Amazon blocks Meta smart device, and the cost of refusing to pay is likely to reach 6.2 billion

According to Woofun AI, the Amazon (AMZN.US) Bedrock AgentCore Payments platform, jointly developed by Coinbase (COIN.US) and Stripe, has given AI agents the ability to complete identity authentication and payment through stablecoins and x402 protocols within pre-set limits.

Although these shopping intelligence agencies with wallet functions have placed orders independently on the open internet, and merchants have yet to face large-scale legal lawsuits, the issue of liability for refunds after successful payment is rapidly evolving into a core conflict in the industry. Edgar Nemse, CEO of the GenLayer Foundation, pointed out to CryptoSlate that while the payment process is deterministic, the subjectivity of service delivery makes dispute handling extremely complicated, which directly limits the ability of agents to buy. All current dispute handling systems are based on the implicit assumption that “complicated complaints lead to user abandonment,” and AI is removing this barrier, leading to a surge in complaints, and traditional manual handling teams are close to the limit.

As AI removes the threshold for complaints, global chargeback costs are at risk of growing exponentially. The Reserve Bank of Australia recorded this trend in a payment systems advisory summary published on October 6, and cited the opinions of 75 stakeholders. The data shows that the number of complaints filed with the US Consumer Financial Protection Administration doubled to 6.6 million in 2025, and the agency warned that the Big Language Model (LLM) and autonomous software would lead to an influx of repeated complaints. According to a study in the journal Nature - Human Behavior, the use of LLM can increase the probability of obtaining a favorable ruling by 6.9 percentage points.

According to data compiled by Woofun AI, Mastercard (MA.US) and Datos predict that there will be 324 million global chargebacks by 2028. Based on the 2026 benchmark cost of $128 per transaction for US merchants, a 5% increase in global costs would result in an additional 16.2 million chargebacks and $2.1 billion in operating costs; a 15% increase would amount to an additional 48.6 million chargebacks, at a cost of $6.2 billion. Merchants, payment service providers and card issuers all said that the current rules cannot clarify the responsibility of the smart body when it exceeds its authority, and that AI-assisted purchases require an additional 4% fee. All parties prefer to establish industry standards before the Reserve Bank of Australia announces regulatory priorities by the end of 2026.

The battle for control of the interface between platforms is exacerbating the plight of merchants, and Amazon (AMZN.US) has blocked Meta (META.US)'s Muse shopping intelligence on the grounds of unauthorized access. According to Nemse analysis, this move is not a technical limitation, but rather that Amazon (AMZN.US) retains control over customer relationships, data, and advertising resources worth billions of dollars and prevents the interface from becoming a generic API. Google (GOOGL.US) is also facing this dilemma and is expected to block external agents to promote its own products. In contrast, smaller merchants are more likely to look for partners that solve problems, and Shopify has allowed browser-based AI agents to enter the checkout process.

However, the platform controls the interface and ruling power, causing small merchants to still need help from Amazon (AMZN.US) even after discovering problems. According to a CI&T survey of 1,011 American consumers, 27% are willing to accept an entirely AI-led shopping experience, but the limit of the intelligent-driven model lies in the extent to which consumers can accept unremedied losses. Since the API call only costs a few cents, agents are charged for the call, but no one allows it to make unauthorized decisions about refunds or insurance claims when there is no clear line of accountability. Although solutions such as Google (GOOGL.US) AP2, MasterCard (MA.US) Agent Pay, and Visa (V.US) Intelligent Commerce focus on authorization management, including signed instructions, tokenized certificates, and identity verification, they can only prove the buyer's requirements and cannot determine the delivery results.

In response to these pain points, GenLayer proposed an arbitration mechanism based on on-chain consensus, which aims to resolve subjective disputes through technical means. The solution has a verifier running a large language model, determine the final results through a consensus mechanism and execute them on-chain, while allowing relevant parties to appeal. GenLayer said common disputes can be resolved within 30 minutes, while complex cases can be concluded within 3 hours. Since AI agents can initiate disputes at zero cost, the system must introduce fees, security deposits, or reputational punishment mechanisms to make unfounded disputes uneconomical. The verifier will make judgments based on evidence such as receipts, logistics tracking, and task requirements. Although the appeal mechanism increases time and costs, it can avoid poor model output. On-chain rulings will be used to manage escrow funds, but credit card refunds from regular merchants are not covered.

The core of this mechanism is to establish a reliable and neutral dispute resolution system to make up for the lack of platform adjudication power and ensure that after an intelligent entity finds a small merchant, the merchant no longer needs to rely on the protection of a large platform, so as to achieve fair trade at the technical level.

The establishment of industry standards will determine the ultimate direction of AI business models. If merchants and platforms can agree on standards, establish verifiable authorization instructions, perfect evidence recording systems, and escrow mechanisms that can intervene before disputes escalate into chargebacks, AI agents will expand from simple API calls to various service interactions with unfamiliar counterparties. This will enable small merchants to obtain the same accountability rights as large platforms and break the platform monopoly. Conversely, if the cost of filing a dispute is low and the cost of resolution is high, merchants will be forced to raise fees, restrict smart purchases, or force buyers to return to trusted traditional platforms. Nemse stressed that a better payment system cannot change this limitation; the key lies in clear channels of accountability and those responsible. As regulatory priorities approach at the end of 2026, all parties need to find a balance between interface control and an open ecosystem. Otherwise, the business model driven by AI agents will stagnate due to lack of trust, and huge chargeback costs will become the sword of Damocles hanging over the top of the industry.