Forrester AI Research 2026: The ROI Reckoning Arrives

Executive Summary

• Forrester’s State of AI Survey (n=1,400+ global AI decision-makers, 2025) finds only 13-15% of organizations report positive EBITDA impact from AI — the starkest ROI reality check from any major analyst firm this cycle.
• 48% of firms have already cut headcount due to AI, yet change management and employee readiness rank among the least-prioritized areas for 2026 — a combination Forrester flags as self-defeating.
• Forrester predicts enterprises will defer 25% of planned AI spend into 2027 as CFOs demand P&L-linked justification, not pilot-stage enthusiasm.
• 68% of organizations now run generative AI in production, but only one-third can connect that usage to measurable financial outcomes — the gap between deployment and value extraction is the defining problem of 2026.
• Global tech spending hits $5.6 trillion in 2026 (7.8% growth), with AI-driven computer equipment surging 16.8% — the infrastructure buildout continues even as ROI scrutiny intensifies.

The ROI Gap: Deployed but Not Delivering

Forrester’s headline finding lands harder than any competing analyst firm’s 2026 data: only 13-15% of AI decision-makers report that AI has lifted EBITDA in the past 12 months. Fewer than one-third can tie AI spending to any P&L change at all. Most organizations achieve less than 50% ROI on their AI investments.

This is not a failure of technology. It is a failure of deployment architecture. Forrester’s data aligns with the pattern visible across every major institutional study — BCG’s finding that only 5% of organizations capture substantial financial gains, McKinsey’s 6% “high performer” share, and Gartner’s 72% of CIOs breaking even or losing money on AI. The convergence across independent survey methodologies is striking: roughly 85-95% of organizations deploying AI cannot demonstrate financial returns.

The timeline expectations compound the problem. Nearly 50% of organizations expect AI payback within one year, while only 14% commit to three-year horizons. Forrester’s own prediction framework suggests this impatience is about to trigger a spending correction — enterprises will defer 25% of planned AI spend into 2027 as CFOs tighten approval criteria.

The Headcount Paradox

The most uncomfortable finding: 48% of firms have already cut headcount due to AI. At the same time, 43% of employees worry about losing their jobs to automation in the next five years, and 25% believe AI will directly affect their own role.

This creates a vicious cycle. Organizations cut staff based on projected AI productivity gains that have not materialized (only 13-15% report EBITDA lift). Remaining employees, now anxious about their own positions, resist adopting the tools that would actually generate those gains. Forrester’s JP Gownder identifies the core problem: “Low employee readiness is the main thing holding back business success with workforce AI programs.”

The training data confirms the underinvestment. Only 51% of firms offer any internal AI training to non-technical employees (barely up from 47% in 2024). Just 23% provide prompt engineering training. Yet 30% of large enterprises will mandate AI training in 2026 — a recognition, late but real, that deployment without enablement is waste.

The Spending Picture: Infrastructure Up, Applications Under Scrutiny

Forrester’s Global Tech Forecast projects $5.6 trillion in global tech spending for 2026 — 7.8% growth from $5.2 trillion in 2025. The AI-specific numbers tell a story of diverging bets:

The paradox: infrastructure spending accelerates while application-level ROI remains unproven for the majority. Cloud and AI grow at twice the rate of the overall software market. AI-specialized hardware is projected to capture over 80% of computer equipment spending by 2030 (up from 43% in 2024). The buildout is real. The value capture is not — yet.

Key Data Points

The Agentic Shift and Enterprise Software

Forrester’s enterprise software predictions frame 2026 as the year digital workers become a managed category, not just a feature:

• The top five HCM platforms will offer digital employee management capabilities — treating AI agents as entities that need onboarding, governance, and performance management alongside human staff.
• 30% of enterprise app vendors will launch Model Context Protocol (MCP) servers, enabling external AI agents to interact with enterprise applications through a standardized interface.
• Half of ERP vendors will launch autonomous governance modules combining explainable AI, automated audit trails, and real-time compliance monitoring.

The customer service vertical offers the clearest near-term view. Forrester’s Wave evaluation (Q1 2026) positions Salesforce, Microsoft, Pegasystems, and ServiceNow as leaders. The prediction: one in four brands will see a 10% increase in successful self-service interactions by year-end, while daily agent workloads drop by roughly one hour. The counterpoint: at least three major brands will face call volume spikes of 100x normal levels as consumer-deployed AI agents (automated sweepstakes entries, ticket purchases) overwhelm contact centers.

What This Means for Your Organization

Forrester’s data points to a specific action sequence for mid-market companies in 2026.

First, the CFO conversation has changed. If the organization cannot connect AI spending to P&L outcomes, expect scrutiny to intensify. Forrester’s prediction that 25% of planned AI spend gets deferred is not about companies abandoning AI — it is about companies demanding that AI investments clear the same financial bar as every other capital allocation. The organizations that survive this filter are the ones that instrumented their deployments for measurement from day one.

Second, the headcount-before-enablement pattern is demonstrably failing. Cutting staff on the assumption that AI will compensate, without investing in training and change management for remaining employees, produces anxiety that suppresses adoption. Only 51% of firms offer AI training at all. The 48% that cut headcount and the 51% that offer training are likely not the same 48% and 51% — and that mismatch is where value evaporates.

Third, the governance gap carries a price tag. Forrester estimates ungoverned generative AI will cost B2B companies more than $10 billion. Nearly 75% of organizations have documented AI policies, but most cover only basics like data use or copyright. Few mandate responsible AI training. Policy without practice is theater.

If any of this maps to decisions on the table in your organization, I am happy to work through the specifics — brandon@brandonsneider.com.

Sources

1. Forrester, “Predictions 2026: AI Moves From Hype to Hard Hat Work,” October 8, 2025. https://www.forrester.com/blogs/predictions-2026-ai-moves-from-hype-to-hard-hat-work/ — Credibility: HIGH (independent analyst firm, named analysts, survey-backed)

2. Forrester, “Three Questions That Will Define AI in 2026,” 2025. https://www.forrester.com/blogs/three-questions-that-will-define-ai-in-2026/ — Credibility: HIGH (State of AI Survey, n=1,400+ global AI decision-makers)

3. Forrester, “2026 Technology & Security Predictions,” October 28, 2025. https://www.forrester.com/press-newsroom/forrester-tech-security-2026-predictions/ — Credibility: HIGH (institutional predictions with named CRO attribution)

4. Forrester, “Predictions 2026: AI Agents, Changing Business Models, And Workplace Culture Impact Enterprise Software,” 2025. https://www.forrester.com/blogs/predictions-2026-ai-agents-changing-business-models-and-workplace-culture-impact-enterprise-software/ — Credibility: MEDIUM-HIGH (predictions, not survey data)

5. Forrester, “Predictions 2026: AI Gets Real For Customer Service,” 2025. https://www.forrester.com/blogs/2026-the-year-ai-gets-real-for-customer-service-but-its-not-glamorous-work/ — Credibility: MEDIUM-HIGH (predictions with partial survey backing)

6. The Register, “Staff too scared of the AI axe to pick it up, Forrester find,” March 26, 2026. https://www.theregister.com/2026/03/26/workplace_ai_forrester/ — Credibility: HIGH (direct Forrester survey data with analyst attribution)

7. Forrester, “Global Technology Spend Will Grow By 7.8% In 2026 To Reach $5.6 Trillion,” February 2, 2026. Via BusinessWire/Yahoo Finance. — Credibility: HIGH (Forrester’s flagship spending forecast)

8. Forrester Wave: Customer Service Solutions, Q1 2026. Via CXToday coverage. — Credibility: HIGH (Forrester’s standard evaluation methodology)

Brandon Sneider | brandon@brandonsneider.com April 2026