Co-Intelligence: The Architect's AI Advantage  

A Three-Tier Framework for the AI-Integrated Practice

Sponsored by D5 Render | Presented by Jeff Espinoza and Rob Ward

Live Webinar Airing on July 8, 2026 at 02:00 PM ET

AI isn't a single thing architects need to "learn" — it's a spectrum of capability that is actively reshaping what architects do, and at what level they need to engage. The Three Tiers of Co-Intelligence give architects a map of that spectrum, and more importantly, a way to understand how they need to show up differently at each tier.

The webinar makes the case that as AI ascends from task-level assistance to end-to-end agency, the architect's role doesn't shrink — it elevates. The skills that make a great architect become more valuable, not less, because someone has to direct the machine at the level of intent.

Photo courtesy of D5

 

Speaker

Jeff Espinoza leads regional customer success initiatives focused on adoption, scalable success programs, and long-term partnerships with design firms. With a background spanning technical consulting, visualization, and client strategy, he brings a practical understanding of both design workflows and the technology that powers them.

Speaker

Rob Ward brings experience in both Marketing and Architectural Design to his role as Marketing Manager at D5. He is interested in exploring the ways technology can empower architects to create stronger designs more efficiently.

Originally published in Architectural Record

Originally published in May 2026

LEARNING OBJECTIVES
  1. Identify the three tiers of AI co-intelligence and distinguish the type of human input each tier requires from architectural practitioners.
  2. Describe how the architect's role evolves — from operator to supervisor to creative director — as AI capability advances across the three tiers.
  3. Evaluate their firm's current position across the three tiers and identify strategic opportunities for deeper AI integration.
  4. Apply a Tier Three thinking framework to reframe how they articulate design intent, direct AI workflows, and maintain authorship over AI-assisted outcomes.