Changpeng Zhao (CZ), the former CEO of Binance, recently shared his perspective on a critical question facing developers in the crypto space: Should new AI-focused projects build on a Layer 1 (L1) blockchain or utilize a Layer 2 (L2) solution? His insights provide a valuable framework for understanding the strategic trade-offs in blockchain development for artificial intelligence applications.
CZ suggests that if a project’s primary goal is to leverage blockchain technology for AI economics—such as tokenizing data, facilitating decentralized computation, or creating incentive models—rather than innovating at the protocol level itself, then building on an existing L2 can be the more practical and efficient choice.
Why Layer 2 Solutions Appeal to AI Crypto Projects
For many AI initiatives, the core value proposition isn't about creating a new blockchain but about integrating cryptographic verification, transparent data markets, or decentralized governance into their models. An L2 solution allows them to do exactly that by building atop an established L1 like Ethereum, which provides underlying security and reliability.
This approach offers significant advantages. Teams can bypass the immense technical and financial burden of bootstrapping a new network of validators and nodes. Instead, they can plug into an existing ecosystem, gaining immediate access to decentralized exchanges, lending protocols, oracle networks, and an active user base. This drastically reduces time-to-market and allows developers to focus their resources on perfecting the AI components of their project.
The reliability of a secured base layer, combined with the scalability features of modern L2s like optimistic or zero-knowledge rollups, creates a powerful foundation for AI applications that may require high transaction throughput or low fees for micro-transactions.
Understanding Layer 1 vs. Layer 2 Blockchains
To make an informed decision, developers must understand the fundamental differences between these two layers of blockchain architecture.
A Layer 1 blockchain is the base protocol, the foundational network that processes and finalizes transactions on its own chain. Examples include Bitcoin, Ethereum, and Solana. Building an L1 means creating an entirely new blockchain, which grants a project complete sovereignty over its protocol rules, consensus mechanism, token economics, and governance model. This path offers maximum control and customization, ideal for projects aiming to push the boundaries of blockchain technology itself.
In contrast, a Layer 2 is a secondary framework or protocol built on top of an L1 blockchain. L2 solutions are designed to enhance the scalability and efficiency of the base layer by handling transactions off-chain or in a more computationally efficient manner before eventually settling the final state on the L1. They inherit the security guarantees of the underlying chain while offering higher throughput and lower costs.
The primary trade-off is between sovereignty and practicality. An L1 provides total ownership but requires a massive long-term commitment to security, decentralization, and ecosystem development. An L2 offers a faster, cheaper path to market by leveraging an existing network effect.
The Strategic Decision: Control vs. Speed
For AI crypto projects, this decision hinges on their long-term vision and immediate needs.
Choosing to build an L1 blockchain is a monumental undertaking. It involves designing a tokenomic model, recruiting and incentivizing a distributed validator set, and constantly defending the network against attacks. The process is expensive, time-consuming, and risky. However, the payoff is complete autonomy. Projects with novel consensus mechanisms or specific governance needs for AI decision-making might find this autonomy necessary.
Conversely, opting for an L2 is a strategy of leverage. It is far less capital-intensive and complex. Development teams can utilize proven development frameworks to deploy their applications quickly. They immediately join a vibrant ecosystem with built-in liquidity, users, and interoperability with other protocols. For most AI projects whose innovation lies in their machine learning models or data economies—not their consensus algorithm—this is the logical path.
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Frequently Asked Questions
What is the main difference between L1 and L2 in crypto?
Layer 1 refers to the base blockchain network that validates and finalizes transactions, like Ethereum or Bitcoin. Layer 2 is a scaling solution built on top of an L1 that processes transactions off-chain to reduce load and fees, later settling the final state on the main chain for security.
Why would an AI project choose a Layer 2 solution?
An AI project would typically choose an L2 for practicality. It allows the team to focus resources on developing its artificial intelligence models and tokenomics rather than the immense task of building and securing a new blockchain from scratch. It ensures faster deployment and immediate access to an existing user base and liquidity.
Does building on an L2 make a project less decentralized?
Not necessarily. A well-designed L2 derives its security from the decentralized L1 it settles on. While the project cedes some control over the base protocol, the application layer and user experience can remain fully decentralized. The level of decentralization depends on the specific L2's design.
What are the risks of building a new Layer 1 blockchain?
The risks are significant and include high development costs, the difficulty of bootstrapping a validator network and community, ongoing security vulnerabilities, and the challenge of achieving sufficient decentralization. There is also a risk of failure due to a lack of ecosystem adoption.
Can a project start on an L2 and migrate to its own L1 later?
Yes, this is a common and often wise strategy. A project can launch and grow its user base on an L2 to validate its concept. Once it achieves product-market fit and has the necessary resources, it can then consider the development of its own sovereign L1 chain if needed for greater control or specific features.
How do transaction costs compare between L1 and L2?
Transaction fees (gas fees) are typically orders of magnitude lower on Layer 2 solutions. This is because L2s batch many transactions together and submit only a summary proof to the L1, distributing the cost across all users in the batch. This makes L2s ideal for AI applications that require frequent micro-transactions.