A hyper-realistic AI-generated video of Tom Cruise and Brad Pitt in a cinematic brawl flooded social feeds, blurring the line between fiction and reality. It was fake, but convincing enough to spark fresh anxiety across Hollywood. At the same time, the industry began shifting from fear to negotiation.
Headlines chronicled Matthew McConaughey licensing his likeness on his own terms. Major media companies that initially resisted AI have also begun exploring AI partnerships and the use of AI in production workflows. In music, record labels are battling unauthorized AI songs that mimic artists while simultaneously negotiating licensing frameworks for the future.
If there is a defining truth from this moment, it is that AI is no longer a distant possibility in the entertainment industry. It’s active, embedded, and already reshaping how content is created and consumed. The question is not whether creative works are being used to train AI systems. They are.
The real question is how the industry responds, and who gets to shape what comes next.
A Familiar Pattern of Disruption
After over a decade inside major studios, including Paramount, NBCUniversal, and Fox, and later building a media aggregation company focused on generative AI licensing, I have seen multiple technology waves reshape entertainment.
Streaming forced consolidation and new distribution economics. The rise of user-generated content platforms like YouTube fundamentally shifted where audiences spend their time and who gets to create. Social media changed marketing and audience engagement.
Each shift felt destabilizing at first. But none moved as quickly as AI.
Today, faced with the knowledge that their content is being used to train AI models, content owners face three choices: ignore, litigate, or engage.
First, they can ignore it. That is, in practice, what many are doing. The hope is that regulation, public backlash, or market forces will slow things down.
But ignoring the use of creative works in AI systems does not stop it. It simply means the rules will be written without the participation of the people whose livelihoods depend on those works.
Second, they can litigate. Litigation is appropriate in some circumstances. Courts play an essential role in clarifying boundaries, especially when copyrighted works are used without authorization.
Some recent cases suggest that when AI systems are trained on protected works and then produce outputs that compete with the original creator, courts may view that as problematic under copyright law. Legal action can create leverage and establish precedent.
But litigation alone is not a business model. It is reactive by nature. It also creates uncertainty, and uncertainty freezes markets.
We have already seen examples where parties move from resistance to negotiation. That evolution reflects a practical reality. If AI is going to shape the next era of media, content owners need more than court victories. They need sustainable frameworks.
The third option is engagement, and engagement means licensing.
Engagement Through Ethical Licensing
At its core, licensing is not a radical concept. It is the foundation of the entertainment business.
Studios license films to platforms or broadcasters. Music publishers license songs to streamers. Talent licenses their likeness and performance rights. Licensing is how value flows through the ecosystem.
When we talk about ethical licensing in the context of AI, we are not inventing a new moral code. We are applying a familiar commercial structure to a new technological environment.
Ethical licensing starts with authorization. Creative works represent investment, labor, and risk. Using those works without permission, particularly when the companies deploying AI systems are well capitalized, erodes trust. Authorization ensures that rights holders have a seat at the table before their content is incorporated into AI systems.
It also requires compensation. If AI systems derive value from decades of film, television, music, journalism, and other creative output, then the people and companies who created that output should participate in the upside. Compensation models may evolve, but the principle is clear.
Finally, ethical licensing involves transparency and control. Rights holders need clarity about how their content is used and what guardrails exist. That may include limitations on use cases, protections against competitive substitution, or collective structures that give creators a unified voice.
Why the Industry Must Act Together
Individual deals, like an actor licensing his likeness directly, are an important step. They demonstrate agency. But the scale of AI demands industry-level action. Studios, labels, publishers, guilds, and independent creators need frameworks that align incentives rather than fragment them.
We have seen this before. When streaming emerged, the industry eventually consolidated around new distribution models. Those shifts were not painless, but they created durable economic structures.
AI will require a similar alignment. Fragmented, one-off negotiations will not be enough.
There is understandable fear. Guilds worry about job displacement. Artists worry about the dilution of their voice. Executives worry about public backlash.
In some cases, the political risk of appearing too eager to work with AI feels greater than the financial risk of inaction. But the worst outcome is not that AI exists. The worst outcome is that creative industries surrender their influence over how it evolves.
Engagement does not mean endorsing every application of AI. It means shaping the standards. It means helping define what responsible use looks like. It means ensuring that as AI systems become more capable, they are built on licensed, high-quality data rather than scraped material of uncertain provenance.
The future of entertainment will include AI. That is a given. The only open question is whether creators and rights holders will participate as passive inputs or active partners.
Ethical licensing offers a path forward that balances innovation with respect for creative labor. It acknowledges that technology is moving quickly, but it also insists that the foundational principle of this industry remains intact: creative work has value, and that value deserves recognition.
We cannot ignore what is happening. We cannot litigate our way to certainty alone. We can, however, engage. If the industry chooses to do so deliberately, it can help build an AI ecosystem that strengthens, rather than undermines, the art and business of entertainment.
Somewhere along the way, the industry lost control of its content. Ethical licensing is how we find it again. AI should evolve with the industry, not around it.
