The short answer
Forrester introduced its AI Disruption Model on August 20, 2026, mapping 200+ markets across 17 technology and service categories using nine weighted factors. The model produces four outcome tiers: Clear Growth Winners (infrastructure, data, AI platforms, security), Reshaped Not Displaced (enterprise apps, compliance, CX, process automation), Pressured Services (tech implementation, software development, creative services, training), and Limited Impact segments. The decisive factor is not whether a market uses AI — it is whether AI can replicate the market’s core value without a human intermediary.
The four-tier disruption map
Forrester’s framework evaluates each market across nine disruption drivers: AI substitutability, labor intensity, agentic workload support, commercial models, data and trust advantages, R&D investment, regulatory friction, asset intensity, and switching costs. The combination produces a continuous risk gradient rather than a binary disruption verdict. Craig Le Clair, the report’s lead analyst, summarized the core finding: “Only markets in three categories are broadly positioned for clear growth. Others will be forced to adapt.”
The model covers 17 technology and service categories spanning more than 200 individual markets. The nine-factor scoring approach is a direct response to prior “SaaSpocalypse” narratives that treated enterprise software as uniformly at risk. Forrester’s position is that AI/ML and data capabilities sit at the acceleration end of the spectrum, not the disruption end — a distinction that has significant implications for enterprise technology investment.
Clear growth winners
The clearest winners in Forrester’s model are the markets that provide infrastructure for AI workloads rather than competing with AI for labor value. The report names infrastructure, data and AI platforms, and identity, access, and network security as the three categories positioned for historic acceleration. Within those buckets, specific winners include: cloud platforms and data centers, AI model providers, AI platform tooling, data management and pipeline infrastructure, governance and observability tools, Zero Trust security vendors, and tooling that secures AI agent identities and permissions.
The common thread is that these markets sell picks and shovels for AI deployments. As enterprises move from AI experimentation to production-scale agent deployments, spend in every one of these categories compounds. Gartner’s 2026 data cited in the Forrester analysis puts total enterprise cloud spending at $500 billion annually — much of it now driven by AI buildouts rather than traditional workload migration. That capital flows disproportionately to clear-growth-winner categories.
Security tooling for AI agents deserves specific attention. The Sophos AI Security 2026 Report, released in the same period, found that 88% of organizations reported confirmed or suspected AI agent security incidents in the past year. Yet 82% of executives believed their existing policies already protected them from unauthorized agent actions. That gap is a market, and Zero Trust vendors, agent identity platforms, and AI governance tools are positioned to fill it.
Pressured services — and the AI-native exception
Forrester places technology implementation, software development, creative services, localization, and corporate training in the Pressured Services tier. The model identifies these as markets where AI can replicate core value — converting requirements into working artifacts, translating content, generating training material — at lower cost and higher throughput than human labor alone. The expected outcomes are pricing compression and commoditization of headcount-based billing models.
The Pressured label applies specifically to labor-intensive, time-and-materials delivery. It does not apply uniformly to all software development firms. Forrester’s own framework distinguishes between markets where AI substitutes labor and markets where AI enables a better commercial model. A development shop that has restructured delivery around AI-assisted coding, automated test generation, and agentic architecture review is not competing in the commoditized segment. It is competing in a higher-value delivery tier where AI accelerates output quality and speed without inflating headcount.
For enterprise buyers, this distinction is the most actionable signal in the model. Vendor selection criteria for software development should now include measurable evidence of AI-accelerated delivery: cycle time per feature, automated test coverage ratios, time-to-production on comparable scopes. Vendors that cannot demonstrate these metrics are operating in the Pressured tier, regardless of how they describe themselves.
Reshaped markets: transformation, not replacement
The middle tier — Reshaped Not Displaced — covers business applications, governance and compliance tooling, process automation, customer experience systems, and marketing technology. These categories face transformation pressure but are insulated from outright replacement by embedded workflows, high switching costs, regulatory requirements, and growing demand for data orchestration and trust capabilities.
ERP, CRM, and compliance platforms are unlikely to be ripped out and replaced by AI agents. They will instead absorb AI capabilities, shifting value toward the vendors with the strongest data and trust positions. The pattern mirrors what happened when SaaS disrupted on-premises software: the core use case survived, but the delivery model and competitive moat shifted. Enterprises managing large incumbent software vendor relationships should track whether those vendors are investing in agentic workload support and data sovereignty capabilities — the two factors Forrester weights most heavily for this tier.
What it means for US & EU software teams
The infrastructure and security budget case just got stronger. If your organization is debating whether to invest in AI observability, agent identity management, or data governance tooling, Forrester’s model provides external validation for prioritizing those budgets. These are not experimental categories — they are the fastest-growing segment of the technology market in 2026 by both Forrester and Gartner measures.
Vendor selection for software development is a strategic decision, not a procurement exercise. The Pressured Services tier describes commodity development. Choosing a development partner based on lowest day rate is a bet that your vendor operates in the commoditized segment. The RFP process should include AI delivery evidence as a first-order filter: automated test coverage, AI-assisted sprint velocity data, agent-augmented code review adoption. Vendors without these signals are priced for compression.
The EU AI Act and GDPR add a compliance layer to every winner-tier investment. EU-based enterprises building on AI platforms, data management infrastructure, or Zero Trust for agents must map each vendor against EU AI Act risk classifications, GDPR data residency requirements, and the emerging NIS2 obligations around AI-assisted security tooling. Winners-tier vendors that cannot demonstrate compliance documentation create new regulatory exposure as adoption scales.
The bifurcation creates a sourcing window. As commodity development firms face pricing pressure, AI-native development capacity is temporarily under-priced relative to its output quality advantage. Enterprises that lock in AI-native development partnerships now — before the bifurcation is fully priced into the market — are likely to capture a delivery quality and cost advantage that persists for two to three years.
Building with an AI-native development team?
Forrester’s model flags AI-native delivery as the differentiated tier in software development. Our engineers ship faster using AI-assisted coding, automated testing, and agentic architecture review. We measure cycle time per feature and automated test coverage on every engagement — not headcount. See how our GenAI integration services bring these capabilities directly into your product stack.
Talk to an engineerWhat enterprise buyers should do now
| Action | Timeline | Notes |
|---|---|---|
| Map your software vendor portfolio against the four tiers | This week | Identify which vendors operate in Pressured Services; plan for pricing compression or consolidation |
| Add AI delivery evidence to software development RFPs | This sprint | Require automated test coverage ratios, cycle time data, and AI-assisted tooling adoption as mandatory RFP fields |
| Prioritize AI observability and data governance tooling in H2 2026 budgets | This quarter | Both are in Clear Growth Winner categories; ROI compounds as agent deployments scale |
| Audit AI agent identity and permissions across your stack | This quarter | 88% of enterprises reported AI agent security incidents in 2026 (Sophos); Zero Trust for agent identities is the fastest-growing security segment |
| Brief legal and compliance on EU AI Act implications for winner-tier vendors | Next 30 days | Clear Growth Winner vendors may handle high-risk AI applications; EU AI Act risk classification must be confirmed before production deployment |
| Re-evaluate development partner relationships using the bifurcation lens | Next planning cycle | Partners who cannot demonstrate AI-accelerated delivery metrics are operating in the Pressured tier; model pricing accordingly |
Sources: Forrester — Beyond The “SaaSpocalypse”: Introducing The Forrester AI Disruption Model (August 20, 2026); IT Brief — Forrester model flags AI winners and losers in markets (August 20, 2026).
FAQ
What is the Forrester AI Disruption Model?
The Forrester AI Disruption Model is a scoring framework published August 20, 2026, that assesses how AI affects 200+ technology and service markets. It evaluates each market across nine weighted factors — AI substitutability, labor intensity, agentic workload support, commercial models, data and trust advantages, R&D investment, regulatory friction, asset intensity, and switching costs — and places markets into four outcome categories: Clear Growth Winners, Reshaped (Not Displaced), Pressured Services, and Limited Impact.
Which technology markets does Forrester identify as clear winners from AI?
Forrester’s model places infrastructure, data and AI platforms, and identity/access/network security in the Clear Growth Winners category. Specifically: cloud platforms, data centers and storage, AI model providers, AI platforms, data management, governance and observability tools, Zero Trust vendors, and security tooling for AI agents. These markets benefit because they provide the infrastructure layer for AI workloads — demand rises as AI adoption scales.
Why are software development services flagged as pressured in the Forrester model?
Forrester classifies technology implementation, software development, creative services, localization, and training as Pressured Services because AI can replicate their core value at lower cost and higher throughput. The pressure applies specifically to labor-intensive, headcount-based delivery models. Development teams using AI-accelerated workflows, automated testing, and agentic coding pipelines operate in a structurally different — and better-positioned — delivery tier.
Are business applications like ERP and CRM at risk from AI disruption?
Forrester places business applications, governance and compliance tools, process automation, CX platforms, and marketing technology in the Reshaped (Not Displaced) category. Embedded workflows, high switching costs, regulatory requirements, and growing demand for data orchestration and governance protect these markets. Vendors must shift investment toward agentic workload support and data/trust capabilities, but wholesale replacement risk is low.
What should enterprise software buyers do in response to the Forrester AI Disruption Model?
Three priorities: (1) Audit vendor exposure — check whether your key software vendors operate in Pressured or Clear Growth Winner categories and adjust roadmap accordingly. (2) Require AI-native delivery evidence when sourcing software development; commodity headcount billing is a Pressured-tier signal. (3) Invest in Clear Growth Winner categories: data governance, AI observability, and Zero Trust for agent identities compound in value as AI agents proliferate across your stack.
How does the Forrester AI Disruption Model differ from prior market frameworks?
Earlier Forrester work used binary disruption narratives like the SaaSpocalypse. The new model scores 17 technology and service categories spanning 200+ individual markets across nine weighted factors, producing a continuous risk gradient rather than a binary outcome. The nine-factor approach distinguishes between markets that are exposed but protected by regulation or switching costs (Reshaped), markets where AI genuinely substitutes core value (Pressured), and markets that structurally accelerate under AI adoption (Clear Growth Winners).