AI operating system: concurrent agents that finish business work

AI operating system: concurrent agents that finish business work targets a $120.0B = 200M knowledge workers x $600/yr average productivity SaaS spend total addressable market with medium saturation and a year-over-year growth rate of 35% (AI-enabled enterprise software & automation).

Key trends driving demand: Agentization -- businesses move from single-chat assistants to orchestrated agents that can run loops and manage workflows end-to-end, increasing demand for orchestration layers.; RAG & Vectorization -- embeddings and vector DBs make company knowledge actionable, enabling agents to act on SOPs and historical records with higher accuracy.; Composable infra -- managed LLM APIs, serverless compute, and orchestration libs lower build time, enabling startups to iterate fast and ship agent features.; Enterprise adoption of AI -- CFOs and CIOs are allocating new budgets for productivity AI and automation, accelerating procurement cycles for well-governed agent platforms..