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10/17/2024

a16z New Report: Crypto Could Solve Some of the Most Pressing Challenges Facing AI

According to the "State of Crypto Assets 2024" report published by a16z, crypto assets play a critical role in addressing the challenges posed by artificial intelligence (AI). One of the key problems AI faces is that development is becoming increasingly expensive and centralized, while the report proposes decentralized solutions built on blockchain technology. The report highlights that 34% of crypto asset projects now incorporate AI — up significantly from 27% in 2023 — with many projects focused on

a16z New Report: Crypto Could Solve Some of the Most Pressing Challenges Facing AI

According to the "State of Crypto Assets 2024" report published by a16z, crypto assets play a critical role in addressing the challenges posed by artificial intelligence (AI).

One of the key problems AI faces is that development is becoming increasingly expensive and centralized, while the report proposes decentralized solutions built on blockchain technology.

The report highlights that 34% of crypto asset projects now incorporate AI — up significantly from 27% in 2023 — with many projects focused on making AI more accessible through decentralized networks.

At the same time, the cost of developing and training advanced AI models is skyrocketing, leading to a concentration of resources among a handful of large tech companies. This concentration stifles innovation and limits access to the computing power needed for AI breakthroughs.

However, crypto asset projects are beginning to shift this dynamic by distributing access to AI resources.

The report points to projects like Gensyn as leading efforts to democratize AI computing power.

Gensyn's decentralized network allows smaller developers and startups to access the computational resources needed to train AI models, removing the financial barriers associated with traditional AI development.

By decentralizing AI infrastructure, these projects open up opportunities for a broader range of participants to innovate in the AI space — rather than leaving AI in the hands of a few dominant players.

Beyond distributing resources, blockchain technology can also enhance the transparency of AI processes, particularly when it comes to verifying intellectual property (IP) ownership and content provenance.

Projects like Near and Story use blockchain to track and verify the origin of digital content, ensuring that creators receive proper recognition and compensation.

This verification system addresses an increasingly serious issue in AI: training datasets often include unlicensed, uncompensated material sourced from creators without their consent.

The report also argues that blockchain's inherent transparency could help restore public trust in the AI industry.

Over the past five years, American public trust in AI companies has dropped sharply — from 50% down to 35% in 2024.

As crypto asset developers increasingly integrate AI into their projects, blockchain infrastructure remains the most common area of AI adoption.

According to a16z's Builder Energy dashboard, builders are using AI to optimize smart contracts, enhance decentralized autonomous organizations (DAOs), and improve algorithmic trading systems.

The report notes that as blockchain infrastructure continues to mature, the potential for AI-powered applications within the crypto ecosystem is expanding as well.

Significant advances in blockchain technology have dramatically reduced transaction costs, making it easier to build scalable AI applications.

Lower costs create more room for experimentation and innovation at the intersection of AI and decentralized technology — driving the development of new applications in areas such as identity verification, prediction markets, and content authentication.

All of these use cases point to AI's potential to unlock new functionality across blockchain platforms.