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An Analytical Report on YouTube's Policies for AI-Generated Content Monetization and Disclosure

Introduction: Deconstructing the Rumor—AI, Monetization, and the Future of YouTube Content

Recent discourse within the creator community has been dominated by a pervasive and unsettling rumor: that YouTube has implemented a blanket ban on the monetization of videos created with artificial intelligence. This report will begin by stating unequivocally that this rumor is false. YouTube has not prohibited the monetization of AI-generated content.1 Instead, the platform has undertaken a series of policy clarifications and introductions that address the quality, authenticity, and transparency of content, irrespective of the specific tools employed in its creation.3 The central issue is not the use of AI itself, but rather the abuse of AI technologies to generate low-effort, repetitive, spammy, or misleading content that degrades the platform's ecosystem.4 The anxiety and confusion among creators largely stem from the conflation of two distinct but interconnected policy tracks that YouTube has recently advanced. The first track involves a clarification of its long-standing monetization rules, culminating in the renaming of its "Repetitious Content" policy to "Inauthentic Content".1 The second track is the introduction of a new transparency mandate, which requires creators to disclose the use of realistic altered or synthetic media to viewers.7 Understanding the distinction between these two policy areas—one governing how creators can earn money and the other governing how they must inform their audience—is critical to navigating the current platform environment successfully. This report argues that YouTube's recent policy updates are not an attack on artificial intelligence but a necessary and strategic defense of its entire ecosystem. The platform finds itself at a critical juncture, needing to balance the immense creative potential unlocked by AI innovation with the profound risks posed by mass-produced, low-quality "AI slop" and the proliferation of sophisticated misinformation.9 By clarifying its standards to reward human-led creativity and demanding unprecedented transparency for synthetic content, YouTube is attempting to build guardrails for a new era of digital creation. This analysis will dissect both the monetization and disclosure policies in detail, providing a comprehensive framework for creators to understand the new rules of the road and to position their channels for sustainable growth and compliance.

Part I: The Reality of Monetization—Understanding the "Inauthentic Content" Policy

The core of the recent confusion lies in YouTube's adjustments to its monetization policies. However, a detailed analysis reveals that these changes are an evolution of established principles rather than a radical departure. The platform is not banning a technology; it is reinforcing its commitment to rewarding content that provides genuine value to viewers. This section will deconstruct the "Inauthentic Content" policy, clarifying its intent, defining its terms, and outlining the central role of creator-driven value.

A. From "Repetitious" to "Inauthentic": A Policy Clarification, Not a Revolution

The primary catalyst for the widespread speculation was YouTube's announcement that, effective July 15, 2025, it would rename its "Repetitious Content" policy to "Inauthentic Content" as part of the YouTube Partner Program (YPP) guidelines.1 This change in terminology, without a complete understanding of its context, led many creators to fear a broad crackdown on AI-assisted content. However, official communications from YouTube have consistently framed this as a "minor update" designed to provide clarity, not to introduce a new prohibition.1 The stated rationale for the change is to better describe the nature of modern, low-effort content that is often "mass-produced or repetitive".9 With the rise of generative AI, content can be created at a scale and speed previously unimaginable. The term "inauthentic" was chosen because it more accurately captures the intent behind this type of content—videos created not for the genuine enjoyment, education, or entertainment of viewers, but for the sole purpose of generating views and gaming the system.13 The new name better reflects what this type of content looks like today, especially when automated tools can churn out countless near-identical clips.6 Crucially, this update does not invent a new rule. It is an application of existing legal and policy principles to a novel technological context. The YPP has always required that monetized content be "original and 'authentic'" to be eligible for revenue sharing.1 The platform's monetization policies have long penalized "Reused Content," which involves taking someone else's work with only minimal changes, and "Repetitious Content," which involves posting very similar videos with little to distinguish them. The goal has consistently been to reward transformative and varied work that adds value to the platform.13 The challenge presented by generative AI is that it allows for the creation of content that is technically "original" from a copyright perspective (i.e., not a direct copy of another work) but is substantively identical and repetitive at scale. For example, a channel could use AI to generate thousands of videos, each with a slightly different AI-generated image, but all using the same AI voice, the same script template, and the same stock music.6 Such content did not fit neatly under the old "Reused" or "Repetitious" labels because each video file was unique. The shift to the term "Inauthentic" closes this loophole. It moves the focus from the technical uniqueness of the file to the substantive authenticity of the creative effort. Therefore, the policy change is not a new ban on AI but an adaptation of existing rules to address a new method of violating the spirit of those rules. It reinforces the long-standing principle that monetization is reserved for creators who invest genuine creative effort.

B. Defining the Monetization Line: What Constitutes "Inauthentic" and "Reused" Content?

To operate successfully within the YPP, creators must have a granular understanding of the specific behaviors that YouTube's policies are designed to prevent. The platform's official help center documentation provides detailed definitions and examples that serve as a ground truth for content strategy. According to official YouTube policy, "Inauthentic Content" refers to content that is "mass-produced or repetitive".13 This includes videos that appear to be made from a template with little to no variation, or content that is easily replicable at scale. The policy explicitly states that its purpose is to ensure monetized content offers viewers "something appealing and interesting to watch" and to prevent channels where content is only "slightly different from video to video" from earning revenue, as this can frustrate viewers.13 This policy applies to the channel as a whole, meaning that a pattern of posting inauthentic content can lead to the demonetization of the entire channel, not just individual videos.13 Separately, but relatedly, "Reused Content" refers to channels that repurpose material from YouTube or other online sources "without adding significant original commentary, substantive modifications, or educational or entertainment value".13 It is critical to note that this policy is distinct from copyright law. A creator can have permission or a license to use someone else's content and still violate the "Reused Content" policy if they fail to transform it in a meaningful way.13 The focus is on rewarding creators for what they add to existing material. To translate these abstract rules into practical guidance, YouTube provides concrete examples of what is and is not allowed. A channel is at risk of demonetization if its content consists of: AI-generated slideshows of images accompanied only by background music, with no original voiceover or explanation.3 Templated or programmatically generated narrative stories with only superficial differences between them.1 An AI voice reading text verbatim from websites or news feeds over a background of stock video clips.6 Collections of songs from different artists, even with permission, or songs modified only by changing the pitch or speed.13 Short videos compiled from other social media websites with no transformative element added.13 Conversely, content remains eligible for monetization, even when using AI or third-party material, if it includes significant transformation. Examples of monetizable content include: Videos using AI-generated visuals that are accompanied by an original, human-provided voiceover, detailed storytelling, or educational commentary that adds context and value.3 Reaction videos where the creator provides significant and insightful commentary throughout, pausing and analyzing the original video rather than just watching it silently.12 Edited footage from other creators or scenes from a movie where a new storyline is added, dialogue is rewritten, or a critical review is provided.13 Short clips of similar objects edited together where the creator explains the connection between them.13 The following table provides a clear, side-by-side comparison to help creators assess their content strategies against YouTube's monetization policies.

Eligible for Monetization (High Value-Add) At Risk of Demonetization (Low Value-Add / "Inauthentic") AI-generated visuals with original, human-provided voiceover, narrative, or educational explanation.3 Slideshows of AI-generated images with only stock music and no commentary.3 Reaction videos where you provide significant, insightful commentary on the original content.12 Content that features non-verbal reactions with no added voice commentary.13 Edited footage from other creators where you add a new storyline, critical review, or transformative commentary.13 Clips from other sources edited together with little or no narrative or minimal changes.13 Using AI tools for productivity (e.g., script generation, video upscaling) as part of a larger creative process led by a human.5 Content that exclusively features an AI voice reading text from websites or news feeds over stock footage.6 Short clips of similar objects edited together where you explain how they are connected.13 Mass-produced content using a similar template with only minor variations between videos.1

This table serves as a practical checklist. By evaluating a content idea against these columns, a creator can proactively design monetizable content that aligns with platform expectations, rather than risking demonetization and having to retroactively fix policy violations.

C. The "Value-Add" Doctrine: The Creator's Critical Role in Monetization

Across all of YouTube's monetization policies, a single, consistent principle emerges: the platform is designed to reward human creativity, effort, and originality.4 Artificial intelligence is explicitly permitted as a tool to assist, augment, or accelerate this human-led creative process, but it is not seen as a permissible replacement for it.5 The distinction is between using AI to enhance storytelling and using it to automate content farming. The core concept that creators must internalize is the "value-add" doctrine. To comply with the "Inauthentic" and "Reused" content policies, a creator must add significant transformative value. Based on YouTube's guidelines, this "value" can be demonstrated in several key ways: Commentary and Narration: This is perhaps the most straightforward way to add value. By providing a voiceover, a creator can inject their unique perspective, personality, humor, or critical analysis into the content.3 This transforms passive visuals into an active, guided experience for the viewer. Storytelling: Weaving a compelling narrative or providing a clear storyline that connects otherwise disparate visual or audio elements is a powerful form of transformation. This demonstrates creative effort and provides a unique structure that did not exist in the source material.3 Educational Input: Content that explains a complex concept, provides historical or cultural context, or teaches the viewer a skill adds clear educational value. This is a primary way to transform simple footage or images into a substantive, informative piece of content.3 Creative Editing: The act of editing itself can be transformative. This goes beyond simple cuts and includes the use of effects, reordering of scenes to create new meaning, and the integration of graphics or other sources to recontextualize the original material. The goal is to create a new viewing experience that is distinct from the source.12 Ultimately, the platform applies a simple but effective litmus test when reviewing a channel for monetization. The first question is whether the average viewer can "clearly tell that content on your channel differs from video to video".13 This targets the "Inauthentic Content" policy by looking for substantive variation. The second question is whether there is a "meaningful difference between the original video and your video".13 This targets the "Reused Content" policy by looking for transformation. In both cases, the human element—the creator's unique contribution—must be palpable and undeniable.

Part II: The Transparency Mandate—Navigating the New AI Disclosure Rules

While the monetization policies have been the primary source of creator anxiety, a second, equally important policy track has been implemented in parallel: a new mandate for content transparency. This set of rules is not directly about what content can earn money, but rather about what creators must tell their audiences. Failure to comply, however, carries severe penalties that directly impact monetization, making this a critical area for all creators to understand.

A. Beyond Monetization: The Requirement to Disclose Altered & Synthetic Media

In March 2024, YouTube introduced a new tool and a corresponding policy requiring creators to disclose the use of altered or synthetic media.8 It is essential to recognize that this is a separate policy from the monetization guidelines and serves a different primary purpose. The stated goal of the disclosure requirement is not to police revenue but to "strengthen transparency with viewers and build trust between creators and their audience".8 The policy is a direct response to the fact that viewers increasingly want to know if the content they are watching is real, especially as generative AI tools become more sophisticated.8 The core requirement of this policy is that creators must use a new setting in YouTube Studio during the upload process to disclose content that is "meaningfully altered or synthetically generated when it seems realistic".7 The policy is specifically targeted at content that a viewer could "easily mistake for a real person, place, or event".8 This focus on realism is key to understanding the rule's intent: it aims to prevent deception and confusion, not to label every instance of digital editing. Signaling the platform's own commitment to this new standard of transparency, content created using YouTube's native generative AI tools, such as Dream Screen (for AI-generated video backgrounds) and Dream Track (for AI-generated soundtracks), will have disclosures applied automatically.7 This not only streamlines the process for creators using these specific tools but also establishes a clear baseline for the platform's expectations regarding AI-generated content. It demonstrates that YouTube is embracing AI as a creative tool while simultaneously insisting on transparency about its use.

B. Drawing the Line on Disclosure: Realistic vs. Unrealistic Content

The central pillar of the disclosure policy is the threshold of "realism." The rule is carefully designed to target content that has the potential to mislead a viewer into believing something fictional is real, while exempting content that is obviously fantastical or involves minor, non-deceptive edits.8 Understanding this distinction is paramount for compliance. Creators are explicitly required to disclose their content under the following scenarios: Simulating Real Individuals: This includes using AI to make a real person appear to say or do something they did not, such as in a deepfake video. It also applies to synthetically generating a person's voice to narrate a video or digitally replacing one person's face with another's.7 Altering Footage of Real Events or Places: This applies when a creator alters footage of a real-world location or event in a realistic way. The examples provided by YouTube include making it appear as if a real building caught fire when it did not, or altering a real cityscape to look different than it is in reality.7 Generating Realistic Fictional Scenes: This covers content that generates a realistic-looking scene of a fictional event that could be mistaken for a real occurrence. The primary example is a realistic depiction of a major fictional event, such as a tornado moving toward a real town.7 Conversely, the policy clarifies numerous situations where disclosure is not required, as the content is either clearly unrealistic or the alterations are inconsequential: Clearly Unrealistic Content: Disclosure is not needed for content that is fantastical or animated. The official examples include animations or a video of someone riding a unicorn through a fantasy world.8 Minor Aesthetic Edits: Standard post-production techniques that enhance the look of a video but do not deceive the viewer about its substance are exempt. This includes color correction, lighting filters, special effects like background blur, or vintage effects.8 Beauty Filters: Applying beauty filters or other visual enhancements that are primarily aesthetic in nature does not require disclosure.8 AI for Production Assistance: Crucially, using generative AI for productivity tasks behind the scenes does not need to be disclosed. This includes using AI to generate scripts, brainstorm content ideas, create automatic captions, or clean up audio.8 To provide maximum clarity, the following table contrasts the specific use cases that do and do not trigger the disclosure requirement.

Disclosure Required (Realistic & Potentially Misleading) Disclosure NOT Required (Unrealistic or Inconsequential) Using a deepfake to make a person appear to say or do something they didn't.7 Creating a fully animated cartoon or fantasy scene (e.g., riding a unicorn).8 Synthetically generating a realistic human voice to narrate a video as if it were a real person.8 Using AI for production assistance, like generating a script, video ideas, or auto-captions.8 Altering footage of a real place or event (e.g., adding a fire to a real building).7 Applying standard visual enhancements like color adjustment, lighting filters, or background blur.8 Generating a realistic depiction of a fictional event that could be mistaken for reality (e.g., a fictional tornado approaching a real town).7 Applying beauty filters or other purely aesthetic visual effects.8 Digitally replacing the face of one individual with another's in a realistic scene.8 Using AI to upscale video resolution or clean up audio.19

This table serves as an essential compliance guide. It demystifies the new rule by providing clear, contrasting examples, enabling creators to quickly determine if their specific use of AI necessitates disclosure and thereby avoid the significant penalties associated with non-compliance.

C. Implementation and Consequences: Labels, Penalties, and Platform Intervention

The implementation of the disclosure policy includes a tiered system of labels and a clear set of consequences for non-compliance, establishing a direct and powerful link back to a creator's monetization status. When a creator discloses that their content contains realistic altered or synthetic media, a label is applied to the video. For the majority of content, this label appears in the expanded description box, informing curious viewers about how the content was made.8 However, YouTube has determined that certain topics are too sensitive to rely on a description box label alone. For content that touches on subjects like health, news, elections, or finance, a more prominent label will be displayed directly on the video player itself.8 This heightened level of transparency for sensitive topics underscores the policy's primary function as a tool to combat misinformation and viewer confusion in high-stakes areas. While the disclosure and monetization policies are functionally separate, they are inextricably linked by the penalties for non-compliance. YouTube has stated that creators who "consistently choose not to disclose this information may be subject to penalties from YouTube, including removal of content or suspension from the YouTube Partner Program".7 This is a critical point: failing to be transparent with viewers can directly result in the loss of all monetization privileges. This transforms the disclosure requirement from a simple recommendation into a mandatory component of maintaining a monetized channel. Furthermore, YouTube is not relying solely on creator self-reporting. The platform has reserved the right to proactively apply a disclosure label to a video, even if the creator has not disclosed it. This intervention is most likely to occur "if the altered or synthetic content has the potential to confuse or mislead people".8 This demonstrates the high priority the platform places on this issue and serves as a backstop to ensure that potentially deceptive content is labeled appropriately. This disclosure requirement, while ostensibly focused on transparency, also functions as an indirect but potent mechanism for reinforcing the "Inauthentic Content" policy. The motivation for many creators of "AI slop" is to pass off low-effort, mass-produced content as authentic, thereby tricking both the algorithm and viewers into engagement that leads to revenue.11 The mandatory disclosure label shatters this illusion. By explicitly marking a video with "Altered or synthetic content," the platform signals to the viewer that the content may not be what it appears to be. Viewers are inherently less likely to trust, engage with, or subscribe to channels that are openly labeled as producing potentially inauthentic or low-value synthetic content. This forces creators of such content into a new and less favorable calculation: is it still worth mass-producing this content if its synthetic nature is advertised to every potential viewer? In this way, the disclosure rule acts as a behavioral nudge, making the creation of low-quality, deceptive AI content a less attractive proposition and thereby supporting the platform's broader goal of promoting high-quality, authentic videos.

Part III: The Strategic Imperative—Why YouTube is Implementing These Changes

YouTube's new policies on AI-generated content are not arbitrary. They are a calculated and multifaceted response to a series of technological, economic, and ethical pressures. Understanding the strategic imperatives behind these changes is crucial for grasping their long-term significance. The policies represent a concerted effort to protect the platform's ecosystem, build viewer trust in a new media landscape, and strike a delicate balance between fostering innovation and mitigating risk.

A. Protecting the Ecosystem: Combating "Content Farming" and "AI Slop"

The most immediate driver behind these policy updates is the existential threat posed by low-quality, mass-produced content. The explosive growth of short-form video, particularly YouTube Shorts, combined with the rapid advancement of generative AI tools, created what some analysts have described as a "perfect storm" or a "Fujiwhara effect," where two powerful forces merge to create a more intense system.9 This convergence enabled "content farms" and individual creators to flood the platform with a torrent of low-effort, repetitive videos, often referred to as "AI slop".11 This content, while often technically compliant with copyright, threatened to "drown" the platform in a sea of mediocrity.11 This flood of low-quality content poses a direct threat to the three core pillars of YouTube's business model: Frustrating Viewers: The platform's value proposition to viewers is built on providing a vast library of "appealing and interesting videos".13 When users are repeatedly served repetitive, templated, or nonsensical AI-generated content, their experience is degraded, which can lead to reduced watch time and platform abandonment.11 Deterring Advertisers: Brands are the financial lifeblood of the YPP. They rely on YouTube to protect their business interests and brand safety by ensuring their advertisements are placed alongside suitable content.24 Advertisers have no interest in associating their brands with "zero effort slop" and have historically put pressure on the platform to maintain quality standards.6 A platform overrun with inauthentic content becomes a much less attractive advertising venue. Harming Genuine Creators: The creators who invest significant time, effort, and resources into producing original, high-quality content are the heart of YouTube's ecosystem.25 When they are forced to compete with content farms that can churn out hundreds of videos with minimal cost and effort, their work gets buried, and their ability to grow an audience is diminished.9 Viewed through this lens, the "Inauthentic Content" policy is a critical defense mechanism. It is a direct measure to curb the trend of content farming, preserve the platform's value for viewers and advertisers, and ensure that the YPP continues to reward genuine creative effort rather than automated scale.5

B. Building Trust in the Age of AI: The Fight Against Misinformation

YouTube's new policies are not being implemented in a technological or social vacuum. They are a direct response to the broader societal challenge posed by the rise of AI-driven misinformation. The increasing availability and sophistication of generative AI tools have led to a proliferation of deepfakes and other forms of synthetic media being used for malicious purposes. High-profile examples, such as AI-generated scams featuring the likeness of MrBeast offering impossibly cheap products or deepfakes of public figures used in phishing schemes, have highlighted the potential for these technologies to deceive and harm the public.10 The design of the disclosure policy clearly reflects this concern. The decision to apply more prominent, player-level labels to content concerning sensitive topics—specifically health, news, elections, and finance—is a deliberate strategy to combat high-stakes misinformation.8 These are areas where false or misleading information can have severe real-world consequences, from influencing democratic processes to causing financial or physical harm. By mandating explicit transparency in these categories, YouTube is attempting to provide viewers with the necessary context to critically evaluate the information they are consuming. By implementing these rules, YouTube is also engaging in strategic positioning. It is actively working to establish itself as a "responsible AI innovator" in the eyes of the public, regulators, and industry partners.8 These policies serve as proactive guardrails, demonstrating a commitment to ethical AI deployment and transparency before potential government regulation forces the issue. This approach helps to build viewer trust, which is a fragile and essential commodity in the digital age, and mitigates the long-term regulatory and reputational risks associated with being a primary vector for AI-generated misinformation.8 The platform is also collaborating with industry bodies like the Coalition for Content Provenance and Authenticity (C2PA) to promote broader standards for content authenticity, recognizing that this is a challenge that extends beyond any single platform.8

C. A Calculated Balance: Fostering AI Innovation While Managing Risk

A central paradox underlies YouTube's entire approach: the platform is not anti-AI. On the contrary, its parent company, Google/Alphabet, is one of the world's foremost leaders in AI research and development, investing billions in tools like Gemini.11 YouTube itself actively encourages creators to leverage AI and has been rolling out its own suite of AI-powered creative tools, such as Dream Screen, Dream Track, and automatic video dubbing, to empower its community.1 The platform recognizes that AI can be a transformative force for good, helping creators to work faster, test new ideas, and enhance their storytelling in ways that were previously impossible.5 This creates a strategic imperative to navigate a narrow path: reaping the benefits of AI innovation while simultaneously containing its potential for abuse. The policies on monetization and disclosure represent a sophisticated, two-pronged strategy to achieve this balance: Promote AI as a Tool: YouTube's policies and product development actively encourage the use of AI to augment and assist human creativity. The rules are structured to permit and even reward creators who use AI to generate visuals for a well-researched documentary, create a script as a starting point for a unique video essay, or produce background music for their original content.4 Police AI as a Replacement: At the same time, the policies vigorously police the use of AI to replace human creativity, critical thought, and authenticity. The "Inauthentic Content" rule is specifically designed to demonetize channels that use AI as an autopilot for content farming, churning out templated videos with no human soul.4 The ultimate goal of this strategy is to guide the creator community toward a future where AI serves as a powerful co-pilot, not the pilot itself. The policies are not intended to be a gate that blocks creators from using new technologies. Instead, they function as guardrails, designed to keep the creative process on a road that leads to valuable, authentic, and transparent content.9 YouTube is betting that it can foster a healthy, innovative ecosystem where AI empowers human expression rather than supplanting it.

Conclusion: A Creator's Roadmap for Thriving in YouTube's AI Era

The emergence of advanced artificial intelligence represents a paradigm shift for content creation. The resulting policy updates from YouTube, while complex, are not a condemnation of this new technology but a framework for its responsible integration. A comprehensive analysis of these policies reveals a clear and consistent vision for the future of the platform. The findings of this report can be summarized in four key points. First, the rumor of a blanket ban on monetizing AI-generated content is definitively false. Monetization remains entirely possible for AI-assisted content that adheres to platform guidelines. Second, eligibility for monetization hinges on the "value-add" doctrine; human creativity, commentary, and transformative effort are the paramount criteria for earning revenue, regardless of the tools used. Third, the disclosure of realistic altered or synthetic media is a separate but mandatory requirement focused on viewer transparency. Non-compliance carries severe penalties, including suspension from the YouTube Partner Program, making it a critical aspect of channel management. Finally, these policies collectively represent a strategic defense of the YouTube ecosystem's integrity, designed to protect viewers, advertisers, and genuine creators from the negative impacts of low-quality content and misinformation. For creators seeking to navigate this new landscape and build a sustainable channel, the path forward requires a strategic focus on authenticity and transparency. The following checklist provides an actionable roadmap for success in YouTube's AI era: Prioritize Human-Led Creativity: The core of every video must be the creator's unique vision, voice, and perspective. Use AI as a powerful tool to execute that vision—to generate assets, accelerate workflows, or overcome technical barriers—but never as a replacement for the essential human element of creativity.3 Master the "Value-Add" Doctrine: When using AI-generated visuals or any reused content, focus intensely on what you are adding. Ensure every video includes significant transformative value through insightful commentary, a compelling narrative, clear educational input, or creative editing that results in a new and unique experience for the viewer.3 Disclose Honestly and Accurately: Take the time to understand the distinction between content that is realistic and potentially misleading versus content that is unrealistic or involves inconsequential edits. The risk of YPP suspension for consistently failing to disclose is too significant to ignore. When in doubt about whether a piece of content crosses the "realism" threshold, the safest course of action is to disclose.7 Stay Informed: The field of generative AI is evolving at an exponential rate, and platform policies will inevitably continue to adapt. Creators must commit to staying informed by regularly monitoring official communications from the YouTube Creator channel, the YouTube blog, and the platform's Help Center documentation.9 The future of content creation on YouTube will not be a battle between humans and AI, but a partnership. The creators who thrive will be those who master this new form of collaboration—who learn to seamlessly integrate the power of artificial intelligence into a workflow that remains fundamentally human-centric. By embracing AI as a tool to amplify their own creativity while respecting the platform's clear rules on authenticity and transparency, creators will be best positioned for long-term growth, monetization, and success in the dynamic years to come. 참고 자료 YouTube Clarifies Changes to Monetization Rules Around ..., 8월 10, 2025에 액세스, https://www.socialmediatoday.com/news/youtube-clarifies-monetization-update-inauthentic-repeated-content/752892/ YouTube to Creators: AI Is Fine, As Long As It's 'Authentic' - eWEEK, 8월 10, 2025에 액세스, https://www.eweek.com/news/youtube-responds-to-ai-concerns/ Is Ai generated content monetizable? - YouTube Community - Google Help, 8월 10, 2025에 액세스, https://support.google.com/youtube/thread/350730217/is-ai-generated-content-monetizable?hl=en YouTube's new update for AI content is HUGE, 8월 10, 2025에 액세스, https://www.youtube.com/watch?v=9LIB_8PpB7w YouTube's New Policy Just Killed Faceless AI Channels?, 8월 10, 2025에 액세스, https://www.youtube.com/watch?v=5DM-MGbY8yk YouTube to crack down on AI-generated and repetitive content: Google changes payout rules; check if you will be affected | - The Times of India, 8월 10, 2025에 액세스, https://timesofindia.indiatimes.com/technology/tech-news/youtube-to-crack-down-on-ai-generated-and-repetitive-content-google-changes-payout-rules-check-if-you-will-be-affected/articleshow/122370719.cms Disclosing use of altered or synthetic content - Android - YouTube Help, 8월 10, 2025에 액세스, https://support.google.com/youtube/answer/14328491?hl=en&co=GENIE.Platform%3DAndroid How we're helping creators disclose altered or synthetic content ..., 8월 10, 2025에 액세스, https://blog.youtube/news-and-events/disclosing-ai-generated-content/ The Fujiwhara effect on YouTube: AI, Shorts, and the rise of duplicate content, 8월 10, 2025에 액세스, https://searchengineland.com/youtube-ai-shorts-duplicate-content-460353 YouTube AI Content Policy: What Creators and Brands Need to Know - TubeBuddy, 8월 10, 2025에 액세스, https://www.tubebuddy.com/blog/youtube-ai-content-policy-changes/ YouTube needs to force AI content creators to clearly label their videos, and give us the option to hide them - Reddit, 8월 10, 2025에 액세스, https://www.reddit.com/r/youtube/comments/1l2dx02/youtube_needs_to_force_ai_content_creators_to/ YouTube Targets Unoriginal Content in Latest Policy Update - Podcastle, 8월 10, 2025에 액세스, https://podcastle.ai/blog/youtube-monetization-update/ YouTube channel monetization policies - YouTube Help - Google Help, 8월 10, 2025에 액세스, https://support.google.com/youtube/answer/1311392?hl=en YouTube's New Rules: Is Your AI-Generated Content at Risk? - KnowTechie, 8월 10, 2025에 액세스, https://knowtechie.com/youtube-monetization-policies-ai-generated-content/ YouTube Updates Monetization Rules | AI-Made Content May Lose Ad Revenue | WION, 8월 10, 2025에 액세스, https://www.youtube.com/watch?v=unkvhY0wEf4&pp=0gcJCfwAo7VqN5tD YouTube Details New Rules Requiring Creators to Disclose AI-Generated Content, 8월 10, 2025에 액세스, https://www.pymnts.com/news/artificial-intelligence/2024/youtube-details-new-rules-requiring-creators-to-disclose-ai-generated-content/ support.google.com, 8월 10, 2025에 액세스, https://support.google.com/youtube/answer/14328491?hl=en&co=GENIE.Platform%3DAndroid#:~:text=To%20help%20keep%20viewers%20informed,something%20they%20didn't%20do YouTube introduces mandatory disclosure for AI content - PPC Land, 8월 10, 2025에 액세스, https://ppc.land/youtube-introduces-mandatory-disclosure-for-ai-content/ Disclosing altered or synthetic content on YouTube, 8월 10, 2025에 액세스, https://www.youtube.com/shorts/9kt9-L1ymFA YouTube now requires creators to disclose altered or synthetic content - Reddit, 8월 10, 2025에 액세스, https://www.reddit.com/r/NewTubers/comments/1bhz4uu/youtube_now_requires_creators_to_disclose_altered/ How to Disclose Altered or Synthetic Content on YouTube?, 8월 10, 2025에 액세스, https://www.youtube.com/watch?v=GOBKKHDw28Y Understanding 'How this was made' disclosures on YouTube - Google Help, 8월 10, 2025에 액세스, https://support.google.com/youtube/answer/15447836?hl=en Youtube updates monetization policy, no more AI : r/Asmongold - Reddit, 8월 10, 2025에 액세스, https://www.reddit.com/r/Asmongold/comments/1lwu925/youtube_updates_monetization_policy_no_more_ai/ YouTube policies crafted for openness – how YouTube works, 8월 10, 2025에 액세스, https://www.youtube.com/intl/en_mt/howyoutubeworks/our-policies/ YouTube Content Monetization Policies - How YouTube Works, 8월 10, 2025에 액세스, https://www.youtube.com/intl/en_us/howyoutubeworks/policies/monetization-policies/ The reason why YouTube is adding AI age verification - Reddit, 8월 10, 2025에 액세스, https://www.reddit.com/r/youtube/comments/1mjhb9y/the_reason_why_youtube_is_adding_ai_age/