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Preparing for the EU AI Act: Timeline and Obligations Tutorial

Reviewing the EU AI Act timeline, this video explains how it classifies risks, the daily practices organizations should adopt, and the staged rollout starting before 2026. It notes phased obligations, with the 2026 winter milestone for inspections and penalties, and tougher duties planned for 2027–2028. It warns penalties up to 35 million or 7% of worldwide turnover, and encourages early action to avoid rushed fixes.

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how it classifies risks,
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and which habits to adopt in our day to day work.
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One very practical question remains
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when does all of this start to apply and what are the risks of ignoring it?
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The first thing to know is that the AI Act does
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not come into effect all at once on a single date.
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It is being introduced in stages,
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and some of those stages have already passed.
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Since 2025,
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certain uses have already been prohibited,
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and every organization is already required to train its teams on AI.
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Both requirements are already in force and must be respected.
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In other words,
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the AI Act is not something for tomorrow.
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It has already begun.
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The key milestone comes in the winter of 2026.
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From that point on,
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the regulator can effectively inspect organizations and impose penalties.
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This is when the regulation takes effect in a more concrete way.
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The most demanding obligations have been postponed until later,
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during 2027 and 2028,
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to allow time for everything to be put in
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place and to avoid slowing adoption by businesses.
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But this postponement does not put the AI Act on hold.
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What is already in force remains in force.
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And what happens if an organization does not comply?
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The penalties can be significant,
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up to €35 million or 7% of worldwide turnover for the most serious infringements.
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However,
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seeing the AI act only as a threat of fines would be a mistake.
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For an organization,
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getting started early is above all a way to avoid having to fix everything in a rush,
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while also gaining credibility.
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The AI Act is therefore not a distant threat.
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It has already started to apply,
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it is progressing in stages,
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and the stakes are very real.
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Understanding it is already a step ahead in
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the adoption of generative AI within your organizations.

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