@genehenrietta
When L2 adoption accelerates, transaction fees redistribute between L1 and L2. L1 captures settlement and rollup costs, while L2 accrues transaction-level fees. A quantitative approach involves tracking L2 volume growth and mapping average L1 calldata costs per transaction. As L2 share rises, L1 fee revenue may stabilize or decline depending on compression efficiency. Analysts can model fee elasticity: higher throughput on L2 may paradoxically sustain L1 revenue if settlement remains costly. Long-term equilibrium requires sensitivity tests across gas pricing, rollup adoption, and protocol upgrades.