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Set in Amsterdam, Netherlands from 7 October 2026 to 8 October 2026, World Summit AI 2026, the The World’s AI Summit, has established itself as a key date for the sector. Year after year it draws the people shaping the field, turning a packed schedule into a genuine exchange of ideas. Its annual cadence means there is always a next date on the horizon to aim for. The event is expected to welcome around 10000 attendees from across the world. Taets Art and Event Park provides the backdrop, with the space and facilities to match the programme.
Amsterdam is more than just a backdrop for World Summit AI 2026 — it is part of the experience. The city is well practised at welcoming international visitors and large-scale gatherings. Amsterdam keeps travel simple, with international routes in and dependable transport once you are on the ground. You will find plenty of places to stay within easy reach of the venue, whether you prefer convenience or character. There is life after the last session here: Amsterdam's food scene, culture and landmarks make for a fuller trip. Within Netherlands, Amsterdam stands out as a hub for business, trade and professional gatherings.
Talks trace a path through Artificial Intelligence, Machine Learning, AI Governance, Software Development and Software, pairing hard data with the kind of insight you only get in the room. Interactive formats keep the audience in the room and the discussion honest, well beyond the usual slide decks. Visitors will meet 100+ exhibitors ready to demonstrate what comes next for the sector.
A few focused days here can save months of trial and error back at the desk. Simply put, World Summit AI 2026 is where seasoned professionals and first-time attendees alike come to think, connect and get ahead.
Early registration often comes with the best rates and the smoothest entry, so it pays to sort your ticket ahead of time.
Who’s attends:
The full AI ecosystem, startups, academics, investors, business leaders, all the big tech companies, and the brightest AI brains as speakers.
EVPs, SVP, VP’s, Directors and Heads of AI, Machine Learning, Computer Vision, Cognitive Computing, Data Science, Data Analytics, Technology, Innovation
Professors, Ph.D. candidates, students, interns
Data Scientists, Data Analysts, Software Engineers, Developers
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