By 2029, agentic AI could handle 80% of customer service tasks, cutting costs by 30%

A widely cited analyst forecast from Gartner underpins Fetch.ai’s claim that “agentic AI” systems could take over most routine customer service within the next few years, dramatically lowering costs for enterprises. The projection is that by 2029, autonomous AI agents will be able to resolve roughly 80% of common customer service requests without human intervention, enabling significant operating‑expense reductions for support operations. Separate industry commentary based on the same research frames this as a shift from static chatbots that only respond with information to agentic AI that can also take actions on behalf of users – such as updating accounts, processing refunds or rebooking services – across connected backend systems. In this model, “agentic” systems combine large language models with orchestration and integration layers so they can interpret intent, decide on the necessary steps, and execute workflows end‑to‑end, instead of handing customers off to forms or human agents. Gartner’s longer‑term view, echoed by multiple vendors citing its research, is that this autonomy will allow AI to handle the bulk of high‑volume, low‑complexity tickets, which in turn could reduce contact‑center and customer‑support costs by around a third, while human staff focus on complex or high‑value interactions. For a project like Fetch.ai, which builds autonomous economic agents, these forecasts serve as market validation that agent‑based AI architectures may have significant commercial demand in customer service and related enterprise workflows.

✨ AI-generated background, compiled from web sources — not editorial content.

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