Skip to content

Generative AI Architecture Trends

The following prompt was given to OpenAI's Deep Research tool.

Prompt

Please use the "Deep Research" feature to find out the key trends on how enterprise architects are using generative AI as a force multiplier to have larger impact within their organizations. Generate a list of the top 10 trends and then provide detailed references in the following format:

  1. Site Title - publication_date - publication_name - description of how this site is related to the use of generative AI in enterprise architecture

Response

ChatGPT Said — GPT-5 Thinking ChatGPT thought for 45 seconds.

Here’s a concise, research-driven view of how enterprise architects (EAs) are using generative AI as a force multiplier.

  1. Agentic AI moves from pilots to platform features. EAs are planning for multi-agent patterns, persistent memory, and agent-to-agent standards as vendors roadmap “agentic” capabilities into mainstream software. (Gartner)
  2. “Continuous EA”: living, real-time architecture models. AI augments EA with telemetry-fed, machine-readable models and copilots that advise, validate, and even act—shifting EA from episodic reviews to continuous governance. (Forrester)
  3. AI-augmented EA tooling becomes standard. Leading EAMS vendors embed GenAI for inventory building, modeling, documentation, reasoning (e.g., MCP gateways), and governance—multiplying EA throughput. (leanix.net)
  4. Enterprise-wide AI governance anchored in EA. EAs stand up policies, controls, catalogs, and lineage to de-risk AI at scale; dedicated EA-led AI management solutions are emerging. (ardoq.com)
  5. Data fabric & knowledge layers as AI context backbones. To curb hallucinations and enable agent orchestration, EAs prioritize unified, governed data fabrics/knowledge graphs over fragmented data silos. (TechRadar)
  6. Open, modular AI reference architectures. EAs design reusable services with APIs plus “policy-as-code” and “infra-as-code” to swap models/providers and scale reuse across domains. (McKinsey & Company)
  7. Core modernization with an “intelligent core.” GenAI is woven into ERP/core systems and modernization programs, with EA steering where AI augments processes vs. replaces them. (Deloitte)
  8. Value-linked roadmaps & portfolio rationalization. EA uses GenAI to accelerate capability mapping, scenario design, and tech-debt reduction—tying AI initiatives to measurable business outcomes. (Gartner)
  9. Pragmatism on impact metrics. After early hype, EAs emphasize integration with workflows and measurable P\&L impact; most value comes when AI is applied to specific, automatable back-office work. (Tom's Hardware)
  10. Skills & methods refresh within EA frameworks. TOGAF-aligned guidance and skills updates reflect AI-era roles (governance, building-block selection, sustainability)—raising EA’s strategic profile. (blog.opengroup.org)

References (verified)

  1. 3 Trends Driving Enterprise Architecture Strategy in 2025 - 2025-03-05 - Gartner - Frames EA’s 2025 priorities (value delivery amid disruptive AI), supporting trend #8 on value-linked roadmaps and EA’s strategic role. (Gartner)
  2. The 2025 Hype Cycle for Artificial Intelligence - 2025-07-08 - Gartner - Places genAI/agentic capabilities on the maturity curve, informing timing for EA adoption and guardrails (trend #1). (Gartner)
  3. How Agentic AI Elevates The Enterprise Architect’s Role - 2025-08-25 - Forrester - Discusses agentic AI embedded in EA tools and the evolving EA role (trend #1 & #2). (Forrester)
  4. Real-Time Enterprise Architecture In The Age Of AI - 2025-04-02 - Forrester - Defines “continuous EA” with AI assistants that advise/validate/act (trend #2). (Forrester)
  5. Tech Trends 2025 – Intro: AI is everywhere - 2024-12-11 - Deloitte Insights - Positions AI as an “intelligent core,” guiding EA-led modernization patterns (trend #7). (Deloitte)
  6. Technology Trends Outlook 2025 - 2025-07-22 - McKinsey - Highlights agentic AI and consolidates AI trends; useful for EA roadmapping and sequencing (trend #1). (McKinsey & Company)
  7. Overcoming two issues that are sinking gen-AI programs - 2025-06-06 - McKinsey - Advocates open, reusable AI architectures with policy/infra as code, directly informing trend #6. (McKinsey & Company)
  8. Seeing double: increasing trust in agentic AI - 2025-09-10 - TechRadar Pro - Explains why data fabric, A2A, and MCP-like standards matter for agent reliability (trends #1 & #5). (TechRadar)
  9. SAP LeanIX releases AI-assisted inventory builder - 2025 (site “What’s new”) - SAP LeanIX - Example of AI-augmented EA tooling (trend #3). (leanix.net)
  10. Bizzdesign Horizzon Generative AI features - 2024-09-09 - Bizzdesign - Describes genAI for documentation and diagram assistance in EAMS (trend #3). (Bizzdesign)
  11. Ardoq becomes first EA platform to support AI-level reasoning via MCP - 2025-05-28 - Ardoq - Vendor example of MCP integration enabling conversational reasoning over EA data (trends #1 & #3). (ardoq.com)
  12. Ardoq Launches Enterprise AI Management Solution - 2025-09-02 - Ardoq - Illustrates EA-led AI governance solutions (trend #4). (ardoq.com)
  13. SAP LeanIX’s EA Insights 2025 Survey - 2025-06-26 - SAP LeanIX - Survey evidence that investment and governance are increasing, supporting trends #4 & #8. (leanix.net)
  14. Navigating the TOGAF Standard, 10th Edition – updates and insights - 2025-07-01 - The Open Group - Shows EA skills and building-block guidance evolving for the AI era (trend #10). (blog.opengroup.org)
  15. MIT study (reported): 95% of gen-AI implementations lack measurable P\&L impact - 2025-08-20 - Tom’s Hardware (summarizing MIT research) - Context for impact discipline and integration priorities (trend #9). (Tom's Hardware)

If you want, I can turn these into a one-page EA “playbook” slide—capabilities, patterns, metrics, and a vendor landscape—ready to drop into your board or client decks.