Why It Matters

AI companies are using its journalistic content to train commercial products without permission or compensation. Axel Springer is lobbying to establish transparency requirements and fair compensation frameworks that would force AI developers to disclose what copyrighted material they’ve used and to pay for it.

Axel Springer’s strategy leverages favorable congressional momentum where bipartisan support exists for AI copyright protections, particularly through the TRAIN Act’s transparency mechanism, while navigating uncertainty from a Trump administration that has signaled friendliness toward deregulating AI development.

By the Numbers

Axel Springer SE began formal U.S. federal lobbying in July 2024 and has since filed 17 disclosure reports, spending approximately $1.01 million through early 2026.

This fourth quarter 2025 filing represents $110,000 in in-house lobbying conducted by Amelia Wang Binder. The company’s total in-house lobbying spending stands at $691,774 across 7 filings. Axel Springer has also retained external firms: ACG Advocacy LLC ($240,000) and Marla Grossman LLC ($80,000).

Wang Binder brings specialized expertise, having spent 12 years as House staff including Chief of Staff for Rep. Judy Chu (D-CA-28), who sits on the House Judiciary Committee overseeing copyright law. She previously lobbied for the National Music Publishers’ Association on digital licensing and copyright compensation frameworks.

The Agenda

Axel Springer, publisher of Politico, is lobbying to influence U.S. policy on copyright and artificial intelligence, specifically to ensure "fair compensation for the use of journalistic content" by AI systems.

The company’s primary legislative target is the TRAIN Act, which would create transparency mechanisms allowing copyright owners to compel AI developers to disclose datasets used in training models. The bipartisan bill, introduced by Senators Marsha Blackburn (R-TN), Peter Welch (D-VT), Josh Hawley (R-MO), and Adam Schiff (D-CA) and Representatives Madeleine Dean (D-PA) and Nathaniel Moran (R-TX), would provide transparency needed to establish licensing negotiations.

Broader Context

Congress is moving aggressively to regulate how AI companies use copyrighted content. The Senate Judiciary Committee held a July 2025 hearing titled "Too Big to Prosecute?: Examining the AI Industry’s Mass Ingestion of Copyrighted Works for AI Training," signaling serious legislative momentum.

However, the Trump administration fired the U.S. Copyright Office director after she released a report questioning AI companies’ fair use defense, raising concerns about potential interference in copyright policy.

Meanwhile, copyright litigation against AI companies has exploded, with consolidated lawsuits from authors and newspaper publishers challenging whether AI training qualifies as fair use.

Competitive Landscape

Axel Springer is lobbying alongside a powerful coalition of content creators. The Recording Industry Association of America (RIAA), Broadcast Music Inc. (BMI), and American Society of Composers, Authors and Publishers (ASCAP) are actively lobbying on parallel AI copyright issues. The RIAA’s first quarter 2025 spending surged to $2.5 million on copyright and AI issues, while BMI and ASCAP maintain consistent quarterly expenditures of $60,000. These organizations share Axel Springer’s core objective: ensuring AI developers disclose copyrighted materials used in training and compensate creators fairly.

The Bottom Line

Axel Springer’s lobbying push reflects a fundamental battle over AI’s access to copyrighted content. The German publisher is advocating for "fair compensation" from AI developers—a goal that has gained congressional traction through bipartisan support for the TRAIN Act, but faces potential headwinds from a Trump administration skeptical of regulating AI development. With litigation mounting and congressional attention intensifying, the stakes for content creators hinge on whether transparency mechanisms can be enacted before the policy environment shifts toward tech-friendly deregulation.

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