Apple’s motion, filed in the U.S. District Court for the Northern District of California, seeks to dismiss the creators’ single claim under DMCA Section 1201(a), the anti-circumvention provision . The company’s central premise is straightforward:
“Plaintiffs voluntarily uploaded their videos to YouTube and made them accessible to anyone who could view the platform, so the videos were not behind a technological access barrier for DMCA anti-circumvention purposes.”
In Apple’s framing, the DMCA prohibits bypassing a lock that restricts access to a work — not restrictions on what happens after a work is already publicly viewable . The plaintiffs, according to Apple, are trying to treat YouTube’s limits on scraping or downloading as DMCA access controls, but public viewability means there was no protected gate to force open .
Apple’s written response reportedly puts it this way: “No password. No payment. No lock. No key.” The company argues that because YouTube streams videos to any visitor without authentication, YouTube’s technical anti-scraping measures do not function as an “access control” under the statute .
Apple’s argument does not exist in a vacuum. Throughout 2026, a coordinated group of YouTube creators — led by the same legal team representing h3h3Productions — has filed a series of class actions against major tech firms, all alleging DMCA anti-circumvention violations for scraping YouTube content to train AI models . The table below summarizes the key cases:
| Company | Lawsuit Filed | Defense Argument at Dismissal |
|---|---|---|
| Snap | January 2026 (amended June 2026) | Snap filed a reply on June 24, 2026, arguing that publicly streamed YouTube videos are not protected by DMCA access-control provisions. The company contends the plaintiffs’ claim is about “copying” of publicly available streams, not circumventing an access barrier . |
| Runway AI | February 2026 | YouTube creator David Gardner sued Runway AI, alleging the AI video startup circumvented YouTube’s safeguards to download videos for training its video-generation model. Runway’s motion to dismiss uses the same public-access logic . |
| Apple | April 2026 (motion to dismiss filed July 2026) | Apple argues publicly viewable videos have no DMCA access control; the company also points to its contractual right to access the platform under YouTube’s terms of service . |
| Amazon | April 2026 | A separate class action from the same creator group accuses Amazon of scraping YouTube content to train its Nova Reel text-to-video model. The case is pending . |
| Meta | December 2025 (voluntarily dismissed February 2026) | A similar DMCA suit against Meta was voluntarily dismissed by the plaintiffs in February 2026 . |
The available sources reveal a recurring defense theme across these cases: defendants argue that publicly viewable YouTube videos cannot form the basis of a DMCA access-control claim, because the statute’s anti-circumvention provision targets measures that prevent access to a work, not technical limits on downloading or copying after access has been granted .
This litigation represents a watershed test of whether the DMCA’s anti-circumvention provisions can be used to police how AI companies obtain training data from publicly accessible online platforms . Two possible outcomes define the stakes:
Early signals are mixed. The Udio decision suggests some courts are willing to let DMCA claims proceed against AI companies . But the Cordova v. Huneault case, which involved a YouTuber suing other creators for using stream-ripping tools, allowed a Section 1201 claim to survive dismissal — a win for the view that YouTube’s rolling cipher is an access control . Meanwhile, Snap’s motion to dismiss, filed in June 2026, is set for a hearing in July 2026, which could provide the first major ruling on these arguments .
As of July 2026, no court has ruled on Apple’s or Snap’s motions in the YouTube scraping cases. The outcome will depend on how courts interpret the line between controlling access to a work and controlling how it is used after access is granted — a question that will define the legal landscape for AI training data for years to come.
Apple’s motion, filed in the U.S. District Court for the Northern District of California, seeks to dismiss the creators’ single claim under DMCA Section 1201(a), the anti-circumvention provision . The company’s central premise is straightforward:
“Plaintiffs voluntarily uploaded their videos to YouTube and made them accessible to anyone who could view the platform, so the videos were not behind a technological access barrier for DMCA anti-circumvention purposes.”
In Apple’s framing, the DMCA prohibits bypassing a lock that restricts access to a work — not restrictions on what happens after a work is already publicly viewable . The plaintiffs, according to Apple, are trying to treat YouTube’s limits on scraping or downloading as DMCA access controls, but public viewability means there was no protected gate to force open .
Apple’s written response reportedly puts it this way: “No password. No payment. No lock. No key.” The company argues that because YouTube streams videos to any visitor without authentication, YouTube’s technical anti-scraping measures do not function as an “access control” under the statute .
Apple’s argument does not exist in a vacuum. Throughout 2026, a coordinated group of YouTube creators — led by the same legal team representing h3h3Productions — has filed a series of class actions against major tech firms, all alleging DMCA anti-circumvention violations for scraping YouTube content to train AI models . The table below summarizes the key cases:
| Company | Lawsuit Filed | Defense Argument at Dismissal |
|---|---|---|
| Snap | January 2026 (amended June 2026) | Snap filed a reply on June 24, 2026, arguing that publicly streamed YouTube videos are not protected by DMCA access-control provisions. The company contends the plaintiffs’ claim is about “copying” of publicly available streams, not circumventing an access barrier . |
| Runway AI | February 2026 | YouTube creator David Gardner sued Runway AI, alleging the AI video startup circumvented YouTube’s safeguards to download videos for training its video-generation model. Runway’s motion to dismiss uses the same public-access logic . |
| Apple | April 2026 (motion to dismiss filed July 2026) | Apple argues publicly viewable videos have no DMCA access control; the company also points to its contractual right to access the platform under YouTube’s terms of service . |
| Amazon | April 2026 | A separate class action from the same creator group accuses Amazon of scraping YouTube content to train its Nova Reel text-to-video model. The case is pending . |
| Meta | December 2025 (voluntarily dismissed February 2026) | A similar DMCA suit against Meta was voluntarily dismissed by the plaintiffs in February 2026 . |
The available sources reveal a recurring defense theme across these cases: defendants argue that publicly viewable YouTube videos cannot form the basis of a DMCA access-control claim, because the statute’s anti-circumvention provision targets measures that prevent access to a work, not technical limits on downloading or copying after access has been granted .
This litigation represents a watershed test of whether the DMCA’s anti-circumvention provisions can be used to police how AI companies obtain training data from publicly accessible online platforms . Two possible outcomes define the stakes:
Early signals are mixed. The Udio decision suggests some courts are willing to let DMCA claims proceed against AI companies . But the Cordova v. Huneault case, which involved a YouTuber suing other creators for using stream-ripping tools, allowed a Section 1201 claim to survive dismissal — a win for the view that YouTube’s rolling cipher is an access control . Meanwhile, Snap’s motion to dismiss, filed in June 2026, is set for a hearing in July 2026, which could provide the first major ruling on these arguments .
As of July 2026, no court has ruled on Apple’s or Snap’s motions in the YouTube scraping cases. The outcome will depend on how courts interpret the line between controlling access to a work and controlling how it is used after access is granted — a question that will define the legal landscape for AI training data for years to come.