Crypto's primary advantage is its ability to automate processes that rely on expensive human-based trust (brokers, lawyers) with software and cryptography, which offer mathematical guarantees at a fraction of the cost.

As AI makes it easy to fake video and audio, blockchain's immutable and decentralized ledger offers a solution. Creators can 'mint' their original content, creating a verifiable record of authenticity that nobody—not even governments or corporations—can alter.

As AI agents become sophisticated, they'll need to pay for services. Traditional banking is too slow and fragmented for them. Crypto, as the internet's native money, provides the instant, global, low-fee rails for AI agents to transact with each other and with web services, creating a major new use case.

As AI-generated 'slop' floods platforms and reduces their utility, a counter-movement is brewing. This creates a market opportunity for new social apps that can guarantee human-created and verified content, appealing to users fatigued by endless AI.

As large AI models exhaust public training data, they need novel sources. Crypto provides a powerful solution by creating financial incentives for a global, distributed workforce to collect specific data (e.g., first-person video for robotics). This creates a new market where the demand side from AI companies is nearly guaranteed.

Politician Alex Boris argues that expecting humans to spot increasingly sophisticated deepfakes is a losing battle. The real solution is a universal metadata standard (like C2PA) that cryptographically proves if content is real or AI-generated, making unverified content inherently suspect, much like an unsecure HTTP website today.

The rise of convincing AI-generated deepfakes will soon make video and audio evidence unreliable. The solution will be the blockchain, a decentralized, unalterable ledger. Content will be "minted" on-chain to provide a verifiable, timestamped record of authenticity that no single entity can control or manipulate.

As AI capabilities accelerate toward an "oracle that trends to a god," its actions will have serious consequences. A blockchain-based trust layer can provide verifiable, unchangeable records of AI interactions, establishing guardrails and a clear line of fault when things go wrong.

The current debate focuses on labeling AI-generated content. However, as AI content floods the internet and becomes the default, the more efficient system will be to label the smaller, scarcer category: authentic, human-created content.