Sattar Chaqer
--
Why AI Agents Need a Sovereign L1 Instead of Relying on L2s
At first glance, it seems logical to run AI agents on an L2. Lower fees, faster settlement, abundant throughput the usual selling points. But agent economies don’t behave like human economies. Their requirements go deeper, and this is where Kite’s design as a sovereign Layer 1 becomes essential.
Agents need guaranteed execution, not probabilistic settlement. L2s batch transactions, rely on sequencers, and inherit finality with delay. For humans, these trade offs are invisible. For agents, they break the decision loop. An agent must act, observe, and adapt instantly. Waiting for upstream confirmation leads to drift, misalignment, and broken strategies.
Agents also require consistent fees. L2s inherit volatility from their parent chain. A sudden L1 spike can cascade through the L2 and disrupt thousands of agent workflows. A sovereign L1 like Kite can tune its economy around the behavior of machines, not humans.
Identity adds another layer. L2s borrow identity assumptions from L1s human centric, monolithic, key based. Agents need multi-layered identity: user → agent → session. This structure cannot be retrofitted onto a general purpose L2 without breaking compatibility or security expectations.
Most importantly, agents need native guarantees.
Native sequencing.
Native consensus.
Native identity.
Native economic logic.
These aren’t optional. They’re the backbone of a safe agentic ecosystem.
From my perspective, L2s are excellent for scaling human transactions. But AI agents require a different foundation one built specifically for autonomy and verifiable control. A sovereign L1 like Kite provides that foundation without compromise.
@KITE AI #KITE $KITE
Agents need guaranteed execution, not probabilistic settlement. L2s batch transactions, rely on sequencers, and inherit finality with delay. For humans, these trade offs are invisible. For agents, they break the decision loop. An agent must act, observe, and adapt instantly. Waiting for upstream confirmation leads to drift, misalignment, and broken strategies.
Agents also require consistent fees. L2s inherit volatility from their parent chain. A sudden L1 spike can cascade through the L2 and disrupt thousands of agent workflows. A sovereign L1 like Kite can tune its economy around the behavior of machines, not humans.
Identity adds another layer. L2s borrow identity assumptions from L1s human centric, monolithic, key based. Agents need multi-layered identity: user → agent → session. This structure cannot be retrofitted onto a general purpose L2 without breaking compatibility or security expectations.
Most importantly, agents need native guarantees.
Native sequencing.
Native consensus.
Native identity.
Native economic logic.
These aren’t optional. They’re the backbone of a safe agentic ecosystem.
From my perspective, L2s are excellent for scaling human transactions. But AI agents require a different foundation one built specifically for autonomy and verifiable control. A sovereign L1 like Kite provides that foundation without compromise.
@KITE AI #KITE $KITE
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.