AI Agents Are About to Change How You Shop

4 hours ago7 min read2 comments

The inexorable march toward agentic artificial intelligence represents a fundamental architectural shift in how computational systems interact with the world, moving beyond passive response to proactive task execution. A recent PwC survey quantifying that 88% of U.S. companies are escalating their agentic AI budgets isn't merely a statistic; it's a leading indicator of a paradigm change as significant as the transition from mainframes to personal computers.In the commercial sphere specifically, Boston Consulting Group data suggesting over half of consumers will engage with AI agents for shopping by year's end reveals a marketplace on the cusp of transformation, though significant friction remains in public understanding of implementation protocols and trust verification. Fetch.ai, a U. K.-based AI firm founded in 2017, is attempting to solve this adoption bottleneck through a tripartite product launch designed to create what founder Humayun Sheikh accurately describes as the foundational layer for agentic commerce. Their new offerings—the ASI:One LLM interface for human-agent interaction, the Fetch Business portal for brand verification, and the Agentverse directory hosting over two million agents—collectively form an ecosystem aiming to standardize and legitimize AI-driven transactions.The most compelling innovation for mainstream users is undoubtedly ASI:One, which functions as an orchestration layer where a single command like 'book a vacation' automatically engages specialized brand agents for flights, hotels, and activities, effectively creating a semantic bridge between human intent and machine execution. This represents a significant evolution beyond current large language models like ChatGPT, which primarily retrieve and synthesize information rather than executing multi-step, cross-platform transactions.Sheikh's analogy positioning Fetch as the 'Google for agents' is technically astute; just as Google's PageRank algorithm brought order and discoverability to the chaotic early web, Fetch's verification system and agent directory provide the necessary trust infrastructure for widespread adoption. With over 1,000 verified brand agents already onboard including Costco, Alaska Airlines, Pepsi, and Adidas, the platform enables direct, semantically rich interactions between consumers and brand representations that possess real-time inventory and pricing data.The underlying technological significance lies in how this system combines the reasoning capabilities of large language models with specialized agent functions capable of API-level interactions with commercial systems, creating what researchers call 'tool-use' or 'function-calling' at scale. This architectural approach addresses the 'last mile' problem in AI commerce—the gap between conversational understanding and actual transaction completion.As these systems mature, we're likely witnessing the embryonic stage of what cognitive scientist Daniel Dennett might describe as 'intentional stance' economics, where humans routinely delegate complex purchasing decisions to artificial agents with specialized capabilities. The success of this paradigm hinges critically on the trust mechanisms Fetch is building; without robust verification, agentic commerce could devolve into a landscape of malicious actors and unreliable interactions. If Fetch and similar platforms succeed in establishing these standards, the future of commerce may less resemble browsing websites and more closely approximate delegating to a hyper-competent personal assistant that understands contextual preferences, negotiates with verified entities, and executes complex multi-vendor transactions autonomously—fundamentally reconfiguring the relationship between intention and acquisition in the digital economy.

#AI agents

#e-commerce

#Fetch.ai

#ASI:One

#retail technology

#lead focus news

#consumer shopping

#brand agents

#AI assistants

Stay Informed. Act Smarter.

Get weekly highlights, major headlines, and expert insights — then put your knowledge to work in our live prediction markets.