valley and other locations, and one through China, we take stock. Two countries, two completely different approaches to artificial intelligence. Where Silicon Valley thrives on speed, experimentation, and entrepreneurship, China shows what is possible when innovation is centrally managed and rolled out on a large scale. Both systems work. But they each operate on a different logic, and therein lies the lesson for the Netherlands.

Silicon Valley versus China: two futures of AI, and the choice the Netherlands now faces

After two intensive AI trips, one through the United States, with visits to Silicon Valley and other locations, and one through China, we take stock. Two countries, two completely different approaches to artificial intelligence. Where Silicon Valley thrives on speed, experimentation, and entrepreneurship, China shows what is possible when innovation is centrally managed and rolled out on a large scale.

Both systems work. But they each operate on a different logic, and therein lies the lesson for the Netherlands.

Anyone travelling through Silicon Valley feels the energy of an ecosystem that is constantly in motion. AI here is no longer just a technology, but an infrastructure: something that drives everything, from business strategy to scientific research. But if you apply the same lens to China, you see something completely different, and at least as impressive. There, it's not about innovation through experimentation, but about innovation at scale. Where Silicon Valley flourishes on openness and speed, China excels in integration and execution. Two extremes that together dominate global AI developments. And precisely in between: the Netherlands, which is still looking for its own path.

The speed of Silicon Valley: innovation as a reflex

In Silicon Valley, the pace is staggering. The major AI labs of companies like OpenAI and Anthropic release new models at a rhythm that resembles software versions more than research breakthroughs. What is impossible today is solved tomorrow. The discussions there are not about what AI can do, but about how to make it more sustainable, efficient, and reliable. The focus is on optimisation: less energy, more performance. Everyone is working on the same stack: from chips to models, from data centres to end applications. What stands out and is also different from our trip last year is that the entire ecosystem moves in one direction. Collaboration between hardware manufacturers, model trainers, developers, and investors is close, not due to regulation, but due to a shared goal: the acceleration of intelligence. AI is not something you 'will use'; it is the engine of everything.

The scale of China: execution as strength

In China, by contrast, it is not the speed of innovation that stands out, but the scale of implementation. Where Silicon Valley builds AI, China applies it, everywhere, simultaneously, and on an unprecedented scale. During the trip through Chinese tech hubs, this was particularly striking: the extent to which AI is already interwoven into society. From smart cities to logistics hubs, from retail to healthcare, everything revolves around data-driven decision-making. Chinese companies do not wait until the technology is 'finished'. They build while they implement. Experimentation doesn't happen in labs but in the real world. And because the government, industry, and universities work closely together, a flywheel of policy, funding, and execution is created that is difficult to match. Where Silicon Valley thrives on entrepreneurship, China thrives on coordination. The result: an unprecedented speed of adoption, but often less room for fundamental reflection or ethical counter-force.

Two systems, two logics

Both models yield impressive results. But they also highlight each other's weaknesses:

  • In Silicon Valley, speed can lead to rushed implementations and ethical blind spots.
  • In China, centralisation can stifle innovation and suppress creativity.

And the Netherlands? A country between ambition and hesitation

The Netherlands finds itself in an awkward middle position. We possess talent, infrastructure, and knowledge, but lack focus and pace. We have the creativity of Silicon Valley, but not the investment rhythm. We have the organisational power of China, but not the decisive action. The result is that AI here often gets stuck in pilot projects, strategy consults, and policy documents. The real scale, where AI transforms processes, companies, and sectors, is yet to materialise. The core question, therefore, is not whether the Netherlands can participate, but whether we dare to choose. To choose a direction, a vision, a national ambition that goes beyond isolated initiatives.

What we can learn from both worlds

1. From Silicon Valley: dare to accelerate

Innovation requires freedom, not permission. The Netherlands must create space to experiment, make mistakes, and learn. Rapid iteration is the engine of progress.

2. From China: dare to scale

Good ideas die in the pilot phase if there is no policy or infrastructure to scale up. The Netherlands has strong knowledge institutions and companies but lacks an integrated system in which government, business, and education collaborate.

3. From both: dare to steer

AI should not only be a technological project but also a societal compass. We must determine what we want to use AI for: not just for efficiency, but for broad progress.

The strategic lesson for the Netherlands

The AI revolution will not wait until we are ready for it. China is building scale, Silicon Valley is building speed, and both are building for future leadership.

If the Netherlands wants to remain relevant, we must combine the unique strengths of both worlds:

  • The agility and innovation culture of Silicon Valley.
  • The coordination and scaling power of China.

This demands vision, courage, and collaboration. Not waiting until it is 'safe' to experiment, but taking the leap now. Because the future of AI will not be written by the fastest or the largest, but by those who dare to act most purposefully.

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About the author

Job van den Berg is an AI keynote speaker, tech entrepreneur and author of five books on AI. He ships AI agents into production every week and delivers 150+ keynotes a year on AI agents and agentic commerce.

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