AI Insights

The integration of artificial intelligence (AI) is revolutionizing how organizations operate, offering unprecedented opportunities to boost efficiency and drive innovation. Yet, alongside this immense potential comes a layer of complexity that requires deliberate strategy. AI is doing more than just enhancing systems; it’s reshaping how organizations allocate resources, advance capabilities, and achieve growth. Its influence touches every corner of an operating model, challenging leaders to not only capture the power of AI but to create meaningful value with it. The path forward is both exciting and intricate, filled with the promise of transformation and the need for thoughtful navigation. Get the latest AI insights and strategic perspectives from Forrester analysts and experts.

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Insights

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Predictions 2027: In Retail, Value Wins

Sucharita Kodali 7 hours ago
With meaningful retail growth harder to come by in 2027, winning market share will require more than aggressive pricing or ambitious AI investments. Discover three predictions for how economic pressure, changing shopping behavior, and agentic AI will reshape retail in the year ahead.
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The Next Generation Of CPQ Won’t Look Much Like CPQ

Vicki Brown 18 hours ago
The CPQ market is shifting fast as AI changes what solutions can do and which providers lead. Three priorities, outlined in The Forrester Wave™: Configure, Price, Quote Solutions, Q4 2026, can help buyers choose for where the market is going, not where it has been.
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Salesforce Shows What Happens When AI Has No Plan B

Joe Cicman 21 hours ago
I enjoy extreme sports because they provide evidence of the human ability to do remarkable things when the alternative is extreme catastrophe. Psychologists call it goal-shielding: commitment to one goal can push competing alternatives into the background. History has given us a more dramatic expression for the same idea: “Burn the boats.” Put less dramatically, […]
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Predictions 2027: AI’s Sovereignty Crisis Drives Governments To Attempt Greater Control

Sam Higgins 1 day ago
AI is exposing how little control governments have over the technology, suppliers, and skills that power public services. In 2027, expect greater intervention as governments confront the limits of digital sovereignty.

Frequently Asked Questions

What are AI insights?​

AI insights are the meaningful patterns and learnings generated by applying artificial intelligence to data. They help organizations uncover trends, predict outcomes, and make more informed decisions by turning large volumes of information into actionable business intelligence.​

Why is an AI strategy critical for businesses today?​

An AI strategy ensures that investments in data, models, and talent support business goals rather than isolated experiments. It helps organizations prioritize use cases, manage risk, and focus resources on initiatives that deliver measurable value and competitive advantage.​

What challenges do organizations face when adopting artificial intelligence?​

Organizations often face challenges with data quality, talent shortages, and integrating AI into existing systems and workflows. Governance, ethics, and trust are also major concerns. Successfully adopting AI requires both technical capabilities and effective organizational change management.​

How do companies measure AI adoption success?​

Companies measure AI success by outcomes and adoption. Common metrics include time to value, ROI, model performance, and how widely AI tools are used across teams. Ongoing measurement ensures that AI initiatives deliver sustained impact, not just technical results.​

How does Forrester help clients with AI insights and strategy?​

Forrester helps leaders turn AI insights into decisions and action. Through research, frameworks, and advisory support, Forrester guides organizations in assessing maturity, selecting technology, aligning teams, and reducing risk to achieve real business outcomes from AI.​

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Predictions 2027: Intelligent Finance Changes The Rules Of Competition

Aurelie L'Hostis 1 day ago
Explore three predictions for 2027 and learn how AI assistants, AI-native operating models, and intelligent finance will reshape financial services.
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Linux Foundation Analyst Summit: “Total Cost Of AI” Is The New Economics Of AI

Kevin Ogunsua 2 days ago
At its October 8 analyst virtual summit, the Linux Foundation’s brought its technology value umbrella — Tokenomics, FinOps, Information Technology Asset Management (ITAM), and FinOps Open Cost and Usage Specification (FOCUS) — together around a bigger question: How do enterprises connect what AI costs to the business value it creates? Seven themes stood out. 1. […]
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The Biggest Surprise From The New Revenue Enablement Platforms Forrester Wave™ Isn’t AI

Peter Ostrow 2 days ago
The Forrester Wave™: Revenue Enablement Platforms, Q4 2026 found that customers are realizing value from their platforms but are still underutilizing many of the capabilities they own. The biggest challenge is not AI innovation but driving adoption, manager engagement, and operational execution across the organization.

Scale Your AI Strategy To Maximize ROI

Unlock the blueprint for AI success. Discover how to align strategy, prioritize impactful use cases, and close the talent gap — everything you need to expedite ROI and achieve tangible success through AI.

Blog

Everything Is A Marketing Operating System

Emily Collins 2 days ago
Why Does Everyone Want To Be An Operating System? The appeal of the operating system concept is straightforward. It meets marketers’ need for technology and service ecosystems that can manage and coordinate workflows across people, processes, tools, and AI agents, rather than simply execute isolated tasks. It also gives providers facing the SaaS-pocalypse a stronger […]
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Predictions 2027: ​​CMOs Reckon With An AI Reality Check

Mike Proulx 2 days ago
AI’s blank check is about to expire. In 2027, CMOs will face a tougher test: proving that AI delivers enough value to justify its growing costs and risks. Discover why the next phase of AI adoption will demand sharper choices, stronger governance, and greater accountability.
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Predictions 2027: The Pursuit And Peril Of Control

Sharyn Leaver 2 days ago
More control won’t always mean better outcomes. Leaders who know where to set guardrails and how to deftly blend AI with human judgment will have a clear advantage in the year ahead.
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Predictions 2027: Disruption Unleashed

Brian Hopkins 2 days ago
The pressure that’s been building around enterprise AI is about to give. See three of Forrester’s 2027 AI predictions and what they mean for spending, governance, and AI platforms.
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Predictions 2027: APAC Leaders Redraw The Boundaries Of AI Control

Frederic Giron 2 days ago
As AI crosses traditional boundaries, APAC leaders face tougher choices about control, accountability, and trust. Explore three 2027 predictions that reveal where those choices will become most urgent.

Who Controls AI In 2027?

As AI transforms B2B go-to-market strategy, technology, security, and customer experience leaders must balance control with adaptation. Forrester’s Predictions 2027 guides, blogs, and webinars reveal what that requires.

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Context Engineering And ContextOps: The Missing Foundation For Scaling Agentic AI

Charlie Dai 3 days ago
Over the past two years, enterprise AI conversations have focused heavily on models, agents, and infrastructure. Organizations have evaluated foundation models, experimented with agent frameworks, invested in AI-native cloud architectures, and raced to deploy copilots and autonomous systems. Yet many of these initiatives have encountered the same obstacle: Agents are only as effective as the […]
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Marketing’s Next AI Challenge: Scale What Works Without Losing Control

Lisa Gately 4 days ago
At this year’s Marketing AI Conference (MAICON), I noticed a shift in how marketing leaders are approaching AI transformation. The conversation is moving beyond AI literacy and individual productivity toward building repeatable workflows, developing AI agents, and making these capabilities part of everyday work. Many of the sessions highlighted marketing’s next challenge: empowering teams to […]
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Open-Weight Models Are Proliferating, But The Platform Race Matters More

Mike Gualtieri 7 days ago
Last week, AI startup Reflection released a new open weight model, Beam, claiming parity with leading Chinese open models and at only “a fraction of the token cost and inference time.” Days later, Mistral introduced open-weight model Mistral Large 4 (ML4), nicknamed Le Chonk in reference to its 1 trillion parameters. Taken together, these models […]
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Portfolio Marketing’s AI Honeymoon Is Over — Now The Real Work Begins

John Buten October 15, 2026
Most portfolio marketers have experienced their first AI victory — and probably their second, maybe even their third. They’re producing content faster. Competitive analysis is much easier. They may have even created a synthetic buyer persona. Nailed it! Mission accomplished! MBO unlocked! But not so fast. We still need to answer the question, “How should […]
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AI Won’t Save RevOps — It Will Redefine It

Laura Cross October 15, 2026
AI is absorbing many of the activities that have traditionally defined revenue operations. That doesn’t make RevOps irrelevant — it makes its current mandate obsolete. Learn why RevOps leaders must shift from operating processes to architecting how people, data, technology, and AI make and execute revenue decisions.

A Third Of Consumers Will Reject Content They Can't Verify

Explore Forrester's 2027 Predictions guide for B2C, CX, and digital leaders to uncover the five shifts putting new pressure on brands to earn trust and regain control.

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So You Think You Have A Marketing AI Agent?

Joe Stanhope October 15, 2026
It’s time to delineate what is and what is not an AI agent for the marketing function. The ferocious pace of AI technology innovation, coupled with runaway AI hype and a relentless flood of vendors offering AI agents — most with de rigueur anthropomorphized names — creates an environment in which the meaning of AI […]
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Why MuleSoft, Not Agentforce, Is Salesforce’s Most Strategic AI Asset

David Mooter October 14, 2026
MuleSoft Agent Fabric is MuleSoft’s recent enhancement to deliver an agentic AI control plane. During the Dreamforce keynote, I noticed something subtle but significant. I didn’t see “MuleSoft Agent Fabric.” Instead, I saw “Agent Fabric,” with the MuleSoft branding dropped and the Salesforce logo replacing the Mule logo in the UI. Forrester sees agentic AI […]
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Dreamforce 2026: Salesforce’s Latest Attempt At IT Service Management

Julie Mohr October 14, 2026
I walked into my first Dreamforce as a skeptic. Salesforce has made several attempts at IT service management, and none of them have provided the technical depth needed by IT teams. After a single briefing on the latest product and then months of silence, I had filed the effort under another short-lived experiment. The pre-announcements […]
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