Artificial intelligence is giving musicians access to capabilities that once required considerably more money, technical expertise, and industry infrastructure. That shift has obvious implications for independent artists. It also raises a harder question for the music business: what happens to the traditional artist-label relationship when artists can do more on their own?
For Darren Herft, a global music executive whose commentary spans music, entertainment, technology, and business, the starting point is the artist. His existing commentary argues that AI is lowering production barriers and giving musicians access to technologies that were once concentrated among major studios and large record labels.
That does not mean record labels are disappearing. The evidence points toward something more complicated.
Global recorded music revenue reached $31.7 billion in 2025, marking an eleventh consecutive year of growth. Streaming generated nearly 70% of that revenue, while the number of paid streaming subscription accounts reached 837 million worldwide. Record companies remain at the center of an expanding global business.
What AI is changing is the division of labor.
Artists can increasingly handle parts of creation and production independently. At the same time, major music companies are moving deeper into AI licensing, rights protection, artist services, and technology partnerships.
The artist-label relationship is not simply being eliminated by AI. It is being renegotiated.
Artists Can Do More Before They Need a Label
For decades, one of the strongest advantages of signing with a record label was access.
Recording music professionally required studios, engineers, producers, equipment, distribution relationships, marketing resources, and capital. The label could assemble those resources in ways an individual artist often could not.
Technology has steadily weakened some of those barriers.
Digital production made sophisticated recording possible outside major studios. Streaming opened global distribution to independent musicians. Social platforms created direct channels between artists and audiences.
AI pushes that process further.
Artists can now use AI-assisted technologies for idea generation, production, arrangement, source separation, mixing, mastering, and other parts of the creative process.
This is one of the clearest themes in Darren Herft’s existing commentary. He argues that musicians are gaining access to technologies previously available primarily through major studios and large record labels. In his view, the significance of AI may therefore be less about replacing artists than expanding what artists can create, produce, and distribute independently.
That changes an important part of the traditional relationship.
An artist who can develop a professional recording, experiment with different arrangements, release music, and begin building an audience independently arrives at the negotiating table in a different position from an artist who needs financing and infrastructure simply to get started.
AI is not responsible for that shift by itself. But it is accelerating it.
Lower Barriers Do Not Make the Music Business Easy
There is an important distinction between making music and building a career around it.
AI can help lower the cost of production. It cannot guarantee attention.
That difference matters because the modern music market has an abundance problem.
Streaming revenues surpassed $22 billion globally in 2025, and streaming accounted for 69.6% of recorded music revenue. Paid subscriptions alone accounted for 52.4% of total industry revenue.
The market is enormous, but artists are competing inside a global system containing an extraordinary volume of music.
Darren Herft has already identified this tension in his commentary on independent artists. Streaming gives musicians access to audiences around the world, but it also places millions of creators in competition for the same listeners. AI can lower production costs and allow more people to participate, which is positive for access, while simultaneously making the competition for attention even more intense.
This is where predictions about the disappearance of record labels become too simplistic.
An artist being able to produce music independently does not mean that artist can automatically market it globally, negotiate major commercial partnerships, administer complex rights, build international campaigns, or turn attention into a durable career.
The bottleneck is shifting.
Creation is becoming more accessible. Attention, scale, rights management, and commercial leverage remain scarce.
Labels Are Moving Into AI Rather Than Away From It
The response from major music companies is already visible.
Instead of treating generative AI solely as an outside threat, record companies have begun negotiating agreements that place licensed music and artist rights inside emerging AI business models.
In November 2025, KLAY announced AI licensing agreements with Universal Music Group, Sony Music Entertainment, Warner Music Group and their respective publishing businesses.
The significance of the agreement is not simply that major labels are working with an AI company. KLAY’s model is built around licensed music, meaning the companies are attempting to establish a commercial structure in which AI development and existing music rights can coexist.
Warner Music Group has been explicit about the economics behind that strategy. Its stated AI principles require licensed models, economic terms that reflect the value of music, and artist and songwriter choice over uses of their names, images, likenesses, voices, or songs in new AI-generated content.
Universal Music Group has been moving in a similar direction.
In late 2025, UMG reached an agreement with Udio that settled copyright litigation while creating a framework for a new licensed AI music platform. The planned service is based on authorized and licensed music and is intended to create additional revenue opportunities for participating artists and songwriters.
The message from the largest music companies is increasingly clear.
The argument is shifting from whether AI belongs in music toward the terms under which it belongs.
The New Battleground Is Rights and Revenue
This development connects directly with Darren Herft’s strongest documented position on AI music.
“The number one aspect that we all want to see protected is that genuine creative music artists are not compromised,” Darren Herft has said.
Herft’s position is not anti-technology. His commentary repeatedly argues that AI can support musicians by lowering costs, improving workflows, and expanding creative capabilities. But he also argues that artists need recognition, ownership, and fair opportunities to earn from what they create.
That becomes particularly important as labels negotiate directly with AI companies.
In May 2026, Universal Music Group and Spotify announced licensing agreements for AI-powered fan-created covers and remixes. Under the model, participating artists and songwriters can share directly in the value generated by licensed AI covers and remixes.
That is a materially different economic model from simply allowing generative systems to use music without permission.
It also points toward a potentially important role for labels in an AI-heavy music industry: aggregating rights and negotiating the terms under which valuable catalogs and artist identities can be used.
AI may reduce an artist’s dependence on traditional production infrastructure while simultaneously increasing the importance of sophisticated rights management.
Those two trends can exist at the same time.
Artist Protection Could Become a Bigger Part of Label Value
Rights protection is already becoming a substantial operational issue.
Warner Music Group reported that its efforts led to the detection and removal of more than 13,000 unauthorized AI-generated tracks across ten major platforms during 2025. The company also said it had strengthened protections in licensing agreements and continued monitoring platforms for AI-generated material infringing copyright and personality rights.
Universal Music Group has likewise formally reserved its rights against unauthorized use of its controlled music and other content for AI training, development, or commercialization without a written license.
For an individual independent artist, policing unauthorized uses across platforms can be considerably harder.
That creates an interesting reversal.
AI gives individual artists more technological power to create independently. But the same technology creates new forms of rights complexity that can reward organizations with scale, legal resources, catalog leverage, and the ability to negotiate directly with technology companies.
Darren Herft’s commentary does not prescribe a specific role for record labels in solving that problem, and it would be inaccurate to attribute one to him.
What his position does establish is the principle by which these developments should be judged.
Herft believes AI should be evaluated partly by whether it helps musicians build sustainable careers while maintaining recognition, ownership, and fair compensation.
That standard becomes more important, not less, as the technology becomes more powerful.
AI Is Also Becoming Something Labels Can Offer Artists
The relationship is changing in another direction.
Major music companies are not only licensing catalogs to AI developers. They are beginning to participate in the development of AI tools themselves.
Universal Music Group and Stability AI announced a strategic alliance in 2025 to develop professional AI music creation tools for artists, producers, and songwriters. The companies said the work would involve direct research into artist needs and how musicians actually use the technology.
UMG separately partnered with Splice to explore AI-powered creation tools built around creative control and intellectual property protections.
In January 2026, UMG also announced a collaboration with NVIDIA focused on responsible AI applications across music discovery, creation, and fan engagement.
These developments complicate the idea that AI simply gives artists technology that competes with labels.
The technology can also become part of what a music company provides.
The competitive question is therefore less about whether artists or labels will “win” from AI.
It is about what each side brings to the relationship.
Artists increasingly bring more technological capability of their own. Labels can respond by bringing scale, rights infrastructure, commercial relationships, audience development, capital, technology partnerships, and access to opportunities that remain difficult for individual creators to reproduce.
The relationship becomes less about access to a recording studio and more about what happens after the music exists.
Artists May Gain More Leverage
For independent musicians, this changing structure creates an important opportunity.
The more an artist can accomplish before signing a traditional deal, the more evidence that artist can potentially bring into a negotiation.
A creator who already has finished music, audience data, streaming activity, social traction, and an identifiable fan base presents a different proposition from an unproven artist who requires substantial upfront development.
AI can contribute to that independence by reducing some production costs and making sophisticated tools more accessible.
This fits Darren Herft’s broader positive view of the technology.
He believes increased accessibility could allow more creators to participate in the music economy, particularly independent artists operating without major-label support. He also sees the possibility of artists releasing music, building audiences, and experimenting with different business models as technology reduces traditional barriers.
Greater independence does not necessarily mean rejecting labels.
It can mean approaching them differently.
An artist may need less help creating the product and more help scaling it. Another may remain independent for longer before seeking a partnership. Established artists may negotiate for particular services rather than relying on one company for every stage of their careers.
The underlying shift is leverage.
Technology allows artists to arrive further along.
The Artist-Label Relationship Is Becoming More Selective
The evidence suggests that AI is unlikely to produce a simple collapse of the traditional record-label system.
The global recorded music business is growing, and record companies remain deeply embedded in its economics. At the same time, the services artists can perform independently continue to expand.
That creates pressure on both sides.
Artists have to decide which capabilities are genuinely worth paying for or sharing economics to obtain.
Labels have to demonstrate value beyond capabilities that inexpensive technology can increasingly provide.
The largest music companies appear to recognize the shift. UMG described 2025 as a year in which it expanded artist and label services, developed new artist-focused streaming economics, pursued AI partnerships, and invested in high-growth markets.
That is a broader proposition than financing recordings.
For Darren Herft, the artist remains the useful point of reference.
AI is valuable when it expands what creators can accomplish. Industry structures remain valuable when they help those creators turn their work into sustainable careers while protecting the ownership and economic value attached to it.
Those principles do not require choosing between independent artists and record labels.
They require asking what each relationship actually contributes.
Conclusion
AI is reducing some of the traditional advantages that came from having access to major music-industry infrastructure.
Independent artists can create more, experiment faster, lower certain production costs, and bring music to market with resources that would have been difficult to access in previous eras.
Darren Herft sees that increased accessibility as one of AI’s most significant opportunities for musicians.
But the other side of the industry is changing too.
Record companies are negotiating licensed AI models, developing creation tools, protecting catalogs against unauthorized use, building new commercial relationships with technology platforms, and experimenting with ways for artists to participate economically in AI-driven products.
The result is not necessarily an industry with no labels.
It is an industry in which artists can reasonably expect more from them.
AI can give creators greater independence while making rights, scale, commercial leverage, and artist protection increasingly valuable. The traditional artist-label relationship therefore looks less likely to disappear than to become more selective about where each side provides value.
For Darren Herft, the standard remains consistent: technological progress matters most when the people creating the music remain able to participate in its value.
FAQs
Is AI making record labels unnecessary?
AI is making some capabilities more accessible to independent musicians, particularly in creation and production. But producing music is only one part of a commercial music career. Marketing, rights management, licensing, financing, international reach, and large-scale partnerships remain separate functions.
What has Darren Herft said about record labels and AI?
Darren Herft has specifically noted that AI is giving musicians access to technologies once concentrated among major studios and large record labels. His broader commentary focuses on what that increased access means for independent creators and on ensuring that artists remain protected and fairly compensated as AI expands.
Are major record labels working with AI companies?
Yes. Universal Music Group, Sony Music Entertainment, Warner Music Group, and their publishing businesses reached licensing agreements with KLAY in 2025. UMG and Warner have also announced separate licensed AI arrangements with Udio, while UMG has announced AI collaborations with companies including Stability AI, Splice, and NVIDIA.
How could AI give independent artists more leverage?
Artists can potentially use AI-assisted tools to reduce certain production costs, experiment more quickly, and develop projects further before seeking outside support. An artist who already has finished music and an audience may approach a label from a stronger position than one who needs substantial upfront development.
Why are licensing and artist rights becoming more important?
Generative AI creates new questions about how recordings, compositions, voices, likenesses, and other creative assets can be used. Major music companies are increasingly negotiating licensed models and protections intended to determine when those assets can be used and how participating creators are compensated.
What does Darren Herft see as the priority as AI expands in music?
Darren Herft’s supplied commentary consistently puts artists at the center. He supports the opportunities created by AI while emphasizing that genuine creators should retain recognition, ownership, and fair opportunities to earn from their work.
