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🧠 2025 Was the Breakout Year for Agentic AI — 2026 Will Be About Agentic AI Interoperability

NewBits Digest feature image on Agentic AI Interoperability, showing connected agents and enterprise systems working together across tools and stacks.

In a sharp year-end reflection, IBM argues that 2025 marked the moment agentic AI moved from experimentation to real deployment — and that 2026 will be defined by whether these agents can actually work together.


The shift is already underway.


🔑 What Changed in 2025


  • 🤖 Agentic AI moved from concept to infrastructure

    Enterprises stopped asking “What is an agent?” and started asking “How do we deploy hundreds of them securely?”


  • 🛠️ Developers replaced GUIs as the priority

    IBM’s BeeAI shifted away from end-user interface emphasis toward an open-source developer framework for building and orchestrating agents.


  • 🚀 Deployment became the real bottleneck

    Building agents is easy. Shipping them into production is not.


🧩 Enter Agent Stack


IBM’s answer: Agent Stack — an open, self-hosted deployment layer that lets teams deploy agents built in any framework (BeeAI, LangGraph, CrewAI, or custom code) in minutes, behind the firewall.


The core insight:


👉 Developers want to focus on agent logic — not infrastructure.


Built on the Agent-to-Agent (A2A) protocol, Agent Stack is designed for:


  • 🔐 Enterprise-grade security and compliance


  • 📈 Auto-scaling and observability


  • 🔄 Framework-agnostic interoperability


  • 🚫 No vendor lock-in


🌐 Why 2026 Will Be the Year of Agentic AI Interoperability


  • The Linux Foundation launched the Agentic AI Foundation


  • Anthropic contributed its Model Context Protocol (MCP) under open governance


  • A2A and MCP are emerging as key open standards that can help agents communicate and operate across systems


In short: agents can’t scale in silos.


⚠️ Why It’s Important


  • 🧠 Agent sprawl is inevitable — without shared standards, ecosystems become fragmented and unmanageable


  • 🏢 Organizations need multi-agent systems that operate across teams, tools, and vendors — not locked into closed stacks


  • 🔒 Governance, security, and deployment speed — not model novelty — will determine who succeeds at scale


  • 🧱 Closed ecosystems will struggle in an open, agent-to-agent future


🎯 The Takeaway


2025 proved agentic AI works.

2026 will determine who can scale it responsibly.


The winners won’t be the companies with the most agents —

they’ll be the ones with interoperable, governed, production-ready agent stacks built for agentic ai interoperability.


AI isn’t becoming an app.

It’s becoming the connective tissue of enterprise operations.



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