I've been shopping online for 25 years but I had no idea how ChatGPT and Gemini could change the experience (www.techradar.com)

2025 may mark the first full “AI Holiday Shopping Season,” and a Prime Day experiment comparing ChatGPT (GPT‑5), Google Gemini 2.5 Pro and Anthropic’s Claude (Sonnet 4.5) shows why. The tester gave a constrained shopping brief — five tech gifts under $100, smaller than a bread box, fun or whimsical — and the AIs returned usable, deal-focused lists in real time. Gemini responded fastest and produced the most varied picks; Claude leaned on TechRadar-sourced recommendations and was sometimes out of date; ChatGPT favored Amazon products. All three followed the constraints and surfaced attractive discounts (Adobe forecasts a 520% YoY jump in AI shopping traffic), but they differed in latency, sourcing and tone. Technically and practically, the piece highlights core strengths and weaknesses for AI-driven commerce: strong constraint handling and deal discovery (examples: Echo Pop, Victrola Willow, Blink doorbells, Roku/Fire TV sticks, POCOCO Galaxy projector, AirTag, Instax Mini, Anker MagGo) but uneven provenance, occasional stale pricing, and platform bias. For the AI/ML community this underscores priorities — reliable retrieval/real‑time pricing feeds, provenance/transparency, latency optimization, and careful UI for consumer tradeoffs (privacy, subscriptions). As generative models become shopping hubs, robust grounding and multi-source validation will be essential to avoid misleading recommendations while unlocking genuinely transformative, personalized shopping experiences.