According to a December 2025 report by PYMNTS Intelligence, “How AI Becomes the Place Consumers Start Everything” [email wall], AI is becoming a start line for on a regular basis activity online by consumers . The report’s authors surveyed 2,100 US adults and found that the structure of digital discovery, which begins at a search engine portal, has modified. This is attributable to the AI-forward nature of common serps and the presence of dedicated AI vendors monetising via on-platform purchases.
The report describes a transition from a linear sequence of search, browse, compare, and purchase to repeated prompts that undertake the same tasks. The difference comes from the nature of the algorithm being queried, and the increased trend of AI platforms allowing users to make purchases on the chat platform – without visiting the vendor online. More than six in ten consumers used dedicated AI platforms in 2025, with some cohorts reducing their use of traditional search.
The report segments users in line with their patterns of AI use: holdouts, light users, mainstream users, and power users. Holdouts are inclined to be older, and cite concerns about personal data, while at the other extreme, power users commonly perform a minimum of 25 tasks, including higher-risk activities reminiscent of making personal financial decisions.
Evidence in the report suggests power users are commonest amongst the young, with Gen Z showing the lowest resistance to adopting each search and platform AI. Only 14% of ‘light users’ report being comfortable using AI for banking tasks.
Dedicated AI platforms are, due to this fact, becoming “first stops” for Gen Z and power users, and a 3rd of those two groups are confident enough to make use of AI tools to tackle personal tasks.
The report distinguishes between AI encountered inside serps and AI platforms. Users of dedicated platforms rely 27% less on serps than those that use AI-generated summaries on serps. Among those that use dedicated AI platforms, 43% report replacing their older, search engine-based methods of name and product discovery. By contrast, 59% of users who depend on AI summaries in search say those tools are complementary to somewhat than a substitute for traditional search.
Embedded AI in search appears, due to this fact, to increase existing habits, while use of dedicated AI environments appears to vary users’ behaviour; thus, the online environment is the most significant variable to think about by marketers.
The report identifies users expressing privacy concerns, citing AIs’ difficulty understanding user intent, and inaccuracies in AI responses as barriers to the technology’s popularity. These aspects are especially relevant in the uptake of AI in higher-stakes domains reminiscent of personal finance and online payments. Light users of AI are almost certainly to only use the technology for writing and shopping discovery.
Consumers show a preference for using digital wallets when interacting with an AI to make payments. A preference for wallets may reflect a must preserve control over personal payment data and depend on trusted authentication methods. The report concludes that it might be the digital wallet that becomes the mainstream trust layer in AI-mediated commerce.
The report’s authors describe AI, due to this fact, as a distribution layer, so firms depending on discovery through traditional search algorithms or brand apps may have to duplicate their product messaging on AI systems in the event that they are to grow to be the de facto provider of recommendations.
Power users, already engaged in cross-domain AI use, could also be engaged with for higher-risk applications more easily. Mainstream users are on the lookout for reliability and safety and are due to this fact less more likely to integrate AI into their purchase processes.
The report concludes that some consumers are moving towards an AI-first navigation of every day life, however it recognises that trust and accuracy issues are limiting wider adoption. The evidence points to the early displacement of search and app-based discovery only being notable amongst specific cohorts and in particular use-cases.
For marketing decision makers, the relocation of purchase and discovery is lively in some segments, and it seems likely that traditional and AI systems will operate in parallel for a while.
The report doesn’t resolve how quickly any transition may happen. It does indicate that the change is underway and implies that traditional discovery strategies may, in time, face structural change, while people who adapt to AI-mediated environments may gain a bonus depending on the nature of the product or brand.
(Image source: “In to the Dark…in search of Light” by VinothChandar is licensed under CC BY 2.0.)
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