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On the heels of the Anthropic filing last week, OpenAI also confidentially filed a draft S-1 with the SEC, its first formal step toward an IPO. On the same day, Sam Altman and chief scientist Jakub Pachocki published a manifesto-style essay, Built to benefit everyone: our plan. Last valued at roughly $852 billion, OpenAI hasn’t […]
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Anthropic’s Fable 5 and Mythos 5 is the most 2026 product launch you’ll read this year. The same model can find nation-state zero days, design novel drug candidates, and play FireRed on a Gameboy Advance with nothing but screenshots. And for the gaming fans out there, yes, we got Fable 5 before Fable 4. These […]
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AI innovation is moving at an unprecedented rate, and geopolitical tensions show no signs of easing. Forrester identifies these factors as two primary forces reshaping the threat landscape, placing additional strain on CISOs who are already stretched thin managing increasingly complex security programs. Anthropic’s Claude Mythos Preview and Project Glasswing are early signals of how […]
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CX Summit EMEA explored the real AI opportunity: building trust, strengthening foundations, and reimagining experiences — not just making them more efficient.
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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Generative AI has moved beyond hype to fundamentally reshape how work gets done. See how Forrester is applying AI to its own business — embedding trusted insights into everyday workflows to help clients make faster, better decisions with confidence.
Blog
On June 2, 2026, security researchers published a paper about the creation of an AI worm. The headline is as subtle as a fire alarm: This lab experiment of a worm is no longer just code that blindly crawls across your environment; it leverages AI models and can now reason, execute, and learn in complete […]
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On May 28, we joined the research community at UserTesting’s Crafted event in Seattle. The energy was palpable, with passionate researchers and designers eager to evolve their craft responsibly and effectively in the age of AI. A clear takeaway of the event was that building fast doesn’t matter if you’re not building the right thing. As AI makes creation easier, decisions […]
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So far in 2026, software development has already crossed a clear threshold. GenAI is no longer just helping developers to write code faster; it is reshaping how software is planned, built, tested, and delivered. Forrester’s recent report on The State Of Agentic Software Development, 2026 shows that TuringBots are now becoming agentic, not just AI […]
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Learn how AI is transforming — not replacing — human-centered design, accelerating workflows, and helping teams deliver better customer experiences.
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Join us July 14 to learn how CIOs and tech leaders turn AI into measurable business outcomes. Bring clarity, accountability, and value to your AI strategy.
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Join us in Singapore or Sydney to learn how to turn AI momentum into measurable advantage. Our AI Forums are geared toward technology, security, marketing, and customer experience leaders and teams.
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Agentic AI is exposing a foundational gap in most enterprise data strategies: Data without meaning is unusable for autonomous systems. Agents don’t just retrieve data — they interpret, decide, and act. Without explicit context, they guess. And when agents guess, they get joins wrong, misinterpret metrics, and act on flawed assumptions. This is why ontologies, […]
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At Red Hat Summit 2026, the company outlined its ambition to become the central control layer for hybrid AI environments spanning infrastructure, models, and agents. While the vision is increasingly supported by product direction, enterprises must critically assess how to turn it into practical architectures and measurable outcomes.
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At its Canvas 26 conference, Miro claimed that it’s no longer in the whiteboard business. Instead, it wants to become the collaborative decision-making layer for the agentic enterprise. That’s bold and ambitious repositioning and, potentially, timely. As the cost of intelligence is plummeting, the amount of work organizations can generate is increasing significantly — you […]
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In 2024, Forrester delved into the impact of genAI on smart manufacturing. But now agentic AI is also beginning to play a part in transforming asset-intensive industries. In May 2026, Anthropic announced the creation of a standalone enterprise AI services firm backed by Blackstone, Hellman & Friedman, Goldman Sachs, and other large asset managers — all […]
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AI is compressing consumer discovery, decision-making, and service into fewer, faster, and increasingly invisible moments. Answer engines and AI agents now decide what customers see — or don’t. Long-standing assumptions about how brands (the first “B”), intermediaries (the middle “B”), and customers (the “C”) create value no longer apply. Rather than layer AI onto existing […]
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Success with AI rests on having a workforce that’s equipped and excited to use it. Forrester’s recent experience launching an AI learning program offers some valuable lessons.
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Freshworks’ latest announcements reflect a broader shift in service management AI from feature expansion to operational practicality. The real differentiator is no longer whether a vendor offers generative or agentic capabilities but whether those capabilities can be adopted quickly, grounded in strong context, and sustained within day-to-day service environments.
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Zendesk Relate 2026 showed that agentic customer service depends on structured knowledge, new service engineering roles, and operational readiness for AI execution.
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The Forrester Wave™: Document Mining And Analytics Platforms, Q2 2026 highlights a market that is broad, fragmented, and rapidly evolving — where success depends less on vendor selection alone and more on precise alignment to use cases, document types, and architectural choices. While innovation around agentic AI and LLMs is accelerating, most organizations are still […]
