\"Inauthentic Content\": YouTube Redefines Intellectual Property in the Age of AI

View on LinkedIn

July 15, 2025 will mark a milestone in the history of intellectual property: the day a private platform unilaterally redefined what does and does not deserve economic protection in the digital age. YouTube did not wait for legislation; it created its own jurisprudence.

The term "inauthentic content" is a semantic masterstroke. The platform deliberately abandoned the label "AI-generated content" because it recognized a fundamental truth: the problem is not the tool — it is the absence of the human.

This redefinition arrived as a response to an existential crisis. Automated channels were uploading hundreds of videos per day: synthetic voices narrating over stock images, unedited ChatGPT scripts, "junk content" optimized solely for algorithms. The platform was confronting its own "dead internet theory," where machines were creating for machines while human creators drowned in a sea of synthetic mediocrity.

The New Taxonomy of Authenticity

YouTube established specific criteria that are reshaping the landscape:

"Inauthentic" Content (not eligible for monetization):

Videos with synthetic voices lacking clear human oversight Repetitive automatically produced content Compilations without transformative analysis or added value Mass-generated material using fixed templates

• Videos with synthetic voices lacking clear human oversight
• Repetitive automatically produced content
• Compilations without transformative analysis or added value
• Mass-generated material using fixed templates

"Authentic" Content (eligible for monetization):

Use of AI with human-written scripts Synthetic voices paired with original analysis and commentary Meaningful editing and unique narrative structure AI as a tool, not as an autonomous creator

• Use of AI with human-written scripts
• Synthetic voices paired with original analysis and commentary
• Meaningful editing and unique narrative structure
• AI as a tool, not as an autonomous creator

The economic impact is immediate: creators generating $20,000–$60,000 per month using AI as a tool retain their income. Fully automated channels face financial apocalypse.

The Legal Distinction: Mexico's Black-and-White Problem

Here lies the most painful paradox of the present moment. While YouTube and Spotify recognize nuance — demonetizing purely synthetic material but valuing AI-assisted creation — Mexico's Supreme Court opted for a binary view on July 2, 2025.

The SCJN ruled: there is no distinction. If AI is involved, it is in the public domain. Full stop. It does not matter if:

- An artist spent weeks refining prompts

- A programmer used Cursor as an assistant while retaining creative control

- A designer used Midjourney for sketches that were later manually transformed

This black-and-white interpretation completely ignores the spectrum of human participation that commercial platforms already acknowledge. YouTube distinguishes between tool and autonomous creator; Spotify differentiates between "music" and "instant music"; but for Mexico's SCJN, it is all the same.

As the source document notes: "for some reason it does not feel fair." And it is not. A Mexican creator who uses AI responsibly as a tool has no legal protection, while their U.S. counterpart would have protection under the "sufficient human creative control" standard.

The Spotify Case: When Machines Pay Themselves

The fraud orchestrated by Michael Smith between 2017 and 2024 is not merely a criminal case; it is a mirror of our systemic vulnerabilities:

• $10,923,677 defrauded using AI to create music

• 10,000 songs generated automatically per month

• 1,000+ bots playing tracks 661,440 times per day

• Fictitious bands: "Calorie Screams," "Zygotic Washstands"

His confession is revealing: "Keep in mind what we are doing musically here… this is not 'music,' it is 'instant music.'" This distinction between music and "instant music" is precisely what YouTube is trying to capture with the concept of "inauthentic content."

Spotify reacted by removing thousands of songs from Boomy (an AI music platform) amid suspicions of artificial streams. The Music Fights Fraud Alliance projects losses of $40 billion by 2027. Seventy percent of streams of fully AI-generated music are now fraudulent.

The Dead Internet Theory: No Longer a Theory

The data validate what once seemed like paranoia:

• 51% of web traffic originates from bots (2025)

• 57.1% of written content online is probably AI-generated

• 49.6% was bot traffic in 2023 — the jump is alarming

The "Shrimp Jesus" phenomenon — bizarre AI-generated images of crucified crustaceans — garnered 40 million views and 1.9 million interactions on Facebook. It is not art, it is not communication; it is pure algorithmic optimization exploiting human psychology.

As the source document notes: "the internet has not died in a literal sense, but there is recognition that the percentage of traffic originating from bots is significant." The boundary between the authentic and the synthetic grows blurry, demanding new responses.

AI as a Ubiquitous Ingredient

"AI has become the cooking ingredient that appears in all of our dishes," the source document aptly observes. It is present in:

The autocorrect that polished this article, the LinkedIn algorithms that will distribute it, the "dynamic adjustment" cameras on our phones, and the 82% of new code written at tech companies.

The paradox: while we debate authenticity, we already live in a hybrid world. As the document states: "one drives and sets the destination," but increasingly, AI is our invisible co-pilot.

The New Social Contract: Between Sui Generis Rights and the Creation Spectrum

The most innovative proposal for regulating this new reality contemplates two paths:

A. A Sui Generis Right:

Similar to neighboring rights in music or database rights in Europe

- It would recognize levels of human participation without granting full copyright

- Limited protection in time and scope according to the degree of creative involvement

- It would create legal certainty for investments in AI-assisted development

B. An Originality Spectrum

A graduated system of legal protection

From "AI-assisted work" with full protection

Through "collaborative work" with partial protection

To "AI-generated" works in the public domain

Objective measurable criteria: editing time, creative decisions, transformation of the output

Both proposals recognize that the current binary (protected/unprotected) is insufficient for the complexity of human-machine hybrid creation.

Reflections on the Road Ahead

What is at stake transcends the policies of any single platform. YouTube established a precedent in which private actors define fundamental intellectual property concepts in the absence of regulatory frameworks.

The challenge for Mexico is clear: while our SCJN maintains a binary stance (human = rights, machine = public domain), technological reality already operates in gradients. We need to evolve from an all-or-nothing approach toward a framework that acknowledges the complexity of modern creation.

As the guiding principle set out in the source document states: "writing software takes hundreds of hours; much of it is done with AI, but there is no spontaneous generation." The presence of human intent and direction — even when sophisticated tools are used — remains the determining factor. The question is how to codify that intent in workable legal terms.

The summer of 2025 will be remembered as the moment theoretical concepts became practical urgencies. Between "instant music" and genuine creation, between bots and humans, between tool and creator, we are defining not only legal categories but the future of human expression in the digital age.