BNB Chain is building a fourth, standalone Layer-1 for AI agent trading. Targets: 100,000+ TPS, pre-confirmation under 50 milliseconds, finality under one second. None of it has been proven o
BNB Chain published its second-half 2026 technical roadmap on July 8. The Block reported that the centerpiece is a new Layer 1 blockchain built specifically for AI agent-based trading, separate from the network’s existing infrastructure. That’s a different move than simply squeezing more throughput out of BNB Smart Chain. The team is starting a fresh execution environment because they’ve apparently decided the gap between how humans transact and how trading bots transact can’t be closed with tuning alone.
A person can live with a one or two second wait between clicking “confirm” and seeing a trade settle. An autonomous agent firing off dozens of decisions per second cannot. David Z, BNB Chain’s chief technical officer, told CoinDesk the next phase of work focuses on execution rather than consensus. His explanation was blunt: “All smart contracts today need optimization directly at the execution layer. The chains got fast at consensus and storage, but the execution engine itself still works like it’s translating sentence by sentence.” Consensus has largely been solved across the industry. The bottleneck sits inside the execution layer, and the fix involves just-in-time compilation, which compiles code as it runs instead of interpreting it line by line, plus strength reduction, which swaps expensive computational steps for cheaper equivalents.
The proposed chain aims for more than 100,000 transactions per second, sub-50-millisecond pre-confirmation, and sub-one-second block finality.
BSC itself already improved this year. Block times fell to 450 milliseconds from 750, and benchmark throughput climbed to roughly 5,200 transactions per second from about 2,800, gains that followed the network’s Fermi hard fork. The new chain builds on top of that baseline instead of starting over.
MetricBNB Smart Chain (current)New AI Layer-1 (target)Block interval450msSub-second finalityBenchmark throughput~5,200 TPS100,000+ TPSPre-confirmationNot specifiedUnder 50msMempoolPublicRemoved (TxStream)TxStream removes the public mempool, the queue where pending transactions normally sit visible before confirmation, and routes them straight to block leaders instead. On a standard chain, a pending order is exposed to anyone watching, and that visibility is exactly what lets bots jump ahead of it and skim value off the resulting price move. Take away the visibility and the attack loses its foothold. BNB Chain’s stated goal is execution that feels like a centralized exchange while keeping the self-custody and transparency of an on-chain system. Whether that trade-off is worth it depends on who you ask.
A public mempool is not just an attack surface, it’s also how outsiders verify that transactions get processed fairly. Routing orders straight to a rotating block leader means users have to trust that leaders aren’t quietly reordering or excluding transactions, and auditing that from the outside becomes considerably harder. BNB Chain’s answer is rapid leader rotation, which limits how long any single validator controls the flow, but the design still moves the chain closer to a federated model than the fully open architecture most Layer-1s advertise.
BNB Chain confirmed on its official blogon April 20 that it had become the leading network for autonomous AI agents, with more than 150,000 on-chain deployments, up from fewer than 400 across all of blockchain in January. That’s a roughly 43,750 percent jump in under four months. Third-party tracking from 8004scan puts one in every three AI agents on any blockchain on BNB Chain specifically. A new Layer-1 chasing agent traffic doesn’t need to build that user base from scratch; it already exists next door.
This will be the fourth network in the BNB Chain family, joining BNB Smart Chain, opBNB, and Greenfield, running alongside them instead of pulling activity away from any single one. The roadmap reserves blockspace for oracles, liquidations, and cross-chain bridges, and adds native privacy, account abstraction, gas sponsorship, transaction batching, scheduled execution, and passkey signing. For someone building a trading bot, that reserved blockspace matters more than the headline TPS figure. It means a liquidation engine or an oracle update shouldn’t get crowded out during a volatility spike, which is exactly when it can’t afford to.
The roadmap also mentions quantum-resistant security research, though BNB Chain places that firmly in the research phase rather than this rollout.
Testnet is planned for late 2026, with mainnet targeted for early 2027. Developers get roughly six months to stress-test the latency and throughput claims before real capital touches the chain. Plenty of ambitious blockchain launches have missed their own numbers once they hit a live network.
BNB Chain isn’t alone in building this kind of infrastructure. Stripe-backed Tempo launched its own payments-focused Layer-1 in March alongside the Machine Payments Protocol for agent-to-service transactions. MoonPay launched an Open Wallet Standard the same month with contributors including PayPal and the Ethereum Foundation. Coinbase launched Coinbase for Agents in June, letting AI systems trade crypto and make payments directly. Several large players have already staked out ground here, and BNB Chain’s dedicated chain is a bet that agent traffic deserves infrastructure of its own rather than a slot on general-purpose rails.
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