Two out of every three American shoppers now consult artificial intelligence tools before committing to a purchase — a finding that encapsulates just how profoundly consumer behaviour is being reshaped by the rapid mainstreaming of AI. The data, published by Zip Co Limited (ASX: ZIP), a digital financial services company serving everyday Americans, confirms what many in the payments and retail finance industries have long suspected: AI has moved decisively from novelty to necessity in the modern shopping journey.
The research, released by Zip in July 2026, found that approximately 67% of US consumers now turn to AI-powered tools when researching products and comparing options ahead of a purchase decision. That figure is not a marginal shift — it represents a majority of the American shopping public actively delegating at least part of the decision-making process to machine intelligence. For fintech operators, payments providers, and retailers alike, the implications are structural rather than superficial.
From Search Bar to AI Prompt: The New Discovery Engine
For years, the product discovery funnel was defined by search engines, review platforms, and social media algorithms. Consumers would type queries into Google, scan star ratings on Amazon, or rely on influencer content to inform their choices. What Zip's research signals is that a meaningful majority of Americans have now added — or in some cases substituted — a conversational AI layer atop that existing stack. Shoppers are prompting large language models and AI assistants to synthesise product information, surface comparisons, and deliver purchase recommendations in a way that traditional search engines never could.
This shift carries particular significance for the buy now, pay later and embedded finance sectors. When a consumer uses an AI assistant to research a high-ticket item, the financing options attached to that item become part of the AI-curated consideration set. Providers that lack visibility in AI-generated outputs risk being bypassed entirely at the exact moment purchase intent is highest. The consumer's attention is now being competed for not just on product pages, but within the AI interface itself — long before the checkout screen appears.
Control and Transparency as the Driving Forces
Perhaps more revealing than the headline adoption figure is the underlying motivation Zip's research identifies. Consumers are not gravitating toward AI tools merely for convenience or speed — they are doing so in pursuit of greater control and transparency over their purchasing decisions. This framing matters enormously for anyone operating in consumer financial services.
The desire for transparency has long been a fault line in the relationship between financial product providers and their customers. Unclear fee structures, opaque interest calculations, and complex terms have historically eroded trust. If consumers are now actively using AI to decode product complexity and hold providers accountable to plain-language explanations, the industry faces a new accountability standard. AI, in this reading, is functioning as a consumer advocacy tool — one that rewards clarity and penalises obfuscation.
For Zip, which has built its market positioning around people-centred financial products designed for everyday Americans, the research findings resonate closely with the company's own product philosophy. A customer base that prizes transparency and control is one that gravitates toward financial services with intuitive interfaces, honest cost disclosures, and responsible lending frameworks. The research, in effect, validates the strategic direction that Zip and a cohort of next-generation payments providers have pursued in differentiating themselves from legacy credit products.
What This Means for Payments and Retail Finance
The embedding of AI into the shopping journey is not a passing behavioural trend — it is a durable reorientation of how purchase decisions are formed and executed. For banks, card networks, and fintech companies, several strategic imperatives emerge from Zip's findings.
First, product discoverability in AI-generated environments will become a competitive battleground. Financial services firms that invest in structuring their product data, terms, and value propositions for AI legibility will be better positioned to appear in the recommendation outputs that are now influencing two-thirds of American purchase decisions. Search engine optimisation as a discipline is already giving way to what practitioners are beginning to call AI engine optimisation.
Second, the consumer's explicit demand for transparency means that complexity is no longer a defensible product design choice. As AI tools become more adept at translating financial jargon into accessible comparisons, providers that rely on obscured pricing or difficult-to-parse terms will find themselves at a systematic disadvantage in AI-mediated discovery environments.
Third, and perhaps most consequentially, the data suggests that the emotional and cognitive centre of gravity in the purchase journey has shifted earlier in the funnel than the checkout experience. Fintech and payments companies that treat point-of-sale as the primary battleground for consumer acquisition may be ceding influence at the research and consideration stages — precisely where AI is now most active.
Zip's research offers the industry a timely empirical anchor for a debate that has often proceeded on intuition alone. Two-thirds of US shoppers consulting AI before spending their money is not a projection or a forecast — it is the present state of consumer behaviour, and it demands a response calibrated to its scale.
Written by the editorial team — independent journalism powered by Codego Press.