WorkThe story, in brief

Stop Building Agents And Start Building Skills

Your agent strategy is already backwards. Here's why.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A contrarian take on AI architecture priorities: shifting from agent-centric to skill-first design using model context protocol (MCP) as the organizational multiplier for AI deployment.

The key facts

9 to know
  1. Model Context Protocol (MCP) positioned as enabler of skill-first architecture

  2. Tool reuse and modularity framed as org-wide AI multiplier

  3. Agent-building paradigm challenged in favor of skills-as-first-class-citizens approach

  4. Forbes Tech Council contribution (thought leadership piece, not reporting on event)

  5. Model Context Protocol (MCP) enables skill-first AI architecture

  6. Skills-based approach enables tool reuse across organizational agents

  7. Forbes Tech Council contributor piece (opinion/strategic commentary)

  8. Published May 2026

  9. Positioning tools as reusable organizational assets vs. agent-specific implementations

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: The model context protocol (MCP) unlocks a skill-first AI architecture where tools are built and reused everywhere, which makes every agent in your org smarter.
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