A recent report by the Institute for the Future of Work indicates that by 2027, over 30% of all online commercial transactions will involve some form of agentic AI, executing purchases autonomously on behalf of human users or other AI entities. This seismic shift in digital commerce forces a fundamental re-evaluation of established legal principles surrounding contracts and ownership. When an AI initiates and completes a purchase, often without direct human oversight at the point of sale, the question of AI law and who in the end owns the purchase becomes not just academic, but a pressing legal and commercial concern.
Key Takeaways
- By 2027, over 30% of online transactions will involve agentic AI, necessitating clear legal frameworks for ownership.
- Current contract law, rooted in human intent, struggles with AI-driven purchases, especially regarding offer and acceptance.
- Establishing clear terms of service for AI agents and designating the human principal as the ultimate owner and responsible party is a necessary first step.
- Legislation like the AI Act in the European Union provides a foundational, though still evolving, framework for AI accountability.
- Businesses must proactively update their terms and conditions to explicitly address AI-initiated transactions and potential disputes.
The 30% Threshold: Redefining “Intent to Contract”
The projection that nearly a third of all online purchases will be agentic by next year fundamentally challenges the bedrock of contract law: intent to contract. Traditionally, a contract requires a meeting of the minds, a mutual understanding and agreement between two parties. When a sophisticated AI agent, perhaps programmed to optimize price or delivery time, autonomously identifies a product, negotiates a price, and completes a transaction, whose “mind” is meeting the other? Is it the human programmer’s intent, the user’s intent when setting the initial parameters, or the AI’s emergent “intent” as it executes its mission? This isn’t a theoretical exercise. It has immediate implications for dispute resolution. If an AI purchases 10,000 units of a product due to a programming error or an unexpected market fluctuation, who is liable for that purchase? The legal system, designed for human actors, now grapples with a new form of agency where the agent itself possesses a degree of operational autonomy.
The Ambiguity of “Offer and Acceptance” in Agentic Contracts
Consider the core elements of a contract: offer, acceptance, and consideration. In the context of agentic AI, these elements blur. An AI agent might constantly scan for specific conditions, effectively making continuous “offers” to itself based on predefined criteria. When those criteria are met, it “accepts” the offer by initiating the purchase. A study published by the American Bar Association Business Law Section in late 2023 highlighted the growing concern among legal professionals regarding the lack of explicit legal frameworks for AI-generated contracts. The report noted that while existing agency law provides some parallels, the unique characteristics of AI, particularly its capacity for learning and adaptation, present novel challenges. We’re not talking about a simple script. We’re talking about systems that can refine their purchasing strategies over time, making decisions that weren’t explicitly coded but emerged from their training data and operational feedback. This makes it difficult to pinpoint the exact moment of human “acceptance” or even “offer” in many AI-driven transactions, pushing the boundaries of traditional contractual analysis.
The EU AI Act and the Quest for Accountability
The European Union’s AI Act, expected to be fully implemented by 2027, represents one of the most complete attempts to regulate AI systems globally. While it doesn’t directly address “who owns the purchase,” its focus on AI accountability, risk assessment, and transparency requirements has significant implications for agentic contracts. The Act categorizes AI systems based on their risk level, imposing stricter obligations on high-risk AI. An AI agent making significant commercial purchases could easily fall into a category requiring rigorous human oversight, data governance, and complete documentation of its decision-making processes. This legislative push signals a global trend towards holding developers and deployers of AI systems responsible for their outputs. My professional interpretation is that while the Act primarily addresses the deployment of AI, its principles will inevitably trickle down to shape how courts view the contractual validity and ownership implications of AI-initiated transactions. Businesses operating AI agents will need to demonstrate not just the technical efficacy of their systems, but also their adherence to strong ethical and legal guidelines, particularly concerning transparency in their autonomous actions.
“Smart Contracts” and the Blockchain Integration: A Double-Edged Sword
The rise of smart contracts on blockchain platforms further complicates the ownership question. These self-executing contracts, often triggered by predefined conditions, can be smoothly integrated with agentic AI. An AI might not just make a purchase, but also execute a smart contract that transfers ownership, releases payment, or triggers subsequent actions, all without human intervention after initial setup. While this offers unprecedented efficiency, it also introduces a new layer of legal complexity. A 2025 analysis by JD Supra on the convergence of AI and blockchain highlighted that while smart contracts can enforce agreements with immutable certainty, they also crystallize the autonomous nature of AI actions. If an AI, through a smart contract, makes an erroneous purchase or an unfavorable agreement, reversing that action becomes incredibly difficult due to the immutability of the blockchain. This scenario shows the critical need for strong legal frameworks that clearly define the human principal’s ability to intervene, override, or seek redress for AI-executed smart contracts. Who owns the purchase becomes inextricably linked to who controls the code and who bears the ultimate financial risk.
Reconciling Autonomy with Accountability: My Take
Many legal scholars argue that agentic AI should simply be treated as an extension of the human principal, similar to a human agent or employee. I believe this perspective, while offering a convenient legal shortcut, fails to fully grasp the unique challenges posed by truly autonomous AI. We’re not just talking about tools. We’re talking about systems that can learn, adapt, and make decisions that were not explicitly programmed. Attributing all actions to the human principal, without acknowledging the AI’s operational independence, risks stifling innovation or, conversely, creating a legal vacuum where accountability is difficult to enforce. Instead, we need a nuanced approach that acknowledges the AI’s capacity for autonomous action while firmly anchoring ultimate responsibility with a human or corporate entity. This means clear legal duties for AI developers to build in safeguards, for deployers to monitor and audit AI behavior, and for users to understand the scope and limitations of their AI agents. The conventional wisdom of simply extending existing agency law is insufficient. We need new legal constructs that specifically address the semi-autonomous nature of advanced AI, focusing on the framework of its operation rather than simply its output.
The proliferation of agentic AI in commercial transactions demands a proactive overhaul of existing legal frameworks. Businesses must update their terms of service to explicitly address AI-initiated purchases, clearly defining the scope of an AI agent’s authority and the process for dispute resolution. Establishing clear protocols for AI interaction and ensuring human oversight at critical junctures will be paramount to working through this evolving legal field.
What is agentic AI in the context of purchasing?
Agentic AI refers to artificial intelligence systems designed to perform tasks or make decisions autonomously on behalf of a user or another entity, often without direct human intervention. In purchasing, this means an AI can identify products, negotiate prices, and complete transactions independently based on predefined goals or learned behaviors.
How does agentic AI challenge traditional contract law?
Traditional contract law relies on “intent to contract” and mutual “offer and acceptance” between human parties. Agentic AI challenges this by introducing a non-human entity that can generate offers and acceptances, making it difficult to ascertain clear human intent at every stage of the transaction and raising questions about liability for autonomous AI actions.
Who is liable if an AI makes an unauthorized or erroneous purchase?
Liability for AI-initiated purchases is a developing area of law. Generally, the human or corporate entity that deployed or is responsible for the AI agent will likely bear ultimate liability, similar to a principal being responsible for an agent’s actions. However, the specific terms of service, AI programming, and legislative frameworks like the EU AI Act will play a significant role in determining precise accountability.
What role do smart contracts play with agentic AI?
Smart contracts are self-executing agreements stored on a blockchain, automatically triggering actions when predefined conditions are met. Agentic AI can interact with and initiate these contracts, automating not just the purchase but also subsequent actions like payment or ownership transfer. This increases efficiency but also makes it challenging to reverse erroneous transactions due to blockchain’s immutability.
What steps should businesses take to prepare for agentic AI in commerce?
Businesses should proactively update their terms and conditions to explicitly address AI-initiated transactions, clearly defining the scope of AI agent authority and liability. They should also implement strong monitoring and auditing mechanisms for AI systems, ensure transparency in AI decision-making, and stay informed about evolving AI regulations like the EU AI Act.
