---
title: "Forrester AI disruption model sees infrastructure, data and cybersecurity markets gaining as enterprises scale deployments"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/296328219.md"
description: "Forrester's new AI Disruption Model identifies infrastructure, data/AI, and cybersecurity as the primary markets poised for clear growth as enterprises scale AI deployments. Conversely, labor-intensive knowledge-work services face significant pressure from task replacement. Most enterprise software segments are expected to be reshaped rather than displaced due to embedded workflows, regulation, and switching costs."
datetime: "2026-08-19T09:00:51.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/296328219.md)
  - [en](https://longbridge.com/en/news/296328219.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/296328219.md)
generator: "portal-rs"
---

# Forrester AI disruption model sees infrastructure, data and cybersecurity markets gaining as enterprises scale deployments

-   Forrester rolled out an AI Disruption Model to gauge which technology and service markets will accelerate, reshape, or be disrupted. \* The framework covers 17 categories across more than 200 markets, using factors such as AI substitutability, labor intensity, switching costs. \* Infrastructure, data and AI, cybersecurity and identity were flagged as the only broad areas positioned for clear growth as AI scales. \* Labor-intensive knowledge-work services face the sharpest pressure, with AI expected to replace tasks across implementation, software development, creative work. \* Many enterprise software segments are expected to be reshaped rather than displaced, supported by embedded workflows, regulation, switching costs. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Forrester Research Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 202608190500BIZWIRE\_USPR\_\_\_\_\_20260819\_BW347107) on August 19, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)

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> **Disclaimer: This article is for reference only and does not constitute any investment advice.**