Forrester Introduces AI Disruption Model To Assess AI’s Impact On Technology And Service Markets
With AI widening the divide across tech products and services, the model helps leaders identify the markets most likely to accelerate, transform, or face disruption
CAMBRIDGE, Mass., August 19, 2026--According to Forrester's (Nasdaq: FORR) AI Disruption Model, unveiled today, advancements in AI are disrupting technology markets at an unprecedented pace — enhancing the value of certain products and services while making others increasingly vulnerable to replacement. Two new reports, The Forrester AI Disruption Model: How AI Disrupts Or Accelerates Technology And Service Markets and The Forrester AI Disruption Model: Category Analysis, reveal that technology products and services that enable, secure, and govern AI are poised for significant growth due to organizations moving from experimentation to enterprise-scale deployment of AI applications and autonomous agents. In comparison, skills-based services will face disruption as AI assumes tasks that have traditionally depended on human expertise.
Applied to 17 technology and service categories comprising more than 200 technology and service markets, the model analyzes whether AI is likely to accelerate, disrupt, reshape, or have limited impact on individual markets. The factors include: AI substitutability, labor intensity, support for agentic workloads, commercial models, data and trust advantages, agentic workload support, AI-focused R&D investment, regulatory friction, asset intensity, and switching costs.
Key findings from the research include:
AI enablers are positioned for growth. Infrastructure providers (cloud platforms, data centers, and storage), data and AI providers (AI models, AI platforms, data management, and governance solutions), and cybersecurity and identity providers (including Zero Trust and AI agent security) are the only three markets expected to benefit as enterprises scale AI deployments.
Labor-intensive knowledge-work industries face the greatest disruption. Transformation services, technology implementation, software development, creative services, localization, and training markets will experience pressure as AI substitutes for activities traditionally performed by people, including coding, content creation, and translation.
Many enterprise software categories will be reshaped rather than displaced. Business applications, governance and compliance, process automation, customer experience, and marketing technology are expected to evolve as AI transforms workflows and user experiences. While these categories are vulnerable to disruption, embedded workflows, regulatory requirements, switching costs, and growing demand for data, orchestration, governance, and trust capabilities help sustain their relevance.