Blockchains may need 1B TPS to support AI agent future: Stripe

2/26/2026, 5:06:41 AM
LyanBy Lyan
Blockchains may need 1B TPS to support AI agent future: Stripe

Blockchains May Need 1 Billion TPS to Support AI Agent Future: Stripe

Blockchains may need 1B TPS to support AI agent future: Stripe

Executives at Stripe, Patrick and John Collison, anticipate a substantial surge in the demands placed on blockchain networks. This projection is fueled by the expected growth in both the adoption and practical applications of artificial intelligence (AI) agents.

The implication is that current blockchain infrastructure may be insufficient to handle the transaction volume generated by a future where AI agents are pervasive and interacting with decentralized systems. This raises significant questions about scalability and the technological advancements needed to support such a future.

Expert View

The Stripe executives' perspective highlights a critical bottleneck in the convergence of AI and blockchain technologies. While AI agents offer unprecedented automation and efficiency, their integration with decentralized systems necessitates a blockchain infrastructure capable of processing an enormous number of transactions per second (TPS). Achieving one billion TPS is a monumental challenge, requiring significant breakthroughs in consensus mechanisms, network architecture, and hardware capabilities. Current blockchain solutions are orders of magnitude away from this level of throughput.

The industry needs to consider Layer-2 scaling solutions, sharding techniques, and potentially entirely novel blockchain architectures to meet the demands of an AI-driven future. Furthermore, the analysis suggests that the cost of transactions and the overall energy consumption of blockchain networks will become even more critical factors in determining their viability for supporting AI agents.

What To Watch

Several key areas warrant close observation in the coming months. Firstly, the progress of Layer-2 scaling solutions on major blockchains like Ethereum will be crucial. Can these solutions deliver the necessary throughput without compromising security or decentralization? Secondly, the development of new consensus mechanisms that can achieve higher TPS while remaining energy-efficient is paramount. Finally, the evolving regulatory landscape surrounding both AI and blockchain will play a significant role in shaping the trajectory of this convergence. Any policies that stifle innovation in either sector could significantly hinder the realization of an AI agent-powered blockchain ecosystem.

We also need to monitor the actual transaction volume generated by early AI agent applications on blockchains. This real-world data will provide valuable insights into the true scalability requirements and help refine the projections made by Stripe and others. The development and adoption of standards for AI agent interaction with blockchains will also be a critical factor.

Source: Cointelegraph