Back to blog
Industry Analysis

Forrester: 2026, the Year AI Gets Real and MCP Becomes Critical Infrastructure

March 14, 2026Rodrigo Ramos
Forrester: 2026, the Year AI Gets Real and MCP Becomes Critical Infrastructure

Forrester: 2026, the Year AI Gets Real

Forrester, one of the world's most influential research and advisory firms, has published its predictions for 2026 with a clear message: this is the year AI stops being experimental and becomes operational.

Parallel AI Functions Mirroring Human Roles

Forrester's most striking prediction is that 30% of enterprises will create parallel AI functions that mirror human service roles. This includes:

  • Managers to onboard and coach AI agents
  • Operational teams to optimize AI performance
  • Specialists to "unblock" AI when it falters

This vision implies that AI agents will not simply be tools, but functional team members requiring management, context, and oversight.

MCP as a Critical Enabler

Forrester specifically highlights the Model Context Protocol as critical infrastructure for agentic AI adoption:

"Tech leaders need to interrogate their business app vendors on their approach to MCP as this starts to address some critical governance challenges for adopting agentic AI."

This direct recommendation from Forrester to tech leaders underscores that MCP is not an optional technology but a requirement for responsible AI agent governance.

New Business Models Driven by Agents

Forrester also predicts that AI agents will fundamentally change business models and workplace culture. Companies that do not adapt to this reality will fall behind competitors that effectively integrate AI agents into their operations.

The Connection to Context Management

If enterprises are going to create parallel AI functions with managers, operational teams, and specialists, context management becomes the central nervous system of this new organizational structure.

Each AI agent needs:

  • Context about its role and responsibilities
  • Access to information relevant to its tasks
  • Real-time updates when context changes

Contextaify provides exactly this capability: a centralized hub where context is created, versioned, and automatically distributed to every agent and AI tool.


Sources:

We use cookies

We use cookies to improve your experience, analyze traffic, and personalize content. You can accept all, reject optional ones, or configure your preferences. Cookie policy