ChatGPT Apps in 2025–2026: Trends and the Most Popular Use Cases.

ChatGPT Apps arrived in late 2025. The platform already had hundreds of millions of weekly users who had made AI conversation a daily habit for research, writing, planning, and everything in between. The question was which types of apps would actually work inside that environment, and which industries would move first.

A few months into 2026, patterns are starting to emerge. The use cases gaining traction are not always the ones that seemed most obvious, and the industries leading adoption are consistent with where ChatGPT usage was already concentrated.

The context: where ChatGPT users already were

Before looking at where Apps are gaining traction, it helps to understand what ChatGPT users were already doing on the platform.

OpenAI published its largest analysis of ChatGPT usage in May 2025, covering 1.5 million conversations from 700 million weekly users. The findings showed that around half of all usage fell into information-seeking and recommendations - people asking for comparisons, advice, and guidance. Writing was the dominant work use case, followed by research and coding assistance.

Travel and booking: the clearest early fit

Travel was always the most obvious category for ChatGPT Apps, and early results confirm it. Booking.com, Expedia, and Kiwi were among the first partners to build integrations, and the use case explains itself.

A user planning a trip is already in a complex, multi-step conversation: where to go, when to travel, how much to spend, where to stay, how to get there. That conversation is exactly the context where an app can show up at the right moment with something immediately useful - real listings, live pricing, available dates without requiring the user to leave the chat and start over on a separate website.

Productivity and creative tools: embedding into knowledge work

Canva, Figma, and Dropbox represent a category that is less about direct consumer purchase and more about fitting into how people already work.

Writing makes up roughly 40% of work-related ChatGPT usage. People are already using the platform to draft documents, outline presentations, and structure content. An app that takes that outline and turns it into an actual slide deck like Canva's integration closes a gap that previously required leaving the conversation entirely.

This category is particularly relevant for enterprise users. ChatGPT Business and Enterprise access was added to the App ecosystem in November 2025, and enterprise users tend to run more complex, multi-step workflows. The apps that benefit most here are the ones connecting to tools those users already rely on - project management platforms, cloud storage, design tools, so that ChatGPT becomes a coordination layer rather than a separate destination.

OpenAI's developer guidance explicitly calls out integration with Google Drive, Slack, and Airtable as examples of the kind of external connectivity that makes apps more useful for work. These connections allow apps to pull in context the document you're working on, the thread you're referencing and act on it within the same conversation.

E-commerce: agentic shopping is just starting

Retail and consumer goods represent one of the highest-potential categories, and also one of the most complex to get right inside a conversational interface.

OpenAI's partnership with Shopify and the rollout of the Agentic Commerce Protocol signal clearly where the platform is headed: a world where users can discover, compare, and purchase products without leaving the chat. Shopping-related queries have been growing consistently, and ChatGPT is already driving meaningful referral traffic to retailers in multiple regions.

The apps doing e-commerce well right now are focused ones a specific product category, a clear intent (reorder groceries, find running shoes under a certain price), and a short conversion flow. Broad catalog shopping still lives better on a dedicated storefront. The ChatGPT App layer captures the moment of intent and routes users efficiently to the right outcome.

The bigger shift is still ahead. As in-app checkout expands beyond its current limited rollout, and as the Agentic Commerce Protocol matures, the barrier between "I want this" and "I have this" inside a conversation will continue to shrink.

Food delivery and local services: frequency compounds

DoorDash was among the launch partners, and food delivery illustrates something important about the App ecosystem: high-frequency, well-defined use cases have a structural advantage.

The intent signal for food delivery is immediate and specific. The action is simple and well-defined. The interaction is short. An app used multiple times a week generates usage data quickly and that data matters, because apps that get used regularly generate better signals for the recommendation system than apps used rarely.

Local services follow the same pattern. Restaurants, appointments, home services users can describe what they need in a sentence. The app's job is to take that intent and return something actionable immediately. The conversational interface is well suited to this kind of request, and the use cases are high-volume enough that the feedback loop between usage and recommendation quality can close relatively fast.

Education and learning: a quietly growing category

Coursera was among the early launch partners, and education is emerging as a category with more depth than it might initially appear.

The combination of ChatGPT's conversational ability with a dedicated platform's content library is a genuinely different experience from either product alone. A user who asks ChatGPT to help them understand a machine learning concept and then gets routed to an interactive Coursera lesson is closer to learning than they would be with either a text explanation or a static course page alone.

What this means for businesses evaluating the format today

The pattern across all of these categories points to a consistent principle: the use cases that work are the ones where conversation naturally precedes action. Users who are already talking about planning a trip, finding a restaurant, or creating a presentation are close to doing something. Apps that appear at that moment and make the next step easy earn their place.

The trend is not reversing. Conversational AI has become a genuine daily habit for hundreds of millions of people. The businesses that establish presence and earn trust inside that habit now are building an advantage that is, by definition, easier to establish before the category is crowded.

Whether the timing is early or late depends on the category. In travel, the front-runners are already positioned. In health and finance, the opportunity is still largely open. In most categories between those extremes, there's a real window early enough to differentiate, late enough that the infrastructure is mature enough to build on.

AI is evolving. The question for most businesses is no longer whether it matters. It's whether to shape the category now or catch up later.