Fetch.ai says its AI agents will overcome online retail barriers faced by today’s tools. The AI developer claims the system, set to launch in January 2026, allows agents to complete payments with credit cards, stablecoins, and FET tokens. Fetch.ai says they’ve been working on the new feature for at least five years as society is moving from a web-based economy to an AI-first economy.

Fetch.ai, an AI and Web3 infrastructure project focused on autonomous “agentic” systems, is developing a retail-focused upgrade that would let its AI agents not only search and negotiate online but also execute payments directly using credit cards, stablecoins, and FET tokens, according to comments reported by Decrypt. Fetch.ai frames this as part of a broader shift from a web-based to an “AI‑first” economy in which software agents handle far more of the consumer journey—from discovery through checkout—on behalf of users. In this model, Fetch.ai’s agents are designed to operate across multiple platforms, interact with merchant systems, and complete purchases autonomously once given high‑level instructions or preferences by the user. The company says it has been working on enabling end‑to‑end transactional capabilities for at least five years, targeting a January 2026 launch for the retail-payment feature described in the Decrypt report. This aligns with a wider trend in e‑commerce toward “agentic commerce,” where autonomous AI agents compress the traditional shopping funnel by handling product discovery, comparison, and checkout as a single workflow. If delivered as described, the feature would matter for both crypto and mainstream payments because it attempts to make AI retail agents natively multi-rail: they would be able to route payments through conventional card networks as well as on‑chain rails using stablecoins or Fetch.ai’s own FET token. For Web3, it illustrates a concrete use case where blockchain settlement is embedded behind familiar shopping experiences; for AI, it highlights the push toward letting agents act as full economic participants rather than just recommendation tools, raising parallel questions around security, user consent, and compliance that regulators and payment providers will need to address.

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

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