Can the 50-Year-Old Actor Model Rescue Agentic AI?

Agentic AI is moving from research to production, with 34% of businesses now deploying AI agents, but most projects remain stuck as proof-of-concepts due to infrastructure challenges. Traditional cloud architecture patterns like containers and serverless functions struggle with AI agents that need persistent memory, long-running processes, and massive parallel coordination. Autonomy's new platform leverages the actor model, where lightweight, stateful actors can run millions of agents efficiently while maintaining secure communication through cryptographic identities, potentially solving the scalability bottleneck preventing agentic AI from reaching production.