40%
of enterprise applications were projected to include task-specific agents by the end of 2026, up from under 5% in 2025.
GartnerFree AI agents white paper
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Inside the guide
From the research
Here are a few findings discussed in the guide. Follow the source links for the full studies and their context.
40%
of enterprise applications were projected to include task-specific agents by the end of 2026, up from under 5% in 2025.
GartnerSingle digits
describe agent deployment across nearly all business functions in the 2025 survey data reported by Stanford.
Stanford AI Index — Economy~1 in 3
OSWorld computer-use tasks failed for the leading agents assessed in Stanford's 2026 report.
Stanford 2026 AI IndexCommon questions
An agent uses an AI model to choose steps toward a goal, use permitted tools, check the results, and decide what to do next. A chatbot or a fixed process that makes one AI call doesn’t necessarily do that.
Consider an agent when the task has a clear goal but varies too much for a fixed set of rules. You also need to be able to limit its tools and permissions, check the results, and review or undo its early actions.
Very little. Start by having it observe work or prepare drafts for review. Let it take selected actions only after testing shows it can respect access limits, produce reliable results, handle errors, and stay within your rules and budget.
Tell us about the task or system you’re working on. We can help you assess the options, plan a trial, or get the project started.