Lucian Grainge compares AI to sampling as he accepts Northeastern's entrepreneur award

Lucian Grainge, chairman and CEO of Universal Music Group, compared “responsible AI” to the arrival of sampling. He made the comparison on June 4, 2026 at Northeastern University’s Global Leadership Summit at BAFTA in London, where he was named the first recipient of the school’s Global Entrepreneur Award. His pitch: AI extends human creativity, the way sampling once did.

What Grainge said about AI and sampling

In a fireside chat with Northeastern President Joseph Aoun, Grainge framed the technology as a creative aid for stuck writers, not a replacement for them. He called AI “a brilliant stress tester for people’s imagination,” then reached for the analogy that’s drawing attention.

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Responsible AI, using the technology for artistic brilliance, in the same way that sampling, when that came in, made an enormous difference to the creative process.

He argued the appetite for music made by people is not going away, and that AI can expand what an artist does on their best day. You wouldn’t have Soft Cell, Human League, or Depeche Mode without sampling technology, he told the BAFTA audience, according to Northeastern Global News and reported by Music Business Worldwide.

Why the sampling comparison cuts against the labels

The history Grainge is reaching for is sharper than the soundbite. Sampling did not become legitimate because everyone agreed it was art. It became legitimate after years of lawsuits, after rulings like Grand Upright v. Warner and Bridgeport v. Dimension, when clearing a sample and paying for it stopped being optional.

So the lesson of sampling is the opposite of a free pass. Creativity got protected once the people being sampled got paid. By that measure, “responsible AI” earns the comparison only if the training side pays the creators whose work trained the model, not only the catalog the label already controls.

That gap is where the money actually sits today:

• Universal has signed licensing and equity deals with AI music companies, which pay the label and its catalog first.
• Grainge has separately pushed an opt-in, artist-centric model for how AI music should work.
• The harder fight is proof of what went into training, the exact issue behind France’s Darcos bill.

Sampling pays the catalog owner and the songwriter. AI training, so far, has mostly paid the catalog owner. Until that changes, the analogy flatters the deal more than it describes it.