Artificial intelligence has evolved from a mere experimental concept to an essential part of everyday life. AI powers search engines, facilitates intelligent chat conversations, and is now becoming deeply integrated into our communication, research, and work processes. OpenAI is at the forefront of this evolution, introducing Operator, a groundbreaking autonomous agent designed to act on users’ behalf—not just provide information.
Launched in early 2025 as a Pro-tier feature within ChatGPT, Operator marks a significant shift in AI from reactive assistance to proactive task execution. While traditional AI chatbots wait for instructions and offer answers or suggestions, Operator ushers in a new era where AI actively performs tasks for you.
Operator is an AI agent developed by OpenAI to perform real-world tasks autonomously across the web. Unlike traditional AI that merely responds with information or generates text, Operator can open a browser, navigate websites, fill out forms, and complete complex online workflows. This functionality positions it as a “doer” rather than just a digital assistant.
This new agent isn’t just for answering queries like traditional ChatGPT—it can be instructed to complete entire tasks based on brief prompts. For example, rather than asking, “How can I make a restaurant reservation?”, a user can now say, “Book a table for two at an Italian restaurant downtown this Saturday at 7 PM,” and Operator will begin executing that task directly.
By combining OpenAI’s powerful language model capabilities with autonomous task execution, Operator sets the stage for what AI agents can truly become: hands-on helpers in digital environments.
Operator leverages the same core GPT model architecture behind ChatGPT, adding a significant new layer of functionality: a simulated browser environment. This allows the AI to view a web interface, interact with elements on the screen, and mimic the actions of a human using a keyboard and mouse.
When a task is assigned, Operator interprets the instruction and opens a virtual browser to perform the task. It “reads” content visually through screenshots and understands what’s on the screen in real-time. From there, it can take logical actions—like scrolling, clicking, typing, or selecting options in forms.
For instance, if a user instructs Operator to find and purchase a book, the agent will:
Operator doesn’t rely on APIs or third-party integrations to access websites. It operates within the same browser environment that any human would, allowing it to navigate a wide range of websites without needing special access or customized support.
Operator is a compelling evolution in AI due to its ability to act independently , completing multi-step tasks that previously required the user’s constant attention. While older versions of ChatGPT could assist with explanations or generate content to paste elsewhere, they couldn’t carry out tasks. Operator changes that.
This transformation is about more than convenience—it signifies a broader shift in how AI can directly handle digital workloads. For instance:
Operator is not only useful for personal tasks but also serves as a promising assistant for busy professionals, entrepreneurs, and digital workers seeking to streamline repetitive online chores.
Operator allows users to provide custom instructions, guiding its behavior during a task. For example, users can specify:
These additional inputs help shape how Operator approaches a task, ensuring outcomes align with user expectations.
Another standout feature is Operator’s ability to handle multiple tasks simultaneously. It can book a flight while searching for nearby hotel deals or place a grocery order while filling out a form—all within a managed task queue. This multitasking capability is particularly valuable for professionals and busy users who often juggle numerous responsibilities.
Currently, Operator is available exclusively to ChatGPT Pro subscribers as part of a research preview. This Pro tier, introduced in late 2024, costs $200 per month and targets early adopters and professionals who rely heavily on AI- powered tools.
Once the Pro plan is active, users can access Operator within the ChatGPT interface. Assigning a task is as simple as typing a natural language prompt. The AI will acknowledge the task, open a browser window within the platform, and start working.
Importantly, Operator is designed to work collaboratively. If it encounters a barrier—such as a CAPTCHA, login screen, or sensitive input like payment information—it returns control to the user. This approach balances autonomy with user oversight, keeping the process safe and reliable. OpenAI has announced plans to expand Operator access to other ChatGPT tiers in the future, including Plus, Team, and Enterprise users. A wider rollout is expected later in 2025.
OpenAI’s new Operator AI agent is more than an add-on—it’s a defining moment in the evolution of artificial intelligence. By allowing users to delegate digital tasks, Operator moves AI beyond conversation and into the realm of actionable autonomy.
It represents a shift in how people use ChatGPT—from a question-and-answer machine to a capable assistant that takes initiative. While access is currently limited to Pro users, the future of AI looks increasingly interactive and task-oriented.
Learn how to deploy Deepseek Janus Pro locally with this guide. Optimize performance and enhance data security on your machine
Discover how we’re using AI to connect people to health infor-mation, making healthcare knowledge more accessible, reliable, and personalized for everyone
Unlock the full potential of ChatGPT Search with smart tips for fast, accurate, and conversational information discovery.
OpenAI’s new model writes human-like content and helps users create stories, blogs, and poems with a natural flow.
Find out the 7 coding tasks ChatGPT can’t do and understand why human developers are still essential. Explore the real limits of AI in programming, architecture, debugging, and innovation
Discover ChatGPT, what it is, why it has been created, and how to use it for business, education, writing, learning, and more.
Master how to translate features into benefits with ChatGPT to simplify your product messaging and connect with your audience more effectively
Learn the key differences between data science and machine learning, including scope, tools, skills, and practical roles.
Transform your Amazon business with ChatGPT 101 and streamline tasks, create better listings, and scale operations using AI-powered strategies
Ready to scale your PPC campaigns? Use ChatGPT to optimize your ads, streamline campaign management, and boost performance. Maximize ROI with smarter automation and insights.
Unlock the full potential of ChatGPT and get better results with ChatGPT 101. Learn practical tips and techniques to boost productivity and improve your interactions for more effective use
Create a lead-generating AI chatbot. Know how lead capture is automated by AI-powered chatbot systems, which enhance conversions
Insight into the strategic partnership between Hugging Face and FriendliAI, aimed at streamlining AI model deployment on the Hub for enhanced efficiency and user experience.
Deploy and fine-tune DeepSeek models on AWS using EC2, S3, and Hugging Face tools. This comprehensive guide walks you through setting up, training, and scaling DeepSeek models efficiently in the cloud.
Explore the next-generation language models, T5, DeBERTa, and GPT-3, that serve as true alternatives to BERT. Get insights into the future of natural language processing.
Explore the impact of the EU AI Act on open source developers, their responsibilities and the changes they need to implement in their future projects.
Exploring the power of integrating Hugging Face and PyCharm in model training, dataset management, and debugging for machine learning projects with transformers.
Learn how to train static embedding models up to 400x faster using Sentence Transformers. Explore how contrastive learning and smart sampling techniques can accelerate embedding generation and improve accuracy.
Discover how SmolVLM is revolutionizing AI with its compact 250M and 500M vision-language models. Experience strong performance without the need for hefty compute power.
Discover CFM’s innovative approach to fine-tuning small AI models using insights from large language models (LLMs). A case study in improving speed, accuracy, and cost-efficiency in AI optimization.
Discover the transformative influence of AI-powered TL;DR tools on how we manage, summarize, and digest information faster and more efficiently.
Explore how the integration of vision transforms SmolAgents from mere scripted tools to adaptable systems that interact with real-world environments intelligently.
Explore the lightweight yet powerful SmolVLM, a distinctive vision-language model built for real-world applications. Uncover how it balances exceptional performance with efficiency.
Delve into smolagents, a streamlined Python library that simplifies AI agent creation. Understand how it aids developers in constructing intelligent, modular systems with minimal setup.