On most weekday mornings, the hardest decision in many Indian homes is made in front of an open wardrobe. The cupboard is full, the clock is running, yet there seems to be nothing to wear. For a growing number of people, that small daily standoff is now settled by a phone. A styling app checks the weather and the day’s meetings, remembers the kurta that has not come out since last Diwali, and suggests a combination its owner had never thought of trying. Not long ago, such technology would have sounded like a luxury reserved for film stars and the very wealthy. Quietly, and without much fuss, AI has moved into the everyday choices that fill an ordinary week.
Today it sits on an ordinary smartphone, and it rarely stops at clothes. The person who lets an app pick Monday’s outfit is quite often the same person asking an Artificial Intelligence (AI) assistant where to eat on Saturday night or how to fit two days in Jaipur into a single long weekend.
Before the assistant hits ‘buy’
Earlier this year, OpenAI chief executive Sam Altman wrote that ChatGPT had crossed 100 million weekly users in the country, making India its second-largest market after the United States. In India, that habit has already reached a remarkable scale. For brands, the first audience will then be the machine doing the buying, which will judge them on how consistent and verifiable their information is. Only after convincing the system will a brand get a chance to win over the customer. People, however, will still pick the assistants they trust and walk away from recommendations that do not feel right.
Agoda’s 2026 Travel Outlook found that a third of Indian travellers already use AI to plan their trips, while 68% say they are likely to use it for the next one. Adobe’s data for the 2025 holiday season showed that traffic to US retail websites from generative AI tools rose by 693.4% over the previous year. A company may know exactly where it ranks on a search results page and how many people visited its website last week and still have little idea what an AI assistant tells a customer who asks for the best sneakers under Rs 5,000.
Weekend and holiday planning is heading in the same direction. When asked what they would want help with, travellers most often mentioned finding things to see and do at a destination, followed closely by building a personalised itinerary. Restaurant suggestions and budget management also featured on the list. The wardrobe and the weekend may seem like unrelated parts of life, but the same shift sits underneath both. A traditional search returns a page of links and leaves the sorting to the person reading it. An AI assistant does that sorting on its own and hands back a short answer, often with only two or three names in it. For a family planning a Sunday lunch in Gurugram, that answer may well become the entire shortlist. The restaurants, hotels and labels that fail to appear in it are not turned down by the customer. They are simply never considered. Retailers abroad have started to notice this trend in their numbers. The base is still modest, Adobe noted, but a jump of that size within a year is difficult to dismiss. For brands, the trend raises a question that most marketing dashboards were never built to answer. The answer can also differ depending on which assistant is asked, since each system draws on different sources and cites them in its own way. In practical terms, a brand no longer has one reputation online. It has several, each shaped inside a different model.