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

Opinion: Roman Cyganov, founder and CEO of Antix

In the fall of 2023, Hollywood writers confronted the AI ​​invasion about their craft. Fear: AI unleashes scripts and erodes real storytelling. Fast forward a year later, public service ads featuring Deep Fark versions of celebrities like Taylor Swift and Tom Hanks emerged, warning against election disinformation.

We're in 2025 a few months. Nevertheless, the intended consequences of AI democratizing access to the future of entertainment demonstrate the rapid evolution of broader social calculations with distorted reality and massive misinformation.

Despite this being the “AI era,” nearly 52% of Americans are more interested than excited by its growth role in everyday life. In addition to this, the findings from recent surveys have hovered globally about 68% of consumers “somewhat” and “very” concerns about online privacy caused by fear of deceptive media.

It's no longer about memes or deepfakes. Media generated by AI fundamentally changes how digital content is produced, distributed and consumed. AI models can now generate surreal images, videos and voices, which can raise urgent concerns about ownership, reliability and ethical use. The ability to create synthetic content with minimal effort has a significant impact on industries that rely on media integrity. This shows that the unidentified spread and unauthorized reproduction of deepfakes without a safe verification method threatens to completely erode trust in digital content. This affects the central foundation of content creators, businesses and users facing the risk of legal disputes and reputational harm.

Blockchain technology is often touted as a reliable solution for content ownership and distributed control, but it has generated the emergence of prominent AI as protection, particularly in issues of scalability and consumer trust. Consider a distributed verification network. These allow AI-generated content to be authenticated across multiple platforms without the single authority to determine the algorithms associated with the user's behavior.

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Current intellectual property laws are not designed to address AI-generated media, leaving a significant regulatory gap. If an AI model generates content, who legally owns it? Is there anyone who is providing input, the company behind the model, or no one is offering it at all? Without a clear ownership record, disputes over digital assets will continue to escalate. This creates a precarious digital environment in which manipulated media can erode trust in journalism, financial markets and even geopolitical stability. The world of cryptography is no longer immune. Attacks built with deepfakes and sophisticated AI have caused insurmountable losses, highlighting how AI-driven scams targeting Crypto wallets have skyrocketed over the past few months.

Blockchain can authenticate digital assets and ensure transparent ownership tracking. All parts of the AI-generated media can be recorded on-chain, providing a tamper-proof history of its creation and modification.

It resembles a digital fingerprint of AI-generated content, and allows companies to permanently link to its sources, allowing creators to prove ownership, allowing consumers to track content usage and verify trustworthiness. For example, game developers can register AI-created assets on the blockchain so that their origins can be traced and protected from theft. Studios can use blockchain in film production to prove scenes generated by AI, preventing unauthorized distribution and manipulation. In metaverse applications, users have full control over AI-generated avatars and digital identities, and the blockchain acts as an immutable ledger for authentication.

End-to-end use of blockchains ultimately prevents unauthorized use of AI-generated avatars and synthetic media by implementing on-chain identity verification. This ensures that digital representation is tied to validated entities and reduces the risk of fraud and spoofing. The generator AI market is projected to reach $1.3 trillion by 2032, and securing and verifying AI-generated media in particular, particularly AI-generated media, is more pressing than ever through such a decentralized verification framework.

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Such a framework can help combat misinformation and content fraud while allowing it to cross industry. This open, transparent and secure foundation benefits creative sectors such as advertising, media, and virtual environments.

We aim to adopt large scale among existing tools

Some people argue that centralized platforms need to handle AI validation as they control most content delivery channels. Others believe that watermark technology and government-led databases provide adequate surveillance. It has already been proven that watermarks can be easily removed or manipulated, and centralized databases remain vulnerable to hacking, data breaches, or control by a single entity of interest.

AI-generated media is evolving faster than existing safeguards, leaving companies, content creators and platforms exposed to increased fraud and reputational damage.

For AI to become a tool for progress rather than a deception, authentication mechanisms must move forward simultaneously. The biggest advocate for mass adoption of blockchain in this sector is to provide scalable solutions that are consistent with the pace of advances in infrastructure support and AI required to maintain transparency and legitimacy of IP rights.

The next stage in the AI ​​revolution is defined not only by its ability to generate hyperreal content, but also by the mechanisms that place these systems on time.

Without a distributed verification system, it is only a matter of time before industries relying on AI-generated content lose credibility and face increased regulatory scrutiny. It's not too late for the industry to take this aspect of a decentralized authentication framework more seriously before digital trusts collapse under unconfirmed deceptions.

Opinion: Roman Cyganov, founder and CEO of Antix.

This article is for general informational purposes and is not intended to be considered legal or investment advice, and should not be done. The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or express Cointregraph's views and opinions.