
AI Shifts from Search Tool to Emotional Confidant and Shopping Adviser
From mental health support to retail purchases, conversational AI is reshaping how people seek advice and make decisions, with usage surging across continents.
The number of people turning to AI chatbots for emotional support has surged, with companion app usage growing 700 percent between 2022 and mid-2025, according to the Bipartisan Policy Center. A 2025 survey by Sentio University found that nearly half of AI users with mental health conditions—most commonly anxiety, depression, and stress—now use chatbots for emotional support. Generative AI platforms have made mental health guidance their top use case, and ChatGPT alone counts over 900 million weekly active users, a notable proportion of whom engage on psychological topics.
This shift is driven by a move from transactional, one-and-done queries to continuous, relationship-like interactions. A new technique called loop engineering instructs AI to run a persistent advisory loop, transforming the chatbot from a question-answering tool into a relationship-focused counsellor. The same dynamic is unfolding in commerce. In Brazil, 76 percent of consumers say they intend to use AI for shopping, and 52 percent have already used tools like ChatGPT to support purchase decisions in the past year, per a Visa study and the Adyen Retail Report 2025. The mechanism is the AI’s ability to maintain context and personalise responses, making it a trusted intermediary for decisions once reserved for human confidants or independent web searches.
Viewed from Stockholm, healthcare providers face a different barrier: patient data remains locked in non-interoperable systems, preventing AI from delivering clinical value. Swedish health-tech firms argue that open APIs and modular platforms are prerequisites for AI to assist with documentation, triage, and patient service, yet legacy vendors resist opening their systems. In the United States, Brookings Institution data shows a long-term decline in the number of adults with ten or more close friends, while Character.ai users now spend over 90 minutes a day conversing with chatbots. Analysts in São Paulo note that 73 percent of Brazilian retailers plan to increase AI investment this year, and brands are scrambling to appear in AI-generated responses as 36 percent of desktop users already rely on AI tools for product discovery, Comscore data from 2026 shows.
The next regulatory milestone is the EU AI Act’s compliance deadline for high-risk AI systems, including mental health applications, which will require rigorous transparency and safety standards from 2026. In parallel, the European Health Data Space regulation is set to mandate interoperable health data sharing across member states, a step that could unlock clinical AI use. In retail, the rollout of conversational shopping features by major e-commerce platforms is expected to accelerate as Brazilian retailers move from experimentation to integration, with 82 percent considering AI essential for near-term competitiveness.
| Atlantic / Anglosphere press | +0.30 | aligned |
|---|---|---|
| Continental European press | −0.20 | neutral |
| Latin American press | 0.00 | neutral |
The Atlantic tech industry presents AI as a market-ready product, a robot that works for money, reducing complexity to a matter of efficiency and profit.
The narrative turns AI from an abstract concept into a physical commodity, using technical details and delivery promises to build investor confidence.
It omits ethical implications, technological unemployment, and surveillance risks, focusing solely on economic potential.
Nordic continental Europe frames AI as a matter of commercial justice, where large platforms must be controlled to protect consumers and competitors.
It uses a concrete legal case to generalize the risk of power abuse by AI companies, turning a specific dispute into a universal warning.
It does not mention the benefits of AI for innovation or growth, focusing only on regulatory and punitive aspects.
Latin America ignores conversational AI, focusing on internal topics like privatizations, financial markets, and sports competitions.
The editorial choice not to cover the story communicates that AI is not relevant to the local audience, reinforcing the idea of different priorities.
It completely omits the global AI debate, suggesting the region is focused on more immediate challenges.
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