Suno CEO's 'music not enjoyable' remark signals pain for session musicians

When Mikey Shulman, CEO of AI music generator Suno, stated, "It's not really enjoyable to make music now," his comment transcended mere critique. While framed as a cultural observation by TechRadar, the remark functions as a significant signal from a product leader. It hints at a future where firms prioritize AI tools and model refinement over the nuanced contributions of skilled human performers.

Where the comment came from and what it actually says TechRadar ran the story framing the quote as a CEO reaction to the broader capabilities of generative AI in media; the piece summarizes the cultural concern as "the growth of AI threatens the arts just as much as any industry – with large language models able to generate all kinds of media." The reported line — "It's not really enjoyable to make music now" — is attributed to Mikey Shulman, CEO of AI music generator Suno. The public reporting does not include Suno's internal staffing plan or product roadmap; it only reproduces the CEO's observation as a cultural diagnosis.

That absence matters for interpretation.

What the remark signals for the economics of studio labor Taken at face value, the quote is not merely a complaint about taste. In product organizations, a CEO-level statement framed against a technology's capabilities often presages a reallocation of roles and budgets: if generating music through models becomes cheaper and ergonomically preferable, firms will prioritize tooling and model refinement over hiring skilled performers.

That reallocation compresses the bargaining space for session musicians, whose premium historically came from scarce human performance, and replaces it with demand for low-paid raters, prompt designers, and metadata curators. The TechRadar article does not enumerate Suno's labor moves, but the CEO-level framing is the classic signal companies use before shrinking or reclassifying human roles.

Why the democratization story is incomplete

The common rebuttal is the democratization thesis: cheaper tools widen the pool of creators and expand the market. That is true on a participation metric, but it sidesteps capture.

When product firms own both the models and the distribution channels, marginal creation becomes a feature sale rather than a recurring premium for human craft. The TechRadar reporting highlights the cultural anxiety without unpacking how platform ownership reassigns value to datasets, model tuning, and UX.

In other words, more creators does not equal more paid work for trained musicians; it can mean more unpaid or underpaid labor funneling value into the platform's margins.

What changes for studios, unions, and procurement in the next 12–18 months Record labels and studios that currently buy session time will face a procurement choice: continue contracting human performers at scale or buy credits and model access from AI vendors. If vendor pricing favours bulk model access and licensing, studios will shift budgets from hourly musician fees to platform subscriptions and custom model budgets, centralizing bargaining with platform providers.

Unions such as the American Federation of Musicians (AFM) are the obvious institutional counterweight, yet TechRadar's piece does not report any union response; absent organized pushback, the negotiated floor for session rates is likely to drift downward as firms substitute synthetic outputs. Those dynamics are not in the TechRadar copy, but the CEO's reported sentiment is the behavioral seed for this procurement-and-labor cascade.

The counter-read you will see and why it falls short Advocates of AI music platforms will point to expanded access and new revenue for independent creators as proof the technology is net-positive. That remains a plausible outcome for amateur creators and niche monetization.

But the TechRadar report — limited and single-threaded — does not address how the industry's middle layer (professional session musicians, engineers, top-tier arrangers) will fare when demand shifts from unique human performances to scaleable synthetic production. This is the omitted connection: enjoyment or not, the CEO's remark flags a managerial calculus where human artistry becomes optional infrastructure rather than the product's core differentiator.

Three signals that would make this read wrong

If, over the next two reporting cycles, the industry's big buyers demonstrate the opposite allocation — specifically, if major record labels report increased spending on live session musicians in their 2025 earnings calls; if the American Federation of Musicians posts a net increase in unionized session musicians by Q4 2025; or if Suno or similar platforms release a paid "artist collaboration" feature in their 2025 developer updates that materially compensates and credits human contributors — then the thesis that AI tools are compressing bargaining power would be falsified. The TechRadar report does not provide evidence for or against those outcomes; it offers a CEO quote that should be read as an early warning, not proof.

The TechRadar story is the only public account in the reporting packet and offers a cultural snapshot more than a labor-market audit, which is why executives in labels, studios, and unions should treat the remark as a procurement and HR signal: review contracting terms with AI vendors, pilot compensation models that preserve human premium where it matters, and demand transparent licensing terms for datasets used to train music models. The CEO's line — "It's not really enjoyable to make music now" — is a small public artifact, but it indicates the kind of firm-level reorientation that can reshape creative labor if left unchecked.