Autonomous AI Agents Turn Everyday Devices Into Silent Workers

Autonomous AI agents are quietly slipping into phones, laptops and payment networks, turning everyday devices into always‑on workers that can book travel, manage bills or run parts of a business without a human in the loop. What began as chatbots answering questions is quickly becoming a substrate of software entities that act, transact and coordinate on our behalf.

That shift promises major productivity gains but also creates a new attack surface in homes, offices and financial infrastructure.

From chat windows to system‑level workers

OpenAI, Anthropic, Google and others are racing to make their models “agentic” — able to take multi‑step actions across tools and data sources instead of just replying in text. OpenAI’s ChatGPT agent, introduced in 2025, can connect to services like Gmail, Google Drive and GitHub to retrieve information and execute tasks such as preparing for meetings or analyzing datasets once a user grants access, moving the assistant closer to a general‑purpose digital worker, according to coverage summarized on Tom’s Guide and Wikipedia.

These capabilities are no longer confined to the browser. Microsoft has been weaving AI deeply into Windows 11, with features like Recall that continuously capture on‑device activity to help users resume or investigate past tasks, part of a broader “Copilot+ PC” push that treats the operating system as an agent host rather than a static desktop, as documented by Microsoft and independent reporting. On the payments side, Visa has begun piloting a program that lets AI agents initiate real purchases by connecting leading systems from OpenAI, Anthropic, Microsoft, Perplexity and Mistral directly to its global network, a move its chief product and strategy officer described as potentially “transformational” in an interview with AP News.

Payment rails built for machines, not humans

Financial platforms are now explicitly targeting these autonomous software customers. Stripe has launched an “Agentic Commerce Suite” and a Stripe Agent Toolkit that turn its APIs into building blocks AI agents can use to list products, manage subscriptions and accept payments on behalf of merchants across multiple chat interfaces, the company explained in a recent blog post and documentation on Stripe’s site and its broader developer resources on agentic commerce. Stripe’s latest annual letter also frames “machine customers” and agent‑to‑agent transactions as an emerging channel for the company’s payment volume, underscoring how seriously large processors are taking the shift, as outlined in the firm’s 2025 shareholder communication on Stripe’s investor site.

Startups are building on top of these rails to let agents initiate and receive payments, sometimes even exploring crypto‑native protocols for faster, programmable settlement, as discussed in community experiments documented on Reddit’s AI agents forums. The result is an ecosystem in which an AI on your phone could negotiate with another AI representing a merchant, confirm terms and send funds without you touching a checkout form.

New security, liability and regulatory fronts

Security researchers warn that the same autonomy that makes these agents useful also makes them dangerous. A 2026 preprint from academic researchers on “Agentic AI as a Cybersecurity Attack Surface” argues that multi‑agent systems introduce novel risks such as “data supply chain” attacks, where malicious content poisons an agent’s memory, and “tool supply chain” attacks, where compromised tools hijack an agent’s behavior, potentially leading to self‑propagating “viral agent loops” that spread without exploiting traditional code vulnerabilities, according to the paper on arXiv. Other work proposes “Sentinel agents” and registry‑based defenses to monitor and constrain agents’ tool use in real time, outlining a zero‑trust approach to multi‑agent security on arXiv.

For regulators and insurers, the questions are only starting. If an autonomous agent embedded in a smartphone or point‑of‑sale system misdirects funds, leaks data or organizes a coordinated attack, it is not yet clear whether accountability will land with the user, the device maker, the model provider or the payment rail. Meanwhile, payment networks like Visa and platforms like Stripe are effectively deputizing these agents as first‑class economic actors, even as the legal system has barely begun to grapple with the idea of non‑human customers.

In practice, that means a growing share of economic and operational activity will be delegated to invisible software workers scattered across everyday devices — powerful, scalable and, without robust safeguards, potentially brittle. The race now is less about making agents more capable than about building the identity, security and oversight layers needed before those silent workers become indispensable infrastructure.