As businesses get used to using generative AI tools, attention is quickly turning to agentic AI. These systems are designed to plan tasks, interpret information and take action within defined guardrails. In theory, this moves AI from a tool that assists employees to one that helps run parts of the business. Investment is rising fast, with McKinsey predicting that the agentic AI market will rise from roughly $5-7 billion in 2024 to over $199 billion by 2034. But many businesses are finding it harder than expected to turn early pilots into something reliable and useful at scale. Gartner predicts that more than 40% of agentic AI projects will be cancelled by the end of 2027. Meanwhile, Qlik found that 97% of organizations have committed budget to agentic AI, but only 18% are fully deploying it.

Full report : Why most agentic AI projects fail, and how to avoid being one of them.