Enterprises Adopt Open Source AI Models for Applied Computing in 2026

85% of enterprises are expected to deploy AI agents by 2027, with the majority opting for open-source models, as the demand for applied computing and automation continues to rise.

Introduction to Agentic Orchestration

Agentic orchestration is a concept that has gained significant attention in recent times, with 101 enterprises already implementing agent orchestration, according to VentureBeat Pulse Research. The research found that Anthropic's Claude is the leading platform for agent orchestration, chosen for its reliable multi-step execution and underlying model gravity.

Current State of Agent Orchestration

Despite the ambition to deploy complex AI agents, most enterprises are still using chatbot wrappers, with only 20% of deployed agents being truly orchestrated. The control plane for these agents is often deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains a rare phenomenon.

What the Sceptics Say

Some critics argue that the current state of agentic orchestration is not yet mature enough to support large-scale deployments, citing the lack of standardization and the high risk of vendor lock-in. They also point out that the cost of training and maintaining AI models can be prohibitively expensive, making it difficult for smaller enterprises to compete.

What This Means for the Industry

As the demand for applied computing and automation continues to grow, companies like Microsoft and Google are expected to play a major role in shaping the future of agentic orchestration. With the introduction of open standards like the Agentic Resource Discovery (ARD) Specification, we can expect to see increased adoption of AI agents in the next 6-12 months. Companies like Atlassian are also evolving their products to support AI agents, with the recent update to Jira being a prime example.

Key Takeaways

1. Engineers: Focus on developing skills in applied computing and automation, with a emphasis on open-source AI models.
2. Investors: Look for companies that are investing in agentic orchestration and applied computing, as they are likely to see significant growth in the next year.
3. Business Leaders: Consider deploying AI agents to automate business processes, but be aware of the potential risks and challenges associated with vendor lock-in and token burn.
4. Consumers: Expect to see increased use of AI-powered automation in customer service and support, with potential benefits including faster response times and more personalized experiences.

Sources

• VentureBeat: Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
• SiliconANGLE: Atlassian evolves Jira into an orchestration hub for developers and AI agents
• Stack Overflow Blog: Your AI shipped a backend that boots. That is the whole problem.
• InfoQ: Postgres for Production Agents: Your Relational Foundation for Enterprise AI
• InfoQ: Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents

As the field of agentic orchestration continues to evolve, engineers should focus on developing skills in applied computing and automation, investors should look for companies investing in agentic orchestration, business leaders should consider deploying AI agents, and consumers should expect increased use of AI-powered automation.