As Suno Celebrated a $5.4 Billion Valuation, Artists Took Their Message Directly to Wall Street

SANTA MONICA, CALIFORNIA – JUNE 03: A mobile billboard sponsored by Human Artistry protesting Suno’s use of AI is pictured on display during Suno’s annual meeting on June 03, 2026 in Santa Monica, California. (Photo by Anna Webber/Getty Images for Human Artistry Campaign)

On June 3, 2026, as investors and technology executives gathered at the UBS AI in Entertainment Summit at Shutters on the Beach in Santa Monica, a plane circled overhead carrying a simple message: “SAY NO TO SUNO.” A second banner could just as easily have read, “Stealing Music Is Bad Karma.” The scene was more than a protest against a single AI music company. It was a reminder that technology itself is neither good nor evil; what matters is how humans choose to use it. Throughout history, some of the most transformative technologies have been driven by the same motivations that power every bully: greed and fear. Fear of being left behind. Fear of missing out. Greed for market share, dominance, and wealth and crushing anyone who gets in the way. The generative AI race increasingly appears to be driven—and corroded—by both.



That is why the protest above Santa Monica was about more than music. It connected directly to a broader national backlash against the infrastructure being built to support the AI economy. Across the United States, communities are fighting data centers, transmission lines, water consumption, tax subsidies, and industrial development projects that many believe are being imposed without meaningful public consent. Residents from Texas to Georgia to Louisiana are asking the same basic question: who benefits, and who pays the price?

In the case of generative AI, artists argue that they are among those paying the price.

The Human Artistry Campaign demonstration took place on the same day that Suno announced a funding round exceeding $400 million at a valuation of approximately $5.4 billion. Let it not be said that music has no value and that Suno is not free riding on a thriving market to extract their absurd valuation.

While Silicon Valley investors celebrated another milestone in AI’s rapid expansion, the protest highlighted an uncomfortable reality: much of the value being created by generative AI companies originates from extracting human expression while paying no regard whatsoever to those humans. Whether the source material is music, visual art, photography, authors, voice performances, or other creative works, creators continue to ask how their contributions found their way into commercial AI systems and demand the right to say no to Suno.

SANTA MONICA, CALIFORNIA – JUNE 03: A plane sponsored by Human Artistry protesting Suno’s use of AI is pictured on display during Suno’s annual meeting on June 03, 2026 in Santa Monica, California. (Photo by Anna Webber/Getty Images for Human Artistry Campaign)

The narrative that the AI labs want you to focus on is often framed as a conflict between innovation and regulation. That framing misses the point. The real question is whether innovation requires the abandonment of consent, compensation, and accountability. Human Artistry’s message was not anti-technology. Rather, it was that technology should serve human beings rather than treating them as raw material for extraction.

That concern increasingly links artist-rights advocates with communities opposing AI infrastructure projects using eminent domain powers to seize homes and compel residents to acept 765kV transmission lines. Both groups are confronting different manifestations of the same phenomenon: the concentration of economic gains among a relatively small number of companies while costs are dispersed across creators, workers, taxpayers, ratepayers, and local communities. One side sees its creative works absorbed into training datasets. The other sees land, water, energy resources, and public subsidies redirected toward facilities designed to power those systems.

Viewed through that lens, the protest at Shutters on the Beach becomes part of a much larger story. The controversy surrounding generative AI is no longer confined to copyright litigation or entertainment-industry politics. It now reaches questions of energy policy, infrastructure planning, local governance, environmental impact, and economic fairness.

The image of a protest banner flying above an investor summit captures that convergence perfectly. Below, financiers discussed the future of artificial intelligence and celebrated millions of dollars in new investment while licking their IPO chops in drooling anticipation of getting richer still on the backs of humanity. Above, artists and advocates posed a simpler question: if the future is being built on human creativity, shouldn’t the humans who created it have a meaningful voice in how that future is constructed?


That question is impossible to ignore. As billions continue to flow into AI companies and the infrastructure supporting them, the debate is no longer merely about technology. It is about power, consent, and who gets to decide how the benefits of human creativity and expression are captured by the Big Tech kleptocrats.

“You don’t need to train on novels and pop songs to get the benefits of AI in science” @ednewtonrex


You Don’t Need to Steal Art to Cure Cancer: Why Ed Newton-Rex Is Right About AI and Copyright

Ed Newton-Rex said the quiet truth out loud: you don’t need to scrape the world’s creative works to build AI that saves lives. Or even beat the Chinese Communist Party.

It’s a myth that AI “has to” ingest novels and pop lyrics to learn language. Models acquire syntax, semantics, and pragmatics from any large, diverse corpus of natural language. That includes transcribed speech, forums, technical manuals, government documents, Wikipedia, scientific papers, and licensed conversational data. Speech systems learn from audio–text pairs, not necessarily fiction; text models learn distributional patterns wherever language appears. Of course, literary works can enrich style, but they’re not necessary for competence: instruction tuning, dialogue data, and domain corpora yield fluent models without raiding copyrighted art. In short, creative literature is optional seasoning, not the core ingredient for teaching machines to “speak.”

Google’s new cancer-therapy paper proves the point. Their model wasn’t trained on novels, lyrics, or paintings. It was trained responsibly on scientific data. And yet it achieved real, measurable progress in biomedical research. That simple fact dismantles one of Silicon Valley’s most persistent myths: that copyright is somehow an obstacle to innovation.

You don’t need to train on Joni Mitchell to discover a new gene pathway. You don’t need to ingest John Coltrane to find a drug target. AI used for science can thrive within the guardrails of copyright because science itself already has its own open-data ecosystems—peer-reviewed, licensed, and transparent.

The companies like Anthropic and Meta insisting that “fair use” covers mass ingestion of stolen creative works aren’t curing diseases; they’re training entertainment engines. They’re ripping off artists’ livelihoods to make commercial chatbots, story generators, and synthetic-voice platforms designed to compete against the very creators whose works they exploited. That’s not innovation—it’s market capture through appropriation.

They do it for reasons old as time—they do it for the money.

The ethical divide is clear:

  • AI for discovery builds on licensed scientific data.
  • AI for mimicry plunders culture to sell imitation.

We should celebrate the first and regulate the second. Upholding copyright and requiring provenance disclosures doesn’t hinder progress—it restores integrity. The same society that applauds AI in medical breakthroughs can also insist that creative industries remain human-centered and law-abiding. Civil-military fusion doesn’t imply that there’s only two ingredients in the gumbo of life.

If Google can advance cancer research without stealing art, so can everyone else and so can Google keep different rules for the entertainment side of their business or investment portfolio. The choice isn’t between curing cancer and protecting artists—it’s between honesty and opportunism. The repeated whinging of AI labs about “because China” would be a lot more believable if they used their political influence to get the CCP to release Hong Kong activist Jimmy Lai from stir. We can join Jimmy and his amazingly brave son Sebastian and say “because China”, too. #FreeJimmyLai

@RickBeato on AI Artists

Is it at thing or is it disco? Our fave Rick Beato has a cautionary tale in this must watch video: AI can mimic but not truly create art. As generative tools get more prevalent, he urges thoughtful curation, artist-centered policies, and an emphasis on emotionally rich, human-driven creativity–also known as creativity. h/t Your Morning Coffee our favorite podcast.