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5 November 2025 · 3 min read · Job van den Berg

Grokipedia: how Elon Musk tightens his grip on knowledge

Elon Musk does it again. After Tesla's electric cars, Neuralink's brain implants, SpaceX's space travel and the AI chatbot Grok, he has now set his sights on something perhaps even more fundamental than technology itself: knowledge.

Grokipedia: how Elon Musk tightens his grip on knowledge

With the launch of Grokipedia, an alternative to Wikipedia, Musk is trying to build a platform that would be 'more objective'. At the same time, he is further expanding his influence. Behind the facade of innovation lies a much larger story: the battle for who decides what is true in the AI era.

From sharing knowledge to controlling knowledge

Wikipedia has been the internet's compass for twenty years. Millions of people consult it daily to check facts or gain basic knowledge. The platform is built on one principle: openness. Everyone is allowed to contribute, check and correct.

Musk sees it differently. He has long called Wikipedia 'Wokepedia', too left-leaning, too politically correct, too subjective. His answer: an AI-driven encyclopedia, powered by his own model Grok, part of his AI company xAI.

On paper, that sounds like progress. After all, AI can write faster, make connections and generate new knowledge. But there's a catch: who trains that AI? And with what data?

Unlike Wikipedia, where discussion and diversity of perspectives are built in, Grokipedia will be a system in which the algorithms of a single company determine what counts as fact. That's not the democratisation of knowledge; it's its centralisation.

The tentacles of a knowledge empire

Musk doesn't just build companies; he builds an ecosystem.

  • Tesla gives him data on how people move around.
  • Neuralink focuses on how people think.
  • X (formerly Twitter) determines how people communicate.
  • And now, with Grokipedia, he is venturing into the territory of how people learn and know.

It's a visionary but also concerning whole. Because imagine: a future where our means of transport, social networks, information sources and brain interfaces are all connected to the same AI. Then one man will have not only market power but also knowledge and influence power.

What starts as a new knowledge platform can thus grow into a power centre of interpretation. Musk then no longer needs to tell us what to think; his technology quietly determines what we have access to and what information becomes visible.

From facts to framing

The introduction of Grokipedia shows how the internet is shifting. Where once communities and volunteers shaped knowledge, now companies and algorithms are taking over that role. AI systems are not necessarily wrong, but they are not neutral either. They carry the assumptions of their creators, the data they were given, and the goals for which they were designed.

And that's precisely where the rub is. When someone like Elon Musk, with his outspoken political preferences, influential platforms, and billions in budget, says he wants to bring 'objective knowledge', it's good to ask:

'Objective for whom?'

The battle for trust

As a marketer and knowledge worker, I see an important lesson here. In the coming years, it will no longer be about who has the most data, but about who manages to maintain the most trust. Knowledge platforms, brands, and organisations must show how they form their information, what sources they use, and what values underpin them.

Transparency and humanity will become the new currency of credibility.

In conclusion

Grokipedia is more than a new website. It is a symbol of an era in which power is shifting from governments and communities to tech companies. Musk says that with Grokipedia he wants to 'restore the truth'. Perhaps. But if one person owns the infrastructure of how we drive, communicate, think and learn… then it's time to ask ourselves:

Who will determine our reality soon, ourselves, or a billionaire's algorithms?

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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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