Agent-Washing

Agent-washing is the practice of slapping the "AI agent" label on products that are actually rule-based bots, simple workflow automation, or generic LLM chat with no tools. The term mirrors "greenwashing" and "AI-washing" before it. Through 2025 and 2026, vendor marketing across CRM, customer support, sales, and developer tools has overwhelmingly relabeled existing chatbot and macro features as "agents," driven by the buyer demand premium attached to the word. Gartner specifically called this out in their 2025 hype-cycle research, predicting that 40 percent of "agentic AI" projects would be canceled by 2027 due to escalating costs, unclear value, or inadequate risk controls.

For buyers, the practical defense against agent-washing is a three-question test. Does the system actually call tools (not just reply with text)? Does it run in a loop and decide what to do next based on observations (not just one-shot)? Does it have access to enough state to handle multi-turn tasks (not just current message)? If the answer to any of these is no, the product is a chatbot or workflow automation, regardless of the marketing label. This matters because the buying expectations attached to "agent" (autonomy, error recovery, cost variability) do not match the technology if the product is actually a rule-based bot.

Apply the three-question test to any vendor pitching their "AI agent." Use the term agent-washing in internal write-ups when the vendor fails the test, so the team has shared language for what is happening.

• Gartner: AI hype cycle research
• Gartner predicts 40% of agentic AI projects cancelled by 2027

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