AI-generated content needs blockchain before trust in digital media collapses



Opinion by: Roman Cyganov, founder and CEO of Antix

In the fall of 2023, Hollywood writers took a stand against AI’s encroachment on their craft. The fear: AI would churn out scripts and erode authentic storytelling. Fast forward a year later, and a public service ad featuring deepfake versions of celebrities like Taylor Swift and Tom Hanks surfaced, warning against election disinformation. 

We are a few months into 2025. Still, AI’s intended outcome in democratizing access to the future of entertainment illustrates a rapid evolution — of a broader societal reckoning with distorted reality and massive misinformation.

Despite this being the “AI era,” nearly 52% of Americans are more concerned than excited about its growing role in daily life. Add to this the findings of another recent survey that 68% of consumers globally hover between “somewhat” and “very” concerned about online privacy, driven by fears of deceptive media. 

It’s no longer about memes or deepfakes. AI-generated media fundamentally alters how digital content is produced, distributed and consumed. AI models can now generate hyper-realistic images, videos and voices, raising urgent concerns about ownership, authenticity and ethical use. The ability to create synthetic content with minimal effort has profound implications for industries reliant on media integrity. This indicates that the unchecked spread of deepfakes and unauthorized reproductions without a secure verification method threatens to erode trust in digital content altogether. This, in turn, affects the core base of users: content creators and businesses, who face mounting risks of legal disputes and reputational harm. 

While blockchain technology has often been touted as a reliable solution for content ownership and decentralized control, it’s only now, with the advent of generative AI, that its prominence as a safeguard has risen, especially in matters of scalability and consumer trust. Consider decentralized verification networks. These enable AI-generated content to be authenticated across multiple platforms without any single authority dictating algorithms related to user behavior.

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Getting GenAI onchain

Current intellectual property laws are not designed to address AI-generated media, leaving critical gaps in regulation. If an AI model produces a piece of content, who legally owns it? The person providing the input, the company behind the model or no one at all? Without clear ownership records, disputes over digital assets will continue to escalate. This creates a volatile digital environment where manipulated media can erode trust in journalism, financial markets and even geopolitical stability. The crypto world is not immune from this. Deepfakes and sophisticated AI-built attacks are causing insurmountable losses, with reports highlighting how AI-driven scams targeting crypto wallets have surged in recent months. 

Blockchain can authenticate digital assets and ensure transparent ownership tracking. Every piece of AI-generated media can be recorded onchain, providing a tamper-proof history of its creation and modification. 

Akin to a digital fingerprint for AI-generated content, permanently linking it to its source, allowing creators to prove ownership, companies to track content usage, and consumers to validate authenticity. For example, a game developer could register an AI-crafted asset on the blockchain, ensuring its origin is traceable and protected against theft. Studios could use blockchain in film production to certify AI-generated scenes, preventing unauthorized distribution or manipulation. In metaverse applications, users could maintain complete control over their AI-generated avatars and digital identities, with blockchain acting as an immutable ledger for authentication.