Recent research shows that a large majority of developers are eager to switch AI vendors if they find better, more scalable, and compliant solutions. As AI technology becomes more integral to business operations, teams are focusing on building agentic workflows—automated systems that can act and make decisions independently. The shift indicates a rapidly evolving market where organizations prioritize reliable infrastructure to support these advanced AI systems.

Growing Adoption of AI Agents in Development

According to the 2026 State of Agentic AI report by Nylas, over two-thirds of developers are actively creating or deploying agentic workflows. These workflows involve AI agents that can perform tasks with minimal human intervention, and many are already being integrated into everyday operations. Furthermore, 85% of respondents believe that within three years, having AI agents will become a standard requirement for competitive businesses.

This rapid adoption highlights a shift from experimental projects to full-scale operational deployment. Companies are moving quickly to embed AI agents into their software stacks, signaling a new era where automation and AI-driven decision-making become core to business processes. This trend is reshaping how organizations think about their technology infrastructure and vendor partnerships.

Vendor Switching and Infrastructure Priorities

The survey reveals that 94% of respondents would consider changing vendors if they found providers offering stronger, scalable, and compliant AI capabilities. This shows a clear demand for platforms that can deliver reliable data layers, seamless APIs, and built-in governance. Vendors that can meet these demands are poised to gain a competitive advantage in this fast-moving space.

While adoption is accelerating, the report notes that most teams are deploying agentic systems carefully. They often roll out new workflows gradually, maintaining human oversight and governance controls. Reliability, observability, and compliance are top priorities as organizations scale these systems across real-world environments. This cautious approach helps ensure that AI integrations are stable and trustworthy.

Industry leaders are already seeing large-scale AI adoption. For example, a prominent company reports having over 3,200 AI agents working alongside 1,300 human employees. Managers are even overseeing their AI agents, including those managing other AI agents, to ensure smooth operation and proper oversight. This layered management reflects the growing complexity and importance of agentic AI within organizations.

As AI agents become embedded into daily workflows, infrastructure decisions are becoming more strategic. Companies are looking for platforms capable of supporting scalable, compliant, and production-ready AI systems. Such infrastructure will define the next phase of market growth, pushing vendors to innovate and improve their offerings.

Overall, the report underscores that AI development is no longer just about adding features but about building a robust foundation for future growth. Organizations that prioritize reliable, governance-friendly platforms will be better positioned to stay competitive in this AI-driven landscape.

Inspired by

• https://ai-techpark.com/94-of-developers-eye-vendor-switch-amid-ai-race/