Ethereum's scaling strategy emphasizes increasing bandwidth over reducing latency, leveraging technologies like PeerDAS and zero-knowledge proofs (ZKPs) to potentially scale thousands of times beyond current capabilities. This approach aligns with the need to support decentralized nodes globally, including in rural and non-data center environments, while maintaining economic viability and censorship resistance. Latency reduction is constrained by physical limits, such as the speed of light, and the necessity to support diverse node environments. However, improvements in peer-to-peer communication and reduced node counts per slot could decrease latency to 2-4 seconds without significant trade-offs. Layer 2 solutions will remain crucial for applications requiring faster processing than Ethereum's "heartbeat," especially as AI-driven applications demand even quicker interactions.