Mikey Shulman didn’t mince words. On a venture capital podcast in early 2025, the CEO of Suno declared that traditional music creation often misses the mark for most people. “It’s not really enjoyable to make music now,” he said. “It takes a lot of time. It takes a lot of practice. You need to get really good at an instrument or really good at a piece of production software. I think the majority of people don’t enjoy the majority of the time they spend making music.”
The remarks, pulled from his appearance on TechRadar, landed with a thud. Musicians across genres pushed back hard. They saw the statement as a dismissal of the craft they had honed over years. The joy, they countered, comes precisely from that grind. The hours spent wrestling with chords. The frustration that yields breakthroughs. Shulman’s words struck many as tone-deaf. Especially from the head of a company whose technology promises to bypass all of it.
Suno lets users type a prompt and receive full songs. Lyrics, vocals, instrumentation. All generated in seconds. The startup trained its models on vast troves of existing music. Much of it copyrighted. That choice triggered lawsuits from major labels including Universal, Sony and Warner. They allege unauthorized use of their catalogs. Suno has argued fair use. Yet the legal fights continue even as the company scales.
By mid-2026, Suno claimed output of 7 million songs daily, according to an investor pitch deck referenced in a Billboard podcast. Adoption spans Grammy winners experimenting in songwriting camps to casual users. Grandmothers, even. The firm rolled out features like Hooks, a TikTok-style feed for sharing creations. It struck deals, including one with Warner Music Group. And it shifted toward licensed training data to ease tensions.
But the original quote refused to fade. Backlash built on social media and industry forums. Artists argued Shulman missed the point. The labor isn’t a bug. It’s the feature. The struggle forges emotional depth that prompts can’t replicate. One producer called it a “cultural gut punch.” Others organized. A plane flew over an AI investor summit in Santa Monica in June 2026. Banners read “SAY NO TO SUNO” and “STEALING MUSIC IS BAD KARMA,” reported by Music Business Worldwide.
The Backlash and the Walk-Back
Shulman later reflected. In a March 2026 Billboard interview, he admitted, “I really wish I had chosen different words.” He added that he holds “a lot of respect for music.” The apology came months after the initial firestorm, per MusicTech. Yet it did little to quiet critics who saw the comment as revealing a deeper philosophy. One that views human effort as inefficiency rather than essence.
A blog post from independent musician Vohnic captured the sentiment. It framed Suno’s approach as exposing a cultural rift. Music’s value, the author asked, stems from human vulnerability or instant output? “The quote sparked widespread backlash from musicians, who view the struggle and effort in creating music as central to its meaning,” the piece noted. It highlighted lawsuits and the risk of infinite AI supply flooding platforms. Value could erode. Human connection might thin. Vohnic Music called it a test for what society truly wants from art.
And the numbers back the anxiety. Research cited across reports suggests music workers risk losing up to 25% of income over coming years as AI tools proliferate. Streaming services experiment with AI tracks to cut costs. Some platforms label or demonetize fully generated content. Tidal drew lines. Others waver. The flood of output creates discovery problems too. How does a human artist stand out when millions of tracks drop daily?
But. Not everyone sees doom. Shulman has positioned Suno as expanding the pie. More people making music means bigger audiences, he argues. New fans. Fresh ideas. In later comments, he emphasized music’s social power. Its role in live events. The developed tastes listeners bring. AI, in his view, won’t degrade that. It might elevate access. Turn listeners into creators. “Music has a very different place in culture,” he told a Sequoia podcast, per recent X discussions.
Industry insiders watch the experiments. Songwriting camps blend AI with human input. Grammy artists test prompts then refine outputs. Hobbyists gain entry without years of scales. Production software once required expertise. Now text does the heavy lift. The barrier drops. So does the time.
Still, veterans insist the path matters. Practice builds intuition. Failure teaches. Emotion flows from lived experience, not prompts. A fragment of melody born from struggle carries weight a generated track rarely matches. Or so the argument goes.
Legal outcomes will shape the field. Courts weigh fair use against artist rights. Consent emerges as the flashpoint. Training on unlicensed work feels like theft to many. Even if models improve. Suno now pursues licensed paths. Others follow. Yet the early data sets remain baked in.
Recent coverage adds layers. A Forbes piece from late 2024 warned of market saturation by 2025, with independent artists squeezed. “AI-generated content will saturate the market, leaving most artists unable to compete,” it stated. Newer reports from 2026 echo concerns over royalties and visibility. Streaming payouts already favor volume. AI excels there.
Platforms respond unevenly. Some remove AI tracks. Others integrate. YouTube and Spotify tweak policies. Labeling requirements surface in proposals. The debate spills into regulation. Consent, transparency, control. These terms dominate talks.
Shulman’s company pushes forward. Vertical tools. Social features. Partnerships. It bets on growth over replacement. Music won’t die. But its economics and creation rituals could transform. Hobbyists thrive. Professionals adapt or niche down. Live performance gains premium as authentic connection.
The controversy lingers because it touched a nerve. Shulman’s quote crystallized fears that AI doesn’t just assist. It redefines effort as optional. For an industry built on blood, sweat and late nights, that stings. Artists didn’t just create songs. They lived them.
So what now? More tools emerge. Models advance. Output swells. Yet the human element persists in concerts, collaborations and raw expression. Suno generates millions daily. The question remains whether those tracks resonate like the ones forged in practice rooms and imperfect takes. Time will tell. The backlash already has.
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